Mortality In Community-acquired Pneumonia Research Articles

Long Term Mortality in Community-Acquired Pneumonia: Incidence In Special Populations

Introduction Community-acquired pneumonia (CAP) has increased recognition for long-term mortality after acute infection. In this study, we reviewed our prior work with the objective to define the incidence in long-term mortality in special populations of patients hospitalized with CAP. Methods This study was a secondary analysis of two study databases for patients hospitalized in Louisville, KY. Long-term mortality was defined as all-cause mortality within one year of hospitalization, and was evaluated for the following groups: adults hospitalized without CAP, adults hospitalized with CAP, adults hospitalized with CAP for special populations. Long term mortality was also evaluated at the census tract level and geospatial epidemiology was performed to identify areas of risk within Louisville. Results Long-term mortality for adults hospitalized without CAP was 19.5%. For adults hospitalized with CAP, long-term mortality was 29.8% to 31.7%, depending on study database. For special populations, patients with CAP needing ICU care, patients with CAP experiencing cardiovascular events during hospitalization, and immunocompromised patients with CAP had the highest long term mortality, at 46.6%, 48.6%, and 53.6%, respectively. Geospatial epidemiology found no areas at increased risk for long term mortality. Conclusions Patients hospitalized with CAP have higher long-term mortality than patients hospitalized due to other reasons. Long-term mortality concentrates in special populations of hospitalized patients with CAP. These populations should take priority in future research studies evaluating pathogenesis and prevention strategies.

Early machine learning prediction of hospitalized patients at low risk of respiratory deterioration or mortality in community-acquired pneumonia: Derivation and validation of a multivariable model.

Current prognostic tools for pneumonia predominantly focus on mortality, often neglecting other crucial outcomes such as the need for advanced respiratory support. The objective of this study was to develop and validate a tool that predicts the early risk of non-occurrence of respiratory deterioration or mortality. We conducted a single-center, retrospective cohort study involving hospitalized adult patients with community-acquired pneumonia (CAP) and acute hypoxic respiratory failure from January 2009 to December 2019 (n = 4379). We employed the gradient boosting machine (GBM) learning to create a model that estimates the likelihood of patients requiring advanced respiratory support (high flow nasal cannula [HFNC], non-invasive mechanical ventilation [NIMV], and invasive mechanical ventilation [IMV]) or facing mortality during hospitalization. This model utilized readily available data including demographic, physiologic, and laboratory data, sourced from electronic health records and obtained within the first six hours of admission. Out of the cohort, 890 patients (25.2%) either required advanced respiratory support or died during their hospital stay. Our predictive model displayed superior discrimination and higher sensitivity (cross-validation C-statistic = 0.71; specificity = 0.56; sensitivity = 0.72) compared to the pneumonia severity index (PSI) (C-statistic = 0.65; specificity = 0.91; sensitivity = 0.24; P value < 0.001), while maintaining a negative predictive value (NPV) of approximately 0.85. These data demonstrate that our machine learning model predicted the non-occurrence of respiratory deterioration or mortality among hospitalized CAP patients more accurately than the PSI. The enhanced sensitivity of this model holds potential for reliably excluding low-risk patients from pneumonia clinical trials.

2579. Pneumonia Severity Index and CURB-65 scoring for the evaluation of community associated pneumonia in patients with cancer at a major cancer center

Abstract Background Cancer patients with pneumonia (PNA) have 2 to 21 times higher mortality rate compared to the general population. The Pneumonia Severity Index (PSI) and CURB-65 scale have been used to predict mortality for patients with community acquired pneumonia (CAP). While these scales are well studied in the general population, there is a paucity of research on the utility of PSI and CURB-65 for predicting outcomes from CAP in patients with cancer. In this study, we assessed the relationship between PSI and CURB-65 score and 30-day mortality of CAP in cancer patients at Memorial Sloan Kettering Cancer Center (MSKCC). Methods A prospective study at MSKCC was conducted between 01/2023 and 06/2023 on patients who presented with clinical symptoms consistent with PNA and had a urine streptococcus antigen test sent for evaluation. PNA was defined as pulmonary infiltrates on chest X-ray or CT &amp;lt; 48 hours of index event and ≥ 1 clinical symptoms (fever, cough, dyspnea, increased sputum production, hypoxemia). Descriptive statistics were performed to report participant outcomes based on PSI and CURB-65 score and to identify the factors associated with CAP in this population. PSI and CURB-65 scores were derived as described in the literature, based on patient comorbidities (including neoplasia), clinical signs and laboratory values. Higher score is associated with worsening 30-day mortality. Results For 86 participants with who presented with symptoms of PNA and had a urine antigen test sent, 43 (50%) were diagnosed with CAP (Figure 1). The median age was 70 (range: 29-88), 21 (49%) were male, and 16 (37%) had hematologic malignancies (Table 1). Etiologies of CAP were identified in 8 patients (bacteria in 4 patients, virus in 3 patients, fungus in 1 patient). Of the 28 patients with 30-day outcome data available, 5 (18%) died within 30 days of CAP diagnosis. All 5 deceased participants were categorized as PSI Class IV or V (moderate to high risk); however, these participants only scored 0-2 (low to moderate risk) on the CURB-65 scale (Table 2). Conclusion We observed a 30-day overall mortality (n=28) of 18%. For cancer patients who present with CAP, PSI class provides a better means to assess mortality risk than CURB-65 score. Further study is needed to validate our findings. Disclosures Yeon Joo Lee, MD, MPH, AiCuris: institutional research support for clinical trials|Karius: institutional research support for clinical trials|Merck: Grant/Research Support|Scynexis: institutional research support for clinical trials Susan K. Seo, MD, Merck: Grant/Research Support

The mortality and years of life lost for community-acquired pneumonia before and during COVID-19 pandemic in China

Community-acquired pneumonia (CAP) is a leading cause of mortality worldwide, but disease burden of CAP is not clear so far. We aim to explore the spatial and temporal trends of mortality and years of life lost (YLL) due to CAP during 2013-2021 in mainland China, especially the mortality changes before and during COVID-19 pandemic due to COVID-19 related non-pharmaceutical interventions (NPIs). We used data from the National Mortality Surveillance System to estimate the age-standardized rates of death and YLL of CAP at national and provincial level in China during 2013-2021. Monthly and provincial NPIs data were obtained from Oxford COVID-19 Government Response Tracker. The Average annual percentage change (AAPC) and mortality reduction were estimated by log-linear regression and interrupted time series, respectively. In China, most CAP that caused deaths had no clear etiology, and bacterial pneumonia and viral pneumonia were the leading 2 causes among CAP deaths with determined etiology before and during COVID-19 pandemic. The age-standardized CAP mortality rate decreased from 11.18 per 100,000 in 2013 to 8.76 per 100,000 in 2019, and to 5.74 per 100,000 in 2021 (AAPC-4.51% vs-7.89%). Trends were similar in age-standardized rate of YLL. Both rates declined more for viral pneumonia, compared with bacterial pneumonia. After adjusting for NPIs at provincial level after 2020, the NPIs for COVID-19 was associated with significant reductions in CAP mortality (-0.34 per 100,000,-0.41 to-0.27; p<0.0001), and provinces that economically developed and conducted strict regular NPIs against COVID-19 contributed the most reduction. We observed a decreasing trend of age-standardized CAP mortality from 2013 to 2019, and a dramatical reduction during COVID-19 pandemic, especially for viral pneumonia. Our study provided the evidence for the effectiveness of regular NPIs on the significant reductions in CAP mortality. This work has been supported by Beijing Municipal Science and Technology Project Z191100006619101, Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (CIFMS 2021-I2M-1-048), CAMS Institute of Respiratory Medicine Grant for Young Scholars (2023-ZF-8) and the New Cornerstone Science Foundation.

A nomogram based on the expression level of angiopoietin-like 4 to predict the severity of community-acquired pneumonia

BackgroundThe morbidity and mortality of community-acquired pneumonia (CAP) remain high among infectious diseases. It was reported that angiopoietin-like 4 (ANGPTL4) could be a diagnostic biomarker and a therapeutic target for pneumonia. This study aimed to develop a more objective, specific, accurate, and individualized scoring system to predict the severity of CAP.MethodsTotally, 31 non-severe community-acquired pneumonia (nsCAP) patients and 14 severe community-acquired pneumonia (sCAP) patients were enrolled in this study. The CURB-65 and pneumonia severity index (PSI) scores were calculated from the clinical data. Serum ANGPTL4 level was measured by enzyme-linked immunosorbent assay (ELISA). After screening factors by univariate analysis and receiver operating characteristic (ROC) curve analysis, multivariate logistic regression analysis of ANGPTL4 expression level and other risk factors was performed, and a nomogram was developed to predict the severity of CAP. This nomogram was further internally validated by bootstrap resampling with 1000 replications through the area under the ROC curve (AUC), the calibration curve, and the decision curve analysis (DCA). Finally, the prediction performance of the new nomogram model, CURB-65 score, and PSI score was compared by AUC, net reclassification index (NRI), and integrated discrimination improvement (IDI).ResultsA nomogram for predicting the severity of CAP was developed using three factors (C-reactive protein (CRP), procalcitonin (PCT), and ANGPTL4). According to the internal validation, the nomogram showed a great discrimination capability with an AUC of 0.910. The Hosmer–Lemeshow test and the approximately fitting calibration curve suggested a satisfactory accuracy of prediction. The results of DCA exhibited a great net benefit. The AUC values of CURB-65 score, PSI score, and the new prediction model were 0.857, 0.912, and 0.940, respectively. NRI comparing the new model with CURB-65 score was found to be statistically significant (NRI = 0.834, P < 0.05).ConclusionA robust model for predicting the severity of CAP was developed based on the serum ANGPTL4 level. This may provide new insights into accurate assessment of the severity of CAP and its targeted therapy, particularly in the early-stage of the disease.

Impact of the COVID-19 pandemic on non-COVID-19 community-acquired pneumonia: a retrospective cohort study

BackgroundThe COVID-19 pandemic could impact frequency and mortality of non-COVID-19 community-acquired pneumonia (CAP). Changes in frequency, patient mix, treatment and organ dysfunction could cascade together to increase mortality of CAP...

A new scoring system to predict mortality in community-acquired pneumonia: CURB (S)-65.

The first decision to be made in the case of community-acquired pneumonia (CAP) is whether hospitalization of the patient is mandatory. In this study, we aimed to investigate whether the addition of oxygenation parameters to CURB-65 has diagnostic value in predicting mortality in CAP. A total of 903 CAP patients were included in the study. Patients with a CURB-65 score of 0 and 1 were classified as Group 1 and patients with a CURB-65 score of 2 or more were classified as Group 2. The prediction of mortality through Pneumonia Severity Index (PSI), CURB-65 and CURBS-65/CURBP-65 with the addition of SaO2 and PaO2 values; hence the four different models, was compared among all patient groups. As a result, 3.3% of the cases in Group 1 and 12.7% of the cases in Group 2 died. In both CURB-65 groups, it was noted that the frequency of patients with SaO2 <90% was significantly higher in the dead group than in the alive patient group (p=0.009 and p=0.001, respectively). In the univariate analysis, PaO2<60, and SaO2<90 were significantly associated with mortality. Model 2 (CURBS-65) and Model 3 (CURBP- 65) were examined, SaO2<90 (OR 2.08) was found to have an effect on death. In predicting mortality by the receiver operating characteristics (ROC) analysis, it was understood that the CURBS-65 score had a slightly higher area under the curve (AUC) value than CURB-65. As a result, it has been shown that the use of CURBS-65 scoring instead of CURB-65 clinical scoring may be more useful in predicting mortality.

Association of Interleukin-1 Receptor Antagonist ( IL-1RA ) Gene Polymorphism with Community-Acquired Pneumonia in North Indian Children: A Case-Control Study.

Background Community-acquired pneumonia (CAP) is the leading cause of death in children < 5 years of age. The primary objective of the study was to assess the association of IL-1RA gene polymorphism in children aged 2 to 59 months with CAP and the secondary objective was to assess the association of gene polymorphism with mortality among hospitalized CAP cases. Study Design This case-control study was conducted in a tertiary teaching institute in Northern India. Hospitalized children aged 2 to 59 months with World Health Organization-defined CAP were included as cases after parental consent. Age-matched healthy controls were recruited from the immunization clinic of the hospital. Genotyping was done using polymerase chain reaction to analyze the variable number of tandem repeats of IL-1RA gene polymorphism. Result From October 2019 to October 2021, 330 cases (123, 37.27% female), and 330 controls (151, 45.75% female) were recruited. Genotype A2/A2 of the IL-1RA gene was found to be associated with the increased risk for CAP children with adjusted odds ratio (AOR) of 12.24 (95% confidence interval [CI] 5.21-28.7, p < 0.001). A2 and A4 alleles were also found to be at risk for CAP. A1/A2 genotype was found to be protective for CAP with an AOR of 0.29 (95% CI 0.19-19.0.45). The genotype A2/A2 and A2 allele of IL-1RA gene was associated with child mortality with CAP cases. Conclusion In IL1RA gene, A2/A2 genotype and A2 allele were associated with increased risk of CAP and A1/A2 were found to be protective for CAP. The genotype A2/A2 and A2 was associated with CAP mortality.

Community-Acquired Pneumonia Incidence in Adults Aged 18 Years and Older in Goto City, Japan: A Prospective Population-Based Study

Community-Acquired Pneumonia Incidence in Adults Aged 18 Years and Older in Goto City, Japan: A Prospective Population-Based Study

Evaluating the Correlation of Mortality and Biochemical Parameters in Community-acquired and Hospital-acquired Pneumonia

Objective: The associations of inflammation and immunity of host lead to higher mortality in both community-acquired and hospital-acquired pneumonia patients. Therefore, several inflammatory and immunological biomarkers are essential for diagnosis, prognosis, and survival. Among these inflammatory markers, such as older age, and higher blood urea nitrogen, creatinine, procalcitonin and C-reactive protein, and lower albumin levels have been shown to have strong correlations with worse outcomes and high mortality, especially in community-acquired pneumonia patients. In this study, we investigated the correlation between several biochemical markers, which are mostly involved in inflammation, and mortality in not only community-acquired but also hospital-acquired pneumonia patients. Material and Methods: This was a retrospective study of hospitalized community-acquired and hospital-acquired pneumonia patients in a third degree university hospital. In their initial blood tests (also used for diagnosis), blood urea nitrogen, creatinine, procalcitonin, C-reactive protein and albumin levels, and white blood cell, lymphocyte, neutrophil, platelet and erythrocyte counts, red blood cell distribution width and hemoglobin levels were measured. The outcome variable was mortality at 30 days. Statistical analysis included univariate comparisons of continuous variables between deceased and survivor groups, subject to mortality analysis and logistic regression in both community-acquired and hospital-acquired pneumonia patients. Results: 272 hospitalized community-acquired and 80 hospital-acquired pneumonia patients were included. Patients who died during follow-up had older age and higher levels of procalcitonin, blood urea nitrogen, creatinine, and red blood cell distribution width in community-acquired pneumonia group. Remarkably, logistic regression analysis showed a significant relationship between creatinine and mortality, regardless of age, severity of community-acquired pneumonia and comorbidities. Creatinine is a strong independent prognostic factor, subject to mortality in community-acquired pneumonia group. Conclusions: Older age, higher procalcitonin, blood urea nitrogen, creatinine and red blood cell distribution width levels are significant biomarkers for prediction of higher mortality in hospitalized community-acquired pneumonia patients.

The ratio of neutrophil-to-lymphocyte and platelet-to-lymphocyte and association with mortality in community-acquired pneumonia: a derivation-validation cohort study.

The ratio of neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR) and platelet-to-lymphocyte (PLR) are biomarkers that have shown potential for predicting mortality in several diseases. For patients hospitalized with community-acquired pneumonia (CAP), the prognostic capabilities of these biomarkers are unknown. Investigate whether NLR, MLR or PLR were associated with 90-day mortality in CAP. Further, investigate whether the prediction rule CURB-65 could be improved by adding these biomarkers. A derivation-validation study using a Danish multicentre retrospective cohort as the derivation cohort (N = 831) and a European multicentre prospective cohort as the validation cohort (N = 2463). Associations between biomarkers and mortality were assessed using Cox proportional hazard models with adjustments for sex, CURB-65 and comorbidities. A cut-off value for biomarkers was determined using Youden's J Statistics. The performance of CURB-65 with added biomarkers was evaluated using receiver-operating characteristics. In both cohorts increasing NLR and PLR were associated with 90-day mortality. In the derivation cohort, the hazard ratios for NLR and PLR were 1.016 (95% confidence interval (CI) 1.001-1.032, P = 0.038) and 1.001 (95% CI 1.000-1.001, P = 0.035), respectively. Adding these biomarkers to CURB-65 did not improve its performance. NLR and PLR were associated with 90-day mortality in CAP, but did not improve CURB-65.

Whole-Blood Gene Expression Profiles Associated with Mortality in Community-Acquired Pneumonia

(1) Background: Information regarding gene expression profiles and the prognosis of community-acquired pneumonia (CAP) is scarce. We aimed to examine the differences in the gene expression profiles in peripheral blood at hospital admission between patients with CAP who died during hospitalization and those who survived. (2) Methods: This is a multicenter study of nonimmunosuppressed adult patients who required hospitalization for CAP. Whole blood samples were obtained within 24 h of admission for genome-expression-profile analysis. Gene expression profiling identified both differentially expressed genes and enriched gene sets. (3) Results: A total of 198 samples from adult patients who required hospitalization for CAP were processed, of which 13 were from patients who died. Comparison of gene expression between patients who died and those who survived yielded 49 differentially expressed genes, 36 of which were upregulated and 13 downregulated. Gene set enrichment analysis (GSEA) identified four positively enriched gene sets in survivors, mainly associated with the interferon-alpha response, apoptosis, and sex hormone pathways. Similarly, GSEA identified seven positively enriched gene sets, associated with the oxidative stress, endoplasmic reticulum stress, oxidative phosphorylation, and angiogenesis pathways, in the patients who died. Protein-protein-interaction-network analysis identified FOS, CDC42, SLC26A10, EIF4G2, CCND3, ASXL1, UBE2S, and AURKA as the main gene hubs. (4) Conclusions: We found differences in gene expression profiles at hospital admission between CAP patients who died and those who survived. Our findings may help to identify novel candidate pathways and targets for potential intervention and biomarkers for risk stratification.

257: GEOGRAPHY AND AGE DRIVE RACIAL AND ETHNIC DISPARITIES IN PEDIATRIC PNEUMONIA MORTALITY

Introduction: Racial disparities in adult community acquired pneumonia (CAP) outcomes are described. Disparities in pediatric CAP and potential mechanisms underlying disparities remain unclear. Literature shows that demographics including race, socioeconomic status, education level, and geographic region intersect in their associations with health outcomes. Given disparities in outcomes related to age and geography in sepsis, a related diagnosis, we aimed to determine whether age and geography modified the association between race and mortality in CAP. We hypothesized that Black and Hispanic patients would have higher mortality and that geographic region and age would clarify potential contributing mechanisms. Methods: This is a retrospective cohort study of children age < 18 years with a diagnosis of CAP admitted between 2016 and 2021 in the Public Health Information System (n=44 children’s hospitals). We investigated the intersection of race, age, and regional effects by creating a joint exposure variable incorporating 4 racial/ethnic groups (White, Black, Hispanic, and Other), 2 age categories (≤1 and >1 year), and 4 geographic regions (Northeast, South, Midwest, West) into 1 categorical exposure. We performed mixed-effect multivariable logistic regression, clustering by the hospital as a random effect. We used the joint exposure variable to quantify the relationship between race, age, and geographic region with mortality for CAP. Joint exposure modeling shows the combined effect of multiple exposures as a single variable with an outcome. Mixed effect analyses adjusted for rurality, income, sex, insurance type, and complex chronic conditions. Results: Among 783,744 patients (median age 4 years, IQR 1-9; 46% female) with CAP, the overall mortality rate was 0.9%. Joint analysis revealed region and age ≤1 year conferring increased mortality risk. Black patients ≤1 year in the South (aOR 2.35, 95% CI 1.52-3.63, p< 0.001) and West (aOR 2.47, 95% CI 1.35-4.49, p=0.003) and Hispanic patients ≤1 year in the Northeast (aOR 2.36, 95% CI 1.46-3.66, p = 0.031) had the highest adjusted mortality odds. Conclusions: We found evidence of racial disparities in mortality for children diagnosed with CAP. Joint associations of age and geographic region may partially explain mechanisms underlying these racial disparities.

A pragmatic randomized controlled trial of standard care versus steroids plus standard care for treatment of pneumonia in adults admitted to Kenyan hospitals (SONIA)

Background: It is unclear if adjunctive steroid therapy reduces mortality in community-acquired pneumonia, as very few studies have had mortality as a primary outcome. This question has become even more relevant following demonstration of a mortality benefit of dexamethasone when used in patients with COVID-19 who had severe disease. This has led to increased prescription of steroids in adults with community acquired pneumonia in low-resource settings even when their COVID-19 diagnosis is uncertain due to low testing rates. This pragmatic parallel randomised-controlled open-label trial will determine if adjunctive low-dose steroids for treatment of adults admitted to hospital with community acquired pneumonia whose SARS-CoV-2 status is either unknown or negative reduces mortality. Methods: We will enroll and randomize 2180 patients admitted with a clinical diagnosis of community acquired pneumonia into two arms; in Stratum A-participants will receive standard care for the treatment of community acquired pneumonia. In Stratum B-participants will receive a 10-day course of low-dose oral corticosteroids in addition to standard care. All participants will be followed up to 30 days post randomization and their final status recorded (alive or dead). An immunology sub study will be conducted on a subset of the trial participants (50 per arm) to determine the correlation of pre-existing and treatment induced immune and metabolic changes with study outcomes. Discussion: Mortality among adults admitted to hospital with community acquired pneumonia in resource-limited settings is high. Steroids are readily available in these settings. If the addition of steroids to standard care for community acquired pneumonia is found to be beneficial, this easily scalable intervention would significantly reduce the currently high mortality associated with the illness.

Exploration of prognostic factors for prediction of mortality in elderly CAP population using a nomogram model.

BackgroundThe incidence and mortality rate of community-acquired pneumonia (CAP) in elderly patients were higher than the younger population. The assessment tools including CURB-65 and qSOFA have been applied in early detection of high-risk patients with CAP. However, several disadvantages exist to limit the efficiency of these tools for accurate assessment in elderly CAP. Therefore, we aimed to explore a more comprehensive tool to predict mortality in elderly CAP population by establishing a nomogram model.MethodsWe retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University. The least absolute shrinkage and selection operator (LASSO) logistic regression combined with multivariate analyses were used to select independent predictive factors and established nomogram models via R software. Calibration plots, decision curve analysis (DCA) and receiver operating characteristic curve (ROC) were generated to assess predictive performance.ResultsLASSO and multiple logistic regression analyses showed the age, pulse, NLR, albumin, BUN, and D-dimer were independent risk predictors. A nomogram model (NB-DAPA model) was established for predicting mortality of CAP in elderly patients. In both training and validation set, the area under the curve (AUC) of the NB-DAPA model showed superiority than CURB-65 and qSOFA. Meanwhile, DCA revealed that the predictive model had significant net benefits for most threshold probabilities.ConclusionOur established NB-DAPA nomogram model is a simple and accurate tool for predicting in-hospital mortality of CAP, adapted for patients aged 65 years and above. The predictive performance of the NB-DAPA model was better than PSI, CURB-65 and qSOFA.

The frequency and seasonal distribution of viral infection in patients with community-acquired pneumonia and its impact on the prognosis.

Studies on the effects of viral coinfection on bacterial pneumonia are still scarce in South Korea. This study investigates the frequency and seasonal distribution of virus infection and its impact on the prognosis in patients with community-acquired pneumonia (CAP). The medical records of CAP patients with definite etiology, such as viruses and bacteria, were retrospectively reviewed. Their epidemiologic and clinical characteristics, microbiologic test results, the severity of illness, and 30-day mortality were analyzed. Among 150 study subjects, 68 patients (45.3%) had viral infection alone, 47 (31.3%) had bacterial infection alone, and 35 (23.3%) had viral-bacterial coinfection, respectively. Among 103 patients with viral infections, Influenza A virus (44%) was the most common virus, followed by rhinovirus (19%), influenza B (13%), and adenovirus (6%). The confusion-urea-respiratory rateblood pressure-age of 65 (CURB-65) score of the viral-bacterial coinfection was higher than that of the viral infection (median [interquartile range]: 2.0 [1.0-4.0] vs. 2.0 [0.3-3.0], P=0.029). The 30-day mortality of the viral infection alone group (2.9%) was significantly lower than that of bacterial infection alone (19.1%) and viral-bacterial coinfection (25.7%) groups (Bonferroni-corrected P<0.05). Viral-bacterial coinfection was the stronger predictor of 30-day mortality in CAP (odds ratio [OR], 18.9; 95% confidence interval [CI], 3.0-118.3; P=0.002) than bacterial infection alone (OR, 6.3; 95% CI, 1.1-36.4; P=0.041), compared to viral infection alone on the multivariate analysis. The etiology of viral infection in CAP is different according to regional characteristics. Viral-bacterial coinfection showed a worse prognosis than bacterial infection alone in patients with CAP.

Association of admission blood glucose level and clinical outcomes in elderly community-acquired pneumonia patients with or without diabetes.

IntroductionCommunity‐acquired pneumonia (CAP) is the major cause of infection‐related mortality worldwide. Patients with CAP frequently present with admission hyperglycemia.ObjectivesThe aim of this study was to evaluate the association between admission blood glucose (ABG) level and clinical outcomes in elderly CAP patients (≥80 years of age) with or without diabetes.MethodsIn this single center retrospective study, 290 elderly patients diagnosed with CAP were included. Demographic and clinical information were collected and compared. The associations between admission blood glucose level and the 30‐day mortality as well as intensive care unit (ICU) admission and invasive mechanical ventilation (IMV) in elderly CAP patients with or without diabetes were assessed.ResultsOf the 290 eligible patients with CAP, 159 (66.5%) patients were male, and 64 (22.1%) had a known history of diabetes at hospital admission. After adjusting for age and sex, the logistic regression analysis had identified several risk factors that might be associated with clinical outcomes in elderly patients with CAP. Multivariable logistic regression analysis revealed that admission glucose level > 11.1 mmol/L was significant associated with ICU admission, IMV, and 30‐day mortality both in non‐diabetic and diabetic patients. Furthermore, Kaplan–Meier analysis indicated that patients with higher admission glucose level were correlated statistically significantly with 30‐day mortality in patients with CAP (P < 0.001).ConclusionAdmission blood glucose is correlated with 30‐day hospital mortality, ICU admission, and IMV of CAP in elderly patients with and without diabetes. Specially, admission glucose > 11.1 mmol/L was a significant risk factor for 30‐day hospital mortality.

Clinical risk factors for admission with Pseudomonas and multidrug-resistant Pseudomonas community-acquired pneumonia

BackgroundMicrobial etiology for community-acquired pneumonia (CAP) is evolving with pathogens known for high CAP mortality e.g., Pseudomonas species. Chronic obstructive pulmonary disease (COPD) patients are at risk for hospitalization for CAP. Understanding regional patterns and risk factors for multidrug-resistant (MDR) Pseudomonas acquisition has implications for antimicrobial stewardship.ObjectivesTo evaluate the regional epidemiology of MDR Pseudomonas CAP and its association with COPD.MethodsWe queried the electronic medical records of the University of Alabama at Birmingham Healthcare System to identify patients hospitalized for CAP with Pseudomonas positive respiratory samples between 01/01/2013–12/31/2019. Log binomial regression models were used to examine associations between COPD diagnosis and risk of Pseudomonas/MDR Pseudomonas CAP.ResultsCohort consisted of 913 culture positive CAP cases aged 59-year (IQR:48–68), 61% (560) male, 60% (547) white, 65% (580) current/past smokers, and 42% (384) COPD. Prevalence of Pseudomonas CAP in culture positive CAP was 18% (167), MDR Pseudomonas CAP in Pseudomonas CAP was 22% (36), and yearly incidence of MDR Pseudomonas CAP was stable (p = 0.169). COPD was associated with Pseudomonas CAP (RR 1.39; 95% CI 1.01, 1.91; p = 0.041) but not with MDR Pseudomonas CAP (0.71; 95% CI 0.35, 1.45; p = 0.349). Stroke (RR 2.64; 95% CI 1.51, 4.61; p = 0.0006) and use of supplemental oxygen (RR 2.31; 95% CI 1.30, 4.12; p = 0.005) were associated with MDR Pseudomonas CAP.ConclusionIncidence of MDR Pseudomonas CAP was stable over time. COPD was associated with Pseudomonas CAP but not with MDR Pseudomonas CAP. Larger cohort studies are needed to confirm findings.

In-hospital hyperglycemia but not diabetes mellitus alone is associated with increased in-hospital mortality in community-acquired pneumonia (CAP): a systematic review and meta-analysis of observational studies prior to COVID-19.

The objective of this review was to quantify the association between diabetes, hyperglycemia, and outcomes in patients hospitalized for community-acquired pneumonia (CAP) prior to the COVID-19 pandemic by conducting a systematic review and meta-analysis. Two investigators independently screened records identified in the PubMed (MEDLINE), EMBASE, CINAHL, and Web of Science databases. Cohort and case–control studies quantitatively evaluating associations between diabetes and in-hospital hyperglycemia with outcomes in adults admitted to hospital with CAP were included. Quality was assessed using the Newcastle-Ottawa Quality Assessment Scale, effect size using random-effects models, and heterogeneity using I2 statistics. Thirty-eight studies met the inclusion criteria. Hyperglycemia was associated with in-hospital mortality (adjusted OR 1.28, 95% CI 1.09 to 1.50) and intensive care unit (ICU) admission (crude OR 1.82, 95% CI 1.17 to 2.84). There was no association between diabetes status and in-hospital mortality (adjusted OR 1.04, 95% CI 0.72 to 1.51), 30-day mortality (adjusted OR 1.13, 95% CI 0.77 to 1.67), or ICU admission (crude OR 1.91, 95% CI 0.74 to 4.95). Diabetes was associated with increased mortality in all studies reporting >90-day postdischarge mortality and with longer length of stay only for studies reporting crude (OR 1.50, 95% CI 1.11 to 2.01) results. In adults hospitalized with CAP, in-hospital hyperglycemia but not diabetes alone is associated with increased in-hospital mortality and ICU admission. Diabetes status is associated with increased >90-day postdischarge mortality. Implications for management are that in-hospital hyperglycemia carries a greater risk for in-hospital morbidity and mortality than diabetes alone in patients admitted with non-COVID-19 CAP. Evaluation of strategies enabling timely and effective management of in-hospital hyperglycemia in CAP is warranted.

Community-acquired pneumonia and its predictors of mortality in rural southwestern Nigeria: A-five year retrospective observational study.

The predictors of community-acquired pneumonia (CAP) mortality are important outcome measures in epidemiological studies and clinical trials. There is an observed paucity of data regarding the predictors of mortality of CAP in Nigeria. Few studies from the urban centres have been reported in the literature, with none from the rural centres. The objective of this study is to ascertain the clinical presentations, risk factors, and predictors of mortality among patients admitted for CAP in rural Southwestern Nigeria. A retrospective observational study using a data form and a standardised questionnaire reviewed the 176 patients admitted to Southwestern Nigeria hospital between January 2015 and December 2019. The data were analysed using SPSS Version 22.0. The results were presented in descriptive and tabular formats. A total of 176 patients were studied. Their mean age was 53.3±16.8 years. There were more males, 112 (63.6%), than females. The most common clinical presentations were cough, fever and sputum expectoration. The case fatality rate was 9.1% and its predictors were older aged patients [Adjusted Odds Ration (AOR), 4.135: 95% Confidence Interval (CI) (1.389-12.315); p =0.005], hypoxia [AOR, 11.118: 95% CI (2.607-47.405); p<0.001], tobacco smoking [AOR, 3.632: 95% CI (1.459-9.039); p=0.008], chronic obstructive pulmonary disease (COPD) [AOR, 10.111: 95%CI (2.370-43.139); p <0.001], and human immunodeficiency virus (HIV) [AOR, 9.444: 95% CI (4.304-20.725), p<0.001]. The case -fatality rate was 9.1%, and its predictors were older age patients, patients with hypoxia, tobacco smoking, COPD, and HIV. This study strengthens the argument on the higher prevalence of CAP and its mortality in rural Southwestern Nigeria. The findings may provide an impetus for prospective research on these outcomes.