scholarly journals Predictors of In-Hospital Mortality in Geriatric Patients with COVID-19

Author(s):  
Elsorady Khalid E ◽  
Aziz Nermeen N ◽  
Daniel Samuel H
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yu Kang ◽  
Xiang-Yang Fang ◽  
Dong Wang ◽  
Xiao-Juan Wang

Abstract Background Community-acquired pneumonia (CAP) and acute myocardial infarction cardiovascular (AMI) are two important health issues in older patients. Little is known regarding characteristics of AMI in older patients hospitalized for CAP. Therefore, we investigated the prevalence, characteristics compared with younger patients, impact on clinical outcomes and risk factors of AMI during hospitalization for CAP in geriatric patients. Methods Eleven thousand nine adult inpatients consisted of 5111 patients≥65 years and 5898 patients< 65 years in respiratory ward diagnosed with CAP were retrospectively analyzed by electronic medical records. Results 159 (3.1%) older patients in respiratory ward experienced AMI during hospitalization for CAP. AMI were more frequently seen in patients≥65 years compared with patients< 65 years (3.1% vs. 1.0%). Patients≥65 years who experienced AMI during hospitalization for CAP had higher percentage of respiratory failure (P = 0.001), hypertension (P = 0.008), dyspnea (P = 0.046), blood urea nitrogen (BUN) ≥7 mmol/L (P < 0.001), serum sodium< 130 mmol/L (P = 0.005) and had higher in-hospital mortality compared to patients< 65 years (10.1% vs. 6.6%). AMI was associated with increased in-hospital mortality (odds ratio, OR, with 95% confidence interval: 1.49 [1.24–1.82]; P < 0.01). Respiratory failure (OR, 1.34 [1.15–1.54]; P < 0.01), preexisting coronary artery disease (OR, 1.31[1.07–1.59]; P = 0.02), diabetes (OR, 1.26 [1.11–1.42]; P = 0.02) and BUN (OR, 1.23 [1.01–1.49]; P = 0.04) were correlated with the occurrence of AMI in the older patients after hospitalization with CAP. Conclusions The incidence of AMI during CAP hospitalization in geriatric patients is notable and have an impact on in-hospital mortality. Respiratory failure, preexisting coronary artery disease, diabetes and BUN was associated with the occurrence of AMI in the older patients after hospitalization with CAP. Particular attention should be paid to older patients with risk factors for AMI.


2020 ◽  
Vol 34 (12) ◽  
pp. 656-661
Author(s):  
Henk Jan Schuijt ◽  
Diederik P. J. Smeeing ◽  
Franka S. Würdemann ◽  
J. Han Hegeman ◽  
Olivia C. Geraghty ◽  
...  

2001 ◽  
Vol 71 (2) ◽  
pp. 597-600 ◽  
Author(s):  
Larry Z Bloomstein ◽  
Isaac Gielchinsky ◽  
Alan D Bernstein ◽  
Victor Parsonnet ◽  
Craig Saunders ◽  
...  

2010 ◽  
Vol 51 (3) ◽  
pp. 290-294 ◽  
Author(s):  
R. Wirth ◽  
D. Volkert ◽  
A. Rösler ◽  
C.C. Sieber ◽  
J.M. Bauer

Author(s):  

Objective: To determine the predictors of in-hospital mortality in critically ill older patients. Participants and Methods: A prospective cohort study including 305 critically ill older adults (age ≥60 years) who were admitted to High Dependency Units (HDUs) in a tertiary care university hospital from March 22, 2019 to January 4, 2020. Demographic, clinical and laboratory data of participants were collected thought a review of medical records and clinical observation at HDUs till either death or discharge alive. Statistical analysis included univariate analysis of selected potential predictors such as various comorbidities, C- reactive protein / Albumin ratio (CAR), Neutrophil-lymphocyte ratio (NLR), Red cell distribution width (RDW), Po2/Fio2 ratio (PFR), Simplified acute physiology score II (SAPS II), Charlson comorbidity index (CCI) and multidrug-resistant Gram-negative bacterial (MDR-GNB) infection to ascertain their association with mortality, followed by multivariable logistic regression to derive the final prediction model. The discriminative ability of the model was evaluated by using the receiver operating characteristic (ROC) curve. RESULTS: Overall mortality was 53.1%. Multivariate regression analysis revealed independent predictors of mortality including dementia in clinical history with an odds ratio (OR) of 4.86 (95% CI: 1.28-18.34), total protein with an OR of .53 (95% CI: .30-.95) and the use of mechanical ventilation (MV) and/or intravenous cardiovascular support with an OR of 148.34 (95% CI: 34.28-641.77), formulating a novel prognostic model with an area under the ROC curve of .93 (95% CI: .89-.96, P.000). CONCLUSION: History of dementia, total protein and the use of MV and/or intravenous cardiovascular support are predictors of mortality in critically ill geriatric patients. It provides a novel prognostic model which needs validation in other multicenter prospective studies.


2020 ◽  
Author(s):  
Yu Kang ◽  
Xiang-Yang Fang ◽  
Dong Wang ◽  
Xiao-Juan Wang

Abstract Background: Community-acquired pneumonia (CAP) and acute myocardial infarction cardiovascular (AMI) are two important health issues in elderly. Little is known regarding characteristics of AMI in elderly hospitalized for CAP. Therefore, we investigated the prevalence, characteristics compared with younger patients, impact on clinical outcomes and risk factors of AMI during hospitalization for CAP in geriatric patients.Methods: 11009 adult inpatients consisted of 5111 elderly patients≥ 65 years and 5898 patients<65 years in respiratory ward and 1095 inpatients ≥65 years in geriatrics ward diagnosed with CAP were retrospectively analyzed by electronic medical records. Results: 159 (3.1%) elderly patients in respiratory ward and 77 (7.0%) patients in geriatrics ward experienced AMI during hospitalization for CAP. AMI were more frequently seen in elderly patients (3.1% vs. 1.0 %), Patients≥65 years who experienced AMI during hospitalization for CAP had higher percentage of respiratory failure (P = 0.001), hypertension (P = 0.008), dyspnea (P=0.046), blood urea nitrogen (BUN)≥7mmol/L (P < 0.001), serum sodium <130 mmol/L(P = 0.005) and had higher in-hospital mortality compared to patients<65 years (10.1% vs. 6.6%). AMI was associated with increased in-hospital mortality (odds ratio, OR, with 95% confidence interval: 1.49 [1.24-1.82]; P<0.01). Respiratory failure (OR, 1.34 [1.15–1.54]; P<0.01), preexisting coronary artery disease (OR, 1.31[1.07–1.59]; P = 0.02), diabetes (OR, 1.26 [1.11–1.42]; P = 0.02), BUN (OR, 1.23 [1.01–1.49]; P = 0.04), and impaired consciousness (OR, 1.19 [1.07–1.32]; P = 0.03) were correlated with the occurrence of AMI in the elderly.Conclusions: The incidence of AMI during CAP hospitalization in geriatric patients is notable and have an impact on in-hospital mortality. Characteristics of the elderly differ from the general population. Particular attention should be paid to elderly patients with risk factors for AMI. Our study may represent useful information for clinical strategies aimed at preventing AMI and decreasing mortality in geriatric patients hospitalization for CAP.


2020 ◽  
Author(s):  
Yu Kang ◽  
Xiang-Yang Fang ◽  
dong wang ◽  
Xiao-juan Wang

Abstract Background: Community-acquired pneumonia (CAP) is an important problem with significant mortality. Activity of daily living (ADL) function decline is associated with increased mortality in elderly patients. We aimed to investigate the prognostic value of ADL at admission on the in-hospital mortality in geriatric patients with pneumonia. Methods: Patients over 65 years old admitted to Beijing Chao-yang hospital due to CAP from June 2012 through June 2020 were retrospectively reviewed by electronic medical records. Risk factors for mortality in pneumonia patients described in literature were included in our study. ADL evaluation at admission was performed by Barthel index (BI). Results: 4880 patients were included, 131 patients (2.7%) died during their admission. 69.5% patients in Dead group had a BI scores < 60. Mean BI score in the Dead group and Alive group were 49.89±30.20 and 81.57±22.14, respectively. Dead group had lower BI scores than Alive group (p<0.001). A low BI was associated with increased in-hospital mortality. Logistic regression analyses demonstrated that ADL function at admission was significantly and independently associated with the in-hospital mortality, either in younger (age 65-74years) or very elderly (age≥75years) patients. Receiver operating characteristic ( ROC ) curve analysis revealed that BI at admission is an predictor related to in-hospital mortality in elderly patients, The area under the receiver operating characteristic (ROC) curves of BI in predicting in-hospital mortality was 0.81 (with 95% confidence interval: 0.78–0.85).Conclusion: ADL decline is associated with increased risk of in-hospital mortality among elderly patients hospitalized with CAP. ADL function at admission can predict in-hospital mortality in geriatric patients with CAP. Barthel Index (BI) can be used as a simple and convenient method for the assessment of the ADL functional status at admission in geriatric patients with CAP to identify patients at high risk and conducive to clinical decision making.


2018 ◽  
Vol 26 (6) ◽  
pp. 336-342
Author(s):  
Khai Yen Lim ◽  
Nik Hisamuddin Nik Ab Rahman

Background: The world population is experiencing ageing and this phenomenon certainly gives significant impact to the social, economic as well as health care services globally. Objectives: This study aimed to determine the prevalence of geriatric patients treated in critical zone in an emergency department of a teaching hospital and the factors associated with special care units admission and in-hospital mortality. Methods: A single-centre prospective cross-sectional study was carried out from 1 January 2016 to 31 December 2016 at the Emergency Department Hospital at Universiti Sains Malaysia, Malaysia. All patients aged 60 years and above were included. Systematic random sampling was used. Variables were analysed using simple and multiple logistic regressions. Results: The total number of patients included in this study was 328, 55.8% were male and the mean age was 70.6 (standard deviation: 7.5) years. The commonly presenting diseases in this study were cardiovascular (31.4%), infectious (29.6%), neurological (14.9%) and respiratory (12.5%). Out of the 328 patients studied, 187 (57.0%) were admitted to general wards and 110 (33.5%) to special care units. A total of 55 patients (16.8%) succumbed within the period of in-hospital treatment. The factors associated with special care units admission were the usage of non-invasive ventilation and the administration of inotropic support. The factors associated with in-hospital mortality were blood urea level, serum albumin level and the application of mechanical ventilation. Conclusion: Geriatric patients who presented to emergency department requiring ventilator and inotropic support had been observed to exhibit worse outcome. The associated factors for special care units admission and in-hospital mortality had been identified, and this will enable better settings cater to the needs for critically ill geriatric patients.


2021 ◽  
Vol 10 (7) ◽  
pp. 1362
Author(s):  
Julian Scherer ◽  
Yannik Kalbas ◽  
Franziska Ziegenhain ◽  
Valentin Neuhaus ◽  
Rolf Lefering ◽  
...  

Feasible and predictive scoring systems for severely injured geriatric patients are lacking. Therefore, the aim of this study was to develop a scoring system for the prediction of in-hospital mortality in severely injured geriatric trauma patients. The TraumaRegister DGU® (TR-DGU) was utilized. European geriatric patients (≥65 years) admitted between 2008 and 2017 were included. Relevant patient variables were implemented in the GERtality score. By conducting a receiver operating characteristic (ROC) analysis, a comparison with the Geriatric Trauma Outcome Score (GTOS) and the Revised Injury Severity Classification II (RISC-II) Score was performed. A total of 58,055 geriatric trauma patients (mean age: 77 years) were included. Univariable analysis led to the following variables: age ≥ 80 years, need for packed red blood cells (PRBC) transfusion prior to intensive care unit (ICU), American Society of Anesthesiologists (ASA) score ≥ 3, Glasgow Coma Scale (GCS) ≤ 13, Abbreviated Injury Scale (AIS) in any body region ≥ 4. The maximum GERtality score was 5 points. A mortality rate of 72.4% was calculated in patients with the maximum GERtality score. Mortality rates of 65.1 and 47.5% were encountered in patients with GERtality scores of 4 and 3 points, respectively. The area under the curve (AUC) of the novel GERtality score was 0.803 (GTOS: 0.784; RISC-II: 0.879). The novel GERtality score is a simple and feasible score that enables an adequate prediction of the probability of mortality in polytraumatized geriatric patients by using only five specific parameters.


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