Objective This study investigated the associations between paraspinal muscle measurements on chest computed tomography and clinical outcomes of elderly patients with community-acquired pneumonia (CAP). Methods This single-center, retrospective, observational study analyzed elderly patients (≥65 years) with CAP hospitalized through an emergency department between March 2020 and December 2022. We collected their baseline characteristics and laboratory data at the time of admission. The paraspinal muscle index and attenuation were calculated at the level of the 12th thoracic vertebra using chest computed tomography taken within 48 hours before or after admission. Univariable and multivariable logistic regression analyses were conducted to evaluate the association between paraspinal muscle measurements and 28-day mortality. Receiver operating characteristic (ROC) curve and area under the curve (AUC) analyses were used to evaluate the prognostic predictive power. Results Of the 338 enrolled patients, 60 (17.8%) died within 28 days after admission. A high paraspinal muscle index was associated with low 28-day mortality in elderly patients with CAP (adjusted odds ratio, 0.994; 95% confidence interval, 0.992–0.997). The area under the ROC curve for the muscle index was 0.75, which outperformed the pneumonia severity index and the CURB-65 (confusion, urea, respiratory rate, blood pressure, age ≥65 years) metric, both of which showed an AUC of 0.64 in predicting mortality. Conclusion A high paraspinal muscle index was associated with low 28-day mortality in patients aged 65 years or older with CAP.
Early prognostication of septic shock in Korean adults aged 80 years and over: serum albumin combined with Sequential Organ Failure Assessment score Sang-Min Kim, Seung Mok Ryoo, Woon Yong Kwon, Kyuseok Kim, Tae Ho Lim, Sung Pil Chung, Sung-Hyuk Choi, Won Young Kim Acute and Critical Care.2026; 41(2): 304. CrossRef
Development of an opportunistic chest CT-based nomogram for identifying low muscle mass in hospitalized patients with COPD Hengxing Gao, Xuexue Zou, Yiqing Qu, Qianqian Jiao, Hongbo Li Frontiers in Medicine.2026;[Epub] CrossRef
Rectus femoris and vastus intermedius muscle thickness as a predictor of mortality in elderly patients with pneumonia İlker Şirin, Nur Vahapoğlu Vural, Mustafa Yılmaz Alkan, Mert Şahin, Gülşah Çıkrıkçı Işık, Ahmet Burak Erdem, Rasime Pelin Kavak The American Journal of Emergency Medicine.2025; 95: 200. CrossRef
Objective The national health systems are currently facing the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. We assessed the efficacy of outpatient management for patients with SARS-CoV-2 related pneumonia at risk of progression after discharge from the emergency department.
Methods This was a single-center prospective study. We enrolled patients with confirmed SARS-CoV-2 pneumonia, without hypoxemic respiratory failure, and at least one of the following: age ≥65 years or the presence of relevant comorbidities or pneumonia extension >25% on high resolution computed tomography. Patients with pneumonia extension >50% were excluded. An ambulatory visit was performed after at least 48 hours, when patients were either discharged, admitted, or deferred for a further visit. As a control, we evaluated a comparable historical cohort of hospitalized patients.
Results A total of 84 patients were enrolled (51 male patients; mean age, 62.8 years). Two-thirds of the patients had at least one comorbidity and 41.6% had a lung involvement >25% on high resolution computed tomography; the mean duration of symptoms was 8.0±3.0 days, and the mean PaO2/FiO2 ratio was 357.5±38.6. At the end of the follow-up period, 69 patients had been discharged, and 15 were hospitalized (mean stay of 6 days). Older age and higher National Early Warning Score 2 were significant predictors of hospitalization at the first follow-up visit. One hospitalized patient died of septic shock. In the control group, the mean hospital stay was 8 days.
Conclusion Adopting a “discharge and early revaluation” strategy appears to be safe, feasible, and may optimize hospital resources during the SARS-CoV-2 pandemic.
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Objective This study aimed to confirm the accuracy of a machine-learning-based model in predicting the 30-day mortality of patients with pneumonia and evaluating whether they were required to be admitted to the intensive care unit (ICU).
Methods The study conducted a retrospective analysis of pneumonia patients at an emergency department (ED) in Seoul, Korea, from January 1, 2016 to December 31, 2017. Patients aged 18 years or older with a pneumonia registry designation on their electronic medical record were enrolled. We collected their demographic information, mental status, and laboratory findings. Three models were used: the pre-existing CURB-65 model, and the CURB-RF and Extensive CURB-RF models, which were machine-learning models that used a random forest algorithm. The primary outcomes were ICU admission from the ED or 30-day mortality. Receiver operating characteristic curves were constructed for the models, and the areas under these curves were compared.
Results Out of the 1,974 pneumonia patients, 1,732 patients were eligible to be included in the study; from these, 473 patients died within 30 days or were initially admitted to the ICU from the ED. The area under receiver operating characteristic curves of CURB-65, CURB-RF, and extensive-CURB-RF were 0.615 (0.614–0.616), 0.701 (0.700–0.702), and 0.844 (0.843–0.845), respectively.
Conclusion The proposed machine-learning models could predict the mortality of patients with pneumonia more accurately than the pre-existing CURB-65 model and can help decide whether the patient should be admitted to the ICU.
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Objective Community-acquired pneumonia (CAP) is a major cause of sepsis, and sepsis-related acute organ dysfunction affects patient mortality. Although the quick Sequential Organ Failure Assessment (qSOFA) is a new screening tool for patients with suspected infection, its predictive value for the mortality of patients with CAP has not been validated. Lactate concentration is a valuable biomarker for critically ill patients. Thus, we investigated the predictive value of qSOFA with lactate concentration for in-hospital mortality in patients with CAP in the emergency department (ED).
Methods From January 2015 to June 2015, 443 patients, who were diagnosed with CAP in the ED, were retrospectively analyzed. We defined high qSOFA or lactate concentrations as a qSOFA score ≥2 or a lactate concentration >2 mmol/L upon admission at the ED. The primary outcome was all-cause in-hospital mortality.
Results Among the 443 patients, 44 (9.9%) died. Based on the receiver operating characteristic (ROC) analysis, the areas under the curves for the prediction of mortality were 0.720, 0.652, and 0.686 for qSOFA, CURB-65 (confusion, urea, respiratory rate, blood pressure, and age), and Pneumonia Severity Index, respectively. The area under the ROC curve of qSOFA was lower than that of SOFA (0.720 vs. 0.845, P=0.004). However, the area under the ROC curve of qSOFA with lactate concentration was not significantly different from that of SOFA (0.828 vs. 0.845, P=0.509). The sensitivity and specificity of qSOFA with lactate concentration were 71.4% and 83.2%, respectively.
Conclusion qSOFA with lactate concentration is a useful and practical tool for the early prediction of in-hospital mortality among patients with CAP in the ED.
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Objective Red cell distribution width (RDW) is associated with mortality in patients with community-acquired pneumonia (CAP). However, little is known about the effect of changes in RDW during treatment on mortality. Thus, the objective of this study was to evaluate the association between RDW changes and mortality in hospitalized patients with CAP.
Methods Retrospective analyses were performed using medical records of patients hospitalized for CAP from April 2008 to February 2014. The abstracted laboratory values included RDW (from days one to four), clinical variables, and pneumonia severity index (PSI) scores. The ΔRDWn-1 was defined as the change in RDW calculated as: (RDWday1-RDWday-n)/RDWday1×100 (%), where ‘day n’ refers to hospital day.
Results During the study period, a total of 1,069 patients were hospitalized for CAP. The 30-day mortality was 100/1,069 (9.4%). The median RDW at baseline was 14.1% (range, 11.1 to 30.2) and differed significantly between survivors and non-survivors (P<0.05). There were 470 patients with available serial RDW data (30-day mortality 58/470 [12.3%]). Of those, age, PSI score, blood urea nitrogen level, total protein concentration, albumin level, RDW at day 1, and the ΔRDW4-1 differed significantly between survivors and non-survivors. Multivariate Cox regression analysis showed that the significance of the relationship between ΔRDW4-1 and 30-day mortality risk remained after adjusting for age, PSI score, RDW at day 1, total protein concentration, and initial albumin level.
Conclusion RDW change from day 1 to day 4 was an independent predictor of mortality in patients with CAP.
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