In-hospital Mortality In Older Patients Research Articles

Risk factors for in-hospital mortality in older patients with acute respiratory distress syndrome due to COVID-19: a retrospective cohort study

BackgroundAdvancing age is associated with an increase in mortality among patients with acute respiratory distress syndrome (ARDS) due to coronavirus disease 2019 (COVID-19). This study aimed to determine risk factors for in-hospital mortality in patients over 60 years old with COVID-19-related ARDS (C-ARDS).MethodsThis was an observational, analytical, retrospective study conducted on a cohort that included all patients aged 60 years or older diagnosed with COVID-ARDSwho were admitted to a high-complexity hospital in Bogotá, Colombia, between March 2020 and July 2021.ResultsA total of 1563 patients were included in the analysis, with a median age of 73 years (interquartile range [IQR]: 67–80) and 811 deaths (51.8%). Independent risk factors for in-hospital mortality were identified as follows: patients aged 71–80 [OR 1.87 (95% CI 1.33–2.64)], age > 80 [OR 8.74 (95% CI 5.34–14.31)], lactate dehydrogenase (LDH) [OR 1.009 (95% CI 1.003–1.0015)], severe C-ARDS [OR 2.16 (95% CI 1.50–3.11)], use of invasive mechanical ventilation (IMV) [OR 12.94 (95% CI 9.52–17.60)], and use of steroids [OR 1.49 (95% CI 1.09–2.03)]. In patients over 80 years of age (n = 388), the primary risk factor associated with in-hospital mortality was the use of IMV (n = 76) [OR 6.26 (95% CI 2.67–14.69)], resulting in an in-hospital mortality rate of 89.4% (n = 68) when this therapy was implemented.ConclusionsThe primary risk factors for in-hospital mortality in patients older than 60 years were age, the use of IMV, the severity of C-ARDS, use of steroids and elevated LDH values. Among patients older than 80 years, the main risk factor for in-hospital mortality was the use of IMV. In cases of C-ARDS in older patients, the decision to initiate IMV should always be individualized; therefore, the use of alternative oxygen delivery systems as the first-line approach can be considered.

Screening Oropharyngeal Dysphagia in Older Adults

This study investigated the use of the Eating Assessment Tool 10 (EAT-10) in predicting clinical outcomes in older adults hospitalized with COVID-19 infections between February and June 2021. The EAT-10 was performed for all patients. Thirty one percent and 23% of the 153 patients had oropharyngeal dysphagia risk and in-hospital mortality, respectively. Older age (hazard ratio: 1.08; 95% confidence interval, 1.03-1.13; P = .003) and higher EAT-10 score (hazard ratio: 1.02; 95% confidence interval, 1.01-1.04; P = .043) were associated with in-hospital mortality. Older age and having increased risk of oropharyngeal dysphagia were independently associated with a higher risk of in-hospital mortality in older patients with COVID-19.

Frailty and in-hospital mortality in older patients with acute exacerbation of COPD: A real-world prospective cohort study

BackgroundFew evidence exists for the effect of frailty on the patients admitted with an acute exacerbation of chronic obstructive pulmonary disease (AECOPD). ObjectiveWe explored the link between frailty and in-hospital death in AECOPD, and whether laboratory indicators mediate this association. MethodsThis was a real-world prospective cohort study including older patients with AECOPD, consisting of two cohorts: a training set (n = 1356) and a validation set (n = 478). The independent prognostic factors, including frail status, were determined by multivariate logistic regression analysis. The relationship between frailty and in-hospital mortality was estimated by multivariable Cox regression. A nomogram was developed to provide clinicians with a quantitative tool to predict the risk of in-hospital death. Mediation analyses for frailty and in-hospital death were conducted. ResultsThe training set included 1356 patients (aged 86.7 ± 6.6 years), and 25.0 % of them were frail. A nomogram model was created, including ten independent variables: age, sex, frailty, COPD grades, severity of exacerbation, mean arterial pressure (MAP), Charlson Comorbidity Index (CCI), Interleukin-6 (IL-6), albumin, and troponin T (TPN-T). The area under the receiver operating characteristic curve (ROCs) was 0.862 and 0.845 for the training set and validation set, respectively. Patients with frailty had a higher risk of in-hospital death than those without frailty (HR,1.83, 95%CI: 1.14, 2.94; p = 0.013). Furthermore, CRP and albumin mediated the associations between frailty and in-hospital death. ConclusionsFrailty may be an adverse prognostic factor for older patients admitted with AECOPD. CRP and albumin may be part of the immunoinflammatory mechanism between frailty and in-hospital death.

Predictive value of the Trauma Rating Index in Age, Glasgow Coma Scale, Respiratory rate and Systolic blood pressure score (TRIAGES) for the short-term mortality of older patients with isolated traumatic brain injury: a retrospective cohort study

ObjectivesThis study aimed to evaluate the effectiveness of the Trauma Rating Index in Age, Glasgow Coma Scale, Respiratory rate and Systolic blood pressure score (TRIAGES) in predicting 24-hour in-hospital mortality...

Sarcopenia assessed using a questionnaire can predict in-hospital mortality in older patients with pulmonary tuberculosis

Background & AimsPulmonary tuberculosis is a severe disease with a high mortality rate. However, whether sarcopenia is a risk factor for in-hospital mortality remains unclear. The SARC-F (five items: strength, assistance in walking, rising from a chair, climbing stairs, and falls) is a questionnaire developed to screen for sarcopenia. This study aimed to determine whether the high risk of sarcopenia, assessed using the SARC-F questionnaire, affects in-hospital mortality in older patients with pulmonary tuberculosis. MethodsThis was a retrospective, observational study. We included patients with active pulmonary tuberculosis aged ≥ 65 years who required inpatient treatment between 30 April 2021 and 30 November 2022. We assessed sarcopenia using SARC-F, and SARC-F ≥ 4 points at admission was defined as a high risk of sarcopenia. The primary outcome was all-cause mortality during hospitalisation. We extracted information on age, sex, body mass index, comorbidities, blood and biochemical tests, modified Glasgow Prognostic Score, calf circumference, geriatric nutritional risk index, physiotherapy, and length of hospital stay from medical records. ResultsWe included 147 patients (mean age: 83.0 ± 7.8 years; males: 61.9%). Ninety-three (63.3%) patients had a high risk of developing sarcopenia. Patients with a high risk of sarcopenia were significantly older (mean: 85.0 ± 7.1 years), had a lower body mass index (median: 18.1 kg/m2, range: 16.1-20.5 kg/m2), had a higher modified Glasgow Prognostic Score (median: 2, range: 2-2), and had a lower calf circumference (mean: 26.8 ± 3.6 cm), had a lower geriatric nutritional risk index (mean: 72.2 ± 12.9) than those without high-risk sarcopenia. More patients with a high risk of sarcopenia underwent physiotherapy (93.5%) than those without high-risk sarcopenia (P < 0.01, all). Kaplan-Meier survival curves showed that patients with a high risk of sarcopenia had significantly lower overall survival than those without high-risk sarcopenia (log-rank test, P = 0.001). Logistic regression analysis for in-hospital mortality showed that a high risk of sarcopenia significantly affected in-hospital mortality (odds ratio [OR]: 6.425, 95% confidence interval [CI]: 1.399-47.299). In addition, logistic regression analysis for each item of SARC-F showed that assistance in walking (OR: 3.931, 95% CI: 1.816-9.617) and rising from a chair (OR: 2.458, 95% CI: 1.235-5.330) significantly affected in-hospital mortality. ConclusionA high risk of sarcopenia, as assessed using SARC-F at admission, was a risk factor for in-hospital mortality in older patients with pulmonary tuberculosis. Among the SARC-F items, assistance in walking and rising from a chair were the risk factors for in-hospital mortality.

Prediction of COVID-19 in-hospital mortality in older patients using artificial intelligence: a multicenter study.

Once the pandemic ended, SARS-CoV-2 became endemic, with flare-up phases. COVID-19 disease can still have a significant clinical impact, especially in older patients with multimorbidity and frailty. This study aims at evaluating the main characteristics associated to in-hospital mortality among data routinely collected upon admission to identify older patients at higher risk of death. The present study used data from Gerocovid-acute wards, an observational multicenter retrospective-prospective study conducted in geriatric and internal medicine wards in subjects ≥60years old during the COVID-19 pandemic. Seventy-one routinely collected variables, including demographic data, living arrangements, smoking habits, pre-COVID-19 mobility, chronic diseases, and clinical and laboratory parameters were integrated into a web-based machine learning platform (Just Add Data Bio) to identify factors with the highest prognostic relevance. The use of artificial intelligence allowed us to avoid variable selection bias, to test a large number of models and to perform an internal validation. The dataset was split into training and test sets, based on a 70:30 ratio and matching on age, sex, and proportion of events; 3,520 models were set out to train. The three predictive algorithms (optimized for performance, interpretability, or aggressive feature selection) converged on the same model, including 12 variables: pre-COVID-19 mobility, World Health Organization disease severity, age, heart rate, arterial blood gases bicarbonate and oxygen saturation, serum potassium, systolic blood pressure, blood glucose, aspartate aminotransferase, PaO2/FiO2 ratio and derived neutrophil-to-lymphocyte ratio. Beyond variables reflecting the severity of COVID-19 disease failure, pre-morbid mobility level was the strongest factor associated with in-hospital mortality reflecting the importance of functional status as a synthetic measure of health in older adults, while the association between derived neutrophil-to-lymphocyte ratio and mortality, confirms the fundamental role played by neutrophils in SARS-CoV-2 disease.

The Association between Emergency Department Length of Stay and In-Hospital Mortality in Older Patients Using Machine Learning: An Observational Cohort Study.

The association between emergency department (ED) length of stay (EDLOS) with in-hospital mortality (IHM) in older patients remains unclear. This retrospective study aims to delineate the relationship between EDLOS and IHM in elderly patients. From the ED patients (n = 383,586) who visited an urban academic tertiary care medical center from January 2010 to December 2016, 78,478 older patients (age ≥60 years) were identified and stratified into three age subgroups: 60-74 (early elderly), 75-89 (late elderly), and ≥90 years (longevous elderly). We applied multiple machine learning approaches to identify the risk correlation trends between EDLOS and IHM, as well as boarding time (BT) and IHM. The incidence of IHM increased with age: 60-74 (2.7%), 75-89 (4.5%), and ≥90 years (6.3%). The best area under the receiver operating characteristic curve was obtained by Light Gradient Boosting Machine model for age groups 60-74, 75-89, and ≥90 years, which were 0.892 (95% CI, 0.870-0.916), 0.886 (95% CI, 0.861-0.911), and 0.838 (95% CI, 0.782-0.887), respectively. Our study showed that EDLOS and BT were statistically correlated with IHM (p < 0.001), and a significantly higher risk of IHM was found in low EDLOS and high BT. The flagged rate of quality assurance issues was higher in lower EDLOS ≤1 h (9.96%) vs. higher EDLOS 7 h <t≤ 8 h (1.84%). Special attention should be given to patients admitted after a short stay in the ED and a long BT, and new concepts of ED care processes including specific areas and teams dedicated to older patients care could be proposed to policymakers.

Predictors of in-hospital mortality in older patients undergoing distal femur fracture surgery: A case-control study.

Geriatric fractures including distal femur and hip fractures are associated with high mortality rates. Currently, prognostic factors for in-hospital postoperative mortality are not identified. We aimed to evaluate overall in-hospital mortality and related potential risk factors in elderly patients who underwent distal femur fracture surgery. A retrospective cohort study of patients older than 60 years, who underwent distal femur fracture surgery between January 01, 2003, and December 31, 2021, was conducted. A case-control study was conducted to compare two age-matched groups of elderly patients of equivalent ages at a 1:4 ratio. The in-hospital mortality rate was calculated and potential confounders were compared between groups. A total of 170 patients were enrolled; five died during hospital stay after undergoing surgery, yielding a 2.94% in-hospital mortality rate. Twenty patients who did not die were included in the control group. Patients' demographics were similar. The case-control comparison showed that the time from injury to surgery, preoperative hemoglobin level, estimated glomerular filtration rate (eGFR), and white blood cell count were significant factors correlated with in-hospital mortality. The overall in-hospital mortality rate was 2.94%. Significant risk factors for in-hospital mortality included a longer time from injury to surgery, lower preoperative hemoglobin level and eGFR, and higher preoperative white blood cell count. In conclusion, preoperative comprehensive geriatric assessment, including cognitive, nutritional, and frailty status, should also be considered in the elderly fracture care model.

Frailty, comorbidity and associations with in-hospital mortality in older COVID-19 patients: an exploratory study of administrative data.

Older adults have worse outcomes following hospitalisation with COVID-19, but within this group there is substantial variation. Although frailty and comorbidity are key determinants of mortality, it is less clear which specific manifestations of frailty and comorbidity are associated with the worst outcomes. We aimed to identify the key comorbidities and domains of frailty that were associated with in-hospital mortality in older patients with COVID-19 using models developed using machine learning algorithms. This was a retrospective study that used the Hospital Episode Statistics administrative dataset from 1st March 2020 to 28th February 2021 for hospital patients in England aged 65 years and over. The dataset was split into separate training (70%), test (15%) and validation (15%) datasets during model development. Global frailty was assessed using the Hospital Frailty Risk Score (HFRS) and specific domain of frailty identified using the Dr Foster Global Frailty Scale (GFS). Comorbidity was assessed using the Charlson Comorbidity Index (CCI). Additional features employed in the random forest algorithms included age, sex, deprivation, ethnicity, discharge month and year, geographical region, hospital trust, disease severity, International Statistical Classification of Disease and Related Health Problems 10th edition codes recorded during the admission. Features were selected, pre-processed and inputted into a series of random forest classification algorithms developed to identify factors strongly associated with in-hospital mortality. Two models were developed, the first model included the demographic, hospital-related and disease related items described above and individual GFS domains and CCI items. The second model was as the first but replaced the GFS domains and CCI items with the HFRS as a global measure of frailty. Model performance was assessed using the area under the receiver operating characteristic (AUROC) curve and measures of model accuracy. In total 215,831 patients were included. The model containing the individual GFS domains and CCI items had an AUROC curve for in-hospital mortality of 90% and a predictive accuracy of 83%. The model containing the HFRS had a similar performance (AUROC curve 90%, predictive accuracy 82%). The most important frailty items in the GFS were dementia/delirium, falls/fractures and pressure ulcers/weight loss. The most-important comorbidity items in the CCI were cancer, heart failure and renal disease. The physical manifestation of frailty and comorbidity, particularly a history of cognitive impairment and falls, may be useful in identification of patients who may need additional support during hospitalization with COVID-19.

Elevated α-hydroxybutyrate dehydrogenase is associated with in-hospital mortality in non-ischemic dilated cardiomyopathy.

BackgroundPrevious Study Found That Implantation of a Cardioverter-Defibrillator Likely Caused a Worse Prognosis in Older Patients With non-Ischemic Systolic Heart Failure. This Suggests That More Precise Risk Stratification Is Needed in Elderly Patients. We Conducted a Retrospective Study to Evaluate the Association of α-Hydroxybutyrate Dehydrogenase (α-HBDH) With Mortality During Hospitalization in Elderly Patients With non-Ischemic Dilated Cardiomyopathy (NIDCM).Methods1,019 Elderly Patients (age ≥60 Years) Diagnosed With NIDCM Were Retrospectively Enrolled From January 2010 to December 2019. Univariate and Multivariate Analyses Were Showed to Explore the Relationship Between α-HBDH and in- Hospital Death.ResultsPatients in elevated α-HBDH group (>182 U/L) had a longer hospital stays and higher in-hospital mortality. Univariate logistics regression analysis showed that elevated α-HBDH was significantly related to mortality (OR: 7.004, 95% CI: 3.583–13.693, p < 0.001). Receiver operator characteristic (ROC) curve analysis reflected that α-HBDH levels had excellent predictive power for in-hospital death (AUC = 0.810, 95% CI: 0.745–0.876, p < 0.001). After adjustment of age, serum creatine, albumin and LVEF, multivariate regression analysis validated the association of elevated α-HBDH with increased risk of in-hospital death (p < 0.05).ConclusionsElevated α-HBDH level is significantly related to in-hospital mortality in older patients with NIDCM.

Duration of Acute Kidney Injury and In-Hospital Mortality in Elder Patients with Severe COVID-19: A Retrospective Cohort Study.

Background Patients with severe coronavirus disease 2019 (COVID-19) who develop acute kidney injury (AKI) in the intensive care unit (ICU) have extremely high rates of mortality. This study evaluated the prognostic impact of AKI duration on in-hospital mortality in elder patients. Methods We performed a retrospective study of 126 patients with confirmed COVID-19 with severe or critical disease who treated in the ICU from February 4, 2020, to April 16, 2020. AKI was defined according to the Kidney Disease Improving Global Outcomes serum creatinine (Scr) criteria. AKI patients were divided into transient AKI and persistent AKI groups based on whether Scr level returned to baseline within 48 h post-AKI. Results In total, 107 patients were included in the final analysis. The mean age was 70 (64–78) years, and 69 (64.5%) patients were men. AKI occurred in 48 (44.9%) during their ICU stay. Of these, 11 (22.9%) had transient AKI, and 37 (77.9%) had persistent AKI. In-hospital mortality was 18.6% (n = 11) for patients without AKI, 72.7% (n = 8) for patients with transient AKI, and 86.5% (n = 32) for patients with persistent AKI (P < 0.001). Kaplan–Meier curve analysis revealed that patients with both transient AKI and persistent AKI had significantly higher death rates than those without AKI (log-rank P < 0.001). Multivariate Cox regression analysis revealed that transient and persistent AKI were an important risk factor for in-hospital mortality in older patients with severe COVID-19 even after adjustment for variables (hazard ratio [HR] = 2.582; 95% CI: 1.025–6.505; P = 0.044; and HR = 6.974; 95% CI: 3.334–14.588; P < 0.001). Conclusions AKI duration can be an important predictive parameter in elder patients suffering from COVID-19 and are admitted to ICU. Among these patients, those exhibiting persistent AKI have a lower in-hospital survival rate than those with transient AKI, emphasizing the importance of identifying an appropriate treatment window for early intervention.

Using mobility status as a frailty indicator to improve the accuracy of a computerised five-level triage system among older patients in the emergency department

BackgroundOwing to societal ageing, the number of older individuals visiting emergency departments (EDs) has increased in recent years. For this patient population, accurate triage systems are required. This retrospective cohort study assessed the accuracy of a computerised five-level triage system, the Taiwan Triage and Acuity System (TTAS), by determining its ability to predict in-hospital mortality in older adult patients and compare it with the corresponding rate in younger adult patients presenting to EDs. The association between frailty, which the current triage system does not consider, was also investigated.MethodsThe medical records of adult patients admitted to a single ED between 2016 and 2017 were reviewed. Data collected included information on demographics, triage level, frailty status, in-hospital mortality, and medical resource utilisation. The patients were divided into four age groups: two older adult groups (older: 65–84 years and very old: ≥85 years) and two younger adult groups (young: 18–39 and middle-aged: 40–64 years).ResultsOur study included 265,219 ED adult patients, of whom 64,104 and 16,009 were in the older and very old groups, respectively. The in-hospital mortality rate at each triage level increased with age. The ability of the TTAS to predict in-hospital mortality decreased with age (area under the receiver operating characteristic curve [AUROC]: young: 0.86; middle-aged, 0.84; and older and very old: 0.79). Frailty was associated with in-hospital mortality (odds ratio, 2.20; 95% confidence interval, 2.03–2.38). Adding mobility status as a frailty indicator to TTAS only slightly improved its ability to predict in-hospital mortality (AUROC: 0.74–0.77) in patients ≥65 years of age.ConclusionsThe ability of the current triage system to predict in-hospital mortality decreases with age. Although frailty as mobility was associated with in-hospital mortality, its addition to the TTAS only slightly improved the accuracy with which in-hospital mortality in older patients presenting to EDs was predicted.

Nutrition risk assessed by Nutritional Risk Screening 2002 is associated with in-hospital mortality in older patients with COVID-19.

BackgroundAlthough numerous studies have been performed to determine predictors of coronavirus disease 2019 (COVID‐19) mortality, studies that address the geriatric age group are limited. The aim of this study was to investigate the utility of the Nutritional Risk Screening 2002 (NRS‐2002) and the Geriatric 8 (G8) screening tools in predicting clinical outcomes in older adults hospitalized with COVID‐19.MethodsPatients aged ≥60 years who were hospitalized with COVID‐19 in the second wave of the pandemic were included in the study. COVID‐19 infection was demonstrated by a positive real‐time reverse transcriptase–polymerase chain reaction on nasopharyngeal swab or positive radiological findings. Disease severity was determined as defined by the National Institutes of Health. Patient demographics, laboratory values on admission, comorbidities, and medications were recorded. The NRS‐2002 and the G8 screening tools were performed for all patients by the same geriatrician. Primary outcome was in‐hospital mortality.ResultsA total of 121 patients were included. Mean age was 75 ± 9 years, and 51% were female. Mean body mass index was 27 ± 4.5 kg/m2. Sixty‐nine percent of the patients had nutrition risk according to the NRS‐2002. Eighty‐nine percent of the patients had a G8 score ≤14. In‐hospital mortality occurred in 26 (22%) patients. Older age and having nutrition risk as determined by the NRS‐2002 were independently associated with a higher risk of in‐hospital mortality in older patients with COVID‐19.ConclusionThe NRS‐2002 tool provides rapid assessment for risk stratification in hospitalized older patients with COVID‐19.

Persistent eosinopenia is associated with in-hospital mortality among older patients: unexpected prognostic value of a revisited biomarker

IntroductionInfection is one of the major causes of mortality and morbidity in older adults. Available biomarkers are not associated with prognosis in older patients. This study aimed to analyze the value of eosinopenia (eosinophil count< 100/mm3) as a prognosis marker among older patients with suspected or confirmed bacterial infection.MethodsA retrospective study was performed from 1 January to 31 December 2018 among patients in a geriatrics ward suffering from a bacterial infection treated with antibiotics. Biomarker data including the eosinophil count, neutrophil count and C-reactive protein (CRP) were collected within 4 days after patient diagnosis. Persistent eosinopenia was defined as a consistent eosinophil count< 100/mm3 between Day 2 and Day 4. The association of biomarkers with 30-day hospital mortality in a multivariate analysis was assessed and their predictive ability using the area under the ROC curve (AUC) was compared.ResultsOur study included 197 patients with a mean age of 90 ± 6 years. A total of 36 patients (18%) died during their stay in hospital. The patients who died were more likely to have persistent eosinopenia in comparison to survivors (78% versus 34%, p < 0.001). In the multivariate analysis, persistent eosinopenia was associated with in-hospital mortality with an adjusted HR of 8.90 (95%CI 3.46–22.9). The AUC for eosinophil count, CRP and neutrophil count between Day 2 and Day 4 were 0.7650, 0.7130, and 0.698, respectively.ConclusionPersistent eosinopenia within 4 days of diagnosis of bacterial infection appeared to be a predictor of in-hospital mortality in older patients.

Patterns of Comorbidity and In-Hospital Mortality in Older Patients With COVID-19 Infection

Introduction: Older adults are more susceptible to severe COVID-19, with increased all-cause mortality. This has been attributed to their multimorbidity and disability. However, it remains to be established which clinical features of older adults are associated with severe COVID-19 and mortality. This information would aid in an accurate prognosis and appropriate care planning. Here, we aimed to identify the chronic clinical conditions and the comorbidity clusters associated with in-hospital mortality in a cohort of older COVID-19 patients who were admitted to the IRCCS Policlinico San Martino Hospital, Genoa, Italy, between January and April 2020.Methods: This was a retrospective cohort study including 219 consecutive patients aged 70 years or older and is part of the GECOVID-19 study group. During the study period, upon hospital admission, demographic information (age, sex) and underlying chronic medical conditions (multimorbidity) were recorded from the medical records at the time of COVID-19 diagnosis before any antiviral or antibiotic treatment was administered. The primary outcome measure was in-hospital mortality.Results: The vast majority of the patients (90%) were >80 years; the mean patient age was 83 ± 6.2 years, and 57.5% were men. Hypertension and cardiovascular disease, along with dementia, cerebrovascular diseases, and vascular diseases were the most prevalent clinical conditions. Multimorbidity was assessed with the Cumulative Illness Rating Scale. The risk of in-hospital mortality due to COVID-19 was higher for males, for older patients, and for patients with dementia or cerebral-vascular disease. We clustered patients into three groups based on their comorbidity pattern: the Metabolic-renal-cancer cluster, the Neurocognitive cluster and the Unspecified cluster. The Neurocognitive and Metabolic-renal-cancer clusters had a higher mortality compared with the Unspecified cluster, independent of age and sex.Conclusion: We defined patterns of comorbidity that accurately identified older adults who are at higher risk of death from COVID-19. These associations were independent of chronological age, and we suggest that the identification of comorbidity clusters that have a common pathophysiology may aid in the early assessment of COVID-19 patients with frailty to promote timely interventions that, in turn, may result in a significantly improved prognosis.

The Relationship Between Frailty, Comorbidity and COVID-19 Mortality in Older COVID-19 Patients: Analysis of an Administrative Dataset Using Machine Learning Techniques

Introduction: Older adults have disproportionally poor outcomes following hospitalisation with COVID-19, but within this group there is substantial variation. Although frailty and comorbidity are key determinants of mortality, it is less clear which specific manifestations of frailty and comorbidity are associated with the poorest outcomes. The aim of this study was to identify the key comorbidities and functional manifestations of frailty that were associated with in-hospital mortality in older patients with COVID-19.Methods: This was a retrospective study that used the Hospital Episode Statistics administrative dataset from 1st March 2020 to 28th February 2021 for hospital patients in England aged 65 years and over. Frailty was assessed using the Dr Foster Global Frailty Scale (GFS) and comorbidity using the Charlson Comorbidity Index (CCI). Exploratory analysis techniques were used to determine mortality according to the demographic, frailty and comorbidity profile of patients. Features were selected, pre-processed and inputted into a random forest classification algorithm to predict in-hospital mortality.Results: In total 215,831 patients were included. The frailty and comorbidity measures significantly improved the model’s ability to predict mortality in patients. The most important frailty items in the GFS were dementia/delirium, falls/fractures and pressure ulcers/weight loss. The most-important comorbidity items in the CCI were diabetes (without complications), pulmonary disease, heart failure and renal failure. The best-performing model had a predictive accuracy of 70% as well as an area under the curve of 0.78.Discussion: Frailty and comorbidity are associated with poorer COVID-19 outcomes in older adults, even after adjusting for chronological age. The physical manifestation of frailty and comorbidity particularly a history of cognitive impairment and falls, may be useful in identification of patients who may need additional support during their hospital stay.Funding: None to declare.Declaration of Interest: None to declare.

Emergency department utilization and risk factors for mortality in older patients: an analysis of Korean National Emergency Department Information System data.

ObjectiveWith trends in population aging an increasing number of older patients are visiting the emergency department (ED). This study aimed to identify the characteristics of ED utilization and risk factors for in-hospital mortality in older patients who visited EDs.MethodsThis nationwide observational study used National Emergency Department Information System data collected during a 2-year period from January 2016 to December 2017. The characteristics of older patients aged 70 years or older were compared with those of younger patients aged 20 to 69 years. Risk factors associated with in-hospital mortality were analyzed by multivariable logistic regression.ResultsA total of 6,596,423 younger patients and 1,737,799 older patients were included. In the medical and nonmedical older patient groups, significantly higher proportions of patients were transferred from another hospital, utilized emergency medical services, had Korean Triage and Acuity Scale scores of 1 and 2, required hospitalization, and required intensive care unit admission in the older patient group than in the younger patient group. ED and post-hospitalization mortality rates increased with age; in particular, older medical patients aged 90 or older had an in-hospital mortality rate of 9%. Older age, male sex, transfer from another hospital, emergency medical service utilization, a high Korean Triage and Acuity Scale score, systolic blood pressure <100 mmHg, respiratory rate >20/min, heart rate >100/min, body temperature <36°C, and altered mental status were associated with in-hospital mortality.ConclusionDevelopment of appropriate decision-making algorithms and treatment protocols for high risk older patients visiting the ED might facilitate appropriate allocation of medical resources to optimize outcomes.

Delirium symptoms duration and mortality in SARS-COV2 elderly: results of a multicenter retrospective cohort study.

BackgroundSince the occurrence of the SARS-COV2 pandemic, there has been an increasing interest in investigating the epidemiology of delirium. Delirium is frequent in SARS-COV2 patients and it is associated with increased mortality; however, no information is available on the association between delirium duration in SARS-COV2 patients and related outcomes.AimsThe aim of this study is to investigate the association between the duration of delirium symptoms and in-hospital mortality in older patients with SARS-COV2 infection.MethodsRetrospective cohort study of patients 65 years of age and older with SARS-CoV 2 infection admitted to two acute geriatric wards and one rehabilitation ward. Delirium symptoms duration was assessed retrospectively with a chart-based validated method. In-hospital mortality was ascertained via medical records.ResultsA total of 241 patients were included. The prevalence of delirium on admission was 16%. The median number of days with delirium symptoms was 4 (IQR 2–6.5) vs. 0 (IQR 0–2) in patients with and without delirium on admission. In the multivariable Cox regression model, each day with a delirium symptom in a patient with the same length of stay was associated with a 10% increase in in-hospital mortality (Hazard ratio 1.1, 95% Confidence interval 1.01–1.2; p = 0.03). Other variables associated with increased risk of in-hospital death were age, comorbidity, CPAP, CRP levels and total number of drugs on admission.ConclusionsThe study supports the necessity to establish protocols for the monitoring and management of delirium during emergency conditions to allow an appropriate care for older patients.Supplementary InformationThe online version contains supplementary material available at 10.1007/s40520-021-01899-8.

Cardiometabolic Therapy and Mortality in Very Old Patients With Diabetes Hospitalized due to COVID-19.

BackgroundThe effects of cardiometabolic drugs on the prognosis of diabetic patients with COVID-19, especially very old patients, are not well-known. This work aims to analyze the association between preadmission cardiometabolic therapy (antidiabetic, antiaggregant, antihypertensive, and lipid-lowering drugs) and in-hospital mortality among patients ≥80 years with type 2 diabetes mellitus hospitalized for COVID-19.MethodsWe conducted a nationwide, multicenter, observational study in patients ≥80 years with type 2 diabetes mellitus hospitalized for COVID-19 between March 1 and May 29, 2020. The primary outcome measure was in-hospital mortality. A multivariate logistic regression analysis were performed to assess the association between preadmission cardiometabolic therapy and in-hospital mortality.ResultsOf the 2,763 patients ≥80 years old hospitalized due to COVID-19, 790 (28.6%) had T2DM. Of these patients, 385 (48.7%) died during admission. On the multivariate analysis, the use of dipeptidyl peptidase-4 inhibitors (AOR 0.502, 95%CI 0.309-0.815, p=0.005) and angiotensin receptor blockers (AOR 0.454, 95%CI 0.274-0.759, p=0.003) were independent protectors against in-hospital mortality whereas the use of acetylsalicylic acid was associated with higher in-hospital mortality (AOR 1.761, 95%CI 1.092-2.842, p=0.020). Other antidiabetic drugs, angiotensin-converting enzyme inhibitors and statins showed neutral association with in-hospital mortality.ConclusionsWe found important differences between cardiometabolic drugs and in-hospital mortality in older patients with type 2 diabetes mellitus hospitalized for COVID-19. Preadmission treatment with dipeptidyl peptidase-4 inhibitors and angiotensin receptor blockers could reduce in-hospital mortality; other antidiabetic drugs, angiotensin-converting enzyme inhibitors and statins seem to have a neutral effect; and acetylsalicylic acid could be associated with excess mortality.

Activity of daily living upon admission is an independent predictor of in-hospital mortality in older patients with community-acquired pneumonia

BackgroundOlder patients hospitalized with community-acquired pneumonia (CAP) are at high risk for short-term mortality. Activity of daily living (ADL) is associated with clinical outcomes in older patients. We aimed to investigate the prognostic value of ADL upon admission on the in-hospital mortality in older patients with CAP.MethodsWe conducted a retrospective cohort study involving patients aged ≥65 years admitted to Beijing Chao-Yang hospital due to CAP between June 2012 and June 2020. ADL evaluation upon admission was performed by Barthel Index (BI). Data from all patients were extracted from the electronic medical records.ResultsFour thousand eight hundred eighty patients were included, 131 patients (2.7%) died during their hospitalization. Median BI in the Deceased group was 45 (20–65), Deceased group had lower BI scores than Survivors group (p < 0.001). Low BI (< 60) was more frequent in patients who died in the hospital than in patients discharged alive (69.5% vs. 13%, p < 0.001). In-hospital mortality was higher among patients with worse ADL upon admission (BI< 60) compared to those BI≥60 (12.6% vs. 0.9%). The worse ADL upon admission (BI< 60) was associated with an increase in the risk of death during CAP hospitalization, worse ADL upon admission (BI< 60) showed an odds ratio (OR) for in-hospital mortality of 7.53 (95%CI: 2.77–20.48; P < 0.01). This association remained significant after adjustment for age, comorbid conditions, respiratory failure, pathogens and laboratory findings (OR, 3.74; 95%CI, 2.37–5.91; P < 0.01). Receiver operating characteristic (ROC) curve revealed that BI upon admission is a predictor related to in-hospital mortality in elderly patients, the area under the ROC curve of BI in predicting in-hospital mortality was 0.81 (with 95% confidence interval: 0.78–0.85). The predictive value of ADL upon admission was better than age in our study population.ConclusionActivity of daily living upon admission is an independent predictor of in-hospital mortality in older patients with community-acquired pneumonia.