Clinical profile and predictors of in-hospital mortality among older patients hospitalised for COVID-19

Becerra-Muñoz, Víctor Manuel; Núñez‐Gil, Iván J.; Eid, Charbel Maroun; Aguado, Marcos Garcı́a; Romero, Rodolfo; Huang, Jia; Mulet, Alba; Ugo, Fabrizio; Rametta, Francesco; Liebetrau, Christoph; Alonso, Álvaro; Fernández-Rozas, Inmaculada; Viana-Llamas, María C; Feltes, Gisela; Pepe, Martino; Moreno-Rondón, Luis A; Cerrato, Enrico; Raposeiras‐Roubín, Sergio; Alfonso, Emilio; Carrero-Fernández, Ana; Buzón-Martín, Luis; Abumayyaleh, Mohammad; González, Adelina; Ortiz, Antonio Fernández; Macaya, Carlos; Estrada, Vicente; Fernández-Pérez, Cristina; Gómez‐Doblas, Juan José

doi:10.1093/ageing/afaa258

Cited by 95 publications

(120 citation statements)

References 21 publications

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“…While, 33.3% of patients above 60 years were deceased (p= 0.034). Our results were comparable to the reported mortality rates (11.7% and 54.2%) for age groups between 65-69 years and above 80 years, respectively [6]. In a Spanish study [4] assessing the association between age and mortality, 95.3% of deceased COVID-19 patients aged 60 years and above, ( p =0.006).…”

Section: Discussionsupporting

confidence: 87%

“…The mortality rate across countries had ranged from 1% up to more than 10% [4] and it is underestimated in some countries [5]. Advanced age is the most frequently reported factor associated to mortality [4, 6]. Hence focus was applied for older population [6].…”

Section: Introductionmentioning

confidence: 99%

“…Advanced age is the most frequently reported factor associated to mortality [4, 6]. Hence focus was applied for older population [6]. Other factors were the presence of comorbidities such as diabetes mellitus (DM), hypertension (HTN) and obesity [2].…”

Section: Introductionmentioning

confidence: 99%

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Prediction of COVID-19 mortality among hospitalized patients in Sudan

El‐Raheem

Yousif²,

Mohamed³

2021

Preprint

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Background: COVID-19 was primarily reported in China. The mortality rate across countries had ranged from 1% up to more than 10% and it is underestimated in some countries. Advanced age is the most frequently reported factor associated to mortality. Other factors were the presence of comorbidities such as diabetes mellitus, hypertension and obesity. Several models for mortality prediction had been developed to assist in improving the prognosis. The aim of our study was to assess the factors related to mortality among COVID-19 patients and develop a prediction model based on these factors. Methods: A retrospective cohort study assessed the factors related to the mortality among COVID-19 patients who attended Imperial Hospital isolation centre on November- December, 2020, Khartoum, Sudan. Statistical tests performed were chi-square test, odds ratio and regression to develop the prediction model. Tests were considered statistically significant when p < 0.05. Results: 105 patients were studied. 29% of the patients were deceased, while, 71% were discharged alive. A statistically significant association was found between the age and severity with regards to mortality rate (p=0.034, 0.018 respectively). The model equation for mortality prediction: Mortality = -14.724+ (1.387* Age) + (-0.323* Gender) + (1.814* Admission) + ( 0.193* Ischemic Heart Disease) + ( -0.369* Fever) + ( 1.595* Cough) + ( 1.953* Complications) + ( 0.149* Duration of hospitalization) + ( 0.999* Enoxaparin dose). Conclusions: Age, admission ward, cough and enoxaparin dose were statistically significant predictors for COVID-19 mortality ( p= 0.014, 0.011, 0.015, 0.006 respectively).

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

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Prediction of COVID-19 mortality among hospitalized patients in Sudan

El‐Raheem

Yousif²,

Mohamed³

2021

Preprint

View full text Add to dashboard Cite

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“…COVID-19 pandemic is posing an outstanding challenge on health care systems worldwide, and the number of affected patients and deaths is still on the rise. Older people, and those with comorbidities, are at greater risk of requiring hospitalization or dying if they are diagnosed with COVID-19( Wu & McGoogan, 2020 ; Becerra-Muñoz et al 2020 ). Indeed, in older patients with COVID-19 emerged that not only the severity of COVID-19-related pneumonia or impairment of respiratory function, but also frailty and vulnerability are crucial determinant of poor prognosis ( Aliberti et al 2021 ; Hwang et al 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Predictors of in-hospital mortality AND death RISK STRATIFICATION among COVID-19 PATIENTS aged ≥ 80 YEARs OLD

Covino

Matteis

Polla

et al. 2021

Archives of Gerontology and Geriatrics

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Introduction : To date, mainly due to age-related vulnerability and to coexisting comorbidities, older patients often face a more severe COVID-19. This study aimed to identify at Emergency Department (ED) admission the predictors of in-hospital mortality and suitable scores for death risk stratification among COVID-19 patients ≥ 80 years old. Methods : Single-centre prospective study conducted in the ED of an university hospital, referral center for COVID-19 in central Italy. We included 239 consecutive patients ≥ 80 years old with laboratory-confirmed COVID-19. The primary study endpoint was all-cause in-hospital mortality. Multivariable Cox regression analysis was performed on significant variables at univariate analysis to identify independent risk factor for death. Overall performance in predicting mortality of WHO severity scale, APACHE II score, NEWS score, and CURB-65 was calculated. Results : Median age was 85 [82-89] and 112 were males (46.9%). Globally, 77 patients (32.2%) deceased. The presence of consolidations at chest x-ray and the hypoxemic respiratory failure were significant predictors of poor prognosis. Moreover, age ≥ 85 years, dependency in activities of daily living (ADL), and dementia were risk factors for death, even after adjusting for clinical covariates and disease severity. All the evaluated scores showed a fairly good predictive value in identifying patients who could experience a worse outcome. Conclusions : Among patients ≥ 80 years old hospitalized with COVID-19, not only a worse clinical and radiological presentation of the disease, but also the increasing age, dementia, and impairment in ADL were strong risk factors for in-hospital death, regardless of disease severity.

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“…At present, a few studies had discussed the prognosis of elderly COVID-19 patients [6,7,21]. This study found that increased age, LDH, procalcitonin levels, and qSOFA scores and reduced lymphocyte were predictors of death.…”

Section: Discussionmentioning

confidence: 93%

Clinical characteristics and prognostic factors in elderly patients with COVID-19

Cheng

Liao

Lin

et al. 2020

Preprint

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Background: The COVID-19 pandemic posed tremendous threats to the world. Elderly patients were among the high-risk population, and apt to experience worse outcomes.Methods: Elderly patients (age ≥60 years old) were enrolled from January 28 to February 29, 2020, in Tongji Hospital, one of designated COVID-19 medical centers in Wuhan, China. A retrospective study was performed to describe clinical characteristics and outcomes of elderly COVID-19 patients. COX regression was used to analyze predictors for 28-day mortality. Linear regression models were constructed to analyze factors associated with length of hospital stay (LOS).Result: A total of 186 elderly patients (aged 70.4 ± 7.1 years, 95 males (51.6%)) were enrolled, 120 patients (64.5%) were severe or critical type, and mortality rate was 16.1%. Patients in non-survival group had a higher smoking rate, more symptoms of dyspnea, lab results indicative of poorer health. Age (HR 1.128, 95% CI 1.066-1.194), lymphocyte count (HR 0.261, 95% CI 0.073-0.930), LDH (HR 1.003, 95% CI 1.002-1.005), procalcitonin (HR 1.061, 95% CI 1.002-1.125), and qSOFA (HR 3.162, 95% CI 1.646-6.072) were independently associated with 28-day mortality. CURB-65 plus LDH on admission were predictors of mortality by ROC analysis (AUROC=0.891). Among surviving patients, consolidation on CTs, elevated ferritin level and neutrophil count were associated with increased LOS.Conclusion: High incidence of comorbidities and mortality were observed in elderly patients. Decreased lymphocyte, older age, higher qSOFA score, procalcitonin and LDH levels were independent factors associated with mortality, CURB-65 plus LDH could be a predictive model of fatal outcome. Consolidation on CTs, elevated ferritin and neutrophil level correlated with increased LOS. Further prospective studies should be performed to test our findings and explore potential treatments.

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Clinical profile and predictors of in-hospital mortality among older patients hospitalised for COVID-19

Cited by 95 publications

References 21 publications

Prediction of COVID-19 mortality among hospitalized patients in Sudan

Prediction of COVID-19 mortality among hospitalized patients in Sudan

Predictors of in-hospital mortality AND death RISK STRATIFICATION among COVID-19 PATIENTS aged ≥ 80 YEARs OLD

Clinical characteristics and prognostic factors in elderly patients with COVID-19

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