Beyond Chronological Age: Frailty and Multimorbidity Predict In-Hospital Mortality in Patients With COVID-19

Abstract Background We evaluated whether frailty and multimorbidity predict in-hospital mortality in patients with COVID-19 beyond chronological age. Methods 165 patients admitted from March 8th to April 17th, 2020, with COVID-19 in an acute geriatric ward in Italy were included. Pre-disease frailty was assessed with the Clinical Frailty Scale (CFS). Multimorbidity was defined as the co-occurrence of ≥2 of these in the same patient. The hazard (HR) of in-hospital mortality as a function of CFS score and number of chronic diseases in the whole population and in those aged 70+ years were calculated. Results: Among the 165 patients, 112 were discharged, 11 were transferred to intensive care units and 42 died. Patients who died were older (81.0 vs. 65.2 years, p<0.001), more frequently multimorbid (97.6 vs. 52.8%; p<0.001) and more likely frail (37.5 vs. 4.1%; p<0.001). Less than 2.0% of patients without multimorbidity and frailty, 28% of those with multimorbidity only and 75% of those with both multimorbidity and frailty died. Each unitary increment in the CFS was associated with a higher risk of in-hospital death in the whole sample (HR=1.3; 95%CI=1.05-1.62) and in patients aged 70+ years (HR=1.29;95%CI=1.04-1.62), whereas the number of chronic diseases was not significantly associated with higher risk of death. The CFS addition to age and sex increased mortality prediction by 9.4% in those aged 70+ years. Conclusions Frailty identifies patients with COVID-19 at risk of in-hospital death independently of age. Multimorbidity contributes to prognosis because of the very low probability of death in its absence.

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Beyond Chronological Age: Frailty and Multimorbidity Predict In-Hospital Mortality in Patients With Coronavirus Disease 2019

The Journals of Gerontology Series A ◽

10.1093/gerona/glaa291 ◽

2020 ◽

Author(s):

Alessandra Marengoni ◽

Alberto Zucchelli ◽

Davide Liborio Vetrano ◽

Andrea Armellini ◽

Emanuele Botteri ◽

...

Keyword(s):

Hospital Mortality ◽

Chronic Diseases ◽

Mortality Prediction ◽

Chronological Age ◽

Hospital Death ◽

Clinical Frailty Scale ◽

Risk Of Death ◽

Acute Geriatric Ward ◽

Probability Of Death ◽

Low Probability

Abstract Background We evaluated whether frailty and multimorbidity predict in-hospital mortality in patients with COVID-19 beyond chronological age. Method A total of 165 patients admitted from March 8th to April 17th, 2020, with COVID-19 in an acute geriatric ward in Italy were included. Predisease frailty was assessed with the Clinical Frailty Scale (CFS). Multimorbidity was defined as the co-occurrence of ≥2 diseases in the same patient. The hazard ratio (HR) of in-hospital mortality as a function of CFS score and number of chronic diseases in the whole population and in those aged 70+ years were calculated. Results Among the 165 patients, 112 were discharged, 11 were transferred to intensive care units, and 42 died. Patients who died were older (81.0 vs 65.2 years, p < .001), more frequently multimorbid (97.6 vs 52.8%; p < .001), and more likely frail (37.5 vs 4.1%; p < .001). Less than 2.0% of patients without multimorbidity and frailty, 28% of those with multimorbidity only, and 75% of those with both multimorbidity and frailty died. Each unitary increment in the CFS was associated with a higher risk of in-hospital death in the whole sample (HR = 1.3; 95% CI = 1.05–1.62) and in patients aged 70+ years (HR = 1.29; 95% CI = 1.04–1.62), whereas the number of chronic diseases was not significantly associated with higher risk of death. The CFS addition to age and sex increased mortality prediction by 9.4% in those aged 70+ years. Conclusions Frailty identifies patients with COVID-19 at risk of in-hospital death independently of age. Multimorbidity contributes to prognosis because of the very low probability of death in its absence.

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Mortality and high risk of major adverse events in patients with COVID-19 and history of cardiovascular disease

Open Heart ◽

10.1136/openhrt-2020-001526 ◽

2021 ◽

Vol 8 (1) ◽

pp. e001526

Author(s):

Elena Tessitore ◽

David Carballo ◽

Antoine Poncet ◽

Nils Perrin ◽

Cedric Follonier ◽

...

Keyword(s):

Hospital Mortality ◽

Male Gender ◽

Hospital Death ◽

Chronic Obstructive ◽

University Hospitals ◽

Adverse Cardiovascular Event ◽

Risk Of Death ◽

Hospitalised Patients ◽

Increased Risk ◽

History Of

ObjectiveHistory of cardiovascular diseases (CVDs) may influence the prognosis of patients hospitalised for COVID-19. We investigated whether patients with previous CVD have increased risk of death and major adverse cardiovascular event (MACE) when hospitalised for COVID-19.MethodsWe included 839 patients with COVID-19 hospitalised at the University Hospitals of Geneva. Demographic characteristics, medical history, laboratory values, ECG at admission and medications at admission were collected based on electronic medical records. The primary outcome was a composite of in-hospital mortality or MACE.ResultsMedian age was 67 years, 453 (54%) were males and 277 (33%) had history of CVD. In total, 152 (18%) died and 687 (82%) were discharged, including 72 (9%) who survived a MACE. Patients with previous CVD were more at risk of composite outcomes 141/277 (51%) compared with those without CVD 83/562 (15%) (OR=6.0 (95% CI 4.3 to 8.4), p<0.001). Multivariate analyses showed that history of CVD remained an independent risk factor of in-hospital death or MACE (OR=2.4; (95% CI 1.6 to 3.5)), as did age (OR for a 10-year increase=2.2 (95% CI 1.9 to 2.6)), male gender (OR=1.6 (95% CI 1.1 to 2.3)), chronic obstructive pulmonary disease (OR=2.1 (95% CI 1.0 to 4.2)) and lung infiltration associated with COVID-19 at CT scan (OR=1.9 (95% CI 1.2 to 3.0)). History of CVD (OR=2.9 (95% CI 1.7 to 5)), age (OR=2.5 (95% CI 2.0 to 3.2)), male gender (OR=1.6 (95% CI 0.98 to 2.6)) and elevated C reactive protein (CRP) levels on admission (OR for a 10 mg/L increase=1.1 (95% CI 1.1 to 1.2)) were independent risk factors for mortality.ConclusionHistory of CVD is associated with higher in-hospital mortality and MACE in hospitalised patients with COVID-19. Other factors associated with higher in-hospital mortality are older age, male sex and elevated CRP on admission.

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Hemogram as marker of in-hospital mortality in COVID-19

Journal of Investigative Medicine ◽

10.1136/jim-2021-001810 ◽

2021 ◽

pp. jim-2021-001810

Author(s):

Alejandro López-Escobar ◽

Rodrigo Madurga ◽

José María Castellano ◽

Santiago Ruiz de Aguiar ◽

Sara Velázquez ◽

...

Keyword(s):

Hospital Mortality ◽

Hospital Admission ◽

White Blood Cells ◽

Rate Of Change ◽

Hospital Death ◽

Direct Role ◽

Lymphocyte Ratio ◽

Risk Of Death ◽

Rate Of Increase ◽

Increased Risk

The clinical impact of COVID-19 disease calls for the identification of routine variables to identify patients at increased risk of death. Current understanding of moderate-to-severe COVID-19 pathophysiology points toward an underlying cytokine release driving a hyperinflammatory and procoagulant state. In this scenario, white blood cells and platelets play a direct role as effectors of such inflammation and thrombotic response. We investigate whether hemogram-derived ratios such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio and the systemic immune-inflammation index may help to identify patients at risk of fatal outcomes. Activated platelets and neutrophils may be playing a decisive role during the thromboinflammatory phase of COVID-19 so, in addition, we introduce and validate a novel marker, the neutrophil-to-platelet ratio (NPR).Two thousand and eighty-eight hospitalized patients with COVID-19 admitted at any of the hospitals of HM Hospitales group in Spain, from March 1 to June 10, 2020, were categorized according to the primary outcome of in-hospital death.Baseline values, as well as the rate of increase of the four ratios analyzed were significantly higher at hospital admission in patients who died than in those who were discharged (p<0.0001). In multivariable logistic regression models, NLR (OR 1.05; 95% CI 1.02 to 1.08, p=0.00035) and NPR (OR 1.23; 95% CI 1.12 to 1.36, p<0.0001) were significantly and independently associated with in-hospital mortality.According to our results, hemogram-derived ratios obtained at hospital admission, as well as the rate of change during hospitalization, may easily detect, primarily using NLR and the novel NPR, patients with COVID-19 at high risk of in-hospital mortality.

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Characteristics and Outcomes of Frail Patients with COVID-19 Admitted to ICU: An Individual Patient Data Meta-Analysis

10.21203/rs.3.rs-910468/v1 ◽

2021 ◽

Author(s):

Ashwin Subramaniam ◽

Christopher Anstey ◽

J Randall Curtis ◽

Sushma Ashwin ◽

Mallikarjuna PONNAPA REDDY ◽

...

Keyword(s):

Hospital Mortality ◽

Clinical Decision Making ◽

Individual Patient Data ◽

Meta Analysis ◽

Multivariable Analysis ◽

Patient Data ◽

Clinical Frailty Scale ◽

Risk Of Death ◽

Frail Patients ◽

Bed Days

Abstract Purpose: Frailty is often used in clinical decision-making for patients with COVID-19, yet studies have found variable influence of frailty on outcomes in those admitted to the intensive care unit (ICU). In this individual patient data meta-analysis, we evaluated the characteristics, and outcomes of frail patients admitted to ICU with COVID-19.Methods: We contacted the corresponding authors of sixteen eligible studies published between December 1st 2019 and February 28th 2021 reporting the clinical frailty scale (CFS) in patients with confirmed COVID-19 admitted to ICU. Individual patient data was obtained from 7 studies. We classified patients as non-frail (CFS=1-4) or frail (CFS=5-8). The primary outcome was hospital mortality. We also compared the use of mechanical ventilation (MV) and the proportion of ICU bed-days between frailty categories. Results: Of the 2001 patients admitted to ICU, 388 (19.4%) were frail. Increasing age and sequential organ failure assessment (SOFA) score, CFS ≥4, use of MV, vasopressors, renal replacement therapy and hyperlactatemia were risk factors for death in a multivariable analysis. Hospital mortality was higher in frail patients (65.2% vs. 41.8%; p<0.001), with adjusted mortality increasing with a rising CFS score beyond 3. Younger and non-frail patients were more likely to receive MV. Frail patients spent less time on MV (median days [IQR] 9 [5-16] vs. 11 [6-18]; p=0.012) and accounted for only 12.3% of total ICU bed-days. Conclusion: Frail patients with COVID-19 were commonly admitted to ICU and had greater hospital mortality but spent relatively fewer days in ICU when compared with non-frail patients. Frail patients receiving MV were at greater risk of death than non-frail patients. Systematic review registration: Registration protocol in PROSPERO (CRD42020224255).

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Hospital mortality in hematogenous vertebral osteomyelitis

Hirurgiâ pozvonočnika ◽

10.14531/ss2021.3.86-93 ◽

2021 ◽

Vol 18 (3) ◽

pp. 86-93

Author(s):

A. Yu. Bazarov ◽

K. S. Sergeyev ◽

A. O. Faryon ◽

R. V. Paskov ◽

I. A. Lebedev

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Hospital Mortality ◽

Medical Records ◽

Vertebral Osteomyelitis ◽

Hospital Death ◽

Factors Affecting ◽

Comorbidity Index ◽

Probability Of Death ◽

Type C

Objective. To analyze lethal outcomes in patients with hematogenous vertebral osteomyelitis.Material and Methods. Study design: retrospective analysis of medical records. A total of 209 medical records of inpatients who underwent treatment for hematogenous vertebral osteomyelitis in 2006–2017 were analyzed. Out of them 68 patients (32.5 %) were treated conservatively, and 141 (67.5 %) – surgically. The risk factors for lethal outcomes were studied for various methods of treatment, and a statistical analysis was performed.Results. Hospital mortality (n = 9) was 4.3 %. In patients who died in hospital, average time for diagnosis making was 4 times less (p = 0.092). The main factors affecting mortality were diabetes mellitus (p = 0.033), type C lesion according to the Pola classification (p = 0.014) and age over 70 years (p = 0.006). To assess the relationship between hospital mortality and the revealed differences between the groups, a regression analysis was performed, which showed that factors associated with mortality were Pola type C.4 lesions (OR 9.73; 95 % CI 1.75–54.20), diabetes mellitus (OR 5.86; 95 % CI 1.14–30.15) and age over 70 years (OR 12.58; 95 % CI 2.50–63.34). The combination of these factors increased the likelihood of hospital mortality (p = 0.001). Sensitivity (77.8 %) and specificity (84.2 %) were calculated using the ROC curve. In the group with mortality, the comorbidity index (CCI) was significantly higher (≥4) than in the group without mortality (p = 0.002). With a CCI of 4 or more, the probability of hospital death increases significantly (OR 10.23; 95 % CI 2.06–50.82), p = 0.005. Long-term mortality was 4.3 % (n = 9), in 77.8 % of cases the cause was acute cardiovascular pathology, and no recurrence of vertebral osteomyelitis was detected.Conclusion. Hospital mortality was 4.3 %, and there was no mortality among patients treated conservatively. The main risk factors were diabetes mellitus, type C lesion according to Pola and age over 70 years. There was a significant mutual burdening of these factors (p = 0.001). With CCI ≥4, the probability of death is higher (p = 0.005).

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Renal dysfunction in patients with pulmonary embolism: data from the SIRENA register

Russian Journal of Cardiology ◽

10.15829/1560-4071-2021-4422 ◽

2021 ◽

Vol 26 (2S) ◽

pp. 4422

Author(s):

M. V. Menzorov ◽

V. V. Filimonova ◽

A. D. Erlikh ◽

O. L. Barbarash ◽

S. A. Berns ◽

...

Keyword(s):

Pulmonary Embolism ◽

High Risk ◽

Risk Stratification ◽

Hospital Mortality ◽

Renal Dysfunction ◽

Cox Regression ◽

Russian Population ◽

Hospital Death ◽

Death Risk ◽

Risk Of Death

Aim. To assess the prevalence, severity and prognostic value of renal dysfunction (RD) in patients with pulmonary embolism (PE) of the Russian population, as well as to determine the RD significance as a marker that improves the predictive ability of current risk stratification systems.Material and methods. From April 2018 to April 2019, patients hospitalized due to PE were sequentially included in the Russian multicenter observational prospective registry SIRENA. RD was diagnosed at a glomerular filtration rate (GFR) <60 ml/ min/1,73 m2. Risk of early (hospital or 30-day) death was stratified in accordance with the current 2019 ESC Clinical Guidelines. During the study, we analyzed inpatient mortality and complication rate.Results. A total of 604 patients (men, 293 (49%); women, 311 (51%)) were in the study. RD was detected in 320 (53%) patients, while severe dysfunction — in 63 (10%) ones. In addition, 71 (12%) patients had high death risk, 364 (61%) — intermediate, 164 (27%) — low. During hospitalization, 107 (18%) patients died, including 32% from the high-risk group, 20% — moderate, and 7% — low. RD in the deceased patients was diagnosed more often, while GFR <50 ml/min/1,73 m2 reliably predicted hospital mortality (sensitivity, 67%; specificity, 72%; AUC=0,72; p<0,001). In patients with simplified Pulmonary Embolism Severity Index (sPESI) of 0 and ≥ 1, the presence of RD led to at least a 2-fold increase in mortality. Multivariate Cox regression revealed that RD is a predictor of in-hospital mortality (hazard ratio (HR), 3,41; 95% confidence interval (CI): 2,15-5,41; p<0,001), regardless of the presence of death risk reclassifies, such as high troponin (HR, 1,31; 95% CI: 0,80-2,14; p=0,28) and right ventricular dysfunction (HR, 1,23; 95% CI: 0,74-2,04; p=0,42).Conclusion. In patients with PE of the Russian population, there is a high incidence of RD, which is diagnosed in every second patient and is severe in 10% of cases. The presence of RD is associated with a significant increase in in-hospital mortality, while the risk of death increases with a decrease in GFR. The addition of RD, considered as a decrease in the estimated GFR <60 ml/min/1,73 m2, to the sPESI improves risk stratification and allows identification of patients at high risk of in-hospital death.

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In-Hospital Mortality in Non-COVID-19-Related Diseases before and during the Pandemic: A Regional Retrospective Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182010886 ◽

2021 ◽

Vol 18 (20) ◽

pp. 10886

Author(s):

Nicola Bartolomeo ◽

Massimo Giotta ◽

Paolo Trerotoli

Keyword(s):

Public Health ◽

Hospital Mortality ◽

Hospital Death ◽

Age Group ◽

Multivariable Logistic Regression Model ◽

Public And Private ◽

Risk Of Death ◽

Hospitalization Period ◽

Public And Private Hospitals ◽

Group Sex

Italy was one of the nations most affected by SARS-CoV-2. During the pandemic period, the national government approved some restrictions to reduce diffusion of the virus. We aimed to evaluate changes in in-hospital mortality and its possible relation with patient comorbidities and different restrictive public health measures adopted during the 2020 pandemic period. We analyzed the hospital discharge records of inpatients from public and private hospitals in Apulia (Southern Italy) from 1 January 2019 to 31 December 2020. The study period was divided into four phases according to administrative restriction. The possible association between in-hospital deaths, hospitalization period, and covariates such as age group, sex, Charlson comorbidity index (CCI) class, and length of hospitalization stay (LoS) class was evaluated using a multivariable logistic regression model. The risk of death was slightly higher in men than in women (OR 1.04, 95% CI: 1.01–1.07) and was lower for every age group below the >75 years age group. The risk of in-hospital death was lower for hospitalizations with a lower CCI score. In summary, our analysis shows a possible association between in-hospital mortality in non-COVID-19-related diseases and restrictive measures of public health. The risk of hospital death increased during the lockdown period.

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An Epidemiological Analysis of Head Injuries in Taiwan

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15112457 ◽

2018 ◽

Vol 15 (11) ◽

pp. 2457 ◽

Cited By ~ 6

Author(s):

I-Lin Hsu ◽

Chung-Yi Li ◽

Da-Chen Chu ◽

Li-Chien Chien

Keyword(s):

Risk Factors ◽

Head Injury ◽

Mortality Rate ◽

Hospital Mortality ◽

Rural Area ◽

Head Injuries ◽

Hospital Death ◽

National Health Insurance System ◽

Risk Of Death ◽

Acute Head Injury

Traumatic head injuries occur frequently in Taiwan, having catastrophic consequences for the victims, their families, and society as a whole. However, little is known about the risk factors at the population level in Taiwan. The primary aim of this study was to obtain more information on these variables and their relationships. Another aim was to analyze the effects of independent variables such as sex, age, residency, pre-existing conditions, mechanisms of injury, associated injuries, and severity on the probability of in-hospital death. Using the 2007–2008 total admissions claim dataset from Taiwan’s National Health Insurance system, total admissions due to acute head injury were selected for further analysis. The obtained data included patient demographics and trauma hospitalization rate. A total of 99,391 patients were admitted with head injury, 48,792 of which had moderate-to-severe head injury. There were 4935 cases recorded as in-hospital mortality and the standardized in-hospital mortality rate was 10.7 deaths per 100,000 person-years. The mortality rate increased with age. After adjustments, male sex, age older than 54 years, living in a rural area, lower monthly income, a Charlson comorbidity index greater than one, being a pedestrian hit by a motor vehicle, fall from a height, and having significant chest, abdominal, or lower extremity injury increased the risk of death during admission. This population-based analysis provides information about the incidence rate and death rate for admissions in Taiwan due to acute head injury and the factors that affect in-hospital mortality. Our results that highlight the risk factors for adverse outcome can help us prevent or improve rural area trauma care of head injury patients in the future.

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High hemoglobin is associated with increased in-hospital death in patients with chronic obstructive pulmonary disease and chronic kidney disease: a retrospective multicenter population-based study

BMC Pulmonary Medicine ◽

10.1186/s12890-019-0933-4 ◽

2019 ◽

Vol 19 (1) ◽

Author(s):

Libin Xu ◽

◽

Yuanhan Chen ◽

Zhen Xie ◽

Qiang He ◽

...

Keyword(s):

Chronic Obstructive Pulmonary Disease ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Hospital Mortality ◽

Population Based ◽

Hospital Death ◽

Chronic Obstructive ◽

Obstructive Pulmonary Disease ◽

Risk Of Death ◽

Increased Risk

Abstract Background Chronic kidney disease (CKD) is a common comorbidity of chronic obstructive pulmonary disease (COPD). Although high hemoglobin (Hb) is detrimental to CKD patients, its relationship with poor outcomes in the COPD population has not been reported. This study aimed to investigate the relationship between high Hb and in-hospital mortality and to explore reference Hb intervals in patients with COPD and CKD. Methods This retrospective study was multicenter population-based. A total of 47,209 patients who presented with COPD between January 2012 and December 2016 were included. The average Hb level during hospitalization was used as the Hb level. CKD and advanced CKD were defined as estimated glomerular filtration rates < 60 and < 30 ml/min/1.73 m2, respectively. The association between Hb level (measured in 1 g/dL intervals) and in-hospital mortality was analyzed in different multivariable logistic regression models by CKD stratification. Results The Hb level was decreased in the CKD subgroup. In the non-CKD group, a higher Hb level was not associated with an increased risk of in-hospital death. However, the Hb level and mortality showed a U-shaped relationship in the CKD group. After adjusting for age and Charlson Comorbidity Index, multivariable regression analysis showed that an Hb level > 17 g/dL was associated with an increased risk of death in the CKD group with an odds ratio (OR) of 2.085 (95% CI, 1.019–4.264). Hb > 14 g/dL was related to an increased risk of death in advanced CKD patients (OR, 4.579 (95% CI, 1.243–16.866)). Conclusions High Hb is associated with an increased risk of in-hospital death in COPD patients with CKD, especially among those with advanced CKD. In this group of patients, attention should be paid to those with high Hb levels.

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The impact of delirium on outcomes for older adults hospitalised with COVID-19

Age and Ageing ◽

10.1093/ageing/afaa189 ◽

2020 ◽

Vol 49 (6) ◽

pp. 923-926 ◽

Cited By ~ 6

Author(s):

Alessandra Marengoni ◽

Alberto Zucchelli ◽

Giulia Grande ◽

Laura Fratiglioni ◽

Debora Rizzuto

Keyword(s):

Hospital Mortality ◽

Direct Effect ◽

Older Patients ◽

Total Sample ◽

Prognostic Indicator ◽

Multivariate Logistic Regression Model ◽

Clinical Frailty Scale ◽

Acute Geriatric Ward ◽

The Central Nervous System ◽

The Impact

Abstract Introduction Delirium is a frequent condition in hospitalized older patients and it usually has a negative prognostic value. A direct effect of SARS-COV-2 on the central nervous system (CNS) has been hypothesized. Objective To evaluate the presence of delirium in older patients admitted for a suspected diagnosis of COVID-19 and its impact on in-hospital mortality. Setting and subjects 91 patients, aged 70-years and older, admitted to an acute geriatric ward in Northern Italy from March 8th to April 17th, 2020. Methods COVID-19 cases were confirmed by reverse transcriptase-polymerase chain reaction assay for SARS-Cov-2 RNA from nasal and pharyngeal swabs. Delirium was diagnosed by two geriatricians according to the Diagnostic and Statistical Manual of Mental Disorders V (DMS V) criteria. The number of chronic diseases was calculated among a pre-defined list of 60. The pre-disease Clinical Frailty Scale (CFS) was assessed at hospital admission. Results Of the total sample, 39 patients died, 49 were discharged and 3 were transferred to ICU. Twenty-five patients (27.5%) had delirium. Seventy-two percent of patients with delirium died during hospitalization compared to 31.8% of those without delirium. In a multivariate logistic regression model adjusted for potential confounders, patients with delirium were four times more likely to die during hospital stay compared to those without delirium (OR = 3.98;95%CI = 1.05–17.28; p = 0.047). Conclusions Delirium is common in older patients with COVID-19 and strongly associated with in-hospital mortality. Regardless of causation, either due to a direct effect of SARS-COV-2 on the CNS or to a multifactorial cause, delirium should be interpreted as an alarming prognostic indicator in older people.

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