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Yang X, Wu M, Li T, Yu J, Fu T, Li G, Xiong H, Liao G, Zhang S, Li S, Zeng Z, Chen C, Liang B, Zhou Z, Lu M. Clinical Features and a Prediction Model for Early Prediction of Composite Outcome in Chlamydia psittaci Pneumonia: A Multi-Centre Retrospective Study in China. Infect Drug Resist 2024; 17:3913-3923. [PMID: 39257441 PMCID: PMC11386017 DOI: 10.2147/idr.s431543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 08/23/2024] [Indexed: 09/12/2024] Open
Abstract
Introduction C. psittaci pneumonia has atypical clinical manifestations and is often ignored by clinicians. This study analyzed the clinical characteristics, explored the risk factors for composite outcome and established a prediction model for early prediction of composite outcome among C. psittaci pneumonia patients. Methods A multicenter, retrospective, observational cohort study was conducted in ten Chinese tertiary hospitals. Patients diagnosed with C. psittaci pneumonia were included, and their clinical data were collected and analyzed. The composite outcome of C. psittaci pneumonia included death during hospitalization, ICU admission, and mechanical ventilation. Univariate and multivariable logistic regression analyses were conducted to determine the significant variables. A ten-fold cross-validation was performed to internally validate the model. The model performance was evaluated using various methods, including receiver operating characteristics (ROC), C-index, sensitivity, specificity, positive/negative predictive value (PPV/NPV), decision curve analysis (DCA), and clinical impact curve analysis (CICA). Results In total, 83 patients comprised training cohorts and 36 patients comprised validation cohorts. CURB-65 was used to establish predictive Model 1. Multivariate logistic regression analysis identified three independent prognostic factors, including serum albumin, CURB-65, and white blood cells. These factors were employed to construct model 2. Model 2 had acceptable discrimination (AUC of 0.898 and 0.825 for the training and validation sets, respectively) and robust internal validity. The specificity, sensitivity, NPV, and PPV for predicting composite outcome in the nomogram model were 91.7%, 84.5%, 50.0%, and 98.4% in the training sets, and 100.0%, 64.7%, 14.2%, and 100.0% in the validation sets. DCA and CICA showed that the nomogram model was clinically practical. Conclusion This study constructs a refined nomogram model for predicting the composite outcome in C. psittaci pneumonia patients. This nomogram model enables early and accurate C. psittaci pneumonia patients' evaluation, which may improve clinical outcomes.
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Affiliation(s)
- Xue Yang
- Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People's Republic of China
| | - Man Wu
- Department of Respiratory and Critical Care Medicine, Shanghai Public Health Clinical Center Affiliated to Fudan University, Shanghai, People's Republic of China
| | - Tangzhiming Li
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, The First Affiliated Hospital, Southern University of Science and Technology, Jinan University), Shenzhen, Guangdong, People's Republic of China
| | - Jie Yu
- Department of Respiratory and Critical Care Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, People's Republic of China
| | - Tian Fu
- Department of Respiratory and Critical Care Medicine, Jining No 1. People's Hospital, Jining, Shandong, People's Republic of China
| | - Guoping Li
- Department of Respiratory and Critical Care Medicine, Tongde Hospital of Zhejiang Hangzhou, Zhejiang, People's Republic of China
| | - Huanwen Xiong
- Department of Respiratory and Critical Care Medicine, Gaoxin Branch of The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China
| | - Gang Liao
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, Guangdong, People's Republic of China
| | - Sensen Zhang
- Department of Respiratory Medicine, The Third Central Hospital of Tianjin, Tianjin, People's Republic of China
| | - Shaofeng Li
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, People's Republic of China
| | - Zhonghua Zeng
- Department of Respiratory and Critical Care Medicine, The First People's Hospital of Fuzhou, Jiangxi, People's Republic of China
| | - Chun Chen
- Cancer Center, Department of Pulmonary and Critical Care Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, People's Republic of China
| | - Benhui Liang
- Department of Cardiology, Xiangya Hospital, Central South University, Changsha, People's Republic of China
- Department of Structural Heart Disease, National Center for Cardiovascular Disease, China & State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Health Commission Key Laboratory of Cardiovascular Regeneration Medicine, National Clinical Research Center for Cardiovascular Diseases, Beijing, People's Republic of China
| | - Zhiguo Zhou
- Department of Pulmonary and Critical Care Medicine, The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China
| | - Ming Lu
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, People's Republic of China
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Zhao L, Bian W, Shang Y, Zhi H, Ma X, He Y, Yu W, Liu C, Xu Y, Gong P, Gao Z. Plasma proteome analysis and validation of patients with community-acquired pneumonia: A cohort study. Proteomics Clin Appl 2024; 18:e202300069. [PMID: 38332320 DOI: 10.1002/prca.202300069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 12/16/2023] [Accepted: 12/21/2023] [Indexed: 02/10/2024]
Abstract
PURPOSE This study aimed to investigate the diagnostic potential of plasma biomarkers of community-acquired pneumonia (CAP) and their severity grading. EXPERIMENTAL DESIGN Plasma proteomes from cohort I (n = 32) with CAP were analyzed by data-independent acquisition mass spectrometry (MS). MetaboAnalyst 5.0 was used to statistically evaluate significant differences in proteins from different samples, and demographic and clinical data were recorded for all enrolled patients. Cohort II (n = 80) was used to validate candidate biomarkers. Plasma protein levels were determined using quantitative enzyme-linked immunosorbent assay (ELISA). Correlations were assessed using Pearson's correlation coefficient. A receiver operating characteristic curve was used to verify the association between the variables, CAP diagnosis, and prognosis. RESULTS 121 differentially expressed proteins (DEPs) were obtained between CAP and controls. These DEPs were mainly aggregated in pathways of phagosome(hsa04145) and complement and coagulation cascades (hsa04610). No significant differential proteins were detected in bacterial, viral, and mixed infection groups. The plasma levels of fetuin-A, alpha-1-antichymotrypsin (AACT), α1-acid glycoprotein (A1AG), and S100A8/S100A9 heterodimers detected by ELISA were consistent with those of MS. AACT, A1AG, S100A8/S100A9 heterodimer, and fetuin-A can potentially be used as diagnostic predictors, and fetuin-A and AACT are potential predictors of SCAP. CONCLUSIONS AND CLINICAL RELEVANCE Plasma protein profiling can successfully identify potential biomarkers for CAP diagnosis and disease severity assessment. These biomarkers should be further studied for their clinical application.
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Affiliation(s)
- Lili Zhao
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Wenjie Bian
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Ying Shang
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Hui Zhi
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Xinqian Ma
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Yukun He
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Wenyi Yu
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Chunyu Liu
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Yu Xu
- Department of Respiratory and Critical Care Medicine, Beijing Jishuitan Hospital, Beijing, China
| | - Pihua Gong
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Zhancheng Gao
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
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Yang F, Gao L, Xu C, Wang Q, Gao W. Association between advanced lung cancer inflammation index and in-hospital mortality in ICU patients with community-acquired pneumonia: A retrospective analysis of the MIMIC-IV database. Aging Med (Milton) 2024; 7:350-359. [PMID: 38975311 PMCID: PMC11222737 DOI: 10.1002/agm2.12334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/16/2024] [Accepted: 05/29/2024] [Indexed: 07/09/2024] Open
Abstract
Objective The objective of the present study was to explore the correlation between the advanced lung cancer inflammation index (ALI) and in-hospital mortality among patients diagnosed with community-acquired pneumonia (CAP). Methods Data from the Medical Information Mart for Intensive Care-IV database were adopted to analyze the in-hospital mortality of ICU patients with CAP. Upon admission to the ICU, fundamental data including vital signs, critical illness scores, comorbidities, and laboratory results, were collected. The in-hospital mortality of all CAP patients was documented. Multivariate logistic regression (MLR) models and restricted cubic spline (RCS) analysis together with subgroup analyses were conducted. Results This study includes 311 CAP individuals, involving 218 survivors as well as 93 nonsurvivors. The participants had an average age of 63.57 years, and the females accounted for approximately 45.33%. The in-hospital mortality was documented to be 29.90%. MLR analysis found that ALI was identified as an independent predictor for in-hospital mortality among patients with CAP solely in the Q1 group with ALI ≤ 39.38 (HR: 2.227, 95% CI: 1.026-4.831, P = 0.043). RCS analysis showed a nonlinear relationship between the ALI and in-hospital mortality, with a turning point at 81, and on the left side of the inflection point, a negative correlation was observed between ALI and in-hospital mortality (HR: 0.984, 95% CI: 0.975-0.994, P = 0.002). The subgroup with high blood pressure showed significant interaction with the ALI. Conclusion The present study demonstrated a nonlinear correlation of the ALI with in-hospital mortality among individuals with CAP. Additional confirmation of these findings requires conducting larger prospective investigations.
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Affiliation(s)
- Feng Yang
- Department of Respiratory and Critical Care Medicine, China Rehabilitation Research CenterRehabilitation School of Capital Medical UniversityBeijingChina
| | - Lianjun Gao
- Department of Respiratory and Critical Care Medicine, China Rehabilitation Research CenterRehabilitation School of Capital Medical UniversityBeijingChina
| | - Cuiping Xu
- Department of Respiratory and Critical Care Medicine, China Rehabilitation Research CenterRehabilitation School of Capital Medical UniversityBeijingChina
| | - Qimin Wang
- Department of Respiratory and Critical Care Medicine, China Rehabilitation Research CenterRehabilitation School of Capital Medical UniversityBeijingChina
| | - Wei Gao
- Department of Respiratory and Critical Care Medicine, China Rehabilitation Research CenterRehabilitation School of Capital Medical UniversityBeijingChina
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Kong S, Yu S, He W, He Y, Chen W, Zhang Y, Dai Y, Li H, Zhan Y, Zheng J, Yang X, He P, Duan C, Tan N, Liu Y. Serum Albumin-to-Creatinine Ratio: A Novel Predictor of Pulmonary Infection in Patients with ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention. J Atheroscler Thromb 2024:64717. [PMID: 38763733 DOI: 10.5551/jat.64717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/21/2024] Open
Abstract
AIM In patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI), a low serum albumin-to-creatinine ratio (sACR) is associated with elevated risk of poor short- and long-term outcomes. However, the relationship between sACR and pulmonary infection during hospitalization in patients with STEMI undergoing PCI remains unclear. METHODS A total of 4,507 patients with STEMI undergoing PCI were enrolled and divided into three groups according to sACR tertile. The primary outcome was pulmonary infection during hospitalization, and the secondary outcome was in-hospital major adverse cardiovascular events (MACE) including stroke, in-hospital mortality, target vessel revascularization, recurrent myocardial infarction, and all-cause mortality during follow-up. RESULTS Overall, 522 (11.6%) patients developed pulmonary infections, and 223 (4.9%) patients developed in-hospital MACE. Cubic spline models indicated a non-linear, L-shaped relationship between sACR and pulmonary infection (P=0.039). Receiver operating characteristic curve analysis indicated that sACR had good predictive value for both pulmonary infection (area under the ROC curve [AUC]=0.73, 95% CI=0.70-0.75, P<0.001) and in-hospital MACE (AUC=0.72, 95% CI=0.69-0.76, P<0.001). Kaplan-Meier survival analysis indicated that higher sACR tertiles were associated with a greater cumulative survival rate (P<0.001). Cox regression analysis identified lower sACR as an independent predictor of long-term all-cause mortality (hazard ratio [HR]=0.96, 95% CI=0.95-0.98, P<0.001). CONCLUSIONS A low sACR was significantly associated with elevated risk of pulmonary infection and MACE during hospitalization, as well as all-cause mortality during follow-up among patients with STEMI undergoing PCI. These findings highlighted sACR as an important prognostic marker in this patient population.
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Affiliation(s)
- Siyu Kong
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Shijie Yu
- Department of Biostatistics, School of Public Health, Southern Medical University
| | - Weibin He
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Yu He
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Weikun Chen
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Yeshen Zhang
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Yining Dai
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Hailing Li
- The Second School of Clinical Medicine, Southern Medical University
| | - Yuling Zhan
- The Second School of Clinical Medicine, Southern Medical University
| | - Jiyang Zheng
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Xuxi Yang
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Pengcheng He
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University
| | - Ning Tan
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
| | - Yuanhui Liu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences
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Zhang F, Zhang M, Niu Z, Sun L, Kang X, Qu Y. Prognostic value of lactic dehydrogenase-to-albumin ratio in critically ill patients with acute respiratory distress syndrome: a retrospective cohort study. J Thorac Dis 2024; 16:81-90. [PMID: 38410562 PMCID: PMC10894402 DOI: 10.21037/jtd-23-1238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/17/2023] [Indexed: 02/28/2024]
Abstract
Background Lactic dehydrogenase (LDH)-to-albumin ratio (LAR) was an independent risk factor for mortality in the patients with acute respiratory distress syndrome (ARDS) due to coronavirus disease 2019 (COVID-19), while the relationship among LAR and short-term, long-term, in-hospital mortalities of ARDS remains unclear. The current study aims to investigate the association between LAR and significant prognosis in patients with ARDS. Methods We conducted a retrospective cohort study and analyzed patients with ARDS on the Medical Information Mart for Intensive Care IV (MIMIC-IV) version 2.0 database. In the current study, 30-day mortality was defined as the primary outcome; 90-day mortality and in-hospital mortality were defined as secondary outcomes. Multivariate regression analysis, Kaplan-Meier curve analysis and subgroup analysis were performed to research the association between LAR and prognosis in patients with ARDS. Results A total of 358 critically ill patients with ARDS were enrolled in the current study. The mean age of the participants was 62.6±16.0 and the median of LAR was 14.3. According to the Kaplan-Meier curve analysis, the higher LAR group had a higher 30-day, 90-day and in-hospital mortalities. We also analyzed the 30-day mortality to receiver operating characteristic (ROC) curves by comparing the value between LAR and LAR + simplified acute physiology score II (SAPS II). The area under the curve (AUC) of the LAR group was 0.694 [95% confidence interval (CI): 0.634-0.754, P<0.001], and 0.661 for the LAR + SAPS II (95% CI: 0.599-0.722, P<0.001). For 30-day mortality, after adjusting for covariates, hazard ratios (HRs) (95% CIs) for tertile 2 (LAR 8.7-30.9) and tertile 3 (LAR >30.9) were 2.00 (1.37, 2.92) and 2.50 (1.50, 4.15), respectively. Similar results were also observed for 90-day mortality and in-hospital mortality. Conclusions Elevated LAR levels are associated with increased 30- and 90-day mortalities, as well as in-hospital mortality in patients with ARDS, which means LAR levels may predict the mortalities of ARDS patients.
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Affiliation(s)
- Fushuai Zhang
- Department of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
| | - Mengyu Zhang
- Department of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
| | - Zongge Niu
- Department of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
| | - Lina Sun
- Department of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
| | - Xiuhe Kang
- Department of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
| | - Yiqing Qu
- Department of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
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Turcato G, Zaboli A, Sibilio S, Mian M, Brigo F. The Clinical Utility of Albumin with Sequential Organ Failure Assessment (SOFA) in Improving 30-Day Mortality Prediction in Patients with Infection in the Emergency Department. J Clin Med 2023; 12:7676. [PMID: 38137746 PMCID: PMC10744260 DOI: 10.3390/jcm12247676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND The Sequential Organ Failure Assessment (SOFA) score is currently the primary prognostic tool used in patients with infections to predict sepsis and mortality, although its predictive role remains debated. Serum albumin values have been recently found to correlate with the severity of sepsis. The purpose of this study is to evaluate the clinical usefulness of albumin dosage on SOFA score prediction in infected patients. METHODS This prospective single-centre observational study was performed in 2021. We used the net reclassification improvement (NRI) technique to evaluate the additional prognostic value of serum albumin used together with the SOFA score in infected patients. The discriminatory abilities of the SOFA score alone, of albumin levels alone, and of the albumin levels together with (but not incorporated into) the SOFA score was evaluated by comparing the area under the curve of the corresponding receiver operating characteristic (ROC) curves. RESULTS We included 949 patients with an infectious status; 8.9% (84/949) died within 30 days of ED admission. The AUROC for the SOFA score was 0.802 (95% CI: 0.756-0.849) and the albumin level was 0.813 (95% CI: 0.775-0.852). The NRI found that serum albumin improved SOFA score predictions of 30-day mortality by 24.3% (p < 0.001), yielding an AUROC of 0.881 (95% CI: 0.848-0.912; p < 0.001). CONCLUSIONS Using serum albumin values together with the SOFA score can improve prognostic prediction in patients with infections evaluated in the ED.
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Affiliation(s)
- Gianni Turcato
- Department of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), 36014 Santorso, Italy;
| | - Arian Zaboli
- Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Via A. Volta 5, 39049 Bolzano, Italy; (A.Z.); (M.M.)
| | - Serena Sibilio
- Department of Emergency Medicine, Hospital of Merano-Meran (SABES-ASDAA), 39012 Merano-Meran, Italy;
- Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, 5020 Salzburg, Austria
| | - Michael Mian
- Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Via A. Volta 5, 39049 Bolzano, Italy; (A.Z.); (M.M.)
- Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, 5020 Salzburg, Austria
- College of Health Care-Professions Claudiana, 39100 Bozen, Italy
| | - Francesco Brigo
- Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Via A. Volta 5, 39049 Bolzano, Italy; (A.Z.); (M.M.)
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Xu C, Liu H, Zhang H, Zeng J, Li Q, Yi Y, Li N, Cheng R, Li Q, Zhou X, Lv C. Predictive value of arterial blood lactate to serum albumin ratio for in-hospital mortality of patients with community-acquired pneumonia admitted to the Intensive Care Unit. Postgrad Med 2023; 135:273-282. [PMID: 35930266 DOI: 10.1080/00325481.2022.2110769] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
OBJECTIVE To investigate the predictive value of the arterial blood lactate to serum albumin ratio (LAR) on in-hospital mortality of patients with community-acquired pneumonia (CAP) admitted to the Intensive Care Unit (ICU). METHODS Clinical datasets of 1720 CAP patients admitted to ICU from MIMIC-IV database were retrospectively analyzed. Patients were randomly assigned to the training cohort (n=1204) and the validation cohort (n=516) in a ratio of 7:3. X-tile software was used to find the optimal cut-off value for LAR. The receiver operating curve (ROC) analysis was conducted to compare the performance between LAR and other indicators. Univariate and multivariate Cox regression analyses were applied to select prognostic factors associated with in-hospital mortality. Based on the observed prognostic factors, a nomogram model was created in training cohort, and the validation cohort was utilized to further validate the nomogram. RESULTS The optimal cut-off value for LAR in CAP patients admitted to ICU was 1.6 (the units of lactate and albumin were, respectively, 'mmol/L' and 'g/dL'). The ROC analysis showed that the discrimination abilities of LAR were superior to other indicators except Sequential Organ Failure Assessment score and Simplified acute physiology score (SAPSII), which had the same abilities. Age, mean arterial pressure, SpO2, heart rate, SAPSII score, neutrophil-to-lymphocyte ratio, and LAR were found to be independent predictors of poor overall survival in the training cohort by multivariate Cox regression analysis and were incorporated into the nomogram for in-hospital mortality as independent factors. The nomogram model, exhibiting medium discrimination, had a C-index of 0.746 (95% CI = 0.715-0.777) in the training cohort and 0.716 (95% CI = 0.667-0.765) in the validation cohort. CONCLUSION LAR could predict in-hospital mortality of patients with CAP admitted to ICU independently as a readily accessible biomarker. The nomogram that included LAR with other independent factors performed well in predicting in-hospital mortality.
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Affiliation(s)
- Chaoqun Xu
- Emergency and Trauma College, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Haoran Liu
- Emergency and Trauma College, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Hao Zhang
- Department of Emergency, The Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Jun Zeng
- Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Quan Li
- Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yang Yi
- Emergency and Trauma College, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Nan Li
- Emergency and Trauma College, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Ruxin Cheng
- Emergency and Trauma College, Hainan Medical University, Haikou, China
| | - Qi Li
- Department of Respiratory Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Xiangdong Zhou
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
- Department of Respiratory Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences (No. 2019RU013), Hainan Medical University, Haikou, China
| | - Chuanzhu Lv
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
- Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences (No. 2019RU013), Hainan Medical University, Haikou, China
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Zhao LH, Chen J, Zhu RX. The relationship between frailty and community-acquired pneumonia in older patients. Aging Clin Exp Res 2023; 35:349-355. [PMID: 36447006 DOI: 10.1007/s40520-022-02301-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 11/03/2022] [Indexed: 12/05/2022]
Abstract
PURPOSES To explore the relationship between frailty and community-acquired pneumonia (CAP) in older patients. METHODS A prospective observational study included 109 older patients(≥ 65 years) hospitalized with CAP in respiratory department of Fuxing hospital, Capital Medical University from June 2018 to December 2020. Frailty scores(Frail Scale, range 0-5) and pneumonia severity CURB-65 scale(mild = 1, modest = 2, and severe ≥ 3) were measured. We extracted clinical variables including white blood cell(WBC), neutrophil-to-lymphocyte ratio (NLR), C-reactive protein(CRP), hemoglobin, and albumin. Charlson Comorbidity Index(CCI) was calculated as well. The correlations between the variables and frailty scores were investigated, respectively. After adjusting for covariates, binomial logistic regression analysis was used to assess independent effect of frailty scores on the outcome(discharge or death/progression) in older CAP patients. RESULTS The subjects had a median age 87(interquartile range,8.5) years, 60.6% male, 45.9% pre-frail, and 32.1% frail. There were positive correlations between frailty scores and CURB-65 scale (p = 0.000, r = 0.542), CCI(p = 0.000, r = 0.359) and NLR(p = 0.005, r = 0.268). Negative correlations were observed between frailty scores and hemoglobin (p = 0.002, r = - 0.298), albumin (p = 0.000, r = - 0.465). In multivariable logistic regression analysis, the factors associated with discharge or death/progression of CAP were frailty scores (OR = 1.623, p = 0.037), NLR (OR = 1.086, p = 0.008) and albumin (OR = 0.869, p = 0.034). CONCLUSIONS Frailty is correlated with CURB-65 scale, CCI and hemoglobin, and albumin in older patients with CAP. Frailty is also a correlate of increased risk for death or progression in these older people.
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Affiliation(s)
- Li-Hua Zhao
- Respiratory Department, Fuxing Hospital, Capital Medical University, Fuxingmen Outer Street 20, Xicheng District, Beijing, 100038, China.
| | - Jin Chen
- Respiratory Department, Fuxing Hospital, Capital Medical University, Fuxingmen Outer Street 20, Xicheng District, Beijing, 100038, China
| | - Rui-Xia Zhu
- Respiratory Department, Fuxing Hospital, Capital Medical University, Fuxingmen Outer Street 20, Xicheng District, Beijing, 100038, China
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9
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Li N, Chu W. Development and validation of a survival prediction model in elder patients with community-acquired pneumonia: a MIMIC-population-based study. BMC Pulm Med 2023; 23:23. [PMID: 36650467 PMCID: PMC9847177 DOI: 10.1186/s12890-023-02314-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 01/05/2023] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND To develop a prediction model predicting in-hospital mortality of elder patients with community-acquired pneumonia (CAP) admitted to the intensive care unit (ICU). METHODS In this cohort study, data of 619 patients with CAP aged ≥ 65 years were obtained from the Medical Information Mart for Intensive Care III (MIMIC III) 2001-2012 database. To establish the robustness of predictor variables, the sample dataset was randomly partitioned into a training set group and a testing set group (ratio: 6.5:3.5). The predictive factors were evaluated using multivariable logistic regression, and then a prediction model was constructed. The prediction model was compared with the widely used assessments: Sequential Organ Failure Assessment (SOFA), Pneumonia Severity Index (PSI), systolic blood pressure, oxygenation, age and respiratory rate (SOAR), CURB-65 scores using positive predictive value (PPV), negative predictive value (NPV), accuracy (ACC), area under the curve (AUC) and 95% confidence interval (CI). The decision curve analysis (DCA) was used to assess the net benefit of the prediction model. Subgroup analysis based on the pathogen was developed. RESULTS Among 402 patients in the training set, 90 (24.63%) elderly CAP patients suffered from 30-day in-hospital mortality, with the median follow-up being 8 days. Hemoglobin/platelets ratio, age, respiratory rate, international normalized ratio, ventilation use, vasopressor use, red cell distribution width/blood urea nitrogen ratio, and Glasgow coma scales were identified as the predictive factors that affect the 30-day in-hospital mortality. The AUC values of the prediction model, the SOFA, SOAR, PSI and CURB-65 scores, were 0.751 (95% CI 0.749-0.752), 0.672 (95% CI 0.670-0.674), 0.607 (95% CI 0.605-0.609), 0.538 (95% CI 0.536-0.540), and 0.645 (95% CI 0.643-0.646), respectively. DCA result demonstrated that the prediction model could provide greater clinical net benefits to CAP patients admitted to the ICU. Concerning the pathogen, the prediction model also reported better predictive performance. CONCLUSION Our prediction model could predict the 30-day hospital mortality in elder patients with CAP and guide clinicians to identify the high-risk population.
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Affiliation(s)
- Na Li
- grid.449268.50000 0004 1797 3968Department of Clinical Medicine, College of Medicine, Pingdingshan University, Pingdingshan, 467000 People’s Republic of China
| | - Wenli Chu
- grid.508540.c0000 0004 4914 235XDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xi’an Medical College, No. 167 Fangdong Street, Baqiao District, Xi’an, 710038 People’s Republic of China
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10
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Higashikawa T, Ito T, Mizuno T, Ishigami K, Kuroki K, Maekawa N, Usuda D, Nakao S, Hamada K, Takagi S, Terada N, Takeshima K, Yamada S, Sangen R, Izumida T, Kiyosawa J, Saito A, Iguchi M, Wato H, Nakahashi T, Kasamaki Y, Fukuda A, Kanda T, Okuro M. A new predictive tool consolidating CURB-65 with procalcitonin and albumin to assess short-term mortality in hospitalized elderly patients with infectious disease: A retrospective study of a patient cohort. Medicine (Baltimore) 2022; 101:e31614. [PMID: 36401412 PMCID: PMC9678497 DOI: 10.1097/md.0000000000031614] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Hospitalized elderly patients are often at risk of life-threatening infectious diseases such as pneumonia and urinary tract infection, thus diagnostic tools for bacterial infections are demanded. We developed a new predictive tool consolidating modified CURB-65, procalcitonin (PCT) and albumin (Alb). METHOD This is a retrospective study. Modified CURB-65 (mCURB-65) score, PCT, Alb, and various cardiovascular/respiratory/renal functions were measured. Survival analyses were conducted to assess 30-days mortality of elderly patients using mCURB-65 score, PCT and Alb. The consolidated scores were compared with the number of patients died. RESULTS There were 445 elderly patients included. Kaplan-Meier survival curves showed significant differences between the high and low groups of mCURB-65, PCT and Alb (log-rank test, P < .001). Cox proportional regression showed that the hazard ratios (95% confidence intervals) for high mCURB-65, high Alb, and high PCT were all significant, 1.95 (1.24-3.05), 0.50 (0.32-0.77), and 2.09 (1.32-3.31), respectively. The consolidated scores showed tendency of increase with proportion of the number of patients died. CONCLUSIONS The consolidated score consisted of mCURB-65, PCT and Alb can be a useful tool to predict short-term mortality of the hospitalized elderly patients with infectious disease.
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Affiliation(s)
- Toshihiro Higashikawa
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
- Department of Geriatric Medicine, Kanazawa Medical University, Uchinada, Kahoku-gun, Ishikawa, Japan
- *Correspondence: Toshihiro Higashikawa, Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, 935-8531, Japan (e-mail: )
| | - Tomohiko Ito
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Takuro Mizuno
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Keiichirou Ishigami
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Kengo Kuroki
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Naoto Maekawa
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Daisuke Usuda
- Department of Emergency and Critical Care Medicine, Juntendo University Nerima Hospital, Takanodai, Nerima-ku, Tokyo, Japan
| | - Shinichiro Nakao
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Kazu Hamada
- Department of Geriatric Medicine, Kanazawa Medical University, Uchinada, Kahoku-gun, Ishikawa, Japan
| | - Susumu Takagi
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Nao Terada
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Kento Takeshima
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Shinya Yamada
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Ryusho Sangen
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Toshihide Izumida
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Jun Kiyosawa
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Atsushi Saito
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Masaharu Iguchi
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Hiroyuki Wato
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Takeshi Nakahashi
- Department of Geriatric Medicine, Kanazawa Medical University, Uchinada, Kahoku-gun, Ishikawa, Japan
| | - Yuji Kasamaki
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Akihiro Fukuda
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Tsugiyasu Kanda
- Kanazawa Medical University Himi Municipal Hospital, Kurakawa, Himi, Toyama, Japan
| | - Masashi Okuro
- Department of Geriatric Medicine, Kanazawa Medical University, Uchinada, Kahoku-gun, Ishikawa, Japan
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11
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Li Q, Zhang X, Chen B, Ji Y, Chen W, Cai S, Xu M, Yu M, Bao Q, Li C, Zhang H. Early predictors of lung necrosis severity in children with community-acquired necrotizing pneumonia. Pediatr Pulmonol 2022; 57:2172-2179. [PMID: 35686616 DOI: 10.1002/ppul.26020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 05/17/2022] [Accepted: 05/29/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To analyze baseline clinical and laboratory characteristics and explore the possible predictors of lung necrosis severity in children with community-acquired necrotizing pneumonia (NP). METHODOLOGY This retrospective observational study was performed in a tertiary referral center. A total of 104 patients aged <15 years with community-acquired pneumonia and radiologically confirmed NP by computed tomography (CT) were included. Patients were classified into the mild, moderate, or massive necrosis groups. RESULTS Among them, 29, 41, and 34 patients had mild, moderate, and massive necrosis, respectively. Moreover, 34.6% of the patients were admitted to pediatric intensive care unit. Massive necrosis was more likely to occur during winter (p < 0.05) and was associated with more severe clinical outcomes, such as longer duration of fever, longer hospitalization, increased mortality, and a higher risk of subsequent surgical intervention (p < 0.05). Multivariate analysis demonstrated that the following were independent risk factors for massive necrosis in this study: C-reactive protein (CRP) (p = 0.036), serum albumin (p = 0.009), and immunoglobulin M (IgM) (p = 0.022). Receiver operating characteristic analysis showed that when the cut-off value for CRP, serum albumin, and IgM were set at 122 mg/L, 30.8 g/L, and 95.7 mg/dl, respectively, they showed good diagnostic performance for differentiating patients with massive necrosis from all patients with NP. CONCLUSION NP is a potentially severe complication of pediatric community-acquired pneumonia. Different severities of lung necrosis can lead to different clinical outcomes. CRP, serum albumin, and IgM levels are independent predictors of the degree of lung necrosis.
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Affiliation(s)
- Qiaoling Li
- Department of Pediatric Respiratory Disease, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China.,Institute of Biomedical Informatics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xueya Zhang
- Department of Pediatric Respiratory Disease, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China.,Institute of Biomedical Informatics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Bo Chen
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yongan Ji
- Department of Clinical Laboratory, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Wei Chen
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Shujing Cai
- Department of Pediatric Respiratory Disease, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Ming Xu
- Department of Pediatric Respiratory Disease, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Mingwei Yu
- Department of Pediatric Respiratory Disease, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Qiyu Bao
- Institute of Biomedical Informatics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.,Key Laboratory of Medical Genetics of Zhejiang Province, Key Laboratory of Laboratory Medicine, Ministry of Education of China, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.,Department of Laboratory Sciences, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Changchong Li
- Department of Pediatric Respiratory Disease, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Hailin Zhang
- Department of Pediatric Respiratory Disease, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China.,Institute of Biomedical Informatics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
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12
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Association of Serum Albumin and Copeptin with Early Clinical Deterioration and Instability in Community-Acquired Pneumonia. Adv Respir Med 2022; 90:323-337. [PMID: 36004962 PMCID: PMC9717422 DOI: 10.3390/arm90040042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 07/07/2022] [Accepted: 08/02/2022] [Indexed: 11/17/2022]
Abstract
Background: There is a paucity of data on biomarkers for the early deterioration and clinical instability of patients in community-acquired pneumonia (CAP), as treatment failure occurs in the first seven days in 90% of patients. Aim: To evaluate serum albumin and copeptin with CURB-65, PSI scoring and ATS/IDSA minor criteria for the prediction of early mortality or ICU-admission (7 days) and clinical instability after 72 h. Methods: In 100 consecutive hospitalized adult CAP patients, PSI-scores, CURB-65 scores, ATS/IDSA 2007 minor criteria, copeptin and albumin on admission were evaluated. Univariate and multivariate Cox regression analysis was performed to assess independent risk factors for early combined mortality or ICU admission. Predictive powers of albumin and copeptin were tested with ROC curves and ICU-free survival probability was tested using Kaplan−Meier analysis. Results: Albumin was lower and copeptin higher in patients with short-term adverse outcomes (p < 0.05). Cox regression analysis showed that albumin [HR (95% CI): 0.41 (0.18−0.94, p = 0.034)] and copeptin [HR (95% CI): 1.94 (1.03−3.67, p = 0.042)] were independent risk factors for early combined mortality or ICU admission (7 days). The Kaplan−Meier analysis observed that high copeptin (>27.12 ng/mL) and low albumin levels (<2.85 g/dL) had a lower (p < 0.001) survival probability. The diagnostic accuracy of albumin was better than copeptin. The inclusion of albumin and copeptin into ATS/IDSA minor criteria significantly improved their predictive power. Conclusions: Both biomarkers serum albumin and copeptin can predict early deterioration and clinical instability in hospitalized CAP patients and increase the prognostic power of the traditional clinical scoring systems.
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13
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Ma CM, Wang N, Su QW, Yan Y, Wang SQ, Ma CH, Liu XL, Dong SC, Lu N, Yin LY, Yin FZ. Age, Pulse, Urea, and Albumin Score: A Tool for Predicting the Short-Term and Long-Term Outcomes of Community-Acquired Pneumonia Patients With Diabetes. Front Endocrinol (Lausanne) 2022; 13:882977. [PMID: 35721751 PMCID: PMC9198271 DOI: 10.3389/fendo.2022.882977] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/13/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE The predictive performances of CURB-65 and pneumonia severity index (PSI) were poor in patients with diabetes. This study aimed to develop a tool for predicting the short-term and long-term outcomes of CAP in patients with diabetes. METHODS A retrospective study was conducted on 531 CAP patients with type 2 diabetes. The short-term outcome was in-hospital mortality. The long-term outcome was 24-month all-cause death. The APUA score was calculated according to the levels of Age (0-2 points), Pulse (0-2 points), Urea (0-2 points), and Albumin (0-4 points). The area under curves (AUCs) were used to evaluate the abilities of the APUA score for predicting short-term outcomes. Cox regression models were used for modeling relationships between the APUA score and 24-month mortality. RESULTS The AUC of the APUA score for predicting in-hospital mortality was 0.807 in patients with type 2 diabetes (P<0.001). The AUC of the APUA score was higher than the AUCs of CURB-65 and PSI class (P<0.05). The long-term mortality increased with the risk stratification of the APUA score (low-risk group (0-1 points) 11.5%, intermediate risk group (2-4 points) 16.9%, high risk group (≥5 points) 28.8%, P<0.05). Compared with patients in the low-risk group, patients in the high-risk group had significantly increased risk of long-term death, HR (95%CI) was 2.093 (1.041~4.208, P=0.038). CONCLUSION The APUA score is a simple and accurate tool for predicting short-term and long-term outcomes of CAP patients with diabetes.
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Affiliation(s)
- Chun-Ming Ma
- Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Ning Wang
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, China
| | - Quan-Wei Su
- Department of Internal Medicine, Chengde Medical College, Chengde, China
| | - Ying Yan
- Department of Internal Medicine, Chengde Medical College, Chengde, China
| | - Si-Qiong Wang
- Department of Internal Medicine, Hebei North University, Zhangjiakou, China
| | - Cui-Hua Ma
- Clinical Laboratory, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Xiao-Li Liu
- Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Shao-Chen Dong
- Respiratory and Critical Care Medicine, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Na Lu
- Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Li-Yong Yin
- Department of Neurology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Fu-Zai Yin
- Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China
- *Correspondence: Fu-Zai Yin,
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14
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Clinical Usefulness of Red Cell Distribution Width/Albumin Ratio to Discriminate 28-Day Mortality in Critically Ill Patients with Pneumonia Receiving Invasive Mechanical Ventilation, Compared with Lacate/Albumin Ratio: A Retrospective Cohort Study. Diagnostics (Basel) 2021; 11:diagnostics11122344. [PMID: 34943582 PMCID: PMC8699932 DOI: 10.3390/diagnostics11122344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/25/2021] [Accepted: 12/09/2021] [Indexed: 12/15/2022] Open
Abstract
The value of the red cell distribution width (RDW) is associated with prognosis in critically ill patients. A simplex combined index—the RDW/albumin ratio—has been proposed for the prediction of mortality, as has the lactate/albumin ratio. The aim of this study was to evaluate the clinical utility of the RDW/albumin ratio regarding 28-day mortality in critically ill patients with pneumonia. Clinical data of critically ill patients with pneumonia who were hospitalized in the medical intensive care unit from May 2018 to December 2020, and received invasive mechanical ventilation (IMV), were reviewed retrospectively. The values of RDW, lactate, and albumin measured at the time of IMV, were used for the index calculations. Of the 234 patients, the median age was 76 years, and 74.2% were male. The 28-day mortality rate was 47.3%. The median RDW/albumin ratio was significantly higher in non-survivors than survivors at 28 days (5.8 vs. 4.9, p < 0.001). A higher RDW/albumin ratio was significantly associated with increased 28-day mortality (odds ratio [OR] 1.338, 95% confidence interval [CI] 1.094–1.637, p = 0.005). The area under the receiver operating curve (AUROC) was 0.694 (95% CI: 0.630–758, p < 0.005) to discern 28-day mortality without significant difference, compared with that of the lactate/albumin ratio. Our data suggest that high RDW/albumin ratio has a similar predictability to the lactate/albumin ratio in critically ill patients with pneumonia receiving IMV.
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Lv C, Chen Y, Shi W, Pan T, Deng J, Xu J. Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population. Clin Interv Aging 2021; 16:1917-1929. [PMID: 34737556 PMCID: PMC8560064 DOI: 10.2147/cia.s335315] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 10/21/2021] [Indexed: 01/22/2023] Open
Abstract
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.
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Affiliation(s)
- Chunxin Lv
- Oncology Department, Punan Hospital of Pudong New District, Shanghai, People's Republic of China
| | - Yue Chen
- Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, London, EC1M 6BE, UK
| | - Wen Shi
- Department of Dermatology, Punan Hospital of Pudong New District, Shanghai, People's Republic of China
| | - Teng Pan
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Jinhai Deng
- Key Laboratory of Medical Immunology, Department of Immunology, Peking University Center for Human Disease Genomics, Ministry of Health, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China
| | - Jiayi Xu
- Geriatric Department, Fudan University, Minhang Hospital, Shanghai, 201100, People's Republic of China
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