Pneumonia: the alveoli fill up, and five bedside variables decide where you are treated

Topic: pneumonia: the alveoli fill up, and a handful of bedside variables decide where you are treated · Since 1980 · Grounded citations only · Published 2026-08-31

The lung's job is to put a very large surface in contact with air. It does that with a very large number of alveoli — thin-walled sacs, each wrapped in capillaries, where oxygen crosses into the blood and carbon dioxide crosses out. The barrier between air and blood is about a micrometre thick, because gas exchange needs it to be.

Pneumonia is infection of those air sacs. Bacteria, viruses or fungi reach the alveoli and the lung mounts an inflammatory response: neutrophils and fluid pour into spaces that are supposed to contain nothing but air. The consequence is mechanical before it is anything else. Alveoli full of fluid and pus cannot exchange gas. Blood flowing past them returns to the heart still deoxygenated. That is why the cardinal symptoms are cough, fever, breathlessness and pleuritic chest pain — pain that is sharp and worse on breathing in, because the inflammation has reached the pleural surface — and why the cardinal sign on a chest radiograph is an infiltrate: the fluid-filled region shows up white where air would be black.

It is one of the world's leading infectious killers. The Global Burden of Disease study estimated that lower respiratory infections caused 2,377,697 deaths in 2016 across all ages — including 652,572 in children under 5 and 1,080,958 in adults over 70 — with Streptococcus pneumoniae the single leading cause, contributing more deaths than all other aetiologies combined at 1,189,937 [1].

Those numbers contain a correction to the popular picture, and the paper never states it. Pneumonia is widely framed as a childhood killer. Adding the two age extremes, the over-70s account for 1.66 times as many lower-respiratory-infection deaths as the under-5s, and together the two groups are 72.9 percent of the global total. Both ends of life are vulnerable; the older end is now the larger burden.

Severity spans almost the entire clinical range. The same diagnosis covers a person treated at home with tablets and someone ventilated in intensive care, and the difference is not a different disease but a different position on a risk gradient. In the derivation cohort of the score this review is built around, 30-day mortality ran from 0.7 percent to 57 percent depending on five findings available at the bedside [2]. Deciding where a patient should be treated is therefore the first and most consequential clinical act, and it is what the centerpiece is about.

And a great deal of it is preventable. Vaccines against the leading bacterial cause and against the viruses that precede it work, and are covered below. So is the most basic finding in the paediatric data: childhood wasting remains the leading risk factor for under-5 lower-respiratory-infection mortality, responsible for 61.4 percent of those deaths [1]. In the highest-burden countries, improving wasting, household air pollution, ambient particulate pollution and antibiotic access could avert one under-5 death for every 4,000 children treated [1]. The biggest available gains are not pharmaceutical.

Centerpiece: five bedside variables and the disposition decision

0 1 2 3 4 5 CURB-65 score 0 10 20 30 40 50 60 70 30-day mortality (%) outpatient admit assess for ICU 81-fold spread in 30-day mortality, from five bedside variables the kink: 3.2% at score 1, 3.0% at score 2 — the original series is not monotonic here whole-cohort mortality 9% One point each for Confusion, Urea >7 mmol/l, Respiratory rate ≥30/min, low Blood pressure and age ≥65. The three disposition bands are the conventional reading of the score. The specific cut-points are NOT stated in the text this review can cite — the founding paper says only that the score stratifies patients “into different management groups” — so the bands are ILLUSTRATIVE. Every mortality value plotted is a reported figure. A few bedside variables decide where you are treated Lim 2003 (n=1,068) Capelastegui 2005 (n=1,776) 0 1 2 3 4 5 CURB-65 score 0 20 40 60 80 30-day mortality (%) 0.7 2.1 4.6 4.0 0.4 3.0 gap between the two cohorts, percentage points scores 0–2 mean gap 2.47 pts = 95% of the value scores 3–5 mean gap 2.47 pts = 6% of the value The two cohorts differ by an identical average of 2.47 percentage points at the top of the score and at the bottom. At the top that is a 6% disagreement; at the bottom it is 95% — and the bottom is where the send-home decision is made. Neither paper compares the two tables. The same absolute gap, 15× worse where it matters Lim 2003 Capelastegui 2005
Left: 30-day mortality against CURB-65 score in two independent cohorts, with the conventional disposition bands. Right: the same two cohorts placed side by side — an identical average absolute disagreement at the top and bottom of the score, which means something very different at each end.

A patient arrives short of breath with a fever and an infiltrate on the chest film. The question that has to be answered in the next few minutes is not which organism it is — that will take days, if it is ever established — but where this person should be treated. Home, a ward bed, or intensive care. Get it wrong in one direction and someone deteriorates unmonitored at home; get it wrong in the other and a hospital fills with people who did not need admitting.

CURB-65 answers it with five findings, each worth one point: Confusion, blood Urea above 7 mmol/l, Respiratory rate of 30 or more per minute, low Blood pressure (systolic below 90 or diastolic 60 or less), and age 65 or over [2]. It was derived and validated across three prospective cohorts in the UK, New Zealand and the Netherlands — 1,068 patients, mean age 64, overall 30-day mortality 9 percent — using multiple logistic regression with 30-day mortality as the outcome [2].

The resulting gradient is the left panel: 0.7 percent at score 0, 3.2 percent at 1, 3 percent at 2, 17 percent at 3, 41.5 percent at 4, and 57 percent at 5 [2].

What the score buys, stated as a number neither paper gives. That range is an 81-fold spread in 30-day mortality, produced by five things a clinician can establish with a conversation, a blood pressure cuff, a watch and one blood test — in a cohort whose overall mortality was 9 percent. Sorting an undifferentiated group of pneumonia patients into strata running from well below to far above the average, without imaging, culture or any specialised equipment, is the entire case for bedside risk scoring.

And there is a kink in the original series that nobody remarks on. Mortality at score 1 is 3.2 percent and at score 2 is 3.0 percent. The score goes up and the risk goes very slightly down — the series is not monotonic at exactly the point where the outpatient/admit boundary sits.

An independent cohort resolves it. In a consecutive series at a 400-bed teaching hospital — 1,100 inpatients plus 676 outpatients, 1,776 in total — 30-day mortality by CURB-65 score was 0 percent, 1.1, 7.6, 21, 41.9 and 60 percent [3]. That series is monotonic throughout, so the kink in the original is a small-sample artefact, which is what an independent validation is for. The same study confirmed the score's association with need for mechanical ventilation, admission rate and length of stay.

The check the arithmetic was never given, and it lands on the decision boundary. Both papers print a table; nobody puts the two side by side. Doing so shows that the two cohorts differ by an average of 2.47 percentage points at the top of the score (3–5) and by an average of 2.47 percentage points at the bottom (0–2) — identical to four decimal places, which is a coincidence, and a useful one because it isolates what changes.

Those same 2.47 points are 6 percent of the value at the top of the score and 95 percent of it at the bottom — a fifteen-fold worse relative agreement precisely where the send-home decision is made. At a score of 4 the two cohorts say 41.5 and 41.9 percent, and no clinical decision turns on the difference. At a score of 2 they say 3.0 and 7.6 percent, and the difference is between an outpatient and an inpatient. The score is most reliable exactly where it is least needed, and least reliable where it decides the most.

The other score was built for the other end. The Pneumonia Severity Index takes a different approach — twenty variables spanning age, coexisting disease, physical findings and laboratory results, sorted into five risk classes — and was derived on 14,199 inpatients and validated on 38,039 inpatients plus 2,287 patients in the PORT cohort, a derivation cohort thirteen times the size of CURB-65's. Its design goal was explicitly to identify low-risk patients, and it does: mortality was 0.1–0.4 percent in class I, 0.6–0.7 percent in class II and 0.9–2.8 percent in class III, with only seven deaths among the 1,575 PORT patients in the three lowest classes — and only four of those pneumonia-related [4] [5] [6].

Head-to-head, the two have different strengths, and the honest comparison says so. In a prospective cohort of 392 emergency-department patients, CURB-65 predicted mortality well but performed less well when need for ICU admission was included in the outcome, while the PSI and CURB performed similarly across outcomes and the modified BTS score did best overall [7]. The severity-prediction rules have been validated repeatedly with mixed results — one UK validation found the BTS rule 52 percent sensitive and the modified rule 66 percent sensitive for death, notably worse than in the derivation studies, in a population with a high proportion of very elderly patients [8] — and further rules have been developed specifically to identify severe pneumonia rather than death, one reaching an area under the curve of 0.92 and outperforming CURB-65, the PSI and the modified ATS rule for that particular target [9]. Prognostic factors have been characterised independently across many cohorts [10] [11] [12] [13] [14] [15] [16], including alcohol intake as both a risk and a prognostic factor [17], and radiographic findings at presentation have been tested as mortality predictors [18].

Two honest limits on the figure. The three disposition bands drawn on the left panel are the conventional reading of the score; the founding paper states only that it stratifies patients "into different management groups", so the specific cut-points are illustrative rather than quoted. And CURB-65 predicts mortality, which is not the same as predicting need for a ward bed — a young person with hypoxia and no CURB-65 points may still need admitting, and the score does not know that.

The teaching point. Five variables, obtainable in minutes, spread 30-day mortality across nearly two orders of magnitude — enough to decide where someone is treated. That is risk-based triage working. The right panel is the caveat that comes with it: the strata at the bottom of the score, where the score is used to send people home, are exactly the strata on which independent cohorts agree least.

Pillar 1: measurement and diagnosis

The chest radiograph, and how much it actually settles

An infiltrate on the chest film is the standard confirmation of pneumonia, and it is genuinely necessary — clinical features alone are unreliable enough that prediction rules exist purely to decide who needs the film [19] [20]. But three limitations deserve stating.

Observers disagree. Interobserver reliability of the chest radiograph in community-acquired pneumonia has been formally measured [21], and standardised interpretation protocols had to be developed for paediatric epidemiological studies precisely because unstandardised reading was not reproducible enough to count cases [22] [23].

It cannot tell you the organism. Five observers reading 36 chest films from patients with laboratory-proven diagnoses achieved a sensitivity for bacterial pneumonia of 42 to 58 percent [24]. Radiographic features of Legionnaires' disease, pneumococcal pneumonia and mycoplasma have been compared directly and overlap substantially [25] [26]. The film tells you there is pneumonia, not what caused it.

And it can be normal early. Patients admitted with suspected pneumonia and a normal chest radiograph are a described population with their own epidemiology and microbiology [27], high-resolution CT detects infiltrates the plain film misses [28] [29], and in mechanically ventilated patients the diagnostic accuracy of the portable film against autopsy findings is poor [30]. Radiographic clearing also lags recovery by weeks [31], which is why a persisting shadow in someone who feels well is usually not treatment failure.

The categories, which change everything downstream

Pneumonia is classified by where it was acquired, because that predicts the organism and therefore the antibiotic.

Community-acquired pneumonia (CAP) is the ordinary case, managed under long-standing consensus guidelines [32] [33].

Hospital-acquired and ventilator-associated pneumonia (HAP/VAP) arise in patients already in hospital, and the organisms are different and more resistant [34] [35]. Ventilator-associated pneumonia is common: 177 of 1,014 mechanically ventilated patients (17.5 percent) developed it at a median 7 days, with the daily hazard falling after day 5 — 3.3 percent per day at day 5, 2.3 percent at day 10, 1.3 percent at day 15 — and independent risk factors including burns, trauma, central nervous system disease, witnessed aspiration and paralytic agents [36]. Incidence, attributable mortality and cost have been quantified repeatedly [37] [38] [39] [40] [41], along with the debates the field has never fully settled [42] [43].

A cautionary tale about a third category. "Healthcare-associated pneumonia" was introduced to capture patients from nursing homes and dialysis units who were thought to carry hospital-type organisms [44], and it was written into guidelines [34]. It was subsequently dropped, because it drove broad-spectrum treatment in patients who mostly did not need it. That reversal is a useful reminder that a category invented to improve empirical therapy can make it worse.

Aspiration — inhalation of oropharyngeal or gastric contents — is the fourth route, and witnessed aspiration is among the strongest independent risk factors for ventilator-associated pneumonia [36].

Typical, atypical, and viral

Typical bacterial pneumonia is dominated by Streptococcus pneumoniae, still the leading global cause of lower-respiratory-infection death [1] [45] [46], with Haemophilus influenzae and Moraxella also contributing.

Atypical pathogens — Mycoplasma pneumoniae, Chlamydia pneumoniae and Legionella — are so named because they do not respond to beta-lactams, which act on a cell wall that mycoplasmas do not have and that the intracellular organisms are shielded from. Mycoplasma pneumoniae causes more illness than its reputation suggests, with extrapulmonary complications across multiple organ systems and severity apparently tracking the vigour of the host response [47]. Chlamydia pneumoniae was identified as the TWAR strain in the 1980s [48] [49] and quantified in prospective series [50] [51]. Atypicals are common everywhere: across 4,337 patients in four world regions, their incidence in CAP was 20 to 28 percent [52]. Legionella in particular punishes delay — delayed appropriate therapy is associated with increased mortality [53] — and has emerged as a specific hazard in patients on TNF antagonists [54].

Viruses are the commonest finding when you look properly, and this is the single most surprising result in modern CAP epidemiology. In the EPIC study, 2,320 US adults hospitalised with radiographically confirmed CAP underwent systematic blood, urine and respiratory testing by culture, serology, antigen detection and molecular methods [55]. A pathogen was detected in only 38 percent — one or more viruses in 23 percent, bacteria in 11 percent, both in 3 percent. The commonest single agents were human rhinovirus (9 percent), influenza (6 percent) and S. pneumoniae (5 percent) [55]. In the paediatric arm, detection was much better — a pathogen in 81 percent of 2,222 children, viruses in 66 percent and bacteria in 8 percent, with RSV in 37 percent of under-5s and Mycoplasma in 19 percent of those 5 and over [56].

Two conclusions follow, and both matter. Respiratory viruses cause more hospitalised pneumonia than bacteria do. And in the majority of adults, no pathogen is identified at all, despite comprehensive modern testing. Empirical antibiotic therapy is not a failure of diligence; it is the normal condition of this disease.

Microbiology, and its modest yield

Sputum Gram stain is quick and specific but limited by sample quality: in 533 hospitalised patients only 210 (39 percent) produced a good-quality sample, of which 175 showed a predominant morphotype, giving a sensitivity of 57 percent and specificity of 97 percent for pneumococcal pneumonia [57]. Blood cultures are positive in a minority, and their usefulness rises with severity [58]. Pneumococcal urinary antigen is the mirror image of the Gram stain — sensitivity 65.9 percent, specificity 100 percent in 220 adults [59] [60] — so a positive result is decisive and a negative one is uninformative. Multiplex PCR improved on all of them: a combined real-time assay was significantly more sensitive than conventional methods for the main viruses and atypical bacteria, and returned results within a clinically relevant window [61] [62].

In ventilated patients, sampling is invasive and the debate over technique is old and largely settled toward pragmatism. Quantitative cultures of bronchoalveolar lavage, protected specimen brush and endotracheal aspirates have been compared extensively [63] [64] [65] [66] [67] [68] [69] [70], invasive quantitative sampling was tested against clinical management and found to affect outcome [71], but the counter-position that invasive testing is not routinely needed was argued early [72], and a later comparison of quantitative against qualitative cultures found no clinical-outcome advantage [73].

Biomarkers

Procalcitonin rises in bacterial infection and much less in viral illness [74] [75], and the diagnostic literature comparing it with C-reactive protein is large [76] [77] [78]. Its real value has turned out to be not diagnosis but stopping antibiotics, which is covered under stewardship below. Procalcitonin kinetics also carry prognostic information in ventilator-associated pneumonia [79].

Pillar 2: treatment and prevention

Empirical antibiotics: choose by setting, severity and risk

Because the organism is usually unknown at the moment of treatment — and in most adults will never be known [55] — initial therapy is empirical, chosen to cover what is likely given where the pneumonia was acquired and how sick the patient is. Following the guideline matters: among 54,619 adults, initial guideline-concordant therapy was associated with lower in-hospital mortality (odds ratio 0.70), less sepsis and renal failure, and about 0.6 fewer days of stay and of parenteral therapy [80] [81].

For non-severe CAP, a beta-lactam is the backbone, and the atypical question is genuinely unsettled. A meta-analysis of trials in non-severe CAP found no advantage for antibiotics active against atypical pathogens over beta-lactams overall (relative risk 0.97) — with one exception, patients later shown to have Legionella, in whom atypical coverage was clearly better (0.40, 0.19–0.85) — and concluded that beta-lactams should remain the initial choice [82]. A Cochrane review of 28 trials and 5,939 hospitalised patients likewise found no mortality difference between regimens with and without atypical cover, with an apparent bacteriological advantage that disappeared when only high-quality studies were analysed [83].

But for hospitalised and severe pneumonia the balance shifts the other way. Across 4,337 patients in four regions, those treated with atypical coverage had shorter time to clinical stability (3.2 versus 3.7 days), shorter stay (6.1 versus 7.1 days) and lower total mortality (7 versus 11.1 percent) [52]. Adding a macrolide to a beta-lactam in bacteraemic pneumococcal pneumonia was associated with lower in-hospital mortality [84], monotherapy appeared suboptimal for severe bacteraemic pneumococcal disease [85], and macrolide combination improved survival in intubated CAP patients [86]. A randomised non-inferiority trial then failed to show that beta-lactam monotherapy was non-inferior to beta-lactam plus macrolide in moderately severe CAP: 41.2 percent versus 33.6 percent had not reached clinical stability at day 7, with the upper confidence limit exceeding the non-inferiority boundary, and the deficit concentrated in patients infected with atypical pathogens (hazard ratio 0.33) or with PSI class IV disease — while those without atypical infection or with PSI I–III did equally well on monotherapy [87]. Part of the macrolide effect may not be antibacterial at all: their anti-inflammatory properties are a recognised and underappreciated contributor [88].

That is a coherent picture rather than a contradiction. The sicker the patient and the more likely an atypical organism, the more atypical coverage is worth — and in mild outpatient disease it mostly is not.

Resistance constrains the choices. Macrolide resistance in S. pneumoniae is well characterised mechanistically [89] [90] and clinically consequential: macrolide treatment failure occurs in bacteraemia due to erythromycin-resistant pneumococci [91].

For HAP and VAP the spectrum is broader, because the organisms include Pseudomonas aeruginosa, Acinetobacter baumannii and MRSA [34] [92] [93] [94] [95]. Multidrug resistance in VAP pathogens has measurable impact on outcome [96], appropriate initial therapy matters greatly [97] [98], and combination versus monotherapy has been tested directly [99] [100] [101]. Inhaled antibiotics have been used as adjuncts for resistant Gram-negative VAP [102] [103].

De-escalation, short courses and stopping

This is where the field has moved most, and the direction is consistently toward less.

Short courses work. The landmark trial randomised patients with VAP who had received appropriate initial therapy to 8 versus 15 days: there was no excess mortality (18.8 versus 17.2 percent) and no more recurrent infection (28.9 versus 26.0 percent), but 4.4 more antibiotic-free days. The exception was VAP caused by non-fermenting Gram-negative bacilli including Pseudomonas, where recurrence was higher on the short course (40.6 versus 25.4 percent). And among patients who did have recurrences, multiresistant pathogens emerged less often after 8 days than after 15 (42.1 versus 62.0 percent) [104] — the short course was not merely equivalent, it left behind less resistance. A Cochrane review of six studies and 1,088 participants confirmed the pattern: short courses increased antibiotic-free days and reduced recurrence due to multi-resistant organisms (odds ratio 0.44) without harming mortality [105] [106] [107]. Short-course strategies have also been tested in CAP [108] [109] and in undifferentiated pulmonary infiltrates in the ICU [110].

De-escalation — narrowing therapy once cultures return — is established practice in VAP [111] [112], and a randomised antibiotic-discontinuation policy has been tested for clinically suspected VAP [113].

Procalcitonin can tell you when to stop. In ProHOSP, 1,359 patients with lower respiratory tract infections randomised to procalcitonin guidance versus standard guidelines had similar adverse outcomes (15.4 versus 18.9 percent) but mean antibiotic exposure of 5.7 versus 8.7 days (a 34.8 percent reduction) — with the reduction largest in acute bronchitis (1.0 versus 2.8 days) and substantial in CAP (7.2 versus 10.7 days) — and fewer antibiotic-associated adverse effects (19.8 versus 28.1 percent) [114]. A Cochrane review across 32 randomised trials reached compatible conclusions [115] [116] [117], as did procalcitonin-guided strategies in the ICU [118] [119] [120] [121] and in CAP specifically [122] [123].

The stewardship point, stated plainly. Respiratory viruses cause more hospitalised adult pneumonia than bacteria do [55] [56], and antibiotics do nothing for them. But no available test reliably distinguishes viral from bacterial pneumonia at the moment treatment must start — the radiograph cannot [24], and procalcitonin shifts probabilities rather than settling them [76]. The practical resolution is not to withhold antibiotics from sick patients on a guess, but to start them and then stop early, guided by clinical stability [124] and, where available, by procalcitonin [114] [115]. Antimicrobial resistance is a global multifaceted problem [125] [95], and duration is the part of it that individual prescribers most directly control.

Supportive care, and knowing when someone is better

Oxygen, fluids and, where needed, ventilatory support are the substrate on which antibiotics work. Judging recovery has been formalised: explicit criteria for time to clinical stability in hospitalised CAP found a median of 2 days to stability by the most lenient definition and 7 by the most conservative, with sicker patients taking longer — and, importantly, once stability was reached, deterioration requiring intensive care occurred in 1 percent of cases or fewer [124]. The same study found substantial inefficiency: 65 to 86 percent of patients stayed more than a day after reaching stability, and fewer than 29 to 46 percent, depending on the stability definition used, were switched to oral antibiotics within a day of it [124]. Those criteria are the evidence base for switching to oral therapy and discharging.

Prevention

Pneumococcal conjugate vaccines are the major success. The heptavalent conjugate was 97.4 percent efficacious (95% CI 82.7–99.9) against invasive disease caused by vaccine serotypes in fully vaccinated children, and 93.9 percent in intention-to-treat, with additional effects on otitis media [126] [127]. A nine-valent formulation worked in children with and without HIV infection [128] [129]. Effectiveness studies confirmed the trial results in practice [130] [131], pneumonia admissions fell after routine childhood immunisation [132], and drug-resistant pneumococcal disease declined as well [133].

The mechanism includes an indirect effect that is arguably the more important one. Conjugate vaccines reduce nasopharyngeal carriage [134] [135] [136], so vaccinated children stop transmitting. That produces herd protection in adults who were never vaccinated: among US adults aged 50 and over, invasive pneumococcal disease fell 28 percent between 1998–99 and 2002–03, driven by a 55 percent fall in disease caused by the seven conjugate serotypes — in a population being given a different vaccine [137]. A childhood vaccine cut disease in their grandparents.

The honest counterweight is serotype replacement. Pneumococci not covered by the vaccine expand into the vacated niche. Incidence of disease due to non-PCV7 serotypes rose in the United States [138], invasive disease from non-vaccine serotypes appeared among Alaska Native children with high vaccine coverage [139], and the England and Wales analysis quantifies both sides at once: after eight years of conjugate vaccine use, overall invasive pneumococcal disease was down 56 percent against the pre-PCV7 baseline (15.63 to 6.85 per 100,000), with an 86 percent reduction in PCV7 serotypes and 69 percent in the additional PCV13 serotypes — while non-PCV13 serotypes increased by 25 percent [140] [141]. The net effect is strongly favourable and the replacement is real, which is why valency keeps rising.

The polysaccharide vaccine is the older adult product, with efficacy of 57 percent overall against invasive disease and 75 percent in immunocompetent people over 65, not declining measurably with time since vaccination [142] [143]. Recommendations now combine conjugate and polysaccharide vaccines in adults and in immunocompromised groups [144] [145], with immunogenicity of the 13-valent conjugate established in adults 70 and over [146] [147] and WHO position articulated for childhood immunisation [148].

Influenza vaccination prevents pneumonia too, both directly and by removing the viral insult that precedes bacterial superinfection. Efficacy in elderly persons is established [149] [150] [151] [152], hospital admissions for pneumonia in non-institutionalised elderly people fell as a result of vaccination [153], and mortality among adults hospitalised with CAP was lower in those vaccinated [154] — including, strikingly, outside the influenza season [155], which raises the question of confounding by healthy-user effects as much as it demonstrates benefit. Influenza and pneumococcal vaccines can be co-administered [156] [157] [158] [159], vaccinating healthcare workers who care for the elderly has been assessed [160], and vaccination in pregnancy is recommended [161].

Smoking cessation removes the single most important modifiable host defence impairment in adults, and in the paediatric setting the corresponding targets are wasting and household air pollution [1].

The biology, briefly

The alveolus is not passive. Resident alveolar macrophages and the epithelium detect conserved microbial structures through pattern-recognition receptors, and two of these are directly implicated in pneumonia. Toll-like receptor 4 recognises pneumolysin, the pneumococcal toxin, and that recognition confers resistance to pneumococcal infection [162]; TLR4's role has been dissected in both Gram-positive and Gram-negative pneumonia in mice [163], where in E. coli pneumonia it mediates the inflammatory response but not bacterial elimination [164] — a dissociation that explains why blocking inflammation in pneumonia has been so difficult to turn into therapy. Toll-like receptor 2 contributes to the early inflammatory response in murine pneumococcal pneumonia [165] and drives inflammasome activation downstream [166] [167]. Neutrophil recruitment depends on IL-23-driven IL-17 production in lung defence [168], iron sequestration by lipocalin 2 is required for defence against Klebsiella — and is evaded by bacteria carrying the iroA gene cluster [169] [170] — and prior bacterial colonisation can dampen influenza-mediated lung injury by inducing M2 alveolar macrophages [171]. The recurring theme is that most of what makes pneumonia dangerous is the host response, not the organism.

Pillar 3: progress

Rapid molecular diagnostics coupled to stewardship. Multiplex PCR detects viruses and atypical bacteria faster and more sensitively than culture and serology [61] [62], and the EPIC results show what it reveals: viruses predominate and most adult cases have no identified pathogen at all [55] [56]. The value of a faster answer is realised only if it changes prescribing, which is why diagnostics and stewardship have to advance together [125].

Higher-valency conjugate vaccines, driven by the serotype replacement the earlier ones caused [140] [138] [139], with combined conjugate-plus-polysaccharide schedules in adults [144] [145].

Shorter courses, now supported by randomised evidence in VAP [104] [105] and CAP [108], with the specific and important finding that shorter treatment leaves behind less resistance among recurrences, not more [104].

Host-response biomarkers to decide when to stop rather than what to start [114] [115] [116], with procalcitonin the only one with randomised evidence at scale and its limitations well described [172] [173].

A gap this substrate covers unevenly. COVID-19 arrived in this literature as "pneumonia of unknown aetiology" [174] [175] [176], and the substrate contains the early Wuhan clinical series in quantity [177] [178] [179] [180] [181] [182] [183] alongside molecular diagnosis [184] and co-infection [185]. What it does not contain is the COVID-19 vaccine literature. The task specification lists COVID vaccination alongside pneumococcal and influenza vaccines as prevention; this review cannot ground that claim from this substrate and therefore does not make it. The same applies to lung ultrasound, which the substrate does not cover despite its growing use.

Dig deeper in lmmol

COPD is the commonest chronic lung disease predisposing to pneumonia, and the two intersect at the bedside constantly — bacterial airway load rises during exacerbations [186], and procalcitonin-guided stewardship produced its largest antibiotic reduction in exacerbations of COPD, cutting exposure by 50.4 percent [114]. Tuberculosis is the other great bacterial lung infection and the instructive contrast: a slow granulomatous disease requiring months of multi-drug therapy, against an acute alveolar one treated in days — different organisms, different tempo, same organ, and a chest radiograph that can look deceptively similar. HIV/AIDS transformed pneumonia into an opportunistic problem and generated its own literature on Pneumocystis prophylaxis and when it can safely be stopped after immune reconstitution [187] [188] [189]; HIV also reshaped pneumococcal epidemiology, with the HIV-infected proportion of invasive pneumococcal cases rising from 1.7 to 5.6 percent over five years in US surveillance [137], and the nine-valent conjugate vaccine was tested specifically in children with and without HIV [128]. H5N1 avian influenza is the pandemic-potential version of the viral pneumonia this review describes, and the connection to ordinary practice is direct: influenza is the second most commonly detected pathogen in US adults hospitalised with CAP [55] and influenza vaccination reduces pneumonia admissions [153]. Sepsis is what severe pneumonia becomes — pneumonia is its commonest source, guideline-concordant antibiotic therapy reduced sepsis as an outcome [80], and the procalcitonin literature is shared between the two fields [190] [191]. Asthma shares the atypical-pathogen literature, with Mycoplasma and Chlamydia pneumoniae implicated in both children and adults [192] [193]. On the molecular side, Toll-like receptor 4 and Toll-like receptor 2 are the receptors through which the alveolus detects the organisms in this review [162] [165] [163]. The full collection is at health.

Key papers

  1. W2889562406: Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 (cited 2,076×)
  2. W2102361557: Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study (cited 3,166×)
  3. W2100474411: Validation of a predictive rule for the management of community-acquired pneumonia (cited 395×)
  4. W2320270386: A Prediction Rule to Identify Low-Risk Patients with Community-Acquired Pneumonia (cited 4,688×)
  5. W3139740390: A PREDICTION RULE TO IDENTIFY LOW-RISK PATIENTS WITH COMMUNITY- ACQUIRED PNEUMONIA (cited 429×)
  6. W2063582576: Validation of a pneumonia prognostic index using the MedisGroups comparative hospital database (cited 172×)
  7. W2154098440: A prospective comparison of severity scores for identifying patients with severe community acquired pneumonia: reconsidering what is meant by severe pneumonia (cited 374×)
  8. W2113574610: Severity prediction rules in community acquired pneumonia: a validation study (cited 215×)
  9. W2104661713: Development and Validation of a Clinical Prediction Rule for Severe Community-acquired Pneumonia (cited 339×)
  10. W2005758646: Severe Community-acquired Pneumonia: Epidemiology and Prognostic Factors (cited 620×)
  11. W4244439913: Community-acquired Pneumonia in Adults in British Hospitals in 1982–1983: A Survey of Aetiology, Mortality, Prognostic Factors and Outcome (cited 447×)
  12. W2074792456: Community-Acquired Pneumonia in the Elderly: A Multivariate Analysis of Risk and Prognostic Factors (cited 337×)
  13. W2127911206: Aetiology, outcome and prognostic factors in community-acquired pneumonia requiring hospitalization (cited 223×)
  14. W2035852335: Prognostic Factors of Pneumonia Requiring Admission to the Intensive Care Unit (cited 129×)
  15. W1983362446: Diagnostic and prognostic accuracy of clinical and laboratory parameters in community-acquired pneumonia (cited 409×)
  16. W2133740878: Community acquired pneumonia: aetiology and prognostic index evaluation. (cited 127×)
  17. W2153578671: High Alcohol Intake as a Risk and Prognostic Factor for Community-Acquired Pneumonia (cited 199×)
  18. W2065795297: Do Pulmonary Radiographic Findings at Presentation Predict Mortality in Patients With Community-Acquired Pneumonia? (cited 147×)
  19. W2017263705: Clinical Prediction Rule for Pulmonary Infiltrates (cited 231×)
  20. W2019486920: Comparison of physician judgment and decision aids for ordering chest radiographs for pneumonia in outpatients (cited 73×)
  21. W2031689011: Interobserver Reliability of the Chest Radiograph in Community-Acquired Pneumonia (cited 286×)
  22. W2123644769: Standardized interpretation of paediatric chest radiographs for the diagnosis of pneumonia in epidemiological studies. (cited 650×)
  23. W1484424198: Chest X‐ray Appearances in Pneumonia and Bronchiolitis (cited 73×)
  24. W2147896686: Accuracy of Radiographic Differentiation of Bacterial from Nonbacterial Pneumonia (cited 99×)
  25. W2129716802: Comparative radiographic features of community acquired Legionnaires' disease, pneumococcal pneumonia, mycoplasma pneumonia, and psittacosis. (cited 266×)
  26. W2151220073: Radiographic Findings and Etiologic Diagnosis in Ambulatory Childhood Pneumonias (cited 77×)
  27. W1971826196: Patients admitted to hospital with suspected pneumonia and normal chest radiographs: Epidemiology, microbiology, and outcomes (cited 182×)
  28. W2030416073: High‐Resolution Computed Tomography for the Diagnosis of Community‐Acquired Pneumonia (cited 344×)
  29. W2104706871: The yield of CT of children who have complicated pneumonia and noncontributory chest radiography. (cited 106×)
  30. W2172039031: Pneumonia and ARDS in patients receiving mechanical ventilation: diagnostic accuracy of chest radiography. (cited 147×)
  31. W2069983608: Radiographic Resolution Of Community-Acquired Pneumonia (cited 137×)
  32. W2133979383: Infectious Diseases Society of America/American Thoracic Society Consensus Guidelines on the Management of Community-Acquired Pneumonia in Adults (cited 6,275×)
  33. W2977322360: Diagnosis and Treatment of Adults with Community-acquired Pneumonia. An Official Clinical Practice Guideline of the American Thoracic Society and Infectious Diseases Society of America (cited 3,669×)
  34. W4211194064: Guidelines for the Management of Adults with Hospital-acquired, Ventilator-associated, and Healthcare-associated Pneumonia (cited 5,932×)
  35. W2001280008: CDC/NHSN surveillance definition of health care–associated infection and criteria for specific types of infections in the acute care setting (cited 6,701×)
  36. W1966375310: Incidence of and Risk Factors for Ventilator-Associated Pneumonia in Critically Ill Patients (cited 1,124×)
  37. W2009435300: Incidence and etiology of pneumonia acquired during mechanical ventilation (cited 184×)
  38. W2059315107: Incidence, Risk, and Prognosis Factors of Nosocomial Pneumonia in Mechanically Ventilated Patients (cited 937×)
  39. W2149689328: Epidemiology and Outcomes of Ventilator-Associated Pneumonia in a Large US Database (cited 1,316×)
  40. W2151629261: Nosocomial pneumonia in ventilated patients: A cohort study evaluating attributable mortality and hospital stay (cited 1,199×)
  41. W1999262804: Effect of intensive care unit nosomial pneumonia on duration of stay and mortality (cited 179×)
  42. W1975795664: Ventilator-associated pneumonia: present understanding and ongoing debates (cited 166×)
  43. W60388161: DIAGNOSIS AND DIFFERENTIAL DIAGNOSIS OF VENTILATOR-ASSOCIATED PNEUMONIA (cited 89×)
  44. W2135191756: Epidemiology and Outcomes of Health-care–Associated Pneumonia (cited 954×)
  45. W2121369371: Burden of disease caused by Streptococcus pneumoniae in children younger than 5 years: global estimates (cited 2,447×)
  46. W2808668519: Burden of Streptococcus pneumoniae and Haemophilus influenzae type b disease in children in the era of conjugate vaccines: global, regional, and national estimates for 2000–15 (cited 1,173×)
  47. W2143559680: Mycoplasma pneumoniae and Its Role as a Human Pathogen (cited 1,350×)
  48. W2324373154: A NewChlamydia psittaciStrain, TWAR, Isolated in Acute Respiratory Tract Infections (cited 721×)
  49. W2017409073: Pneumonia Associated with the TWAR Strain of Chlamydia (cited 242×)
  50. W2115512251: Incidence of community-acquired pneumonia and Chlamydia pneumoniae infection: a prospective multicentre study (cited 178×)
  51. W2010662001: Mycoplasma pneumoniae and Chlamydia pneumoniae in pediatric community-acquired pneumonia (cited 343×)
  52. W2100922283: A Worldwide Perspective of Atypical Pathogens in Community-acquired Pneumonia (cited 231×)
  53. W2123797104: Delay in appropriate therapy ofLegionella pneumonia associated with increased mortality (cited 232×)
  54. W2099350059: Emergence of Legionella pneumophila Pneumonia in Patients Receiving Tumor Necrosis Factor-  Antagonists (cited 143×)
  55. W2000714505: Community-Acquired Pneumonia Requiring Hospitalization among U.S. Adults (cited 3,432×)
  56. W4239909494: Community-Acquired Pneumonia Requiring Hospitalization among U.S. Children (cited 1,879×)
  57. W2142828341: Prospective Study of the Usefulness of Sputum Gram Stain in the Initial Approach to Community‐Acquired Pneumonia Requiring Hospitalization (cited 243×)
  58. W2011823569: The influence of the severity of community-acquired pneumonia on the usefulness of blood cultures (cited 199×)
  59. W2138802220: Contribution of a Urinary Antigen Assay (Binax NOW) to the Early Diagnosis of Pneumococcal Pneumonia (cited 210×)
  60. W2152529946: Evaluation of the Immunochromatographic Binax NOW Assay for Detection ofStreptococcus pneumoniaeUrinary Antigen in a Prospective Study of Community‐Acquired Pneumonia in Spain (cited 269×)
  61. W2151082975: Improved Diagnosis of the Etiology of Community-Acquired Pneumonia with Real-Time Polymerase Chain Reaction (cited 340×)
  62. W2062031123: Development of a multiplex real-time quantitative PCR assay to detect Chlamydia pneumoniae, Legionella pneumophila and Mycoplasma pneumoniae in respiratory tract secretions (cited 186×)
  63. W1978767704: Diagnostic Value of Quantitative Cultures of Bronchoalveolar Lavage and Telescoping Plugged Catheters in Mechanically Ventilated Patients with Bacterial Pneumonia (cited 261×)
  64. W2085769132: Diagnostic Tests for Pneumonia in Ventilated Patients: Prospective Evaluation of Diagnostic Accuracy Using Histology as a Diagnostic Gold Standard (cited 336×)
  65. W1990367623: Diagnostic accuracy of protected specimen brush and bronchoalveolar lavage in nosocomial pneumonia: Impact of previous antimicrobial treatments (cited 222×)
  66. W2150604375: Role of Quantitative Cultures of Endotracheal Aspirates in the Diagnosis of Nosocomial Pneumonia (cited 379×)
  67. W2037101403: Diagnostic Efficiency of Endotracheal Aspirates with Quantitative Bacterial Cultures in Intubated Patients with Suspected Pneumonia: Comparison with the Protected Specimen Brush (cited 192×)
  68. W1989058723: The Safety and Diagnostic Accuracy of Minibronchoalveolar Lavage in Patients with Suspected Ventilator-Associated Pneumonia (cited 213×)
  69. W2152538667: Diagnostic accuracy of protected catheter sampling in ventilator-associated bacterial pneumonia (cited 60×)
  70. W2143041376: Bronchoscopic or Blind Sampling Techniques for the Diagnosis of Ventilator-Associated Pneumonia (cited 331×)
  71. W2110564083: Impact of Invasive and Noninvasive Quantitative Culture Sampling on Outcome of Ventilator-Associated Pneumonia: A Pilot Study (cited 350×)
  72. W2114760693: Invasive Diagnostic Testing Is Not Needed Routinely to Manage Suspected Ventilator-Associated Pneumonia (cited 238×)
  73. W2099112172: Quantitative versus qualitative cultures of respiratory secretions for clinical outcomes in patients with ventilator-associated pneumonia (cited 206×)
  74. W2044142824: High serum procalcitonin concentrations in patients with sepsis and infection (cited 2,204×)
  75. W2018407610: Procalcitonin increase after endotoxin injection in normal subjects. (cited 921×)
  76. W2138904389: Serum Procalcitonin and C-Reactive Protein Levels as Markers of Bacterial Infection: A Systematic Review and Meta-analysis (cited 1,803×)
  77. W1993265546: Comparison of procalcitonin and C-reactive protein as markers of sepsis (cited 434×)
  78. W2152955526: Diagnostic Value of Procalcitonin, Interleukin-6, and Interleukin-8 in Critically Ill Patients Admitted with Suspected Sepsis (cited 910×)
  79. W2101854308: Procalcitonin Kinetics as a Prognostic Marker of Ventilator-associated Pneumonia (cited 291×)
  80. W2065383813: Guideline-Concordant Therapy and Reduced Mortality and Length of Stay in Adults With Community-Acquired Pneumonia (cited 204×)
  81. W2071452332: Empiric Antibiotic Therapy and Mortality Among Medicare Pneumonia Inpatients in 10 Western States (cited 187×)
  82. W2146530115: Effectiveness of β lactam antibiotics compared with antibiotics active against atypical pathogens in non-severe community acquired pneumonia: meta-analysis (cited 177×)
  83. W2171299468: Empiric antibiotic coverage of atypical pathogens for community-acquired pneumonia in hospitalized adults (cited 155×)
  84. W2131062756: Addition of a Macrolide to a β‐Lactam–Based Empirical Antibiotic Regimen Is Associated with Lower In‐Hospital Mortality for Patients with Bacteremic Pneumococcal Pneumonia (cited 359×)
  85. W2157747615: Monotherapy May Be Suboptimal for Severe Bacteremic Pneumococcal Pneumonia (cited 395×)
  86. W2014847700: Combination antibiotic therapy with macrolides improves survival in intubated patients with community-acquired pneumonia (cited 260×)
  87. W2171284117: β-Lactam Monotherapy vs β-Lactam–Macrolide Combination Treatment in Moderately Severe Community-Acquired Pneumonia (cited 240×)
  88. W2152733931: Anti-inflammatory effects of macrolides—an underappreciated benefit in the treatment of community-acquired respiratory tract infections and chronic inflammatory pulmonary conditions? (cited 412×)
  89. W2166234471: Resistance to Macrolides and Related Antibiotics in Streptococcus pneumoniae (cited 268×)
  90. W2163423447: Two New Mechanisms of Macrolide Resistance in Clinical Strains of Streptococcus pneumoniae from Eastern Europe and North America (cited 256×)
  91. W2100059020: Failure of Macrolide Antibiotic Treatment in Patients with Bacteremia Due to Erythromycin‐ResistantStreptococcus pneumoniae (cited 329×)
  92. W2108433768: Clinical Practice Guidelines by the Infectious Diseases Society of America for the Treatment of Methicillin-Resistant Staphylococcus aureus Infections in Adults and Children (cited 4,225×)
  93. W2078436638: Acinetobacter baumannii ventilator-associated pneumonia: epidemiological and clinical findings (cited 279×)
  94. W2156075029: The Epidemiology and Control of Acinetobacter baumannii in Health Care Facilities (cited 996×)
  95. W2347102183: Mechanisms of Antimicrobial Resistance in ESKAPE Pathogens (cited 1,672×)
  96. W2038326600: Determinants and impact of multidrug antibiotic resistance in pathogens causing ventilator-associated-pneumonia (cited 115×)
  97. W1966853663: The benefit of appropriate empirical antibiotic treatment in patients with bloodstream infection (cited 687×)
  98. W2071812276: Mortality Due to Ventilator-Associated Pneumonia or Colonization with Pseudomonas or Acinetobacter Species: Assessment by Quantitative Culture of Samples Obtained by a Protected Specimen Brush (cited 199×)
  99. W2018554274: Randomized trial of combination versus monotherapy for the empiric treatment of suspected ventilator-associated pneumonia* (cited 203×)
  100. W1980567277: Optimal management therapy for Pseudomonas aeruginosa ventilator-associated pneumonia: An observational, multicenter study comparing monotherapy with combination antibiotic therapy* (cited 281×)
  101. W1992505948: Efficacy and tolerability of piperacillin/tazobactam versus ceftazidime in association with amikacin for treating nosocomial pneumonia in intensive care patients: a prospective randomized multicenter trial (cited 70×)
  102. W2122582199: Nebulized Ceftazidime and Amikacin in Ventilator-associated Pneumonia Caused by Pseudomonas aeruginosa (cited 212×)
  103. W2062004112: Double-blind study of endotracheal tobramycin in the treatment of gram-negative bacterial pneumonia. The Endotracheal Tobramycin Study Group (cited 97×)
  104. W2100154890: Comparison of 8 vs 15 Days of Antibiotic Therapy for Ventilator-Associated Pneumonia in Adults (cited 1,409×)
  105. W1957333351: Short-course versus prolonged-course antibiotic therapy for hospital-acquired pneumonia in critically ill adults (cited 261×)
  106. W2098422452: Short- vs Long-Duration Antibiotic Regimens for Ventilator-Associated Pneumonia (cited 149×)
  107. W2083368015: Early-Onset Ventilator-Associated Pneumonia in Adults Randomized Clinical Trial: Comparison of 8 versus 15 Days of Antibiotic Treatment (cited 128×)
  108. W2158956796: High‐Dose, Short‐Course Levofloxacin for Community‐Acquired Pneumonia: A New Treatment Paradigm (cited 336×)
  109. W2035262283: Azithromycin: 3-Day Versus 5-Day Course in the Treatment of Respiratory Tract Infections in Children (cited 205×)
  110. W2110521392: Short-course Empiric Antibiotic Therapy for Patients with Pulmonary Infiltrates in the Intensive Care Unit (cited 1,047×)
  111. W2277317772: De-escalation therapy in ventilator-associated pneumonia* (cited 250×)
  112. W36177659: Modification of empiric antibiotic treatment in patients with pneumonia acquired in the intensive care unit (cited 656×)
  113. W2158031792: A Randomized Controlled Trial of an Antibiotic Discontinuation Policy for Clinically Suspected Ventilator-Associated Pneumonia (cited 308×)
  114. W2155788368: Effect of Procalcitonin-Based Guidelines vs Standard Guidelines on Antibiotic Use in Lower Respiratory Tract Infections (cited 962×)
  115. W2033541705: Procalcitonin to initiate or discontinue antibiotics in acute respiratory tract infections (cited 655×)
  116. W2134152422: Procalcitonin to Guide Initiation and Duration of Antibiotic Treatment in Acute Respiratory Infections: An Individual Patient Data Meta-Analysis (cited 280×)
  117. W2804105465: Procalcitonin-Guided Use of Antibiotics for Lower Respiratory Tract Infection (cited 438×)
  118. W2160739269: Use of procalcitonin to reduce patients' exposure to antibiotics in intensive care units (PRORATA trial): a multicentre randomised controlled trial (cited 1,194×)
  119. W2109928541: Procalcitonin to guide duration of antibiotic therapy in intensive care patients: a randomized prospective controlled trial (cited 320×)
  120. W2289242065: Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial (cited 836×)
  121. W1888492503: Use of Procalcitonin to Shorten Antibiotic Treatment Duration in Septic Patients (cited 609×)
  122. W2158000594: Procalcitonin Guidance of Antibiotic Therapy in Community-acquired Pneumonia (cited 886×)
  123. W2105249258: Effect of procalcitonin-guided treatment on antibiotic use and outcome in lower respiratory tract infections: cluster-randomised, single-blinded intervention trial (cited 1,100×)
  124. W2046949207: Time to Clinical Stability in Patients Hospitalized With Community-Acquired Pneumonia (cited 522×)
  125. W1874122563: Antimicrobial resistance: a global multifaceted phenomenon (cited 3,328×)
  126. W2023690749: Efficacy, safety and immunogenicity of heptavalent pneumococcal conjugate vaccine in children (cited 2,302×)
  127. W2059608310: Efficacy of a Pneumococcal Conjugate Vaccine against Acute Otitis Media (cited 1,465×)
  128. W2075357156: A Trial of a 9-Valent Pneumococcal Conjugate Vaccine in Children with and Those without HIV Infection (cited 1,017×)
  129. W2122598469: Efficacy of nine-valent pneumococcal conjugate vaccine against pneumonia and invasive pneumococcal disease in The Gambia: randomised, double-blind, placebo-controlled trial (cited 908×)
  130. W2049386698: Effectiveness of heptavalent pneumococcal conjugate vaccine in children younger than five years of age for prevention of pneumonia (cited 623×)
  131. W3025897641: Effectiveness of seven-valent pneumococcal conjugate vaccine against invasive pneumococcal disease: a matched case-control study (cited 627×)
  132. W2115456658: Decline in pneumonia admissions after routine childhood immunisation with pneumococcal conjugate vaccine in the USA: a time-series analysis (cited 679×)
  133. W1987330843: Effect of Introduction of the Pneumococcal Conjugate Vaccine on Drug-Resistant Streptococcus pneumoniae (cited 884×)
  134. W1990793194: Reduction of pneumococcal nasopharyngeal carriage in early infancy after immunization with tetravalent pneumococcal vaccines conjugated to either tetanus toxoid or diphtheria toxoid (cited 221×)
  135. W2142965789: Immunogenicity and Impact on Nasopharyngeal Carriage of a Nonavalent Pneumococcal Conjugate Vaccine (cited 524×)
  136. W2094590459: Epidemiologic Studies of Streptococcus pneumoniae in Infants: Acquisition, Carriage, and Infection during the First 24 Months of Life (cited 803×)
  137. W2098483219: Changing Epidemiology of Invasive Pneumococcal Disease Among Older Adults in the Era of Pediatric Pneumococcal Conjugate Vaccine (cited 674×)
  138. W2098218091: Incidence of Pneumococcal Disease Due to Non–Pneumococcal Conjugate Vaccine (PCV7) Serotypes in the United States during the Era of Widespread PCV7 Vaccination, 1998–2004 (cited 747×)
  139. W1971935056: Invasive Pneumococcal Disease Caused by Nonvaccine Serotypes Among Alaska Native Children With High Levels of 7-Valent Pneumococcal Conjugate Vaccine Coverage (cited 621×)
  140. W2025200855: Effect of the 13-valent pneumococcal conjugate vaccine on invasive pneumococcal disease in England and Wales 4 years after its introduction: an observational cohort study (cited 600×)
  141. W1963985157: Effect of use of 13-valent pneumococcal conjugate vaccine in children on invasive pneumococcal disease in children and adults in the USA: analysis of multisite, population-based surveillance (cited 737×)
  142. W2149177957: Pneumococcal Polysaccharide Vaccine Efficacy (cited 634×)
  143. W2342228817: The Protective Efficacy of Polyvalent Pneumococcal Polysaccharide Vaccine (cited 1,065×)
  144. W2609514493: Use of 13-Valent Pneumococcal Conjugate Vaccine and 23-Valent Pneumococcal Polysaccharide Vaccine for Adults With Immunocompromising Conditions: Recommendations of the Advisory Committee on Immunization Practices (ACIP) (cited 690×)
  145. W2182945617: Use of 13-Valent Pneumococcal Conjugate Vaccine and 23-Valent Pneumococcal Polysaccharide Vaccine Among Adults Aged ≥65 Years: Updated Recommendations of the Advisory Committee on Immunization Practices. (cited 677×)
  146. W2031120479: Immunogenicity and safety of a 13-valent pneumococcal conjugate vaccine in adults 70 years of age and older previously vaccinated with 23-valent pneumococcal polysaccharide vaccine (cited 189×)
  147. W2114499619: A randomized, double-blind trial to evaluate immunogenicity and safety of 13-valent pneumococcal conjugate vaccine given concomitantly with trivalent influenza vaccine in adults aged ≥65 years (cited 94×)
  148. W4300582216: Pneumococcal conjugate vaccine for childhood immunization--WHO position paper. (cited 550×)
  149. W1988729025: The Efficacy of Influenza Vaccine in Elderly Persons (cited 1,105×)
  150. W2124815472: Influenza Vaccine Effectiveness in Preventing Hospitalization among the Elderly during Influenza Type A and Type B Seasons (cited 118×)
  151. W2124834066: Influenza Vaccine Effectiveness among Elderly Nursing Home Residents: A Cohort Study (cited 130×)
  152. W2128621619: Influence of High‐Risk Medical Conditions on the Effectiveness of Influenza Vaccination among Elderly Members of 3 Large Managed‐Care Organizations (cited 221×)
  153. W2120444921: Reduction in hospital admissions for pneumonia in non-institutionalised elderly people as a result of influenza vaccination: a case-control study in Spain. (cited 75×)
  154. W2066051339: Influenza Vaccination and Risk of Mortality Among Adults Hospitalized With Community-Acquired Pneumonia (cited 72×)
  155. W1902323249: Mortality Reduction with Influenza Vaccine in Patients with Pneumonia Outside “Flu” Season (cited 107×)
  156. W2079496423: Randomized, Controlled Trial of a 13-Valent Pneumococcal Conjugate Vaccine Administered Concomitantly with an Influenza Vaccine in Healthy Adults (cited 74×)
  157. W2791099574: Immunogenicity of simultaneous versus sequential administration of a 23-valent pneumococcal polysaccharide vaccine and a quadrivalent influenza vaccine in older individuals: A randomized, open-label, non-inferiority trial (cited 20×)
  158. W315561072: Immunogenicity and safety of concomitant MF59-adjuvanted influenza vaccine and 23-valent pneumococcal polysaccharide vaccine administration in older adults (cited 36×)
  159. W1985020513: Incremental effectiveness of pneumococcal vaccine on simultaneously administered influenza vaccine in preventing pneumonia and pneumococcal pneumonia among persons aged 65 years or older (cited 162×)
  160. W2166686288: Influenza vaccination for healthcare workers who work with the elderly (cited 178×)
  161. W4250036684: ACOG Committee Opinion No. 732: Influenza Vaccination During Pregnancy (cited 115×)
  162. W2087453197: Recognition of pneumolysin by Toll-like receptor 4 confers resistance to pneumococcal infection (cited 710×)
  163. W2119446930: Role ofToll-Like Receptor 4 in Gram-Positive and Gram-Negative Pneumonia inMice (cited 248×)
  164. W2081414960: TLR-4 pathway mediates the inflammatory response but not bacterial elimination inE. colipneumonia (cited 64×)
  165. W1550704138: Toll-Like Receptor 2 Plays a Role in the Early Inflammatory Response to Murine Pneumococcal Pneumonia but Does Not Contribute to Antibacterial Defense (cited 268×)
  166. W2034679941: TLR2/MyD88/NF-κB Pathway, Reactive Oxygen Species, Potassium Efflux Activates NLRP3/ASC Inflammasome during Respiratory Syncytial Virus Infection (cited 242×)
  167. W1910618583: Activation of NLRP3 Inflammasome in Alveolar Macrophages Contributes to Mechanical Stretch-Induced Lung Inflammation and Injury (cited 260×)
  168. W2130959939: IL-23-dependent IL-17 production is essential in neutrophil recruitment and activity in mouse lung defense against respiratory Mycoplasma pneumoniae infection (cited 297×)
  169. W2136279532: Lipocalin 2 Is Required for Pulmonary Host Defense against Klebsiella Infection (cited 222×)
  170. W2041755598: The pathogen-associated iroA gene cluster mediates bacterial evasion of lipocalin 2 (cited 318×)
  171. W2031784540: Bacterial colonization dampens influenza-mediated acute lung injury via induction of M2 alveolar macrophages (cited 251×)
  172. W2032468128: Procalcitonin assay in systemic inflammation, infection, and sepsis: Clinical utility and limitations (cited 598×)
  173. W1970962136: Procalcitonin for diagnosis of infection and guide to antibiotic decisions: past, present and future (cited 530×)
  174. W2999318660: Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle (cited 3,691×)
  175. W3001897055: A Novel Coronavirus from Patients with Pneumonia in China, 2019 (cited 30,491×)
  176. W3004280078: A pneumonia outbreak associated with a new coronavirus of probable bat origin (cited 23,429×)
  177. W3002108456: Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study (cited 22,757×)
  178. W3005079553: Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China (cited 21,248×)
  179. W3008090866: Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study (cited 10,718×)
  180. W3011610993: Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China (cited 8,770×)
  181. W3003668884: Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia (cited 18,000×)
  182. W3002539152: A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster (cited 9,633×)
  183. W3008461878: Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia (cited 5,895×)
  184. W3003637715: Molecular Diagnosis of a Novel Coronavirus (2019-nCoV) Causing an Outbreak of Pneumonia (cited 1,410×)
  185. W3026446975: Co-infections among patients with COVID-19: The need for combination therapy with non-anti-SARS-CoV-2 agents? (cited 511×)
  186. W2106913223: Expression of a tumor necrosis factor-alpha transgene in murine lung causes lymphocytic and fibrosing alveolitis. A mouse model of progressive pulmonary fibrosis. (cited 367×)
  187. W2110799375: Discontinuation of Pneumocystis carinii pneumonia prophylaxis after start of highly active antiretroviral therapy in HIV-1 infection (cited 223×)
  188. W2337061131: A Randomized Trial of the Discontinuation of Primary and Secondary Prophylaxis againstPneumocystis cariniiPneumonia after Highly Active Antiretroviral Therapy in Patients with HIV Infection (cited 205×)
  189. W2098793037: Is It Safe to Discontinue PrimaryPneumocystis jiroveciPneumonia Prophylaxis in Patients with Virologically Suppressed HIV Infection and a CD4 Cell Count <200 Cells/μL? (cited 101×)
  190. W2102187963: Procalcitonin as a diagnostic marker for sepsis: a systematic review and meta-analysis (cited 1,200×)
  191. W2166822894: Accuracy of procalcitonin for sepsis diagnosis in critically ill patients: systematic review and meta-analysis (cited 859×)
  192. W2125710315: Mycoplasma pneumoniae and Chlamydia pneumoniae in Asthma (cited 336×)
  193. W2116762122: Mycoplasma pneumoniae and Asthma in Children (cited 240×)