Prognostic factors for mortality due to pneumonia among adults from different age groups in Singapore and mortality predictions based on PSI and CURB-65

Cost-Effectiveness of 20-Valent Pneumococcal Conjugate Vaccine in Adults Aged ≥18 Years in Singapore

OBJECTIVES

The Singapore Ministry of Health recommends vaccination with 23-valent pneumococcal polysaccharide vaccine (PPSV23) in adults aged 18 to 64 years with chronic medical conditions ("at risk"), 13-valent pneumococcal conjugate vaccine (PCV13) followed by PPSV23 (PCV13 → PPSV23) with PPSV23 revaccination in adults aged 18 to 64 years with immunocompromising conditions ("high risk"), and PCV13 → PPSV23 in all adults aged ≥65 years. We conducted a cost-effectiveness analysis of the newly licensed 20-valent PCV (PCV20) versus current recommendations.

METHODS

Risks and costs of invasive pneumococcal disease, all-cause nonbacteremic pneumonia, and the expected impact of vaccination were projected over a lifetime modeling horizon using a probabilistic cohort model. Model inputs were based on local data, as available. Cost per quality-adjusted life year (QALY) gained with PCV20 (vs current recommendations) was assessed overall and among subgroups of the target population from a healthcare system perspective (discounting, 3%/year). Sensitivity analyses were also conducted.

RESULTS

PCV20 was estimated to reduce invasive pneumococcal disease cases by 41, nonbacteremic pneumonia cases by 4335, and deaths by 196 among the model population (N = 1.6M). Net costs (vaccination + medical) and QALYs increased by S$0.3 million and 2693, respectively, yielding a cost/QALY of S$105 for PCV20. PCV20 was dominant among high-risk adults aged 18 to 64 years and all adults 65 to 99 years; among at-risk adults aged 18 to 64 years, cost/QALY for PCV20 was S$2081. PCV20 remained cost saving or highly cost-effective in sensitivity analyses.

CONCLUSIONS

Cost-effectiveness analysis suggests use of PCV20-in lieu of current Singapore Ministry of Health recommendations for adult pneumococcal vaccination-would represent a cost-effective use of scarce healthcare resources.

BDNF is a prognostic biomarker involved in the immune infiltration of lung adenocarcinoma and associated with programmed cell death

It is well established that genes associated with cell death can serve as prognostic markers for patients with cancer. Programmed cell death (PCD) is known to play a role in cancer cell apoptosis and antitumor immunity. With the continuous discovery of new forms of PCD, the roles of PCD in lung adenocarcinoma (LUAD) require ongoing evaluation. In the present study, mRNA expression data and clinical information associated with 15 forms of PCD were extracted from publicly available databases and systematically analyzed. Utilizing these data, a robust risk prediction model was established that incorporates six PCD-related genes (PRGs). Datasets from the Gene Expression Omnibus database were employed to validate the six genes exhibiting risk-associated characteristics. The PRG-based model reliably predicted the prognosis of patients with LUAD, with the high-risk group showing a poor prognosis, reduced levels of immune infiltration molecules and diminished expression of human leukocyte antigens. Additionally, the relationships among PRGs, somatic mutations, tumor stemness index and immune infiltration were assessed. Based on these risk characteristics, a nomogram was constructed, patient stratification was performed, small-molecule drug candidates were predicted, and somatic mutations and chemotherapy responses were analyzed. Furthermore, reverse transcription-quantitative PCR was used to assess the expression of PDGs in vitro, and the critical role of brain-derived neurotrophic factor in LUAD development was identified through Mendelian randomization, gene knockdown, wound healing, western blot and colony formation assays. These findings offer new insights into the development of targeted therapies for LUAD, particularly in patients with high BDNF expression.

National trends in pneumonia-related mortality in the United States, 1999-2019

INTRODUCTION

Pneumonia is one of the most common causes of hospital admissions in the United States and remains a major cause of death. However, less is known regarding the mortality burden from pneumonia in the United States and how this burden has changed over time.

METHODS

Death rates from causes related to pneumonia were determined using the CDC Wide-ranging Online Data for Epidemiologic Research (WONDER) data from 1999-2019. Pneumonia deaths were calculated for the overall population as well as for sociodemographic subgroups. We also analysed changes in death rates over time.

RESULTS

Overall, 2.1% of total US deaths during the period between 1999 and 2019 were due to pneumonia (2.6% in 1999 and 1.5% in 2019). Mortality declined over time for both men and women, and across most age cohorts, as well as all racial, urbanisation, and regional categories. Rates of pneumonia deaths were higher among males as compared to females (age-adjusted mortality rate ratio (AAMRR) = 1.35; 95% CI: 1.34-1.35). Compared to White Americans, Black Americans had the highest pneumonia-related mortality rates of any racial group (AAMRR = 1.11; 95% CI: 1.10-1.11).

CONCLUSIONS

Rates of pneumonia-related death have decreased in the United States in recent decades. However, significant racial and gender disparities remain, indicating the need for more equitable care.

Performance of A-DROP, NEWS2, and REMS in predicting in-hospital mortality and mechanical ventilation in pneumonia patients in the emergency department: a retrospective cohort study

BACKGROUND

Pneumonia is a potentially life-threatening respiratory tract infection. Many Early Warning Scores (EWS) were developed to detect patients with high risk for adverse clinical outcomes, but few have explored the utility of these EWS for pneumonia patients in the Emergency Department (ED) setting. We aimed to compare the prognostic utility of A-DROP, NEWS2, and REMS in predicting in-hospital mortality and the requirement for mechanical ventilation among ED patients with pneumonia.

METHODS

A retrospective study was conducted at the ED of Siriraj Hospital, Thailand. Adult patients diagnosed with non-COVID-19 pneumonia between June 1, 2021, and May 31, 2022, were included. We calculated and analyzed their EWS at ED arrival. The primary outcome was all-cause in-hospital mortality. The secondary outcome was mechanical ventilation.

RESULTS

We enrolled 735 patients; 272 (37%) died at hospital discharge, and 75 (10.2%) required mechanical ventilation. A-DROP had the highest discrimination capacity for in-hospital mortality (AUROC: 0.698, 95% CI 0.659-0.737) compared to NEWS2 (AUROC 0.657; 95%CI 0.617, 0.698) and REMS (AUROC 0.637; 95%CI 0.596, 0.678). A-DROP also had superior performances than NEWS2 and REMS in terms of calibration, overall model performance, and balanced diagnostic accuracy indices at its optimal cut point (A-DROP ≥ 2). No EWS could perform well in predicting mechanical ventilation.

CONCLUSION

A-DROP had the highest prognostic utility for predicting in-hospital mortality in non-COVID-19 pneumonia patients in the ED compared to NEWS2 and REMS.

Comparison of performances between risk scores for predicting mortality at 30 days in patients with community acquired pneumonia

BACKGROUND

Risk scores facilitate the assessment of mortality risk in patients with community-acquired pneumonia (CAP). Despite their utilities, there is a scarcity of evidence comparing the various RS simultaneously. This study aims to evaluate and compare multiple risk scores reported in the literature for predicting 30-day mortality in adult patients with CAP.

METHODS

A retrospective cohort study on patients diagnosed with CAP was conducted across two hospitals in Colombia. The areas under receiver operating characteristic curves (ROC-curves) were calculated for the outcome of survival or death at 30 days using the scores obtained for each of the analyzed questionnaires.

RESULTS

A total of 7454 potentially eligible patients were included, with 4350 in the final analysis, of whom 15.2% (662/4350) died within 30 days. The average age was 65.4 years (SD: 21.31), and 59.5% (2563/4350) were male. Chronic kidney disease was 3.7% (9.2% vs. 5.5%; p < 0.001) (OR: 1.85) higher in subjects who died compared to those who survived. Among the patients who died, 33.2% (220/662) presented septic shock compared to 7.3% (271/3688) of the patients who survived (p < 0.001). The best performances at 30 days were shown by the following scores: PSI, SMART-COP and CURB 65 scores with the areas under ROC-curves of 0.83 (95% CI: 0.8-0.85), 0.75 (95% CI: 0.66-0.83), and 0.73 (95% CI: 0.71-0.76), respectively. The RS with the lowest performance was SIRS with the area under ROC-curve of 0.53 (95% CI: 0.51-0.56).

CONCLUSION

The PSI, SMART-COP and CURB 65, demonstrated the best diagnostic performances for predicting 30-day mortality in patients diagnosed with CAP. The burden of comorbidities and complications associated with CAP was higher in patients who died.

Optimizing patient outcomes in severe pneumonia: the role of multiplex PCR in the treatment of critically ill patients

Herein, we evaluated the optimal timing for implementing the BioFire® FilmArray® Pneumonia Panel (FA-PP) in the medical intensive care unit (MICU). Respiratory samples from 135 MICU-admitted patients with acute respiratory failure and severe pneumonia were examined using FA-PP. The cohort had an average age of 67.1 years, and 69.6% were male. Notably, 38.5% were smokers, and the mean acute physiology and chronic health evaluation-II (APACHE-II) score at initial MICU admission was 30.62, and the mean sequential organ failure assessment score (SOFA) was 11.23, indicating sever illness. Furthermore, 28.9, 52.6, and 43% of patients had a history of malignancy, hypertension, and diabetes mellitus, respectively. Community-acquired pneumonia accounted for 42.2% of cases, whereas hospital-acquired pneumonia accounted for 37%. The average time interval between pneumonia diagnosis and FA-PP implementation was 1.9 days, and the mean MICU length of stay was 19.42 days. The mortality rate was 50.4%. Multivariate logistic regression analysis identified two variables as significant independent predictors of mortality: APACHE-II score (p = 0.033, OR = 1.06, 95% CI 1.00-1.11), history of malignancy (OR = 3.89, 95% CI 1.64-9.26). The Kaplan-Meier survival analysis indicated that early FA-PP testing did not provide a survival benefit. The study suggested that the FA-PP test did not significantly impact the mortality rate of patients with severe pneumonia with acute respiratory failure. However, a history of cancer and a higher APACHE-II score remain important independent risk factors for mortality.

Machine learning-based derivation and validation of three immune phenotypes for risk stratification and prognosis in community-acquired pneumonia: a retrospective cohort study

Background

The clinical presentation of Community-acquired pneumonia (CAP) in hospitalized patients exhibits heterogeneity. Inflammation and immune responses play significant roles in CAP development. However, research on immunophenotypes in CAP patients is limited, with few machine learning (ML) models analyzing immune indicators.

Methods

A retrospective cohort study was conducted at Xinhua Hospital, affiliated with Shanghai Jiaotong University. Patients meeting predefined criteria were included and unsupervised clustering was used to identify phenotypes. Patients with distinct phenotypes were also compared in different outcomes. By machine learning methods, we comprehensively assess the disease severity of CAP patients.

Results

A total of 1156 CAP patients were included in this research. In the training cohort (n=809), we identified three immune phenotypes among patients: Phenotype A (42.0%), Phenotype B (40.2%), and Phenotype C (17.8%), with Phenotype C corresponding to more severe disease. Similar results can be observed in the validation cohort. The optimal prognostic model, SuperPC, achieved the highest average C-index of 0.859. For predicting CAP severity, the random forest model was highly accurate, with C-index of 0.998 and 0.794 in training and validation cohorts, respectively.

Conclusion

CAP patients can be categorized into three distinct immune phenotypes, each with prognostic relevance. Machine learning exhibits potential in predicting mortality and disease severity in CAP patients by leveraging clinical immunological data. Further external validation studies are crucial to confirm applicability.

Feasibility of Short-Term Use of Ivabradine in Critical Ill Patients Who Have Atrial Fibrillation and Tachycardia

Background

Ivabradine is approved for heart rate reduction in patients with stable symptomatic heart failure (HF). The United States Food and Drug Administration and Taiwan Central Health Insurance Agency approved the use of ivabradine for patients with chronic stable HF with sinus rhythm, but it has not yet been approved for patients with acute decompensated HF or with atrial fibrillation (AF).

Objectives

To investigate whether short-term ivabradine use is feasible in critically ill patients with AF and rapid ventricular response (RVR).

Methods

This study retrospectively analyzed 23 patients admitted to an intensive care unit with acute HF and AF-RVR who received ivabradine. All patients initially received a slow IV of amiodarone. Other medications for HF were prescribed according to current HF guidelines. The time taken for ivabradine to reduce HR to 80 beats per minute, referred to as "Time to 80," was measured in each patient.

Results

Overall, 69.6 % (16/23) of the patients had New York Heart Association functional class IV HF. In addition, 60.9% (14/23) of the patients required endotracheal intubation and ventilatory support, with more than half receiving vasopressor treatment to manage hypotension. Five patients died during the study period. The surviving patients had a significantly shorter "Time to 80" compared to those who did not survive (p = 0.037).

Conclusions

Adding ivabradine to standard treatment might be feasible for critically ill patients with AF and tachycardia. The finding that surviving patients had a shorter "Time to 80" duration than those who did not survive may have clinical implications. However, further investigations are needed to assess its clinical utility.

Predictive Value of Lysophosphatidylcholine for Determining the Disease Severity and Prognosis of Elderly Patients with Community-Acquired Pneumonia

Purpose

To investigate the clinical value of serum lysophosphatidylcholine (LPC) as a predictive biomarker for determining disease severity and mortality risk in hospitalized elderly patients with community-acquired pneumonia (CAP).

Methods

This prospective, single-center study enrolled 208 elderly patients, including 67 patients with severe CAP (SCAP) and 141 with non-SCAP between November 1st, 2020, and November 30th, 2021 at the Qingdao Municipal Hospital, Shandong Province, China. The demographic and clinical parameters were recorded for all the included patients. Serum LPC levels were measured on day 1 and 6 after admission using ELISA. Propensity score matching (PSM) was used to balance the baseline variables between SCAP and non-SCAP patient groups. Receiver operative characteristic (ROC) curve analysis was used to compare the predictive performances of LPC and other clinical parameters in discriminating between SCAP and non-SCAP patients and determining the 30-day mortality risk of the hospitalized CAP patients. Univariate and multivariate logistic regression analyses were performed to identify the independent risk factors associated with SCAP. Cox proportional hazard regression analysis was used to determine if serum LPC was an independent risk factor for the 30-day mortality of CAP patients.

Results

The serum LPC levels at admission were significantly higher in the non-SCAP patients than in the SCAP patients (P = 0.011). Serum LPC level <24.36 ng/mL, and PSI score were independent risk factors for the 30-day mortality in the elderly patients with CAP. The risk of 30-day mortality in the elderly CAP patients with low serum LPC levels (< 24.36ng/mL) was >5-fold higher than in the patients with high serum LPC levels (≥ 24.36ng/mL).

Conclusion

Low serum LPC levels were associated with significantly higher disease severity and 30-day mortality in the elderly patients with CAP. Therefore, serum LPC is a promising predictive biomarker for the early identification of elderly CAP patients with poor prognosis.

Improving the clinical recognition, prognosis, and treatment of melioidosis through epidemiology and clinical findings: The Sabah perspective

INTRODUCTION

Melioidosis is a deadly endemic disease in northern Australia and Southeast Asia, including Sabah, Malaysia, which is caused by the bacterium Burkholderia pseudomallei. It contributes to high fatality rates, mainly due to misdiagnosis leading to the wrong treatment being administered to the patients. Local epidemiology and data on clinical features could assist clinicians during diagnosis and treatment. However, these details are still scarce, particularly in Sabah.

METHODS

A retrospective study of 246 culture-confirmed melioidosis cases in Queen Elizabeth Hospital, Sabah, Malaysia was performed between 2016 and 2018. The epidemiological data and clinical and laboratory findings were extracted and analysed.

RESULTS

The annual incidence of culture-confirmed melioidosis cases was estimated to be 4.97 per 100,000 people. The mean age of the patients was 50±15 years. Males and members of the Kadazan-Dusun ethnic group accounted for the majority of the melioidosis cases. The odds ratio analysis indicated that bacteraemic melioidosis in this region was significantly associated with fever (76%), and patients having at least one underlying illness (43%), including diabetes mellitus (32%). Sixty-eight patients (28%) succumbed to melioidosis. Contrary to what is known regarding factors that promote bacteraemic melioidosis, neither patients with fever nor patients with at least one comorbid disease, including diabetes mellitus, were significantly associated with death from melioidosis. There was no statistically significant difference between patients without comorbidities (24, 27%) and those with at least one comorbid disease (26, 25%), including diabetes mellitus (18, 23%). The odds ratios indicate that melioidosis mortality in this region is related to patients showing respiratory organ-associated symptoms (29%), bacteraemia (30%), and septic shock (47%). Burkholderia pseudomallei isolates in this study were highly susceptible to ceftazidime (100%), imipenem (100%), and trimethoprim-sulfamethoxazole (98%).

CONCLUSIONS

Information obtained from this study can be used by clinicians to recognise individuals with the highest risk of acquiring melioidosis, estimate an accurate prognosis, and provide effective treatment for melioidosis patients to reduce death from melioidosis.

Clinical factors associated with in-hospital mortality in elderly versus non-elderly pneumonia patients in the emergency department

BACKGROUND

Pneumonia is a respiratory infection with an increasing incidence with age. However, limited evidence has identified factors associated with its outcome among different age groups, especially in the elderly and in the emergency department (ED) setting. We aimed to identify clinical factors associated with in-hospital mortality in elderly versus non-elderly pneumonia patients in the ED.

METHODS

A retrospective observational study was conducted at the ED of Siriraj Hospital, Thailand. Patients aged at least 18 years old diagnosed with non-COVID pneumonia between June 1, 2021, and May 31, 2022, were included. They were categorized into the elderly (age ≥ 65 years) and non-elderly (age < 65 years) groups. The primary outcome was in-hospital mortality. We employed multivariate logistic regression models to identify independent factors associated with the outcome in each age group.

RESULTS

We enrolled 735 patients, 515 elderly and 222 non-elderly. There was no difference in in-hospital mortality rate between the two groups (39.0% in the elderly and 32.9% in the non-elderly; p = 0.116). In the elderly cohort, independent factors associated with in-hospital mortality were do-not-resuscitate (DNR) status (adjusted odds ratio (aOR) 12.89; 95% confidence interval (CI) 7.19-23.1; p < 0.001), Glasgow Coma Scale (GCS) score (aOR 0.91; 95%CI 0.85-0.96; p = 0.002), hemoglobin level (aOR 0.9; 95%CI 0.82-0.98; p = 0.012) and the type of initial oxygen support (p = 0.05). Among non-elderly patients, independent factors were DNR status (aOR 6.81; 95%CI 3.18-14.59; p < 0.001), GCS score (aOR 0.89; 95%CI 0.8-0.99; p = 0.025), platelet level (aOR 1; 95%CI 1-1; p = 0.038), Charlson Comorbidity Index (CCI) (aOR 1.12; 95%CI 0.99-1.28; p = 0.078), and the type of initial oxygen support p = 0.079).

CONCLUSION

In pneumonia patients presenting to the ED, DNR status, lower GCS score, and more invasive initial oxygen supplementation were independently associated with in-hospital mortality in both elderly and non-elderly groups. However, lower hemoglobin level was only associated with in-hospital mortality in the elderly, while higher CCI and lower platelet count were independent factors only in the non-elderly. These findings emphasize the importance of age-specific considerations for the disease, and these factors are potential prognostic markers that may be used in clinical practice to improve patient outcomes.

Establishment of risk model for elderly CAP at different age stages: a single-center retrospective observational study

Community-acquired pneumonia (CAP) is one of the main reasons of mortality and morbidity in elderly population, causing substantial clinical and economic impacts. However, clinically available score systems have been shown to demonstrate poor prediction of mortality for patients aged over 65. Especially, no existing clinical model can predict morbidity and mortality for CAP patients among different age stages. Here, we aimed to understand the impact of age variable on the establishment of assessment model and explored prognostic factors and new biomarkers in predicting mortality. We retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University. We used univariate and multiple logistic regression analyses to study the prognostic factors of mortality in each age-based subgroup. The prediction accuracy of the prognostic factors was determined by the Receiver Operating Characteristic curves and the area under the curves. Combination models were established using several logistic regressions to save the predicted probabilities. Four factors with independently prognostic significance were shared among all the groups, namely Albumin, BUN, NLR and Pulse, using univariate analysis and multiple logistic regression analysis. Then we built a model with these 4 variables (as ABNP model) to predict the in-hospital mortality in all three groups. The AUC value of the ABNP model were 0.888 (95% CI 0.854-0.917, p < 0.000), 0.912 (95% CI 0.880-0.938, p < 0.000) and 0.872 (95% CI 0.833-0.905, p < 0.000) in group 1, 2 and 3, respectively. We established a predictive model for mortality based on an age variable -specific study of elderly patients with CAP, with higher AUC value than PSI, CURB-65 and qSOFA in predicting mortality in different age groups (66-75/ 76-85/ over 85 years).

Pharmacokinetics of Antibacterial Agents in the Elderly: The Body of Evidence

Infections are important factors contributing to the morbidity and mortality among elderly patients. High rates of consumption of antimicrobial agents by the elderly may result in increased risk of toxic reactions, deteriorating functions of various organs and systems and leading to the prolongation of hospital stay, admission to the intensive care unit, disability, and lethal outcome. Both safety and efficacy of antibiotics are determined by the values of their plasma concentrations, widely affected by physiologic and pathologic age-related changes specific for the elderly population. Drug absorption, distribution, metabolism, and excretion are altered in different extents depending on functional and morphological changes in the cardiovascular system, gastrointestinal tract, liver, and kidneys. Water and fat content, skeletal muscle mass, nutritional status, use of concomitant drugs are other determinants of pharmacokinetics changes observed in the elderly. The choice of a proper dosing regimen is essential to provide effective and safe antibiotic therapy in terms of attainment of certain pharmacodynamic targets. The objective of this review is to perform a structure of evidence on the age-related changes contributing to the alteration of pharmacokinetic parameters in the elderly.

Adenocarcinomas of the Lung and Neurotrophin System: A Review

Neurotrophins (NTs) represent a group of growth factors with pleiotropic activities at the central nervous system level. The prototype of these molecules is represented by the nerve growth factor (NGF), but other factors with similar functions have been identified, including the brain derived-growth factor (BDNF), the neurotrophin 3 (NT-3), and NT-4/5. These growth factors act by binding specific low (p75) and high-affinity tyrosine kinase (TrkA, TrkB, and TrkC) receptors. More recently, these growth factors have shown effects outside the nervous system in different organs, particularly in the lungs. These molecules are involved in the natural development of the lungs, and their homeostasis. However, they are also important in different pathological conditions, including lung cancer. The involvement of neurotrophins in lung cancer has been detailed most for non-small cell lung cancer (NSCLC), in particular adenocarcinoma. This review aimed to extensively analyze the current knowledge of NTs and lung cancer and clarify novel molecular mechanisms for diagnostic and therapeutic purposes. Several clinical trials on humans are ongoing using NT receptor antagonists in different cancer cell types for further therapeutic applications. The pharmacological intervention against NT signaling may be essential to directly counteract cancer cell biology, and also indirectly modulate it in an inhibitory way by affecting neurogenesis and/or angiogenesis with potential impacts on tumor growth and progression.

Chest physiotherapy for pneumonia in adults

BACKGROUND

Despite conflicting evidence, chest physiotherapy has been widely used as an adjunctive treatment for adults with pneumonia. This is an update of a review first published in 2010 and updated in 2013.

OBJECTIVES

To assess the effectiveness and safety of chest physiotherapy for pneumonia in adults.

SEARCH METHODS

We updated our searches in the following databases to May 2022: the Cochrane Central Register of Controlled Trials (CENTRAL) via OvidSP, MEDLINE via OvidSP (from 1966), Embase via embase.com (from 1974), Physiotherapy Evidence Database (PEDro) (from 1929), CINAHL via EBSCO (from 2009), and the Chinese Biomedical Literature Database (CBM) (from 1978).

SELECTION CRITERIA

Randomised controlled trials (RCTs) and quasi-RCTs assessing the efficacy of chest physiotherapy for treating pneumonia in adults.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane.

MAIN RESULTS

We included two new trials in this update (540 participants), for a total of eight RCTs (974 participants). Four RCTs were conducted in the United States, two in Sweden, one in China, and one in the United Kingdom. The studies looked at five types of chest physiotherapy: conventional chest physiotherapy; osteopathic manipulative treatment (OMT, which includes paraspinal inhibition, rib raising, and myofascial release); active cycle of breathing techniques (which includes active breathing control, thoracic expansion exercises, and forced expiration techniques); positive expiratory pressure; and high-frequency chest wall oscillation. We assessed four trials as at unclear risk of bias and four trials as at high risk of bias. Conventional chest physiotherapy (versus no physiotherapy) may have little to no effect on improving mortality, but the certainty of evidence is very low (risk ratio (RR) 1.03, 95% confidence interval (CI) 0.15 to 7.13; 2 trials, 225 participants; I² = 0%). OMT (versus placebo) may have little to no effect on improving mortality, but the certainty of evidence is very low (RR 0.43, 95% CI 0.12 to 1.50; 3 trials, 327 participants; I² = 0%). Similarly, high-frequency chest wall oscillation (versus no physiotherapy) may also have little to no effect on improving mortality, but the certainty of evidence is very low (RR 0.75, 95% CI 0.17 to 3.29; 1 trial, 286 participants). Conventional chest physiotherapy (versus no physiotherapy) may have little to no effect on improving cure rate, but the certainty of evidence is very low (RR 0.93, 95% CI 0.56 to 1.55; 2 trials, 225 participants; I² = 85%). Active cycle of breathing techniques (versus no physiotherapy) may have little to no effect on improving cure rate, but the certainty of evidence is very low (RR 0.60, 95% CI 0.29 to 1.23; 1 trial, 32 participants). OMT (versus placebo) may improve cure rate, but the certainty of evidence is very low (RR 1.59, 95% CI 1.01 to 2.51; 2 trials, 79 participants; I² = 0%). OMT (versus placebo) may have little to no effect on mean duration of hospital stay, but the certainty of evidence is very low (mean difference (MD) -1.08 days, 95% CI -2.39 to 0.23; 3 trials, 333 participants; I² = 50%). Conventional chest physiotherapy (versus no physiotherapy, MD 0.7 days, 95% CI -1.39 to 2.79; 1 trial, 54 participants) and active cycle of breathing techniques (versus no physiotherapy, MD 1.4 days, 95% CI -0.69 to 3.49; 1 trial, 32 participants) may also have little to no effect on duration of hospital stay, but the certainty of evidence is very low. Positive expiratory pressure (versus no physiotherapy) may reduce the mean duration of hospital stay by 1.4 days, but the certainty of evidence is very low (MD -1.4 days, 95% CI -2.77 to -0.03; 1 trial, 98 participants). Positive expiratory pressure (versus no physiotherapy) may reduce the duration of fever by 0.7 days, but the certainty of evidence is very low (MD -0.7 days, 95% CI -1.36 to -0.04; 1 trial, 98 participants). Conventional chest physiotherapy (versus no physiotherapy, MD 0.4 days, 95% CI -1.01 to 1.81; 1 trial, 54 participants) and OMT (versus placebo, MD 0.6 days, 95% CI -1.60 to 2.80; 1 trial, 21 participants) may have little to no effect on duration of fever, but the certainty of evidence is very low. OMT (versus placebo) may have little to no effect on the mean duration of total antibiotic therapy, but the certainty of evidence is very low (MD -1.07 days, 95% CI -2.37 to 0.23; 3 trials, 333 participants; I² = 61%). Active cycle of breathing techniques (versus no physiotherapy) may have little to no effect on duration of total antibiotic therapy, but the certainty of evidence is very low (MD 0.2 days, 95% CI -4.39 to 4.69; 1 trial, 32 participants). High-frequency chest wall oscillation plus fibrobronchoscope alveolar lavage (versus fibrobronchoscope alveolar lavage alone) may reduce the MD of intensive care unit (ICU) stay by 3.8 days (MD -3.8 days, 95% CI -5.00 to -2.60; 1 trial, 286 participants) and the MD of mechanical ventilation by three days (MD -3 days, 95% CI -3.68 to -2.32; 1 trial, 286 participants), but the certainty of evidence is very low. One trial reported transient muscle tenderness emerging after OMT in two participants. In another trial, three serious adverse events led to early withdrawal after OMT. One trial reported no adverse events after positive expiratory pressure treatment. Limitations of this review were the small sample size and unclear or high risk of bias of the included trials.

AUTHORS' CONCLUSIONS

The inclusion of two new trials in this update did not change the main conclusions of the original review. The current evidence is very uncertain about the effect of chest physiotherapy on improving mortality and cure rate in adults with pneumonia. Some physiotherapies may slightly shorten hospital stays, fever duration, and ICU stays, as well as mechanical ventilation. However, all of these findings are based on very low certainty evidence and need to be further validated.

Machine learning-assisted prediction of pneumonia based on non-invasive measures

Background

Pneumonia is an infection of the lungs that is characterized by high morbidity and mortality. The use of machine learning systems to detect respiratory diseases via non-invasive measures such as physical and laboratory parameters is gaining momentum and has been proposed to decrease diagnostic uncertainty associated with bacterial pneumonia. Herein, this study conducted several experiments using eight machine learning models to predict pneumonia based on biomarkers, laboratory parameters, and physical features.

Methods

We perform machine-learning analysis on 535 different patients, each with 45 features. Data normalization to rescale all real-valued features was performed. Since it is a binary problem, we categorized each patient into one class at a time. We designed three experiments to evaluate the models: (1) feature selection techniques to select appropriate features for the models, (2) experiments on the imbalanced original dataset, and (3) experiments on the SMOTE data. We then compared eight machine learning models to evaluate their effectiveness in predicting pneumonia

Results

Biomarkers such as C-reactive protein and procalcitonin demonstrated the most significant discriminating power. Ensemble machine learning models such as RF (accuracy = 92.0%, precision = 91.3%, recall = 96.0%, f1-Score = 93.6%) and XGBoost (accuracy = 90.8%, precision = 92.6%, recall = 92.3%, f1-score = 92.4%) achieved the highest performance accuracy on the original dataset with AUCs of 0.96 and 0.97, respectively. On the SMOTE dataset, RF and XGBoost achieved the highest prediction results with f1-scores of 92.0 and 91.2%, respectively. Also, AUC of 0.97 was achieved for both RF and XGBoost models.

Conclusions

Our models showed that in the diagnosis of pneumonia, individual clinical history, laboratory indicators, and symptoms do not have adequate discriminatory power. We can also conclude that the ensemble ML models performed better in this study.

Change for the Better: Severe Pneumonia at the Emergency Department

This is a single-centre observational study of adult patients with severe pneumonia requiring hospitalization conducted at the emergency department. During the observation period (94 weeks), 398 patients were diagnosed with severe pneumonia and required further treatment at the hospital. The median age of patients was 73 years. About 65% of patients had at least one chronic comorbidity. Almost 30% of patients had cardiovascular disorders, and 13% had diabetes mellitus. The average Emergency Department length of stay was 3.56 days. The average length of hospitalization was 15.8 days. Overall, 94% of patients treated for pneumonia received a beta-lactam antibiotic. The median time from ED admission to the administration of the first dose of antimicrobial agent was less than 6 h. Microbiology test samples were obtained from 48.7% patients. Gram-positive cocci were isolated most commonly (52.9%) from blood samples. Biological material from the lower respiratory tract was collected from 8.3% of patients, and from 47.2% of positive samples, fungi were cultured. The urine samples were obtained from 35.9% patients, and Gram-negative rods (76%) were isolated most commonly. Overall, 16.1% of patients died during the hospitalization. The mean age of patients who died was 79 years. This observational study is the first single-centre study conducted as part of the Polish Emergency Department Research Organization (PEDRO) project. It aims to provide up-to-date information about patients with pneumonia in order to improve medical care and develop local diagnostic and therapeutic recommendations.

Impact of Guideline Adherence on Outcomes in Patients Hospitalized with Community-Acquired Pneumonia (CAP) in Hungary: A Retrospective Observational Study

Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality worldwide. This retrospective observational study evaluated the antibiotic prescription patterns and associations between guideline adherence and outcomes in patients hospitalized with CAP in Hungary. Main outcome measures were adherence to national and international CAP guidelines (agent choice, dose) when using empirical antibiotics, antibiotic exposure, and clinical outcomes. Demographic and clinical characteristics of patients with CAP in the 30-day mortality and 30-day survival groups were compared. Fisher’s exact test and t-test were applied to compare categorical and continuous variables, respectively. Adherence to the national CAP guideline for initial empirical therapies was 30.61% (45/147) for agent choice and 88.89% (40/45) for dose. Average duration of antibiotic therapy for CAP was 7.13 ± 4.37 (mean ± SD) days, while average antibiotic consumption was 11.41 ± 8.59 DDD/patient (range 1−44.5). Adherence to national guideline led to a slightly lower 30-day mortality rate than guideline non-adherence (15.56% vs. 16.67%, p > 0.05). In patients aged ≥ 85 years, 30-day mortality was 3 times higher than in those aged 65−84 years (30.43% vs. 11.11%). A significant difference was found between 30-day non-survivors and 30-day survivors regarding the average CRP values on admission (177.28 ± 118.94 vs. 112.88 ± 93.47 mg/L, respectively, p = 0.006) and CCI score (5.71 ± 1.85 and 4.67 ± 1.83, p = 0.012). We found poor adherence to the national and international CAP guidelines in terms of agent choice. In addition, high CRP values on admission were markedly associated with higher mortality in CAP.

Development and validation of a new scoring system for prognostic prediction of community-acquired pneumonia in older adults

The discriminative power of CURB-65 for mortality in community-acquired pneumonia (CAP) is suspected to decrease with age. However, a useful prognostic prediction model for older patients with CAP has not been established. This study aimed to develop and validate a new scoring system for predicting mortality in older patients with CAP. We recruited two prospective cohorts including patients aged ≥ 65 years and hospitalized with CAP. In the derivation (n = 872) and validation cohorts (n = 1,158), the average age was 82.0 and 80.6 years and the 30-day mortality rate was 7.6% (n = 66) and 7.4% (n = 86), respectively. A new scoring system was developed based on factors associated with 30-day mortality, identified by multivariate analysis in the derivation cohort. This scoring system named CHUBA comprised five variables: confusion, hypoxemia (SpO₂ ≤ 90% or PaO₂ ≤ 60 mmHg), blood urea nitrogen ≥ 30 mg/dL, bedridden state, and serum albumin level ≤ 3.0 g/dL. With regard to 30-day mortality, the area under the receiver operating characteristic curve for CURB-65 and CHUBA was 0.672 (95% confidence interval, 0.607–0.732) and 0.809 (95% confidence interval, 0.751–0.856; P < 0.001), respectively. The effectiveness of CHUBA was statistically confirmed in the external validation cohort. In conclusion, a simpler novel scoring system, CHUBA, was established for predicting mortality in older patients with CAP.

A literature review of severity scores for adults with influenza or community-acquired pneumonia - implications for influenza vaccines and therapeutics

Influenza vaccination and antiviral therapeutics may attenuate disease, decreasing severity of illness in vaccinated and treated persons. Standardized assessment tools, definitions of disease severity, and clinical endpoints would support characterizing the attenuating effects of influenza vaccines and antivirals. We review potential clinical parameters and endpoints that may be useful for ordinal scales evaluating attenuating effects of influenza vaccines and antivirals in hospital-based studies. In studies of influenza and community-acquired pneumonia, common physiologic parameters that predicted outcomes such as mortality, ICU admission, complications, and duration of stay included vital signs (hypotension, tachypnea, fever, hypoxia), laboratory results (blood urea nitrogen, platelets, serum sodium), and radiographic findings of infiltrates or effusions. Ordinal scales based on these parameters may be useful endpoints for evaluating attenuating effects of influenza vaccines and therapeutics. Factors such as clinical and policy relevance, reproducibility, and specificity of measurements should be considered when creating a standardized ordinal scale for assessment.

Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population

Background

The incidence and mortality rate of community-acquired pneumonia (CAP) in elderly patients were higher than the younger population. Different scoring systems, including The quick Sequential Organ Function Assessment (qSOFA), Combination of Confusion, Urea, Respiratory Rate, Blood Pressure, and Age ≥65 (CURB-65), Modified Early Warning Score (MEWS) and National Early Warning Score (NEWS), were used widely for predicting mortality and ICU admission of patients with community-acquired pneumonia (CAP). This study aimed to identify the most suitable score system for better hospitalization.

Methods

We retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University from 1 January 2018 to 1 January 2020. We recorded information of the patients including age, gender, underlying disease, consciousness state, vital signs, physiological and laboratory variables and further calculated the qSOFA, CURB-65, MEWS, and NEWS scores. Receiver operating characteristic (ROC) curves were used to predict the mortality risk and ICU admission. Kaplan–Meier survival curves were used in survival rate.

Results

In total, 1044 patients were selected for analysis and divided into two groups, namely survivor groups (902 cases) and non-survivor groups (142 cases). Depending on ICU admission enrolled patients were classified into ICU admission (n = 102) and non-ICU admission (n = 942) groups. Mortality expressed as AUC values were 0.844 (p < 0.001), 0.868 (p < 0.001), 0.927 (p < 0.001) and 0.892 (p < 0.001) for qSOFA, CURB 65, MEWS and NEWS, respectively. There were clear differences in MEWS vs CURB-65 (p < 0.0001), MEWS vs NEWS (p < 0.001), MEWS vs qSOFA (p < 0.0001). For ICU-admission, the AUC values of qSOFA, CURB-65, MEWS and NEWS scores were 0.866 (p < 0.001), 0.854 (p < 0.001), 0.922 (p < 0.001), 0.976 (p < 0.001), respectively. There were significant differences in NEWS vs CURB-65 (p < 0.0001), NEWS vs MEWS (p < 0.001), NEWS vs qSOFA (p < 0.0001).

Conclusion

We explored the outcome prediction values of CURB65, qSOFA, MEWS and NEWS for patients aged 65-years and older with community-acquired pneumonia. We found that MEWS showed superiority over the other severity scores in predicting hospital mortality, and NEWS showed superiority over the other scores in predicting ICU admission.

mNUTRIC tool is capable to predict nutritional needs and mortality early in patients suffering from severe pneumonia

OBJECTIVE

This retrospective observational study aims to evaluate the prognostic accuracy of Modified Nutrition Risk in Critically ill (mNUTRIC) compared to Nutrition Risk Score-2002 (NRS-2002) in patients hospitalized in the intensive care unit due to severe pneumonia during the pandemic period.

METHODS

RT-PCR test and Chest CT was performed in all patients in the emergency department pandemic area. The CURB-65 at the time of admission to the emergency department and Acute Physiology and Chronic Health Evaluation II (APACHE II), Sequential organ failure assessment score (SOFA), NRS-2002 and mNUTRIC scores 24 h after hospitalization in the intensive care unit were calculated. The analysis of the data was made in IBM SPSS Statistics Base 22.0 package program.

RESULTS

One hundred and twenty-five patients found to have severe pneumonia based on the chest CT taken in the emergency department pandemic area and hospitalized in the intensive care unit were included in the study. A real-time reverse transcription PCR (RT-PCR) test was positive in 30.4% (n: 38) of the patients. Additional nutrition treatment was initiated in 54.4% of the patients. In the analytical evaluation to predict nutritional treatment needs, mNUTRIC's AUC value (AUC: 0.681, 95% 0.582-0.780, p < 0.001) was higher than NRS-2002. While 64.8% (n: 81) of the patients were discharged, 35.2% (n: 44) died. In the analytical evaluation to predict mortality, the AUC value of mNUTRIC had the highest value (AUC: 0.875, 95% CI 0.814-0.935, p < 0.001).

CONCLUSION

The mNUTRIC score can predict at an early period the nutritional needs and mortality of patients with severe pneumonia during the Covid-19 pandemic.

Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia

Background

Chest radiograph (CXR) is a basic diagnostic test in community-acquired pneumonia (CAP) with prognostic value. We developed a CXR-based artificial intelligence (AI) model (CAP AI predictive Engine: CAPE) and prospectively evaluated its discrimination for 30-day mortality.

Methods

Deep-learning model using convolutional neural network (CNN) was trained with a retrospective cohort of 2235 CXRs from 1966 unique adult patients admitted for CAP from 1 January 2019 to 31 December 2019. A single-centre prospective cohort between 11 May 2020 and 15 June 2020 was analysed for model performance. CAPE mortality risk score based on CNN analysis of the first CXR performed for CAP was used to determine the area under the receiver operating characteristic curve (AUC) for 30-day mortality.

Results

315 inpatient episodes for CAP occurred, with 30-day mortality of 19.4% (n=61/315). Non-survivors were older than survivors (mean (SD)age, 80.4 (10.3) vs 69.2 (18.7)); more likely to have dementia (n=27/61 vs n=58/254) and malignancies (n=16/61 vs n=18/254); demonstrate higher serum C reactive protein (mean (SD), 109 mg/L (98.6) vs 59.3 mg/L (69.7)) and serum procalcitonin (mean (SD), 11.3 (27.8) μg/L vs 1.4 (5.9) μg/L). The AUC for CAPE mortality risk score for 30-day mortality was 0.79 (95% CI 0.73 to 0.85, p<0.001); Pneumonia Severity Index (PSI) 0.80 (95% CI 0.74 to 0.86, p<0.001); Confusion of new onset, blood Urea nitrogen, Respiratory rate, Blood pressure, 65 (CURB-65) score 0.76 (95% CI 0.70 to 0.81, p<0.001), respectively. CAPE combined with CURB-65 model has an AUC of 0.83 (95% CI 0.77 to 0.88, p<0.001). The best performing model was CAPE incorporated with PSI, with an AUC of 0.84 (95% CI 0.79 to 0.89, p<0.001).

Conclusion

CXR-based CAPE mortality risk score was comparable to traditional pneumonia severity scores and improved its discrimination when combined.

Quantitative assessment of erector spinae muscles and prognosis in elderly patients with pneumonia

Erector spinae muscle (ESM) size has been reported as a predictor of prognosis in patients with some respiratory diseases. This study aimed to assess the association of ESM size on all-cause in-hospital mortality among elderly patients with pneumonia. We retrospectively included patients (age: ≥ 65 years) admitted to hospital from January 2015 to December 2017 for community-acquired pneumonia who underwent chest computed tomography (CT) on admission. The cross-sectional area of the ESM (ESMcsa) was measured on a single-slice CT image at the end of the 12th thoracic vertebra and adjusted by body surface area (BSA). Cox proportional hazards regression models were used to assess the influence of ESMcsa/BSA on in-hospital mortality. Among 736 patients who were admitted for pneumonia, 702 patients (95%) underwent chest CT. Of those, 689 patients (98%) for whom height and weight were measured to calculate BSA were included in this study. Patients in the non-survivor group were significantly older, had a greater frequency of respiratory failure, loss of consciousness, lower body mass index, hemoglobin, albumin, and ESMcsa/BSA. Multivariate analysis showed that a lower ESMcsa/BSA independently predicted in-hospital mortality after adjusting for these variables. In elderly patients with pneumonia, quantification of ESMcsa/BSA may be associated with in-hospital mortality.

Frailty and hospitalization-associated disability after pneumonia: A prospective cohort study

BACKGROUND

Pneumonia is a major cause of morbidity and mortality in older adults. The role of frailty assessment in older adults with pneumonia is not well defined. Our purpose of the study was to investigate 30-day clinical course and functional outcomes of pneumonia in older adults with different levels of frailty.

METHODS

A prospective cohort was conducted at a university hospital in Seoul, Korea with 176 patients who were 65 years or older and hospitalized with pneumonia. A 50-item deficit-accumulation frailty index (FI) (range: 0-1; robust < 0.15, pre-frail 0.15-0.24, mild-to-moderately frail 0.25-0.44, and severely frail ≥ 0.45) and the pneumonia severity CURB-65 score (range: 0-5) were measured. Primary outcome was death or functional decline, defined as worsening dependencies in 21 daily activities and physical tasks in 30 days. Secondary outcomes were intensive care unit admission, psychoactive drug use, nasogastric tube feeding, prolonged hospitalization (length of stay > 15 days), and discharge to a long-term care institution.

RESULTS

The population had a median age 79 (interquartile range, 75-84) years, 68 (38.6 %) female, and 45 (25.5 %) robust, 36 (47.4 %) pre-frail, 37 (21.0 %) mild-to-moderately frail, and 58 (33.0 %) severely frail patients. After adjusting for age, sex, and CURB-65, the risk of primary outcome for increasing frailty categories was 46.7 %, 61.1 %, 83.8 %, and 86.2 %, respectively (p = 0.014). The risk was higher in patients with frailty (FI ≥ 0.25) than without (FI < 0.25) among those with CURB-65 0-2 points (75 % vs. 52 %; p = 0.022) and among those with CURB-65 3-5 points (93 % vs. 65 %; p = 0.007). In addition, patients with greater frailty were more likely to require nasogastric tube feeding (robust vs. severe frailty: 13.9 % vs. 60.3 %) and prolonged hospitalization (18.2 % vs. 50.9 %) and discharge to a long-term care institution (4.4 % vs. 59.3 %) (p < 0.05 for all). Rates of intensive care unit admission and psychoactive drug use were similar.

CONCLUSIONS

Older adults with frailty experience high rates of death or functional decline in 30 days of pneumonia hospitalization, regardless of the pneumonia severity. These results underscore the importance of frailty assessment in the acute care setting.

Frailty and hospitalization-associated disability after pneumonia: A prospective cohort study

Background

Pneumonia is a major cause of morbidity and mortality in older adults. The role of frailty assessment in older adults with pneumonia is not well defined. Our purpose of the study was to investigate 30-day clinical course and functional outcomes of pneumonia in older adults with different levels of frailty.

Methods

A prospective cohort was conducted at a university hospital in Seoul, Korea with 176 patients who were 65 years or older and hospitalized with pneumonia. A 50-item deficit-accumulation frailty index (FI) (range: 0–1; robust < 0.15, pre-frail 0.15–0.24, mild-to-moderately frail 0.25–0.44, and severely frail ≥ 0.45) and the pneumonia severity CURB-65 score (range: 0–5) were measured. Primary outcome was death or functional decline, defined as worsening dependencies in 21 daily activities and physical tasks in 30 days. Secondary outcomes were intensive care unit admission, psychoactive drug use, nasogastric tube feeding, prolonged hospitalization (length of stay > 15 days), and discharge to a long-term care institution.

Results

The population had a median age 79 (interquartile range, 75–84) years, 68 (38.6 %) female, and 45 (25.5 %) robust, 36 (47.4 %) pre-frail, 37 (21.0 %) mild-to-moderately frail, and 58 (33.0 %) severely frail patients. After adjusting for age, sex, and CURB-65, the risk of primary outcome for increasing frailty categories was 46.7 %, 61.1 %, 83.8 %, and 86.2 %, respectively (p = 0.014). The risk was higher in patients with frailty (FI ≥ 0.25) than without (FI < 0.25) among those with CURB-65 0–2 points (75 % vs. 52 %; p = 0.022) and among those with CURB-65 3–5 points (93 % vs. 65 %; p = 0.007). In addition, patients with greater frailty were more likely to require nasogastric tube feeding (robust vs. severe frailty: 13.9 % vs. 60.3 %) and prolonged hospitalization (18.2 % vs. 50.9 %) and discharge to a long-term care institution (4.4 % vs. 59.3 %) (p < 0.05 for all). Rates of intensive care unit admission and psychoactive drug use were similar.

Conclusions

Older adults with frailty experience high rates of death or functional decline in 30 days of pneumonia hospitalization, regardless of the pneumonia severity. These results underscore the importance of frailty assessment in the acute care setting.

Association of α1-Blocker Receipt With 30-Day Mortality and Risk of Intensive Care Unit Admission Among Adults Hospitalized With Influenza or Pneumonia in Denmark

IMPORTANCE

Alpha 1-adrenergic receptor blocking agents (α1-blockers) have been reported to have protective benefits against hyperinflammation and cytokine storm syndrome, conditions that are associated with mortality in patients with coronavirus disease 2019 and other severe respiratory tract infections. However, studies of the association of α1-blockers with outcomes among human participants with respiratory tract infections are scarce.

OBJECTIVE

To examine the association between the receipt of α1-blockers and outcomes among adult patients hospitalized with influenza or pneumonia.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study used data from Danish national registries to identify individuals 40 years and older who were hospitalized with influenza or pneumonia between January 1, 2005, and November 30, 2018, with follow-up through December 31, 2018. In the main analyses, patients currently receiving α1-blockers were compared with those not receiving α1-blockers (defined as patients with no prescription for an α1-blocker filled within 365 days before the index date) and those currently receiving 5α-reductase inhibitors. Propensity scores were used to address confounding factors and to compute weighted risks, absolute risk differences, and risk ratios. Data were analyzed from April 21 to December 21, 2020.

EXPOSURES

Current receipt of α1-blockers compared with nonreceipt of α1-blockers and with current receipt of 5α-reductase inhibitors.

MAIN OUTCOMES AND MEASURES

Death within 30 days of hospital admission and risk of intensive care unit (ICU) admission.

RESULTS

A total of 528 467 adult patients (median age, 75.0 years; interquartile range, 64.4-83.6 years; 273 005 men [51.7%]) were hospitalized with influenza or pneumonia in Denmark between 2005 and 2018. Of those, 21 772 patients (4.1%) were currently receiving α1-blockers compared with a population of 22 117 patients not receiving α1-blockers who were weighted to the propensity score distribution of those receiving α1-blockers. In the propensity score-weighted analyses, patients receiving α1-blockers had lower 30-day mortality (15.9%) compared with patients not receiving α1-blockers (18.5%), with a corresponding risk difference of -2.7% (95% CI, -3.2% to -2.2%) and a risk ratio (RR) of 0.85 (95% CI, 0.83-0.88). The risk of ICU admission was 7.3% among patients receiving α1-blockers and 7.7% among those not receiving α1-blockers (risk difference, -0.4% [95% CI, -0.8% to 0%]; RR, 0.95 [95% CI, 0.90-1.00]). A comparison between 18 280 male patients currently receiving α1-blockers and 18 228 propensity score-weighted male patients currently receiving 5α-reductase inhibitors indicated that those receiving α1-blockers had lower 30-day mortality (risk difference, -2.0% [95% CI, -3.4% to -0.6%]; RR, 0.89 [95% CI, 0.82-0.96]) and a similar risk of ICU admission (risk difference, -0.3% [95% CI, -1.4% to 0.7%]; RR, 0.96 [95% CI, 0.83-1.10]).

CONCLUSIONS AND RELEVANCE

This cohort study's findings suggest that the receipt of α1-blockers is associated with protective benefits among adult patients hospitalized with influenza or pneumonia.

Age is not the only risk factor in COVID-19: the role of comorbidities and of long staying in residential care homes

BACKGROUND

The actual SARS-CoV-2 outbreak caused a highly transmissible disease with a tremendous impact on elderly people. So far, few studies focused on very elderly patients (over 80 years old). In this study we examined the clinical presentation and the outcome of the disease in this group of patients, admitted to our Hospital in Rome.

METHODS

This is a single-center, retrospective study performed in the Sant'Andrea University Hospital of Rome. We included patients older than 65 years of age with a diagnosis of COVID-19, from March 2020 to May 2020, divided in two groups according to their age (Elderly: 65-80 years old; Very Elderly > 80 years old). Data extracted from the each patient record included age, sex, comorbidities, symptoms at onset, the Pneumonia Severity Index (PSI), the ratio of the partial pressure of oxygen in arterial blood (PaO2) to the inspired oxygen fraction (FiO2) (P/F) on admission, laboratory tests, radiological findings on computer tomography (CT), length of hospital stay (LOS), mortality rate and the viral shedding. The differences between the two groups were analyzed by the Fisher's exact test or the Wilcoxon signed-rank test for categorical variables and the Mann-Whitney U test for continuous variables. To assess significance among multiple groups of factors, we used the Bonferroni correction. The survival time was estimated by Kaplan-Meier method and Log Rank Test. Univariate and Multivariate logistic regression were performed to estimate associations between age, comorbidities, provenance from long-stay residential care homes (LSRCH) s and clinical outcomes.

RESULTS

We found that Very Elderly patients had an increased mortality rate, also due to the frequent occurrence of multiple comorbidities. Moreover, we found that patients coming from LSRCHs appeared to be highly susceptible and vulnerable to develop severe manifestations of the disease.

CONCLUSION

We demonstrate that there were considerable differences between Elderly and Very Elderly patients in terms of inflammatory activity, severity of disease, adverse clinical outcomes. To establish a correct risk stratification, comorbidities and information about provenience from LSRCHs should be considered.

The Performance of CURB-65 and PSI for Predicting In-Hospital Mortality of Community-Acquired Pneumonia in Patients with Type 2 Diabetes Compared with the Non-Diabetic Population

OBJECTIVE

To compare the performance of CURB-65 and Pneumonia Severity Index (PSI) for predicting in-hospital mortality of community-acquired pneumonia (CAP) between patients with and without type 2 diabetes (T2DM).

METHODS

A retrospective study was conducted on 2365 CAP patients in The First Hospital of Qinhuangdao, China. The primary outcome was in-hospital mortality. The area under curves (AUCs) was used to evaluate the abilities of CRB-65, CURB-65, and PSI class for predicting in-hospital mortality in patients with CAP.

RESULTS

Among CAP patients, 127 patients (5.4%) died, 80 patients were without diabetes, and 47 patients had T2DM. In-hospital mortality increased with the risk stratification defined as CURB-65 and PSI class in both non-diabetes and T2DM patients (P<0.05). The AUCs for predicting in-hospital mortality were 0.728～0.798 in patients without T2DM (CRB-65: 0.728, CURB-65: 0.757 and PSI class: 0.798) and 0.641～0.716 in patients with T2DM (CRB-65: 0.641, CURB-65: 0.677 and PSI class: 0.716)(P<0.001). The AUC of the PSI class was lower in patients with T2DM than in patients without T2DM (P<0.05).

CONCLUSION

CURB-65 and PSI class are correlated with in-hospital mortality of CAP in patients with and without T2DM. Compared with non-diabetes patients, the predictive performance of CURB-65 and PSI class decreased in patients with T2DM. A prediction model for evaluating the CAP severity in the T2DM population should be developed by future studies.

Factors associated with lethality from pneumonia in an acute care for the elderly unit: a retrospective cohort

Introduction: Pneumonia is the leading cause of death due to infection in the world, mainly affecting the older adult population. Objective: To determine the risk factors associated with lethality at 30 days in patients with pneumonia in an acute care for the elderly unit. Materials and methods: We conducted an observational, analytical retrospective cohort study including 114 patients aged 60 years and older hospitalized in an acute care geriatric unit with a diagnosis of pneumonia. The primary outcome was lethality at 30 days. Bivariate and multivariable log-binomial regression analyzes were performed to explore the relationship between independent variables and the primary outcome. Results: The 30-day lethality was 26.3% and the mean age was 84.45 ± 7.37 years; 54.4% of participants were men. In the multivariable analysis, age ≥90 years (Relative Risk, RR=1.62, 95% CI: 1.05-2.68, p=0.04), multilobar commitment (RR=1.92, 95% CI:1.12-3.32, p=0.02), elevated urea nitrogen (≥22.5 the median; RR=3.93, 95% CI:1.67-9.25, p<0.01), and a score of zero in the Lawton index at admission (RR=3.20, 95% CI:1.05-9.78, p=0.04) were independent predictors of 30-day lethality from pneumonia. Conclusion: In older adults hospitalized for pneumonia in an acute care geriatric unit, advanced age, the presence of multilobar commitment, dependency in functional status, and elevated ureic nitrogen levels were the main predictors of short-term lethality risk.

Outcome prediction value of National Early Warning Score in septic patients with community-acquired pneumonia in emergency department: A single-center retrospective cohort study

BACKGROUND

To evaluate the accuracy of National Early Warning Score (NEWS) in predicting clinical outcomes (28-day mortality, intensive care unit [ICU] admission, and mechanical ventilation use) for septic patients with community-acquired pneumonia (CAP) compared with other commonly used severity scores (CURB65, Pneumonia Severity Index [PSI], Sequential Organ Failure Assessment [SOFA], quick SOFA [qSOFA], and Mortality in Emergency Department Sepsis [MEDS]) and admission lactate level.

METHODS

Adult patients diagnosed with CAP admitted between January 2017 and May 2019 with admission SOFA ≥2 from baseline were enrolled. Demographic characteristics were collected. The primary outcome was the 28-day mortality after admission, and the secondary outcome included ICU admission and mechanical ventilation use. Outcome prediction value of parameters above was compared using receiver operating characteristics (ROC) curves. Cox regression analyses were carried out to determine the risk factors for the 28-day mortality. Kaplan-Meier survival curves were plotted and compared using optimal cut-off values of qSOFA and NEWS.

RESULTS

Among the 340 enrolled patients, 90 patients were dead after a 28-day follow-up, 62 patients were admitted to ICU, and 84 patients underwent mechanical ventilation. Among single predictors, NEWS achieved the largest area under the receiver operating characteristic (AUROC) curve in predicting the 28-day mortality (0.861), ICU admission (0.895), and use of mechanical ventilation (0.873). NEWS+lactate, similar to MEDS+lactate, outperformed other combinations of severity score and admission lactate in predicting the 28-day mortality (AUROC 0.866) and ICU admission (AUROC 0.905), while NEWS+lactate did not outperform other combinations in predicting mechanical ventilation (AUROC 0.886). Admission lactate only improved the predicting performance of CURB65 and qSOFA in predicting the 28-day mortality and ICU admission.

CONCLUSIONS

NEWS could be a valuable predictor in septic patients with CAP in emergency departments. Admission lactate did not predict well the outcomes or improve the severity scores. A qSOFA ≥2 and a NEWS ≥9 were strongly associated with the 28-day mortality, ICU admission, and mechanical ventilation of septic patients with CAP in the emergency departments.

Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study

Rationale

Prediction of patients at risk for mortality can help triage patients and assist in resource allocation.

Objectives

Develop and evaluate a machine learning-based algorithm which accurately predicts mortality in COVID-19, pneumonia, and mechanically ventilated patients.

Methods

Retrospective study of 53,001 total ICU patients, including 9166 patients with pneumonia and 25,895 mechanically ventilated patients, performed on the MIMIC dataset. An additional retrospective analysis was performed on a community hospital dataset containing 114 patients positive for SARS-COV-2 by PCR test. The outcome of interest was in-hospital patient mortality.

Results

When trained and tested on the MIMIC dataset, the XGBoost predictor obtained area under the receiver operating characteristic (AUROC) values of 0.82, 0.81, 0.77, and 0.75 for mortality prediction on mechanically ventilated patients at 12-, 24-, 48-, and 72- hour windows, respectively, and AUROCs of 0.87, 0.78, 0.77, and 0.734 for mortality prediction on pneumonia patients at 12-, 24-, 48-, and 72- hour windows, respectively. The predictor outperformed the qSOFA, MEWS and CURB-65 risk scores at all prediction windows. When tested on the community hospital dataset, the predictor obtained AUROCs of 0.91, 0.90, 0.86, and 0.87 for mortality prediction on COVID-19 patients at 12-, 24-, 48-, and 72- hour windows, respectively, outperforming the qSOFA, MEWS and CURB-65 risk scores at all prediction windows.

Conclusions

This machine learning-based algorithm is a useful predictive tool for anticipating patient mortality at clinically useful timepoints, and is capable of accurate mortality prediction for mechanically ventilated patients as well as those diagnosed with pneumonia and COVID-19.

•

Mortality predictions have not previously been evaluated for COVID-19 patients.

•

Machine learning may be a useful predictive tool for anticipating patient mortality.

•

Prediction can be estimated at clinically useful windows up to 72 h in advance.

Community-acquired viral respiratory infections amongst hospitalized inpatients during a COVID-19 outbreak in Singapore: co-infection and clinical outcomes

AIMS

During the ongoing COVID-19 outbreak, co-circulation of other common respiratory viruses can potentially result in co-infections; however, reported rates of co-infections for SARS-CoV-2 vary. We sought to evaluate the prevalence and etiology of all community acquired viral respiratory infections requiring hospitalization during an ongoing COVID-19 outbreak, with a focus on co-infection rates and clinical outcomes.

METHODS

Over a 10-week period, all admissions to our institution, the largest tertiary hospital in Singapore, were screened for respiratory symptoms, and COVID-19 as well as a panel of common respiratory viral pathogens were systematically tested for. Information was collated on clinical outcomes, including requirement for mechanical ventilation and in hospital mortality.

RESULTS

One-fifth (19.3%, 736/3807) of hospitalized inpatients with respiratory symptoms had a PCR-proven viral respiratory infection; of which 58.5% (431/736) tested positive for SARS-CoV-2 and 42.2% (311/736) tested positive for other common respiratory viruses. The rate of co-infection with SARS-CoV-2 was 1.4% (6/431); all patients with co-infection had mild disease and stayed in communal settings. The in-hospital mortality rate and proportion of COVID-19 patients requiring invasive ventilation was low, at around 1% of patients; these rates were lower than patients with other community-acquired respiratory viruses admitted over the same period (p < 0.01).

CONCLUSION

Even amidst an ongoing COVID-19 outbreak, common respiratory viruses still accounted for a substantial proportion of hospitalizations. Coinfections with SARS-CoV-2 were rare, with no observed increase in morbidity or mortality.

Respiratory surveillance wards as a strategy to reduce nosocomial transmission of COVID-19 through early detection: The experience of a tertiary-care hospital in Singapore

OBJECTIVES

Patients with COVID-19 may present with respiratory syndromes indistinguishable from those caused by common viruses. Early isolation and containment is challenging. Although screening all patients with respiratory symptoms for COVID-19 has been recommended, the practicality of such an effort has yet to be assessed.

METHODS

Over a 6-week period during a SARS-CoV-2 outbreak, our institution introduced a "respiratory surveillance ward" (RSW) to segregate all patients with respiratory symptoms in designated areas, where appropriate personal protective equipment (PPE) could be utilized until SARS-CoV-2 testing was done. Patients could be transferred when SARS-CoV-2 tests were negative on 2 consecutive occasions, 24 hours apart.

RESULTS

Over the study period, 1,178 patients were admitted to the RSWs. The mean length-of-stay (LOS) was 1.89 days (SD, 1.23). Among confirmed cases of pneumonia admitted to the RSW, 5 of 310 patients (1.61%) tested positive for SARS-CoV-2. This finding was comparable to the pickup rate from our isolation ward. In total, 126 HCWs were potentially exposed to these cases; however, only 3 (2.38%) required quarantine because most used appropriate PPE. In addition, 13 inpatients overlapped with the index cases during their stay in the RSW; of these 13 exposed inpatients, 1 patient subsequently developed COVID-19 after exposure. No patient-HCW transmission was detected despite intensive surveillance.

CONCLUSIONS

Our institution successfully utilized the strategy of an RSW over a 6-week period to contain a cluster of COVID-19 cases and to prevent patient-HCW transmission. However, this method was resource-intensive in terms of testing and bed capacity.

High Mean Platelet Volume Associates with In-Hospital Mortality in Severe Pneumonia Patients

Background

Although mean platelet volume (MPV) appears to be associated with poor outcome of pneumonia, the relationship between MPV and in-hospital mortality is unclear in severe pneumonia (SP) patients.

Methods

In this retrospective cohort study, 115 SP patients from June 1st, 2016, to September 29th, 2019, were included and divided into two groups. The primary outcome was in-hospital mortality. The receiver operating characteristic (ROC) curve was performed to assess the predictive ability for in-hospital mortality. Kaplan-Meier cumulative incidence curves were applied to observe the incidence of mortality. Multivariable Cox regression analyses were used to evaluate the hazard ratios (HRs). Besides, a formal test for interaction was investigated to analyze the relationship between MPV and sex.

Results

During the course of hospitalization, 63 cases of mortality were recorded. ROC analysis suggested that MPV had a modest power for predicting in-hospital mortality (AUC = 0.723, 95% CI: 0.628-0.818, P < 0.001). Yet the cutoff value of MPV was 10.5 (sensitivity = 73.02%; specificity = 73.08%). Compared to the low-MPV group, the high-MPV group had significantly increased in-hospital mortality (log-rank test = 13.501, P < 0.001), while the adjusted Cox model indicated that the high-MPV group was associated with an elevated risk of in-hospital mortality (HR: 2.267, 95% CI: 1.166-4.406, P = 0.016). Moreover, analyses of in-hospital mortality suggested a significant interaction between optimal MPV level and sex (P = 0.011). In a multivariate Cox model which included females only, a high MPV level was associated with increased risk of in-hospital mortality (HR: 11.387, 95% CI: 1.767-73.380, P = 0.011).

Conclusion

High MPV level is an independent risk factor for in-hospital mortality in patients with SP.

The alveolar-arterial gradient, pneumonia severity scores and inflammatory markers to predict 30-day mortality in pneumonia

OBJECTIVE

The objective of this study was to evaluate the association of elevated alveolar-arterial oxygen (A-a O₂) gradient with risk of mortality in hospitalized patients with community-acquired pneumonia (CAP).

METHODS

This prospective study included 206 patients diagnosed with CAP admitted to the ED. Demographics, comorbidities, arterial blood gas, serum electrolytes, liver-renal functions, complete blood count, NLR, PLR, CRP, CAR, procalcitonin, A-a O₂ gradient, expected A-a O₂ and A-a O₂ difference were evaluated. PSI and CURB-65 scores were classified as follow: a) PSI low risk (I-III) and moderate-high risk (IV-V) groups; b) CURB-65; low risk (0-2) and high risk (3-5) groups.

RESULTS

The survival rates of the PSI class (I-III) were significantly higher than the ones of the PSI class (IV-V) (92.1% vs. 62.9%, respectively). The percentage of survivors of the CURB-65 score (0-2) group (81.9%) was higher than the survivors of CURB-65 score (3-5) group (27.8%). Creatinine, BUN, uric acid, phosphorus, RDW, CRP, CAR, procalcitonin, lactate, A-a 0₂ gradient, expected A-a 0₂ and A-a 0₂ difference were significantly higher and basophil was lower in non-survivors. A-a O₂ gradient (AUC 0.78), A-a O₂ difference (AUC 0.74) and albumin (AUC 0.80) showed highest 30-day mortality prediction. NLR (AUC 0.58) and PLR (AUC 0.55) showed lowest 30-day mortality estimation. Procalcitonin (AUC 0.65), PSI class (AUC 0.81) and PSI score (AUC 0.86) indicated statistically significant higher 30-day mortality prediction.

CONCLUSION

A-a O₂ gradient, A-a O₂ difference and albumin are potent predictors of 30-day mortality in CAP patients in the ED.

The Aging of γδ T Cells

In the coming decades, many developed countries in the world are expecting the "greying" of their populations. This phenomenon poses unprecedented challenges to healthcare systems. Aging is one of the most important risk factors for infections and a myriad of diseases such as cancer, cardiovascular and neurodegenerative diseases. A common denominator that is implicated in these diseases is the immune system. The immune system consists of the innate and adaptive arms that complement each other to provide the host with a holistic defense system. While the diverse interactions between multiple arms of the immune system are necessary for its function, this complexity is amplified in the aging immune system as each immune cell type is affected differently-resulting in a conundrum that is especially difficult to target. Furthermore, certain cell types, such as γδ T cells, do not fit categorically into the arms of innate or adaptive immunity. In this review, we will first introduce the human γδ T cell family and its ligands before discussing parallels in mice. By covering the ontogeny and homeostasis of γδ T cells during their lifespan, we will better capture their evolution and responses to age-related stressors. Finally, we will identify knowledge gaps within these topics that can advance our understanding of the relationship between γδ T cells and aging, as well as age-related diseases such as cancer.

Confusion, respiratory rate, shock index (CRSI-65) score in the emergency department triage may be a new severity scoring method for community-acquired pneumonia

Objectives:

To investigate whether confusion, respiratory rate, shock index-age ≥65 years (CRSI-65) score, consisting of basic physiological parameters, can be used for severity prediction in patients with community-acquired pneumonia.

Methods:

This is a prospective cohort and single-center study conducted in Bolu Abant Izzet Baysal University Hospital, Bolu, Turkey between January 2018 and June 2018. The study investigated CRSI-65 score in predicting 4-week mortality and the need for intensive care for patients with community-acquired pneumonia.

Results:

A total of 58 patients with community-acquired pneumonia admitted to the emergency department were included in this study. Of the patients, 62.1% were males (n=36), and the mean age of the patients was 72.87 ± 12.30 years. After 4 weeks of follow-up, CURB-65 and CRSI-65 scores showed similar results in predicting mortality with respect to specificity, sensitivity, and positive and negative predictive values. Area under the receiver operating characteristic curve was 0.926 for the CURB-65 (95% confidence interval [CI] 0.853-0.999) and 0.954 for the CRSI-65 (95% CI 0.899-0.999).

Conclusion:

Similar to the CURB-65 score, the CRSI-65 score appears to be useful in predicting 4-week mortality. The evaluation of CRSI-65 score can be used in emergency department triage, primary care, and non-hospital settings.

Prognostic Prediction Value of qSOFA, SOFA, and Admission Lactate in Septic Patients with Community-Acquired Pneumonia in Emergency Department

Background

Community-acquired pneumonia (CAP) is a leading cause of sepsis and common presentation to emergency department (ED) with a high mortality rate. The prognostic prediction value of sequential organ failure assessment (SOFA) and quick SOFA (qSOFA) scores in CAP in ED has not been validated in detail. The aim of this research is to investigate the prognostic prediction value of SOFA, qSOFA, and admission lactate compared with that of other commonly used severity scores (CURB65, CRB65, and PSI) in septic patients with CAP in ED.

Methods

Adult septic patients with CAP admitted between Jan. 2017 and Jan. 2019 with increased admission SOFA ≥ 2 from baseline were enrolled. The primary outcome was 28-day mortality. The secondary outcome included intensive care unit (ICU) admission, mechanical ventilation, and vasopressor use. Prognostic prediction performance of the parameters above was compared using receiver operating characteristic (ROC) curves. Kaplan–Meier survival curves were compared using optimal cutoff values of qSOFA and admission lactate.

Results

Among the 336 enrolled septic patients with CAP, 89 patients died and 247 patients survived after 28-day follow-up. The CURB65, CRB65, PSI, SOFA, qSOFA, and admission lactate levels were statistically significantly higher in the death group (P < 0.001). qSOFA and SOFA were superior and the combination of qSOFA + lactate and SOFA + lactate outperformed other combinations of severity score and admission lactate in predicting both primary and secondary outcomes. Patients with admission qSOFA < 2 or lactate ≤ 2 mmol/L showed significantly prolonged survival than those patients with qSOFA ≥ 2 or lactate > 2 mmol/L (log-rank χ² = 59.825, P < 0.001). The prognostic prediction performance of the combination of qSOFA and admission lactate was comparable to the full version of SOFA (AUROC 0.833 vs. 0.795, Z = 1.378, P=0.168 in predicting 28-day mortality; AUROC 0.868 vs. 0.895, Z = 1.022, P=0.307 in predicting ICU admission; AUROC 0.868 vs. 0.845, Z = 0.921, P=0.357 in predicting mechanical ventilation; AUROC 0.875 vs. 0.821, Z = 2.12, P=0.034 in predicting vasopressor use).

Conclusion

qSOFA and SOFA were superior to CURB65, CRB65, and PSI in predicting 28-day mortality, ICU admission, mechanical ventilation, and vasopressor use for septic patients with CAP in ED. Admission qSOFA with lactate is a convenient and useful predictor. Admission qSOFA ≥ 2 or lactate > 2 mmol/L would be very helpful in discriminating high-risk patients with a higher mortality rate.

Community-acquired pneumonia in critically ill very old patients: a growing problem

Very old (aged ≥80 years) adults constitute an increasing proportion of the global population. Currently, this subgroup of patients represents an important percentage of patients admitted to the intensive care unit. Community-acquired pneumonia (CAP) frequently affects very old adults. However, there are no specific recommendations for the management of critically ill very old CAP patients. Multiple morbidities, polypharmacy, immunosenescence and frailty contribute to an increased risk of pneumonia in this population. CAP in critically ill very old patients is associated with higher short- and long-term mortality; however, because of its uncommon presentation, diagnosis can be very difficult. Management of critically ill very old CAP patients should be guided by their baseline characteristics, clinical presentation and risk factors for multidrug-resistant pathogens. Hospitalisation in intermediate care may be a good option for critical ill very old CAP patients who do not require invasive procedures and for whom intensive care is questionable in terms of benefit.

There is currently no international recommendation for the management of critically ill older patients over 80 years of age with CAP. We report and discuss recent literature in order to help physicians in the decision-making process of these patients.http://bit.ly/2ql0mIz

E-selectin as a prognostic factor of patients hospitalized due to acute inflammatory respiratory diseases: a single institutional study

When examining patients with acute inflammatory respiratory diseases, it is difficult to distinguish between infectious pneumonia and interstitial pneumonia and predict patient prognosis at the beginning of treatment. In this study, we assessed whether endothelial selectin (E-selectin) predicts the outcome of patients with acute inflammatory respiratory diseases. We measured E-selectin serum levels in 101 patients who were admitted to our respiratory care unit between January 2013 and December 2013 because of acute inflammatory respiratory diseases that were eventually diagnosed as interstitial pneumonia (n = 38) and lower respiratory tract infection (n = 63). Seven of these patients (n = 101) died. The pneumonia severity score was significantly higher and the oxygen saturation of arterial blood measured by pulse oximeter (SpO₂)/fraction of inspiratory oxygen (FiO₂) was significantly lower in the deceased patients than in the surviving patients. There were significantly fewer peripheral lymphocytes and significantly higher E-selectin serum levels in the deceased patients than in the surviving patients. In the multiple logistic regression analysis, the E-selectin serum levels and SpO₂/FiO₂ ratio were independent predictive factors of prognosis. The risk of death during acute respiratory disease was determined using a receiver operating characteristic (ROC) curve analysis. The area under the curve (AUC) was 0.871 as calculated from the ES, and the cutoff value was 6453.04 pg/ml, with a sensitivity of 1.00 and a specificity of 0.72 (p = 0.0027). E-selectin may be a useful biomarker for predicting the prognosis of patients with acute inflammatory respiratory diseases.

Stratified and prognostic value of admission lactate and severity scores in patients with community-acquired pneumonia in emergency department: A single-center retrospective cohort study

BACKGROUND

Community-acquired pneumonia (CAP) is a potentially life-threatening condition. The aim of this study is to investigate the stratified and prognostic value of admission lactate and severity scores (confusion, urea >7 mmol/L, respiratory rate ≥30/min, blood pressure <90 mm Hg systolic and/or ≤60 mm Hg diastolic, and age ≥65 years [CURB65], pneumonia severity index [PSI], sequential organ failure assessment [SOFA], qSOFA) in patients with CAP in emergency department.

METHODS

Adult patients diagnosed with CAP admitted between January 2017 and January 2019 were enrolled and divided into severe CAP (SCAP) group and nonSCAP (NSCAP) group according to international guidelines, death group, and survival group according to 28-day prognosis. Predicting performance of parameters above was compared using receiver operating characteristic curves and logistic regression model. Cox proportional hazard regression model was used to identify variables independently associated with 28-day mortality.

RESULTS

A total of 350 patients with CAP were enrolled. About 196 patients were classified as SCAP and 74 patients died after a 28-day follow-up. The levels of CURB65, PSI, SOFA, qSOFA, and admission lactate were higher in the SCAP group and death group. SOFA showed advantage in predicting SCAP, while qSOFA is superior in predicting 28-day mortality. The combination of SOFA and admission lactate outperformed other combinations in predicting SCAP, and the combination of qSOFA and lactate showed highest superiority over other combinations in predicting 28-day mortality.

CONCLUSION

The SOFA is a valuable predictor for SCAP and qSOFA is superior in predicting 28-day mortality. Combination of qSOFA and admission lactate can improve the predicting performance of single qSOFA.

Prognostic significance of malnutrition for long-term mortality in community-acquired pneumonia: a propensity score matched analysis

BACKGROUND/AIMS

The impact of malnutrition on the outcome of hospitalized adults with community-acquired pneumonia (CAP) has not been fully investigated. This study evaluated the prevalence and prognostic significance of malnutrition in a Korean population with CAP.

METHODS

In total, 198 patients with CAP from November 2014 to September 2015 were analyzed retrospectively. We assessed the prevalence of malnutrition and the risk factors for 2-year mortality. Furthermore, we divided the patients into two groups: elderly (age ≥ 65 years, n = 131) and non-elderly (age < 65 years, n = 67). Subgroup analyses were performed in the elderly group through propensity score matching.

RESULTS

The prevalence of malnutrition was 39.4%, and the proportion of patients with malnutrition was significantly higher (53.4% vs. 11.9%, p < 0.001) in the elderly group than in the non-elderly group. In-hospital mortality, 1-year mortality, and 2-year mortality rates were 4.5%, 19.2%, and 26.8%, respectively. Multivariate Cox regression analyses revealed that malnutrition (odds ratio [OR], 2.52; 95% confidence interval [CI], 1.39 to 4.60; p = 0.002) and the Charlson comorbidity index score (OR, 1.30; 95% CI, 1.17 to 1.45; p < 0.001) were associated with 2-year mortality.

CONCLUSION

Malnutrition was common and associated with a poor long-term outcome in patients with CAP, particularly the elderly. A routine nutritional assessment at admission is mandatory as a first step for appropriate nutritional therapy.