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

Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality

Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive power for death at various time points throughout patient hospitalization. In a cohort study involving 515 hospitalized patients (General Hospital Number 1 of Mexican Social Security Institute, Colima, Mexico from February 2021 to December 2022) with COVID-19, seven severity indices [Pneumonia Severity Index (PSI) PaO2/FiO2 arterial oxygen pressure/fraction of inspired oxygen (Kirby index), the Critical Illness Risk Score (COVID-GRAM), the National Early Warning Score 2 (NEWS-2), the quick Sequential Organ Failure Assessment score (qSOFA), the Fibrosis-4 index (FIB-4) and the Viral Pneumonia Mortality Score (MuLBSTA were evaluated using time-dependent ROC curves. Clinical data were collected at admission and at 2, 4, 6 and 8 days into hospitalization. The study calculated the area under the curve (AUC), sensitivity, specificity, and predictive values for each index at these time points. Mortality was 43.9%. Throughout all time points, NEWS-2 demonstrated the highest predictive power for mortality, as indicated by its AUC values. PSI and COVID-GRAM followed, with predictive power increasing as hospitalization duration progressed. Additionally, NEWS-2 exhibited the highest sensitivity (>96% in all periods) but showed low specificity, which increased from 22.9% at admission to 58.1% by day 8. PSI displayed good predictive capacity from admission to day 6 and excellent predictive power at day 8 and its sensitivity remained >80% throughout all periods, with moderate specificity (70.6-77.3%). COVID-GRAM demonstrated good predictive capacity across all periods, with high sensitivity (84.2-87.3%) but low-to-moderate specificity (61.5-67.6%). The qSOFA index initially had poor predictive power upon admission but improved after 4 days. FIB-4 had a statistically significant predictive capacity in all periods (P=0.001), but with limited clinical value (AUC, 0.639-0.698), and with low sensitivity and specificity. MuLBSTA and IKIRBY exhibited low predictive power at admission and no power after 6 days. In conclusion, in COVID-19 patients with high mortality rates, NEWS-2 and PSI consistently exhibited predictive power for death during hospital stay, with PSI demonstrating the best balance between sensitivity and specificity.

Impact of influenza vaccination history in the clinical course of older adults hospitalized with COVID-19

BACKGROUND AND PURPOSE

Some studies have shown that influenza vaccination is associated with a lower risk of SARS-CoV-2 infection; in patients with COVID-19 infection, admission to intensive care is reduced, with less need for mechanical ventilation, shorter hospital stays, and reduced mortality. This study aimed to determine if a history of annual influenza vaccination impacts the clinical course of SARS-CoV-2 infection during hospitalization.

METHODS

This was an observational, prospective, cohort study of patients older than 65 admitted to the COVID-19 unit from January to June 2021. The history of influenza vaccination over the last 5 years was assessed in each patient during hospitalization. We measured the length of hospital stay, the need for admission to the intensive care unit (ICU), the patient's oxygen requirements, complications during hospitalization, and outcome (medical discharge or death). Patients with a history of vaccination against SARS-CoV-2 were not included.

RESULTS

We analyzed 125 patients, 50.4% (n=63) with history of influenza vaccination and 49.6% (n=62) without a history of influenza vaccination. In-hospital mortality was 44.8%, higher in the unvaccinated (54.8%) population (p=0.008). ICU admission was 27% higher in vaccinated (35%) patients (p=0.05). Patients without a history of influenza vaccination had a higher prevalence of cardiac (8% vs. 5%, p=0.04) and renal complications (29% vs. 13%, p=0.02). Patients with a history of vaccination had a greater need for invasive mechanical ventilation (25.4%, p=0.02).

CONCLUSION

In this study, a history of influenza vaccination in older adults with SARS-CoV-2 infection was related to lower in-hospital mortality.

The Impact of Implementation of Palliative, Non-Operative Management on Mortality of Operatively Treated Geriatric Hip Fracture Patients: A Retrospective Cohort Study

(1) Background: Hip fracture patients with very limited life expectancy can opt for non-operative management (NOM) within a palliative care context. The implementation of NOM in the palliative context may affect the mortality of the operatively treated population. This retrospective cohort study aimed to determine whether the operatively treated geriatric hip fracture population would have a lower in-hospital mortality rate and fewer postoperative complications after the introduction of NOM within a palliative care context for patients with very limited life expectancy. (2) Methods: Data from 1 February 2019 to 1 February 2022 of patients aged 70 years or older were analyzed to give a comparison between patients before and after implementation of NOM within a palliative care context. (3) Results: Comparison between 550 patients before and 485 patients after implementation showed no significant difference in in-hospital or 1-year mortality rates (2.9% vs. 1.4%, p = 0.139; 22.4% vs. 20.2%, p = 0.404, respectively). Notably, post-implementation, fewer patients had prior dementia diagnoses (15% vs. 21%, p = 0.010), and intensive care unit admissions decreased (3.5% vs. 1.2%, p = 0.025). (4) Conclusions: The implementation of NOM within a palliative care context did not significantly reduce mortality or complications. However, NOM within palliative care is deemed a more patient-centered approach for geriatric hip fracture patients with very limited life expectancy.

Dynamic lymphocyte-CRP ratio as a predictor: a single-centre retrospective study on disease severity and progression in adult COVID-19 patients

OBJECTIVE

To assess the efficacy of dynamic changes in lymphocyte-C-reactive protein ratio (LCR) on differentiating disease severity and predicting disease progression in adult patients with Coronavirus disease 2019 (COVID-19).

METHODS

This single-centre retrospective study enrolled adult COVID-19 patients categorized into moderate, severe and critical groups according to the Diagnosis and Treatment of New Coronavirus Pneumonia (ninth edition). Demographic and clinical data were collected. LCR and sequential organ failure assessment (SOFA) score were calculated. Lymphocyte count and C-reactive protein (CRP) levels were monitored on up to four occasions. Disease severity was determined concurrently with each LCR measurement.

RESULTS

This study included 145 patients assigned to moderate (n = 105), severe (n = 33) and critical groups (n = 7). On admission, significant differences were observed among different disease severity groups including age, comorbidities, neutrophil proportion, lymphocyte count and proportion, D-Dimer, albumin, total bilirubin, direct bilirubin, indirect bilirubin, CRP and SOFA score. Dynamic changes in LCR showed significant differences across different disease severity groups at different times, which were significantly inversely correlated with disease severity of COVID-19, with correlation coefficients of -0.564, -0.548, -0.550 and -0.429 at four different times.

CONCLUSION

Dynamic changes in LCR can effectively differentiate disease severity and predict disease progression in adult COVID-19 patients.

4C mortality score and COVID-19 mortality risk score: an analysis in four different age groups of an Italian population

To evaluate the prognostic stratification ability of 4C Mortality Score and COVID-19 Mortality Risk Score in different age groups. Retrospective study, including all patients, presented to the Emergency Department of the University Hospital Careggi, between February, 2020 and May, 2021, and admitted for SARS-CoV2. Patients were divided into four subgroups based on the quartiles of age distribution: patients < 57 years (G1, n = 546), 57-71 years (G2, n = 508), 72-81 years (G3, n = 552), and > 82 years (G4, n = 578). We calculated the 4C Mortality Score and COVID-19 Mortality Risk Score. The end-point was in-hospital mortality. In the whole population (age 68 ± 16 years), the mortality rate was 19% (n = 424), and increased with increasing age (G1: 4%, G2: 11%, G3: 22%, and G4: 39%, p < 0.001). Both scores were higher among non-survivors than survivors in all subgroups (4C-MS, G1: 6 [3-7] vs 3 [2-5]; G2: 10 [7-11] vs 7 [5-8]; G3: 11 [10-14] vs 10 [8-11]; G4: 13 [12-15] vs 11 [10-13], all p < 0.001; COVID-19 MRS, G1: 8 [7-9] vs 9 [9-11], G2: 10 [8-11] vs 11 [10-12]; G3: 11 [10-12] vs 12 [11-13]; G4: 11 [10-13] vs 13 [12-14], all p < 0.01). The ability of both scores to identify patients at higher risk of in-hospital mortality, was similar in different age groups (4C-MS: G1 0.77, G2 0.76, G3 0.68, G4 0.72; COVID-19 MRS: G1 0.67, G2 0.69, G3 0.69, G4 0.72, all p for comparisons between subgroups = NS). Both scores confirmed their good performance in predicting in-hospital mortality in all age groups, despite their different mortality rate.

Sex differences in patients with COVID-19 after bariatric surgery: a multicenter cross-sectional study

Objectives

This multicenter, cross-sectional study aimed to investigate whether sex differences persist among patients who have undergone bariatric surgery and tested positive for the coronavirus disease (COVID-19).

Methods

We conducted a multicenter cross-sectional study via an online electronic questionnaire to collect data. Categorical data were presented as absolute and relative frequencies. Data for continuous variables were expressed as mean and standard deviation (SD) or median [interquartile range (IQR)]. We employed ordered logistic regression to assess whether females had higher odds of an increased self-reported duration of the most severe symptom compared to males. Using a modified Poisson regression model with robust standard errors to assess the differences in clinical characteristics among COVID-19 cases.

Results

Statistical analysis revealed significant differences in the prevalence rates of various comorbidities. Among participants who reported their temperature during COVID-19 infection, more than half engaged in vitamin supplementation and regular exercise, while 4.2% remained asymptomatic. The probability of females experiencing a longer duration of severe symptoms increased compared to males [adjusted Odds Ratio (aOR) = 1.92, 95% confidence interval (CI) 1.73-2.12]. In the multivariate mixed-effects Poisson regression analysis, compared to males, females exhibited a lower prevalence rate of asymptomatic infection [adjusted prevalence ratio (aPR 0.40, 95% CI 0.28-0.58), lower prevalence of infection without therapeutic medication use (aPR 0.76, 95% CI 0.70-0.82), and lower prevalence of multiple infections (aPR 0.39, 95% CI 0.20-0.74)].

Conclusion

This cross-sectional study indicates the persistence of sex differences among patients with COVID-19 who have undergone bariatric surgery. Further research is needed to explore the underlying factors contributing to this disparity.

Changes in the intrinsic severity of severe acute respiratory syndrome coronavirus 2 according to the emerging variant: a nationwide study from February 2020 to June 2022, including comparison with vaccinated populations

BACKGROUND

As the population acquires immunity through vaccination and natural infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), understanding the intrinsic severity of coronavirus disease (COVID-19) is becoming challenging. We aimed to evaluate the intrinsic severity regarding circulating variants of SARS-CoV-2 and to compare this between vaccinated and unvaccinated individuals.

METHODS

With unvaccinated and initially infected confirmed cases of COVID-19, we estimated the case severity rate (CSR); case fatality rate (CFR); and mortality rate (MR), including severe/critical cases and deaths, stratified by age and compared by vaccination status according to the period regarding the variants of COVID-19 and vaccination. The overall rate was directly standardized with age.

RESULTS

The age-standardized CSRs (aCSRs) of the unvaccinated group were 2.12%, 5.51%, and 0.94% in the pre-delta, delta, and omicron period, respectively, and the age-standardized CFRs (aCFRs) were 0.60%, 2.49%, and 0.63% in each period, respectively. The complete vaccination group had lower severity than the unvaccinated group over the entire period showing under 1% for the aCSR and 0.5% for the aCFR. The age-standardized MR of the unvaccinated group was 448 per million people per month people in the omicron period, which was 11 times higher than that of the vaccinated group. In terms of age groups, the CSR and CFR sharply increased with age from the 60 s and showed lower risk reduction in the 80 s when the period changed to the omicron period.

CONCLUSIONS

The intrinsic severity of COVID-19 was the highest in the delta period, with over 5% for the aCSR, whereas the completely vaccinated group maintained below 1%. This implies that when the population is vaccinated, the impact of COVID-19 will be limited, even if a new mutation appears. Moreover, considering the decreasing intrinsic severity, the response to COVID-19 should prioritize older individuals at a higher risk of severe disease.

Impact of a Virtual Game, 'Name That Band,' on Older People's and PharmD Students' Feelings of Social Isolation During COVID-19

Background Prior to the COVID-19 pandemic, PharmD students at the University of Arizona (UArizona) had a long-standing relationship with the older people at St. Luke's Home, a local Eden Alternative assisted-living community. Hosting community engagement programs for assisted-living residents was challenging with COVID-19 precautions and older individuals suffering from social isolation and loneliness. Objective To determine the impact of playing a virtual game, 'Name That Band,' on older people's and PharmD students' feelings of social isolation during the COVID-19 pandemic. Methods Questionnaires were administered before and after a virtual game to residents at St. Luke's Home and PharmD students at UArizona. Participants were asked about their mood before COVID-19 and pre-and postgame, as well as their social interactions and feelings of loneliness using the Modified UCLA Three-Item Loneliness Scale, which assesses a composite score of lack of companionship, feelings of being left out, and isolation. Results Fifteen older people and 11 students participated in the game (N = 26). All participants completed the pregame survey and 25 completed the postgame survey. The older people reported fewer feelings of isolation and loneliness (measured by a reduction in UCLA Loneliness Scale score) postgame compared with pregame. The students reported a higher total UCLA Loneliness Scale score during the pandemic than prepandemic, but there was no difference in their scores postgame compared with pregame. More older people and students reported feeling 'happy' after playing the virtual game together compared with before the pandemic and before playing. The aspect of the activity that helped older people and students feel more socially engaged was playing a game. Conclusion A social intervention using a virtual game may be a tool that can be used to decrease feelings of isolation and increase engagement for older people residing in an assisted-living community.

Prevalence and effects of acute myocardial infarction on hospital outcomes among COVID-19 patients

BACKGROUND

Acute myocardial infarction (AMI) is one of the most lethal complications of COVID-19 hospitalization. In this study, we looked for the occurrence of AMI and its effects on hospital outcomes among COVID-19 patients.

METHODS

Data from the 2020 California State Inpatient Database was used retrospectively. All COVID-19 hospitalizations with age ≥ 18 years were included in the analyses. Adverse hospital outcomes included in-hospital mortality, prolonged length of stay (LOS), vasopressor use, mechanical ventilation, and ICU admission. Prolonged LOS was defined as any hospital LOS ≥ 75th percentile. Multivariate logistic regression analyses were used to understand the strength of associations after adjusting for cofactors.

RESULTS

Our analysis had 94 114 COVID-19 hospitalizations, and 1548 (1.6%) had AMI. Mortality (43.2% vs. 10.8%, P  < 0.001), prolonged LOS (39.9% vs. 28.2%, P  < 0.001), vasopressor use (7.8% vs. 2.1%, P  < 0.001), mechanical ventilation (35.0% vs. 9.7%, P  < 0.001), and ICU admission (33.0% vs. 9.4%, P  < 0.001) were significantly higher among COVID-19 hospitalizations with AMI. The odds of adverse outcomes such as mortality (aOR 3.90, 95% CI: 3.48-4.36), prolonged LOS (aOR 1.23, 95% CI: 1.10-1.37), vasopressor use (aOR 3.71, 95% CI: 3.30-4.17), mechanical ventilation (aOR 2.71, 95% CI: 2.21-3.32), and ICU admission (aOR 3.51, 95% CI: 3.12-3.96) were significantly more among COVID-19 hospitalizations with AMI.

CONCLUSION

Despite the very low prevalence of AMI among COVID-19 hospitalizations, the study showed a substantially greater risk of adverse hospital outcomes and mortality. COVID-19 patients with AMI should be aggressively treated to improve hospital outcomes.

Understanding clinical outcomes and factors influencing mortality in intensive care unit patients with COVID-19-associated candidemia

BACKGROUND

During the COVID pandemic, research has shown an increase in candidemia cases following severe COVID infection and the identification of risk factors associated with candidemia. However, there is a lack of studies that specifically explore clinical outcomes and mortality rates related to candidemia after COVID infection.

OBJECTIVES

The aim of this international study was to evaluate the clinical outcomes and identify factors influencing mortality in patients who developed candidemia during their COVID infection.

PATIENTS/METHODS

This study included adult patients (18 years of age or older) admitted to the intensive care unit (ICU) and diagnosed with COVID-associated candidemia (CAC). The research was conducted through ID-IRI network and in collaboration with 34 medical centres across 18 countries retrospectively, spanning from the beginning of the COVID pandemic until December 2021.

RESULTS

A total of 293 patients diagnosed with CAC were included. The median age of the patients was 67, and 63% of them were male. The most common Candida species detected was C. albicans. The crude 30-day mortality rate was recorded at 62.4%. The logistic regression analysis identified several factors significantly impacting mortality, including age (odds ratio [OR] 1.04, 95% confidence interval [CI] 1.02-1.07, p < .0005), SOFA score (OR 1.307, 95% CI 1.17-1.45, p < .0005), invasive mechanical ventilation (OR 7.95, 95% CI 1.44-43.83, p < .017) and duration of mechanical ventilation (OR 0.98, 95% CI 0.96-0.99, p < .020).

CONCLUSIONS

By recognising these prognostic factors, medical professionals can customise their treatment approaches to offer more targeted care, leading to improved patient outcomes and higher survival rates for individuals with COVID-associated candidemia.

Analysis of clinical characteristics and risk factors between elderly patients with severe and nonsevere Omicron variant infection

BACKGROUND

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and deaths worldwide. Elderly patients are at high risk of developing and dying from COVID-19 due to advanced age, decreased immune function, intense inflammatory response, and comorbidities. Shanghai has experienced a wave of infection with Omicron, a new variant of SARS-CoV-2, since March 2022. There is a pressing need to identify clinical features and risk factors for disease progression among elderly patients with Omicron infection to provide solid evidence for clinical policy-makers, public health officials, researchers, and the general public.

AIM

To investigate clinical characteristic differences and risk factors between elderly patients with severe and nonsevere Omicron SARS-CoV-2 variant infection.

METHODS

A total of 328 elderly patients with COVID-19 admitted to the Ninth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from April 2022 to June 2022 were enrolled and divided into a severe group (82 patients) and a nonsevere group (246 patients) according to the diagnosis and treatment protocol of COVID-19 (version 7). The clinical data and laboratory results of both groups were collected and compared. A chi-square test, t test, Mann-Whitney U test, hierarchical log-rank test, univariate and multivariate logistic regression, and hierarchical analyses were used to determine significant differences.

RESULTS

The severe group was older (84 vs 74 years, P < 0.001), included more males (57.3% vs 43.9%, P = 0.037), had a lower vaccination rate (P < 0.001), and had a higher proportion of comorbidities, including chronic respiratory disease (P = 0.001), cerebral infarction (P < 0.001), chronic kidney disease (P = 0.002), and neurodegenerative disease (P < 0.001), than the nonsevere group. In addition, severe disease patients had a higher inflammatory index (P < 0.001), greater need for symptomatic treatment (P < 0.001), longer hospital stay (P = 0.011), extended viral shedding time (P = 0.014), and higher mortality than nonsevere disease patients (P < 0.001). No difference was observed in the application of Paxlovid in the severe and nonsevere groups (P = 0.817). Oxygen saturation, cerebral infarction, and D-dimer were predictive factors for developing severe disease in patients with COVID-19, with D-dimer having an excellent role (area under the curve: 90.1%, 95%CI: 86.1-94.0%). In addition, D-dimer was a risk factor for developing severe COVID-19 according to multivariate stratified analysis.

CONCLUSION

The clinical course of severe COVID-19 is complex, with a higher need for symptomatic treatment. D-dimer is a suitable biomarker for identifying patients at risk for developing severe COVID-19.

Association between the Neutrophil-to-Lymphocyte Ratio and Inpatient Mortality in Hospitalized Older Veterans with COVID-19 Infection

OBJECTIVES

Determine the association of high neutrophil-to-lymphocyte ratio (NLR) values with inpatient mortality and other outcomes in older veterans hospitalized with coronavirus disease 2019 (COVID-19).

METHODS

This was a retrospective, multicenter, cohort study of hospitalized adults, with laboratory-confirmed COVID-19 infection who were studied for 1 year after discharge or until death. The NLR was categorized into tertiles, and we determined frailty status with the 31-item Veterans Affairs Frailty Index. Multivariate logistic regression and adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were performed to assess the association between NLR and clinical outcomes.

RESULTS

The study included 615 hospitalized adult veterans, mean age 66.12 (standard deviation 14.79) years, 93.82% (n = 577) male, 57.56% (n = 354) White, 81.0% (n = 498) non-Hispanic, median body mass index of 30.70 (interquartile range 25.64-34.99, standard deviation 7.13), and median length of stay of 8 days (interquartile range 3-15). Individuals in the middle and upper tertile groups had higher inpatient mortality (8.37%, n = 17 and 18.36%, n = 38, respectively) as compared with the lower tertile (2.93%, n = 6, P < 0.001). Compared with the lowest tertile, the middle and upper tertiles had a higher risk of inpatient mortality (aOR 3.75, 95% CI 1.38-10.21, P = 0.01, and aOR 8.13, 95% CI 3.18-20.84, P < 0.001, respectively). The highest tertile had a higher odds of intensive care unit admission (aOR 4.47, 95% CI 2.33-8.58, P < 0.001) and intensive care unit transfer (aOR 3.54, 95% CI 1.84-6.81, P < 0.001).

CONCLUSIONS

The NLR score is a clinically useful tool to predict in-hospital mortality in older patients with COVID-19.

A Delphi consensus on the management of anticoagulation in the COVID-19 pandemic: the MONACO study

Background

During the COVID-19 pandemic, guideline documents on the management of anticoagulation were rapidly published. However, these documents did not follow a structured methodology, and significant differences existed between the guidelines. The aim of this expert consensus was to provide recommendations on the clinical management of oral anticoagulation in patients in the context of the COVID-19 pandemic.

Methods

A two-round Delphi study was conducted using an online survey. In the first round, panellists expressed their level of agreement with the items on a 9-point Likert scale. Items were selected if they received approval from ≥66.6% of panellists and if they were agreed by the scientific committee. In the second round, panellists revaluated those items that did not meet consensus in the first round.

Results

A total of 147 panellists completed the first round, and 144 of them completed the second round. Consensus was reached on 161 items included in five dimensions. These dimensions addressed: (I) management of anticoagulation in patients with atrial fibrillation (AF) without mechanical valves or moderate/severe mitral stenosis during COVID-19 infection; (II) thromboprophylaxis in patients hospitalised for COVID-19; (III) management of anticoagulation at hospital discharge/after COVID-19; (IV) anticoagulation monitoring in the COVID-19 pandemic setting; and (V) role of telemedicine in the management and follow-up of patients with AF in the COVID-19 pandemic setting.

Conclusions

These areas of collective agreement could specially guide clinicians in making decisions regarding anticoagulation in patients with COVID-19 during hospitalisation and at discharge, where results from clinical trials are still limited and, in some cases, conflicting.

Risk Factors and Predictive Model for Mortality of Hospitalized COVID-19 Elderly Patients from a Tertiary Care Hospital in Thailand

Background: Early detection of elderly patients with COVID-19 who are at high risk of mortality is vital for appropriate clinical decisions. We aimed to evaluate the risk factors associated with all-cause in-hospital mortality among elderly patients with COVID-19. Methods: In this retrospective study, the medical records of elderly patients aged over 60 who were hospitalized with COVID-19 at Thammasat University Hospital from 1 July to 30 September 2021 were reviewed. Multivariate logistic regression was used to identify independent predictors of mortality. The sum of weighted integers was used as a total risk score for each patient. Results: In total, 138 medical records of patients were reviewed. Four identified variables based on the odds ratio (age, respiratory rate, glomerular filtration rate and history of stroke) were assigned a weighted integer and were developed to predict mortality risk in hospitalized elderly patients. The AUROC of the scoring system were 0.9415 (95% confidence interval, 0.9033-0.9716). The optimized scoring system was developed and a risk score over 213 was considered a cut-off point for high mortality risk. Conclusions: A simple predictive risk score provides an initial assessment of mortality risk at the time of admission with a high degree of accuracy among hospitalized elderly patients with COVID-19.

Emotions, action strategies and expectations of health professionals and people with dementia regarding COVID-19 in different care settings in Switzerland: a mixed methods study

BACKGROUND

More than 55 million people are currently affected by dementia worldwide and over 144 thousand in Switzerland. In Swiss nursing homes, 47.6% of the residents had a medical diagnosis of dementia in 2014. Due to cognitive impairment, they have difficulties remembering hygiene measures or placing them in the epidemic context. This results in a higher infection risk. There are COVID-19-associated recommendations focused on dementia care management but studies simultaneously surveying and correlating perspectives of health professionals as well as people with dementia across care settings are largely lacking. This study is focused on COVID-19-associated perspectives and needs of health professionals and people with dementia across different care settings. Lessons learned from the pandemic shall be pointed out.

METHODS

We conducted a mixed-methods approach based on an exploratory sequential design. Two qualitative interview rounds (n = 15 participants) and a quantitative online survey (n = 148 participants) with people with dementia, caring relatives, Advanced Practice Nurses and nursing home managers (health professionals) were performed. Data collected was performed in nursing home and home-care settings. The SQRQ checklist was used.

RESULTS

Fear and uncertainty were highest at the beginning of the pandemic among the interviewed nursing professionals and nursing home managers. As a positive side effect of the pandemic, increased cohesion in care teams was reported. Some people with dementia experienced the decelerated outside world as pleasant and less challenging to master. Particularly during the first wave, nursing home managers rated political decision-making processes as being too slow, partly non-transparent, inconsistent, and sometimes inappropriate for people with dementia.

CONCLUSIONS

Although the identified emotional and physical consequences of the COVID-19 pandemic are mostly negative for health professionals and people with dementia, research should also investigate potential positive side effects. Furthermore, political decisions should be passed on to care institutions as promptly, transparently, and comprehensibly as possible. The results provide guidance on dementia-focused COVID-19 management interventions incorporating lessons learned and considering the emotional impact of the pandemic in Switzerland and beyond.

Role of Cardio-Renal Dysfunction, Inflammation Markers, and Frailty on In-Hospital Mortality in Older COVID-19 Patients: A Cluster Analysis

Our study aimed to identify clusters of hospitalized older COVID-19 patients according to their main comorbidities and routine laboratory parameters to evaluate their association with in-hospital mortality. We performed an observational study on 485 hospitalized older COVID-19 adults (aged 80+ years). Patients were aggregated in clusters by a K-medians cluster analysis. The primary outcome was in-hospital mortality. Medical history and laboratory parameters were collected on admission. Frailty, defined by the Clinical Frailty Scale (CFS), referred to the two weeks before hospitalization and was used as a covariate. The median age was 87 (83-91) years, with a female prevalence (59.2%). Three different clusters were identified: cluster 1 (337), cluster 2 (118), and cluster 3 (30). In-hospital mortality was 28.5%, increasing from cluster 1 to cluster 3: cluster 1 = 21.1%, cluster 2 = 40.7%, and cluster 3 = 63.3% (p < 0.001). The risk for in-hospital mortality was higher in clusters 2 [HR 1.96 (95% CI: 1.28-3.01)] and 3 [HR 2.87 (95% CI: 1.62-5.07)] compared to cluster 1, even after adjusting for age, sex, and frailty. Patients in cluster 3 were older and had a higher prevalence of atrial fibrillation, higher admission NT-proBNP and C-reactive protein levels, higher prevalence of concurrent bacterial infections, and lower estimated glomerular filtration rates. The addition of CFS significantly improved the predictive ability of the clusters for in-hospital mortality. Our cluster analysis on older COVID-19 patients provides a characterization of those subjects at higher risk for in-hospital mortality, highlighting the role played by cardio-renal impairment, higher inflammation markers, and frailty, often simultaneously present in the same patient.

Factors contributing to poor COVID-19 outcomes in diabetic patients: Findings from a single-center cohort study

Diabetes Mellitus (DM) is a frequent comorbidity in patients infected with the SARS-CoV-2 virus. The risk of developing severe or critical COVID-19 and higher mortality was observed to be increased in diabetic patients hospitalized due to COVID-19. In this study we aimed to find out the impact of clinical characteristics, comorbidities, laboratory results, and complications on the outcomes of diabetic patients hospitalized due to COVID-19. This article is a retrospective cohort study that include diabetic patients hospitalized with COVID-19 infection. A definition of diabetes was based on the past history of diabetes or if the HbA1c was 6.5% or higher. Demographics, clinical characteristics, comorbidities, laboratory results, and complications were extracted from the electronic medical records. The mortality rate increased with increasing age (from 5.56% in younger patients to 46% in the elderly) and with severity (from 25.71% in moderate cases to 43.77% in critical cases). We found that a critical severity on admission (OR: 5.26, 95% CI: 1.28-21.66, p = 0.0214), a history of stroke (OR: 8.37, 95% CI: 2.2-31.88, p = 0.0018), and low calcium levels on admission (OR: 2.23, 95% CI: 1.01-4.91, p = 0.0475) were significant risk factors predicting higher COVID-19 mortality in diabetic patients. The findings of this study suggest that reduced calcium levels could potentially indicate higher mortality due to COVID-19 in patients with DM. Furthermore, careful monitoring of diabetic patients hospitalized due to COVID-19 infection, especially those with critical disease severity or those with a history of stroke, may improve their outcome and lessen mortality.

The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis

BACKGROUND

The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients.

METHODS

The PubMed, Embase, Web of Science, CNKI, Wanfang, China Biomedical Literature, and VIP databases were systematically searched from inception to October 2022 to identify studies that evaluated the predictive effects of artificial intelligence on mortality among COVID-19 patients. The retrieved literature was screened according to the inclusion and exclusion criteria. The quality of the included studies was assessed using the QUADAS-2 tools. Statistical analysis of the included studies was performed using Review Manager 5.3, Stata 16.0, and Meta-DiSc 1.4 statistical software. This meta-analysis was registered in PROSPERO (CRD42022315158).

FINDINGS

Of 2193 studies, 23 studies involving a total of 25 AI models met the inclusion criteria. Among them, 18 studies explicitly mentioned training and test sets, and 5 studies did not explicitly mention grouping. In the training set, the pooled sensitivity was 0.93 [0.87, 0.96], the pooled specificity was 0.94 [0.87, 0.97], and the area under the ROC curve was 0.98 [0.96, 0.99]. In the validation set, the pooled sensitivity was 0.84 [0.78, 0.88], the pooled specificity was 0.89 [0.85, 0.92], and the area under the ROC curve was 0.93 [1.00, 0.00]. In the subgroup analysis, the areas under the summary receiver operating characteristic (SROC) curves of the artificial intelligence models KNN, SVM, ANN, RF and XGBoost were 0.98, 0.98, 0.94, 0.92, and 0.91, respectively. The Deeks funnel plot indicated that there was no significant publication bias in this study (P > 0.05).

INTERPRETATION

Artificial intelligence models have high accuracy in predicting mortality among COVID-19 patients and have high prognostic value. Among them, the KNN, SVM, ANN, RF, XGBoost, and other models have the highest levels of accuracy.

SARS-CoV-2 susceptibility and COVID-19 illness course and outcome in people with pre-existing neurodegenerative disorders: systematic review with frequentist and Bayesian meta-analyses

BACKGROUND

People with neurodegenerative disease and mild cognitive impairment (MCI) may have an elevated risk of acquiring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and may be disproportionally affected by coronavirus disease 2019 (COVID-19) once infected.

AIMS

To review all eligible studies and quantify the strength of associations between various pre-existing neurodegenerative disorders and both SARS-CoV-2 susceptibility and COVID-19 illness course and outcome.

METHOD

Pre-registered systematic review with frequentist and Bayesian meta-analyses. Systematic searches were executed in PubMed, Web of Science and preprint servers. The final search date was 9 January 2023. Odds ratios (ORs) were used as measures of effect.

RESULTS

In total, 136 primary studies (total sample size n = 97 643 494), reporting on 268 effect-size estimates, met the inclusion criteria. The odds for a positive SARS-CoV-2 test result were increased for people with pre-existing dementia (OR = 1.83, 95% CI 1.16-2.87), Alzheimer's disease (OR = 2.86, 95% CI 1.44-5.66) and Parkinson's disease (OR = 1.65, 95% CI 1.34-2.04). People with pre-existing dementia were more likely to experience a relatively severe COVID-19 course, once infected (OR = 1.43, 95% CI 1.00-2.03). People with pre-existing dementia or Alzheimer's disease were at increased risk for COVID-19-related hospital admission (pooled OR range: 1.60-3.72). Intensive care unit admission rates were relatively low for people with dementia (OR = 0.54, 95% CI 0.40-0.74). All neurodegenerative disorders, including MCI, were at higher risk for COVID-19-related mortality (pooled OR range: 1.56-2.27).

CONCLUSIONS

Our findings confirm that, in general, people with neurodegenerative disease and MCI are at a disproportionally high risk of contracting COVID-19 and have a poor outcome once infected.

Prevalence of Cardiovascular Complications in Coronavirus Disease 2019 adult Patients: A Systematic Review and Meta-Analysis

Background

It has been found that the new coronavirus can affect various parts of the cardiovascular system. Cardiovascular complications caused by coronavirus disease 2019 (COVID-19) are often serious and can increase the mortality rate among infected patients. This study aimed to investigate the prevalence of cardiovascular complications in COVID-19 adult patients.

Methods

A systematic review and meta-analysis of observational studies published in English were conducted between December 2019 and February 2021. A complete search was performed in PubMed (PubMed Central and MEDLINE), Google Scholar, Cochrane Library, Science Direct, Ovid, Embase, Scopus, CINAHL, Web of Science, and WILEY, as well as BioRXiv, MedRXiv, and gray literature. A random effect model was used to examine the prevalence of cardiovascular complications among COVID-19 patients. The I2 test was used to measure heterogeneity across the included studies.

Results

A total of 74 studies involving 34,379 COVID-19 patients were included for meta-analysis. The mean age of the participants was 61.30±14.75 years. The overall pooled prevalence of cardiovascular complications was 23.45%. The most prevalent complications were acute myocardial injury (AMI) (19.38%, 95% CI=13.62-26.81, test for heterogeneity I2=97.5%, P<0.001), arrhythmia (11.16%, 95% CI=8.23-14.96, test for heterogeneity I2=91.5%, P<0.001), heart failure (HF) (7.56%, 95% CI=4.50-12.45, test for heterogeneity I2=96.3%, P<0.001), and cardiomyopathy (2.78%, 95% CI=0.34-9.68). The highest pooled prevalence of cardiac enzymes was lactate dehydrogenase (61.45%), troponin (23.10%), and creatine kinase-myocardial band or creatine kinase (14.52%).

Conclusion

The high prevalence of serious cardiovascular complications in COVID-19 patients (AMI, arrhythmia, and HF) necessitates increased awareness by healthcare administrators.

Predictors of adverse outcomes in aged patients critically ill with COVID-19: a retrospective study

Older patients represent an inordinate proportion of intensive care unit (ICU) admissions and ICU mortality associated with coronavirus disease 2019 (COVID-19). In this retrospective cohort study, we examine 198 patients, aged 18 years or older, admitted to the ICU from March to June 2020. We aim to understand the relationships between age, number of comorbidities, and independent living prior to admission on outcomes of mortality, length of stay, renal failure, respiratory failure, and shock. In this cohort, we find that overall mortality was associated with respiratory failure severity (for every decrease of P:F by 50, odds ratio (OR) 2.98 (1.65-6.08)), acute renal failure (OR 4.61 (1.2-19.7)), and age 65 or greater (OR: 3.7 (1.86-7.36)). Surprisingly, increasing age was associated with less severe respiratory failure (R = 0.22, p < 0.01). When adjusting for pre-existing chronic kidney disease, age was not associated with development of acute kidney injury (OR: 1.01 (0.99-1.03)). While chronologic age is associated with mortality, it is not associated independently with severe end organ damage. This is consistent with growing evidence suggesting that a complex interplay between multimorbidity, immunosenescence, and physiologic age is primarily responsible for the vulnerability to COVID-19.

Comorbidities associated with COVID-19 mortality in adults in Lima, Peru: a retrospective cohort study

OBJECTIVES.

Motivation for the study. During the COVID-19 pandemic, the mortality rate from this disease was higher in adults and the elderly. Therefore, it is important to identify the factors that were associated with mortality from COVID-19 in adults, by age group. Main findings. Chronic neurological disease, kidney disease, liver disease, and cancer increased the risk of dying from COVID-19 in the three age groups we analyzed, which were made up of hospitalized patients from Lima and Callao. The risk of mortality associated with comorbidities was higher in patients aged 18 to 29. Implications. This study helps to identify the groups of patients with the highest risk of death from COVID-19, according to age group and type of comorbidity. . To evaluate comorbidities associated with mortality in adult patients hospitalized due to COVID-19 in hospitals in Lima and Callao.

MATERIALS AND METHODS.

In this retrospective cohort study, we analyzed data from adult patients hospitalized due to COVID-19 reported to the National Epidemiological Surveillance System of the Peruvian Ministry of Health from March to October 2020. We estimated relative risks with 95% confidence intervals using Poisson regression models with robust variance to assess comorbidities associated with mortality by age group: young adults (18-29 years), adults (30-59 years) and older adults (≥60 years).

RESULTS.

We included 2366 young adults, 23,781 adults and 25,356 older adults. Older adults had the highest mortality (63.7%) compared to adults (27.1%) and young adults (8.5%). Regardless of age group, the presence of neurological disease, renal disease, liver disease, and cancer was associated with an increased risk of mortality. Additionally, cardiovascular disease was also a risk factor in young adults; obesity, diabetes, cardiovascular disease, chronic lung disease, and immunodeficiency in adults; and obesity and chronic lung disease in the elderly.

CONCLUSIONS.

Regardless of age groups, individuals with chronic neurologic disease, renal disease, liver disease, and cancer were at high risk of death from COVID-19.

Impact of frailty on the performance of the National Early Warning Score 2 to predict poor outcome in patients hospitalised due to COVID-19

BACKGROUND

The National Early Warning Score 2 (NEWS2) is a scoring tool predictive of poor outcome in hospitalised patients. Older patients with COVID-19 have increased risk of poor outcome, but it is not known if frailty may impact the predictive performance of NEWS2. We aimed to investigate the impact of frailty on the performance of NEWS2 to predict in-hospital mortality in patients hospitalised due to COVID-19.

METHODS

We included all patients admitted to a non-university Norwegian hospital due to COVID-19 from 9 March 2020 until 31 December 2021. NEWS2 was scored based on the first vital signs recorded upon hospital admission. Frailty was defined as a Clinical Frailty Scale score ≥ 4. The performance of a NEWS2 score ≥ 5 to predict in-hospital mortality was assessed with sensitivity, specificity and area under the receiver operating characteristic curve (AUROC) according to frailty status.

RESULTS

Out of 412 patients, 70 were aged ≥ 65 years and with frailty. They presented less frequently with respiratory symptoms, and more often with acute functional decline or new-onset confusion. In-hospital mortality was 6% in patients without frailty, and 26% in patients with frailty. NEWS2 predicted in-hospital mortality with a sensitivity of 86%, 95% confidence interval (CI) 64%-97% and AUROC 0.73, 95% CI 0.65-0.81 in patients without frailty. In older patients with frailty, sensitivity was 61%, 95% CI 36%-83% and AUROC 0.61, 95% CI 0.48-0.75.

CONCLUSION

A single NEWS2 score at hospital admission performed poorly to predict in-hospital mortality in patients with frailty and COVID-19 and should be used with caution in this patient group. Graphical abstract summing up study design, results and conclusion.

Evaluation of Inflammation-Based Prognostic Risk Scores in Predicting in-Hospital Mortality Risk in COVID-19 Patients: A Cross-Sectional Retrospective Study

Objective

Systemic inflammatory parameters are predictors of poor prognosis in COVID-19 patients. This study evaluated whether the prognostic nutritional index, which was also related to nutrition risk and other inflammation-based prognostic scores, was predictive of in-hospital mortality in COVID-19 patients.

Materials and Methods

This was a retrospective cross-sectional single-center study. Based on the exclusion criteria, 151 patients over 18 years old diagnosed with COVID-19 and hospitalized in the intensive care unit between March 2020 and December 2020 were eligible for this study. Multivariable logistic regression analysis was performed to evaluate the predictive value of the Glasgow Prognostic Score (GPS), Prognostic Index (PI), Prognostic Nutritional Index (PNI), and Systemic Inflammatory Index (SII).

Results

In the univariate analyses, age, diabetes mellitus (DM), chronic kidney disease, acute kidney injury, hypothyroidism, hospitalization stay, lactate dehydrogenase (LDH), aspartate aminotransferase (AST), D-dimer, ferritin, C-reactive protein (CRP), albumin, hemoglobin level, platelet count, urea, creatinine level, PNI, GPS were significantly associated with mortality. However, in the multivariable logistic regression analysis of the inflammation-based prognostic scores, only PNI was statistically significant in predicting in-hospital mortality (OR=0.83; [95% CI=0.71-0.97]; p =0.019).

Conclusion

PNI is a more useful and powerful tool among these inflammation-based prognostic risk scores in predicting in-hospital mortality in COVID-19 patients.

Vaccination saves lives: a real-time study of patients with chronic diseases and severe COVID-19 infection

OBJECTIVES

This study aims to describe the demographic and clinical profile and ascertain the determinants of outcome among hospitalized coronavirus disease 2019 (COVID-19) adult patients enrolled in the National Clinical Registry for COVID-19 (NCRC).

METHODS

NCRC is an on-going data collection platform operational in 42 hospitals across India. Data of hospitalized COVID-19 patients enrolled in NCRC between 1st September 2020 to 26th October 2021 were examined.

RESULTS

Analysis of 29 509 hospitalized, adult COVID-19 patients [mean (SD) age: 51.1 (16.2) year; male: 18 752 (63.6%)] showed that 15 678 (53.1%) had at least one comorbidity. Among 25 715 (87.1%) symptomatic patients, fever was the commonest symptom (72.3%) followed by shortness of breath (48.9%) and dry cough (45.5%). In-hospital mortality was 14.5% (n = 3957). Adjusted odds of dying were significantly higher in age group ≥60 years, males, with diabetes, chronic kidney diseases, chronic liver disease, malignancy and tuberculosis, presenting with dyspnoea and neurological symptoms. WHO ordinal scale 4 or above at admission carried the highest odds of dying [5.6 (95% CI: 4.6-7.0)]. Patients receiving one [OR: 0.5 (95% CI: 0.4-0.7)] or two doses of anti-SARS CoV-2 vaccine [OR: 0.4 (95% CI: 0.3-0.7)] were protected from in-hospital mortality.

CONCLUSIONS

WHO ordinal scale at admission is the most important independent predictor for in-hospital death in COVID-19 patients. Anti-SARS-CoV2 vaccination provides significant protection against mortality.

Is Dementia Associated with COVID-19 Mortality? A Multicenter Retrospective Cohort Study Conducted in 50 Hospitals in Germany

BACKGROUND

Dementia has been identified as a major predictor of mortality associated with COVID-19.

OBJECTIVE

The objective of this study was to investigate the association between dementia and mortality in COVID-19 inpatients in Germany across a longer interval during the pandemic.

METHODS

This retrospective study was based on anonymized data from 50 hospitals in Germany and included patients with a confirmed COVID-19 diagnosis hospitalized between March 11, 2020 and July, 20, 2022. The main outcome of the study was the association of mortality during inpatient stays with dementia diagnosis, which was studied using multivariable logistic regression adjusted for age, sex, and comorbidities as well as univariate logistic regression for matched pairs.

RESULTS

Of 28,311 patients diagnosed with COVID-19, 11.3% had a diagnosis of dementia. Prior to matching, 26.5% of dementia patients and 11.5% of non-dementia patients died; the difference decreased to 26.5% of dementia versus 21.7% of non-dementia patients within the matched pairs (n = 3,317). This corresponded to an increase in the risk of death associated with dementia (OR = 1.33; 95% CI: 1.16-1.46) in the univariate regression conducted for matched pairs.

CONCLUSION

Although dementia was associated with COVID-19 mortality, the association was weaker than in previously published studies. Further studies are needed to better understand whether and how pre-existing neuropsychiatric conditions such as dementia may impact the course and outcome of COVID-19.

Elderly Patients and Management in Intensive Care Units (ICU): Clinical Challenges

There is a growing population of older adults requiring admission to the intensive care unit (ICU). This population outpaces the ability of clinicians with geriatric training to assist in their management. Specific training and education for intensivists in the care of older patients is valuable to help understand and inform clinical care, as physiologic changes of aging affect each organ system. This review highlights some of these aging processes and discusses clinical implications in the vulnerable older population. Other considerations when caring for these older patients in the ICU include functional outcomes and morbidity, as opposed to merely a focus on mortality. An overall holistic approach incorporating physiology of aging, applying current evidence, and including the patient and their family in care should be used when caring for older adults in the ICU.

The global case fatality rate due to COVID-19 in hospitalized elderly patients by sex, year, gross domestic product, and continent: A systematic review, meta-analysis, and meta-regression

Background

Although elderly people are at a huge risk of mortality due to COVID-19, the Case Fatality Rate (CFR) in hospitalized elderly patients is poorly investigated. This meta-analysis and meta-regression aimed to generate pooled CFR due to COVID-19 in hospitalized elderly patients by sex, Gross Domestic Product (GDP), year, and continent and also to explain the potential source of the heterogeneity and variations in the pooled estimation of COVID-19 CFR.

Methods

We systematically searched PubMed, Scopus, Web of Science, CINAHL, and Embase up to 31 July 2022. Eligibility assessment of records was performed independently in a blinded, standardized way by two reviewers. Meta-analysis and Meta-regression analysis were carried out to estimate pooled CFR and the potential sources of the heterogeneity.

Results

The study included 5683 confirmed hospitalized elderly COVID-19 patients, 1809 deaths, and 19 original articles from 10 countries. The pooled estimate of the overall CFR, and by male and female sexes were 29%, 34%, and 24%, respectively. We found CFR was decreased by increasing female sex proportion, GDP, and year of publication. Multivariate meta-regression analysis indicated that the age and sex of patients, continent, GDP, and year of the publication together explained the majority of the heterogeneity and variations in the pooled estimate of the hospitalized elderly COVID-19 CFR.

Conclusions

This review provided reliable pooled CFR measures for hospitalized elderly patients with COVID-19. Although COVID-19 fatality has decreased in hospitalized elderly patients over time, it is still high in hospitalized elderly patients and needs advanced treatment support.

Discrepancies in Outcomes by Race and Ethnicity in COVID-19 Patients Receiving Casirivimab and Imdevimab

OBJECTIVES

The Centers for Disease Control and Prevention has reported increased rates of coronavirus disease 2019 (COVID-19)-related hospitalizations and deaths in Black and Hispanic individuals. One contributing factor to this may be a difference in access to treatment. We thus sought to compare the outcomes of Black, non-Hispanic patients and Hispanic patients with White, non-Hispanic individuals using a group of patients with COVID-19 who received casirivimab/imdevimab.

METHODS

This was a secondary analysis of data from a previously published retrospective chart review of patients who received casirivimab/imdevimab for COVID-19 between December 9, 2020 and August 20, 2021, when they were treated at one of three facilities within a single hospital system. We compared the baseline characteristics (including age, sex, body mass index, duration of symptoms, and vaccination status) and outcomes of Black, non-Hispanic patients and Hispanic patients with those of White, non-Hispanic patients. Our primary outcome was the odds of a return visit to the emergency department (ED) within 28 days of treatment as assessed by multivariate logistic regression. We also assessed the rates of return visits to the ED for symptoms caused by COVID-19, hospitalizations, and hospitalizations from hypoxia.

RESULTS

In total, 1318 patients received casirivimab/imdevimab for COVID-19 at the three study facilities. Of these, 410 (31.1%) identified themselves as White and non-Hispanic, 88 (6.7%) as Black and non-Hispanic, and 736 (55.8%) as Hispanic. Vaccination rates at the time of treatment were as follows: Black, non-Hispanic 10.2%, Hispanic 13.6%, and White, non-Hispanic 21.5%. On multivariate analysis, the odds of return visits to the ED within 28 days were higher for Black, non-Hispanic patients and Hispanic patients as compared with White, non-Hispanic patients, with odds ratios of 2.8 (95% confidence interval [CI] 1.4-5.5, P = 0.003) and of 2.3 (95% CI 1.5-3.6, P = 0.0002), respectively. For hospitalizations caused by hypoxia within 28 days of treatment, the adjusted odds ratio for Black, non-Hispanic patients was 3.4 (95% CI 1.1-10.5, P = 0.03) as compared with White, non-Hispanic patients. There were no other statistically significant differences among groups in regard to subsequent hospitalizations within 28 days.

CONCLUSIONS

Black, non-Hispanic patients and Hispanic patients are more likely to make a return visit to the ED within 28 days after casirivimab/imdevimab treatment for COVID-19 as compared with White, non-Hispanic patients. This holds true even when adjusting for higher vaccination rates among White, non-Hispanic individuals.

Combining a Frailty Index Based on Laboratory Data and Pneumonia Severity Assessments to Predict In-Hospital Outcomes in Older Adults with Community-Acquired Pneumonia

OBJECTIVES

Due to the increased morbidity, mortality, and cost of community-acquired pneumonia (CAP) in older people, strategies directed at improving disease evaluation and prevention are imperative. We independently compared the 30-day in-hospital mortality prediction ability of a frailty index based on laboratory data (FI-Lab) with that of the CURB-65 and the Pneumonia Severity Index (PSI) and then proposed combining them to further improve prediction efficiency.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Patients aged ≥ 65 years (n = 2039) with CAP who were admitted to Jiangsu Provincial People's Hospital of Nanjing Medical University and Jiangsu Provincial Hospital of Chinese Medicine from January 2019 to June 2022.

MEASURES

The 29-item FI-Lab, PSI and, CURB-65 were administered at admission. We defined frailty by the cut-off value of the FI-Lab score (> 0.43). Multivariable logistic regression analysis, together with the calculation of the area under the receiver operating characteristic curve (ROC-AUC), was conducted to identify stratified risks and relationships between the three indices and 30-day mortality. Participants were divided into the following three groups based on age: 65-74 years, 75-84 years, and ≥ 85 years. Hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality due to frailty were calculated.

RESULTS

A total of 495 participants ranging from 65 to 100 years of age were ultimately included and divided into age groups (65-74 years, n = 190, 38.4%; 75-84 years, n = 183, 37.0%; ≥ 85 years, n = 122, 24.6%). A total of 142 (28.7%) of the 495 patients were defined as having frailty. All three scores tested in this study were significantly associated with 30-day mortality in the total sample. The ORs were as follows: 1.06 (95% CI: 1.03-1.09, P < 0.001) and 2.33 (95% CI: 1.26-4.31, P = 0.007) for the FI-Lab when the score was treated as a continuous and categorical variable, respectively; 1.04 (95% CI: 1.02-1.05, P < 0.001) for the PSI; and 3.70 (95% CI: 2.48-5.50, P < 0.001) for the CURB-65. In the total sample, the ROC-AUCs were 0.783 (95% CI: 0.744-0.819) for the FI-Lab, 0.812 (95% CI: 0.775-0.845) for the PSI, and 0.799 (95% CI: 0.761-0.834) for the CURB-65 (P < 0.001). The ROC-AUC slightly improved when the FI-Lab was added to the PSI (AUC 0.850, 95% CI: 0.809-0.892, P = 0.031) and to the CURB-65 (AUC 0.839, 95% CI: 0.794-0.885, P = 0.002). Older patients with frailty showed a higher risk of in-hospital mortality, with an HR of 2.25 (95% CI: 1.14-3.58, P < 0.001).

CONCLUSION AND IMPLICATIONS

The FI-Lab seems to generate simple and readily available data, suggesting that it could be a useful complement to the CURB-65 and the PSI as effective predictors of 30-day mortality due to CAP in older populations.

Potentially inappropriate medications based on TIME criteria and risk of in-hospital mortality in COVID-19 patients

OBJECTIVE

This study aimed to evaluate the relationship between hospital admission potentially inappropriate medications use (PIM) and in-hospital mortality of COVID-19, considering other possible factors related to mortality.

METHODS

The Turkish inappropriate medication use in the elderly (TIME) criteria were used to define PIM. The primary outcome of this study was in-hospital mortality.

RESULTS

We included 201 older adults (mean age 73.1±9.4, 48.9% females). The in-hospital mortality rate and prevalence of PIM were 18.9% (n=38) and 96% (n=193), respectively. The most common PIM according to TIME to START was insufficient vitamin D and/or calcium intake per day. Proton-pump inhibitor use for multiple drug indications was the most prevalent PIM based on TIME to STOP findings. Mortality was related to PIM in univariate analysis (p=0.005) but not in multivariate analysis (p=0.599). Older age (hazards ratio (HR): 1.08; 95% confidence interval (CI): 1.02-1.13; p=0.005) and higher Nutritional Risk Screening 2002 (NRS-2002) scores were correlated with in-hospital mortality (HR: 1.29; 95%CI 1.00-1.65; p=0.042).

CONCLUSION

Mortality was not associated with PIM. Older age and malnutrition were related to in-hospital mortality in COVID-19.

Hospital mortality among COVID-19 patients - Experience of a multi-disciplinary tertiary care teaching hospital of Chhattisgarh in Central India

Introduction

The mortality from coronavirus disease 2019 (COVID-19) infection and the severity of it vary among populations. There is a dearth of research on epidemiology and clinical outcomes in central Indian populations with COVID-19. Our aim was to provide an analysis of all hospitalized mortality among patients with COVID-19 infection in a tertiary care hospital of Chhattisgarh in central India. This analysis helped us to know the severity predictors for mortality and in future will help the authorities to formulate a plan to decrease the mortality in the epidemic or uncertain ongoing pandemic.

Methodology

This was a retrospective observational study using the hospital-based record of multi-disciplinary teaching hospital in Chhattisgarh, India. All COVID-19 reverse-transcriptase polymerase chain reaction-positive patients who were declared dead or died during the course of treatment from April 1, 2020 to March 31, 2021 were included in the study. In-hospital mortality was the primary outcome of interest. In secondary analysis, age and gender distribution, co-morbidity, length of stay, and the cause of death were also investigated.

Results

A total of 7495 patients with a confirmed diagnosis of COVID-19 were enrolled in the study, of whom 762 (10.16%) died in the hospital with COVID-19 as the primary cause of death. The majority of the patients were more than 60 years of age (45.7%). A total of 416 (54.4%) of the deceased patients were having co-morbidity with diabetes (13.4%), hypertension (16.4%), or both (24.4%). The majority of the patients who succumbed had a hospital stay of less than a week (≤7) (68.5%). More than half of the patients (58.3%) who expired had referred and reported to the hospital in the second or third week of illness. The respiratory system involvement was the dominant contributor of death with pneumonia (78.8%) being the most common cause, followed by acute respiratory distress syndrome (62.2%). 13.6% of expired patients had multiple system involvement, and 11.2% had sepsis as well.

Conclusion

Mortality in COVID-19 patients was associated with advanced age, co-morbidities such as diabetes and hypertension, and delay in hospitalization. These are high-risk groups and should be vaccinated against COVID-19 on priority.

COVID-19 in Older Individuals Requiring Hospitalization

Older individuals have an increased risk for severe coronavirus disease 2019 (COVID-19) and a higher risk for complications and death. The aim of this study was to investigate the clinical characteristics of older patients admitted with COVID-19 and describe their outcomes. This was a retrospective cohort study of patients older than 65 years admitted to the COVID-19 Department of the University Hospital of Heraklion. Data recorded and evaluated included age, gender, Infectious Diseases Society of America (IDSA) severity score, Charlson comorbidity index (CCI), high-flow nasal oxygen (HFNO) use, admission to the Intensive Care Unit (ICU), laboratory exams, treatment administered, and outcome. In total, 224 patients were evaluated in the present study. The median age was 75 years and 105 (46.9%) were female. In 50 patients (22.7%), HFNO was used and 23 (10.3%) were admitted to the ICU. Mortality was 13.4% (30 patients). Patients that died had higher age, were more likely to be male, had an IDSA severity score of 3, had prior HFNO use, had been admitted to the ICU, and were also more likely to have a higher white blood cell (WBC) count, CRP, ferritin, procalcitonin, d-dimers, and troponin. A multivariate logistic regression analysis identified age and the need for HFNO use to be independently positively associated with mortality. To conclude, COVID-19 carries significant mortality in hospitalized older patients, which increases with age, while the need for HFNO also increased the likelihood of worse outcomes. Clinicians caring for patients with COVID-19 should bear in mind these two factors. Future studies could elaborate on the effect of new variants on the dynamics of mortality in older patients.

Beta receptor blocker therapy for the elderly in the COVID-19 era

When the coronavirus disease 2019 (COVID-19) pandemic spread globally from the Hubei region of China in December 2019, the impact on elderly people was particularly unfavorable. The mortality associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was highest in older individuals, in whom frailty and comorbidities increased susceptibility to severe forms of COVID-19. Unfortunately, in older patients, the course of COVID-19 was often characterized by significant cardiovascular complications, such as heart failure decompensation, arrhythmias, pericarditis, and myopericarditis. Ensuring that the elderly have adequate therapeutic coverage against known cardiovascular diseases and risk factors is particularly important in the COVID-19 era. Beta blockers are widely used for the treatment and prevention of cardiovascular disease. The clinical benefits of beta blockers have been confirmed in elderly patients, and in addition to their negative chronotropic effect, sympathetic inhibition and anti-inflammatory activity are theoretically of great benefit for the treatment of COVID-19 infection. Beta blockers have not been clearly shown to prevent SARS-CoV-2 infection, but there is evidence from published studies including elderly patients that beta blockers are associated with a more favorable clinical course of COVID-19 and reduced mortality. In this minireview, we summarize the most important evidence available in the literature on the usefulness of beta blocker therapy for older patients in the context of the COVID-19 pandemic.

Incidence and predictors of death from COVID-19 among patients admitted to treatment center of Wollega University Referral Hospital, Western Ethiopia: A retrospective cohort study

Introduction

Currently, COVID-19 contributes to mortality and morbidity in developed as well as in developing countries since December 2019. However, there is scarcity of evidence regarding the incidence and predictors of death among patients admitted with COVID-19 in developing country including Ethiopia, where the numbers of deaths are under-reported. Hence, this study aimed to assess the incidence and predictors of death among patients admitted with COVID-19 in Wollega University Referral Hospital (WURH), western Ethiopia.

Methods

An institution based retrospective cohort study design was conducted among 318 patients admitted with COVID-19 in WURH treatment center. Patients who were tested positive for COVID-19 by using rRT-PCR test and admitted with the diagnosis of severe COVID-19 cases from September 30, 2020 to June 10, 2021 were a source population. Epidata version 3.2 was used for data entry, and STATA version 14 for analysis. A Cox proportional hazard regression analysis was used to determine factors associated with mortality from COVID-19. Multivariable Cox regression model with 95% CI and Adjusted Hazard Ratio (AHR) was used to identify a significant predictor of mortality from COVID-19 at p-value < 0.05.

Results

A total of 318 patients were included in final analysis with mean age of 44 (SD±16.7) years and about two third (67.9%) were males. More than half (55.7%) of patients had no comorbidity on admission. The majority, 259 (81.45%) of patients recovered from COVID-19 and 267 (84%) of patients were censored at the end of follow up. The incidence rate of mortality was 14.1 per/1000 (95%CI: 10.7, 18.5) person days observation. Age ≥ 59 years (AHR: 5.76, 95%CI: 2.58, 12.84), low oxygen saturation (AHR: 2.34, 95% CI: (2.34, 4.17), and delayed presentation (AHR: 5.60, 95%CI: 2.97, 10.56) were independent predictors of mortality among COVID-19 patients.

Conclusion

The mortality rate of COVID-19 pandemic was high in the study area, and most of death was happened during the first 10 days. Being old age, low oxygen saturation and delayed presentation were factors which predict mortality due to COVID-19. Hence, strengthening the health care delivery system to satisfy the need of the patients should get due attention to reduce the incidence of mortality from COVID-19 cases.

Patient Perspectives on the COVID-19 Vaccine: A Pilot Survey Study of Patients in Endocrinology Clinics

Objective

Vaccine hesitancy is an impediment to fighting the COVID-19 pandemic. Endocrinology clinics routinely see patients who are at high risk of a more aggressive form of COVID-19, including patients with diabetes, obesity, and hypertension. As patients with endocrine-related conditions often require multiple visits each year, endocrinology clinics provide a significant opportunity for vaccine education. The aim of our study was to evaluate patient perspectives about COVID-19 vaccination in outpatient endocrinology clinics.

Methods

A pilot survey study of patients who visited 3 endocrinology clinics between May 31, 2021, and June 18, 2021. A 7-item questionnaire explored the patients’ perspectives and behaviors regarding COVID-19 vaccination. Data were analyzed with descriptive statistics.

Results

A total of 446 patients from 3 clinic locations (1 urban and 2 suburbans) completed our survey. There were 361 (81%) patients who indicated that they were planning to or had already received the COVID-19 vaccination, 56 (13%) reported no intent for vaccination, and 29 (7%) were unsure. Of the 85 patients who were unsure or did not intend to be vaccinated, 43 (51%) were Black, 30 (35%) were White, and 4 (5%) had other racial/ethnic identities. When asked about vaccine hesitancy, 25 (29%) wanted to wait and see how the others responded to the vaccine, 20 (24%) had concerns about the side effects, 12 (14%) did not believe in vaccines, and 11 (13%) felt that COVID-19 was not as bad as the media had portrayed it. Significantly more Black patients had vaccine hesitancy than White patients (P = .035).

Conclusion

Although most endocrinology patients were amenable to COVID-19 vaccination, a subpopulation still expressed vaccine hesitancy, indicating that endocrinology clinics may be an ideal place for targeted vaccine education.

COVID-19'da hastane içi mortaliteyi tahmin etmede enflamatuvar temelli parametrelerin ve MELD-XI skorunun 4C mortalite skoru ile karşılaştırılması

Purpose: In this study, we compared the roles of inflammatory parameters such as neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), C-reactive protein/lymphocyte ratio (CLR), monocyte/lymphocyte ratio (MLR), neutrophil/platelet ratio (NPR), neutrophil/monocyte ratio (NMR), CRP/albumin ratio (CAR), BUN/albumin ratio (BAR), MELD-XI score and 4C mortality score in predicting in-hospital mortality risk in COVID-19. Materials and Methods: A total of 117 patients over 18 years old with a PCR-confirmed diagnosis of COVID-19 between June 2020 and February 2021 were retrospectively included. The roles of parameters for independently predicting in-hospital mortality were determined and compared with each other using appropriate statistical methods. Results: Age, chronic kidney disease, diabetes mellitus, acute kidney injury, and length of hospital stay, urea, creatinine, LDH, AST, ferritin, D-dimer, CRP, albumin, Hb, CLR, BAR, CAR, MELD-XI score, and 4C mortality score were significantly correlated to in-hospital mortality. However, only the 4C mortality score and AST independently predicted in-hospital mortality in COVID-19 [OR 2.08 (%95 CI 1.06-2.36), for 4C mortality score, and OR 1.05 (%95 CI 1.00-1.10), for AST]. Conclusion: Unlike other mortality-related inflammatory parameters, the 4C mortality score and AST were independent and strong predictors of mortality in hospitalized COVID-19 patients.

Clinical Characteristics and Predictors of Mortality in Elderly Patients Hospitalized with COVID-19 in Bangladesh: A Multicenter, Retrospective Study

Purpose

Elderly patients are at high risk of fatality from COVID-19. The present work aims to describe the clinical characteristics of elderly inpatients with COVID-19 and identify the predictors of in-hospital mortality at admission.

Materials and Methods

In this retrospective, multicenter cohort study, we included elderly COVID-19 inpatients (n = 245) from four hospitals in Sylhet, Bangladesh, who had been discharged between October 2020 and February 2021. Demographic, clinical, and laboratory data were extracted from hospital records and compared between survivors and nonsurvivors. We used univariable and multivariable logistic regression analysis to explore the risk factors associated with in-hospital death. Principal Results. Of the included patients, 202 (82.44%) were discharged and 43 (17.55%) died in hospital. Except hypertension, other comorbidities like diabetes, chronic kidney disease, ischemic heart disease, and chronic obstructive pulmonary disease were more prevalent in nonsurvivors. Nonsurvivors had a higher prevalence of leukocytosis (51.2 versus 30.7; p=0.01), lymphopenia (72.1 versus 55; p=0.05), and thrombocytopenia (20.9 versus 9.9; p=0.07). Multivariable regression analysis showed an increasing odds ratio of in-hospital death associated with older age (odds ratio 1.05, 95% CI 1.01–1.10, per year increase; p=0.009), thrombocytopenia (OR = 3.56; 95% CI 1.22–10.33, p=0.019), and admission SpO₂ (OR 0.91, 95% CI 0.88–0.95; p=0.001).

Conclusions

Higher age, thrombocytopenia, and lower initial level of SpO₂ at admission are predictors of in-hospital mortality in elderly patients with COVID-19.

Sociodemographic predictors of confirmed COVID-19 mortality and hospitalization among patients in Saudi Arabia: Analyzing a national COVID-19 database

BACKGROUND

Even with the widespread availability of vaccines for the COVID-19 disease, there is no sign of decline in the rate of spread of the disease. Based on findings of different studies across the globe, the disease is characterized by poor outcomes in specific sociodemographic categories such as age, gender and presence of symptoms.

METHODS

In this study, we carried out a multivariable logistic regression analysis on a national database (HESN+) of confirmed COVID-19 cases in Saudi Arabia to determine predictors of hospitalization and mortality for these patients.

RESULTS

Data was extracted for 328,301 confirmed COVID- 19 patients (mean age (SD) = 37.79 (1.68)) with 34.92% females and 65.08% males. Of these, 59.87% were Saudi Arabian citizens and 40.13% were non-Saudi. 68.91% of cases were discovered in Riyadh (n = 67,384), Makkah (n = 72,590) and the Eastern Province (n = 79,666). 72.2% of all cases were diagnosed and treated by the Ministry of Health (MOH). Of all confirmed cases, 95.28% showed one or more symptoms associated with COVID-19. 5.48% of these were hospitalized and 1.11% died. Predictors of mortality and hospitalization, respectively, included age (OR; 1.088 and 1.03), being male (OR; 1.443 and 1.138), nationality (OR; 2.11 and 1.993), presence of symptoms (OR; 1.816 and 4.386), and the health care sector in which patients received treatment (MOH OR; 1.352 and 4.731).

CONCLUSION

We found that COVID-19-related hospitalization or mortality was higher among males, older adults, and patients showing one or more symptoms, and mortality likelihood was more than fourfold for patients treated by the MOH. Immigrants were also more likely to be hospitalized or die from COVID-19 infection compared to Saudi nationals.

Comorbidities and increased mortality of COVID-19 among the elderly: A systematic review

Purpose

The purpose of current review is to conduct a systematic overview of articles published between 2019 and 2021 on the relationship of comorbidities and mortality due to Coronavirus Disease 2019 (COVID-19) among the elderly population.

Methods

We conducted a systematic search on PubMed for articles published between 2019 and 2021 to identify any cohort and case-control studies that investigated the relationship of comorbidities and COVID-19 mortality among the elderly, defined as 60 years of age and above. Databases were searched independently by two authors. Disagreements were resolved by the inclusion of a third investigator. Reviews, systematic reviews, and meta-analyses were excluded from our systematic review.

Results

A total of 15 studies were selected for our systematic review. Of the included studies, 3 were case-control, 3 were prospective cohort studies and 9 were retrospective cohort studies. As for size, 10 studies were conducted on populations of <1000 participants, 3 ranging from 1001 to 10,000, and 2 on populations of >10,000 individuals. The included studies found that the presence of certain conditions, such as cardiovascular, respiratory, renal diseases, malignancies, diseases of the nervous system and diabetes are associated to increased mortality in populations that consisted of elderly patients.

Conclusion

Results of our systematic review suggest that comorbidities contribute to increased COVID-19 mortality among the elderly. The detrimental effect of comorbidities and advanced age on the immune response could lead to a more frequent occurrence of symptomatic and severe infections with COVID-19.

Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis synthesized the evidence on the impacts of demographics and comorbidities on the clinical outcomes of COVID-19, as well as the sources of the heterogeneity and publication bias of the relevant studies. Two authors independently searched the literature from PubMed, Embase, Cochrane library, and CINAHL on 18 May 2021; removed duplicates; screened the titles, abstracts, and full texts by using criteria; and extracted data from the eligible articles. The variations among the studies were examined by using Cochrane, Q.; I2, and meta-regression. Out of 11,975 articles that were obtained from the databases and screened, 559 studies were abstracted, and then, where appropriate, were analyzed by meta-analysis (n = 542). COVID-19-related severe illness, admission to the ICU, and death were significantly correlated with comorbidities, male sex, and an age older than 60 or 65 years, although high heterogeneity was present in the pooled estimates. The study design, the study country, the sample size, and the year of publication contributed to this. There was publication bias among the studies that compared the odds of COVID-19-related deaths, severe illness, and admission to the ICU on the basis of the comorbidity status. While an older age and chronic diseases were shown to increase the risk of developing severe illness, admission to the ICU, and death among the COVID-19 patients in our analysis, a marked heterogeneity was present when linking the specific risks with the outcomes.

Incidence and predictors of mortality among COVID-19 patients admitted to treatment centers in North West Ethiopia; a retrospective cohort study, 2021

Background

Currently, coronavirus disease 2019 (COVID-19) is the leading cause of death and the rate of mortality is rapidly increasing over time. There is a paucity of information regarding the incidence and predictors of mortality among COVID-19 patients from low-income countries, particularly in Ethiopia.

Objective

To assess incidence and predictors of mortality among COVID-19 patients admitted to treatment centers in North West Ethiopia.

Methods

An institution-based retrospective cohort study was conducted among 552 laboratory-confirmed COVID-19 cases at Debre Markos University and Tibebe Ghion Hospital COVID-19 treatment centers in North West Ethiopia from March 2020 to March 2021. Data were collected from patients’ medical records using a structured data extraction tool. Cox-proportional hazards regression models was fitted to identify significant predictors of mortality.

Result

The overall mortality rate of COVID-19 was 4.7, (95 % CI: 3.3–6.8) per 1000 person day observations. Older age (AHR: 4.9; 95% CI: 1.8, 13.5), rural residence (AHR: 0.18; 95% CI: 0.05, 0.64), presence of hypertension (AHR: 3.04; 95% CI: 1.18, 7.8), presence of diabetes mellitus (AHR: 8.1; 95% CI: 2.9, 22.4) and cardiovascular disease (AHR: 5.2; 95% CI: (1.69, 16.2) were significantly associated with mortality.

Conclusions

The rate of mortality among hospitalized COVID-19 patients in this study was low. COVID-19 patients from urban residences, older patients, and patients with comorbidity have a high risk of death. These high risk groups should be prioritized for COVID-19 vaccinations, and early screening and appropriate intervention should be established on presentation to health facility.

A rapid and feasible tool for clinical decision making in community-dwelling patients with COVID-19 and those admitted to emergency departments: the Braden-LDH-HorowITZ Assessment-BLITZ

There is no univocal standardized strategy to predict outcomes and stratify risk of SARS-CoV-2 infected patients, notably in emergency departments. Our aim is to develop an accurate indicator of adverse outcomes based on a retrospective analysis of a COVID-19 database established at the Emergency Department (ED) of a North-Italian hospital during the first wave of SARS-CoV-2 infection. Laboratory, clinical, psychosocial and functional characteristics including those obtained from the Braden Scale-a standardized scale to quantify the risk of pressure sores which takes into account aspects of sensory perception, activity, mobility and nutrition-from the records of 117 consecutive patients with swab-positive COVID-19 disease admitted to the Emergency Medicine ward between March 1, 2020 and April 15, 2020 were included in the analysis. Adverse outcomes included admission to the Intensive Care Unit (ICU) and in-hospital death. Among the parameters collected, the highest cutoff sensitivity and specificity scores to best predict adverse outcomes were displayed by lactate dehydrogenase (LDH) blood value at admission > 439 U/L, Horowitz Index (P/F Ratio) < 257 and Braden score < 18. The estimation power reached 93.6%. We named the assessment BLITZ (Braden-LDH-HorowITZ). Despite the retrospective and preliminary nature of the data, a multidimensional tool to assess overall functions, not chronological age, produced the highest prediction power for poor outcomes in relation to SARS-CoV-2 infection. Further analyses are now needed to establish meaningful correlations between ventilation therapies and multidimensional frailty as assessed by ad-hoc validated and standardized tools.

Outcomes of COVID-19 Critically Ill Extremely Elderly Patients: Analysis of a Large, National, Observational Cohort

Background. During the COVID-19 pandemic, resource allocation became a major problem in globally overwhelmed ICUs. The main goal of this study was to describe the clinical characteristics of the very elderly patients (aged ≥ 80 years) with COVID-19 admitted in Romanian ICUs. The study objectives were to evaluate and determine the factors associated with ICU mortality. Methods. We designed a national, multicentric, observational platform with prospective enrolment. This study included patients aged ≥ 80 years admitted in Romanian ICUs with SARS-CoV-2 infection from March 2020 to December 2021. Results. We included 1666 patients with a median age of 83 years and 78% ICU mortality. Male sex, dyspnoea, lower Glasgow Coma Scale and lower SpO2 at ICU admission, the need for mechanical ventilation (MV), and corticosteroid use were independently associated with mortality. A total of 886/1666 (53%) elderly patients underwent invasive mechanical ventilation, with a mortality of 97%. The age impact on mortality was confirmed by a 1:1 propensity matching with less elderly ICU patients. Conclusion. In extremely elderly patients with COVID-19 admitted in the ICU, mortality is high, particularly when requiring MV. Therapy should be directed towards the optimization of less invasive ventilatory methods and the use of MV and corticosteroids only in highly selected patients.

The Effectiveness of National Early Warning Score, Quick Sequential Organ Failure Assessment, Charlson Comorbidity Index, and Elixhauser Comorbidity Index Scores in Predicting Mortality Due to COVID-19 in Elderly Patients

Introduction: As the mortality rate in coronavirus disease 2019 (COVID-19) patients older than 65 years is considerable, evaluation of in-hospital mortality is crucial. This study aimed to evaluate in-hospital mortality in COVID-19 patients older than 65 years using the National Early Warning Score (NEWS), Quick Sequential Organ Failure Assessment (q-SOFA), Charlson Comorbidity Index (CCI), and Elixhauser Comorbidity Index (ECI).

Methods: This retrospective study included data from 480 patients with confirmed COVID-19 and age over 65 years who were evaluated in a university emergency department in Turkey. Data from eligible but deceased COVID-19 patients was also included. NEWS, q-SOFA, CCI, and ECI scores were retrospectively calculated. All clinical data was accessed from the information management system of the hospital, retrieved, and analyzed.

Results: In-hospital mortality was seen in 169 patients (169/480). Low oxygen saturation, high C-reactive protein (CRP) and urea levels, and high q-SOFA and ECI scores helped us identify mortality in high-risk patients. A statistically significant difference was found in mortality estimation between q-SOFA and ECI (p <0.001), respectively.

Conclusion: Q-SOFA and ECI can be used both easily and practically in the early diagnosis of in-hospital mortality in COVID-19 positive patients over 65 years of age admitted to the emergency department. Low oxygen saturation, high CRP and urea levels, and high q-SOFA and ECI scores are helpful in identifying high-risk patients.

Frailty in Elderly Patients with Covid-19: A Narrative Review

Introduction

The SARS CoV-2 pandemic still generates a very high number of affected patients and a significant mortality rate. It is essential to establish objective criteria to stratify COVID-19 death risk. Frailty has been identified as a potential determinant of increased vulnerability in older adults affected by COVID-19, because it may suggest alterations of physical performance and functional autonomy.

Methods

We have conducted a narrative review of the literature on the evidences regarding COVID-19 and the frailty condition. Thirteen observational studies were included.

Conclusion

Data emerging from the studies indicate that older COVID-19 patients with a frailty condition have an increased risk of mortality compared with non-frail patients, and this association is independent of other clinical and demographic factors. A frailty evaluation is required to help clinicians to better stratify the overall risk of death for older patients with COVID-19.

Characteristics and outcomes of older patients hospitalised for COVID-19 in the first and second wave of the pandemic in The Netherlands: the COVID-OLD study

Background

as the coronavirus disease of 2019 (COVID-19) pandemic progressed diagnostics and treatment changed.

Objective

to investigate differences in characteristics, disease presentation and outcomes of older hospitalised COVID-19 patients between the first and second pandemic wave in The Netherlands.

Methods

this was a multicentre retrospective cohort study in 16 hospitals in The Netherlands including patients aged ≥ 70 years, hospitalised for COVID-19 in Spring 2020 (first wave) and Autumn 2020 (second wave). Data included Charlson comorbidity index (CCI), disease severity and Clinical Frailty Scale (CFS). Main outcome was in-hospital mortality.

Results

a total of 1,376 patients in the first wave (median age 78 years, 60% male) and 946 patients in the second wave (median age 79 years, 61% male) were included. There was no relevant difference in presence of comorbidity (median CCI 2) or frailty (median CFS 4). Patients in the second wave were admitted earlier in the disease course (median 6 versus 7 symptomatic days; P < 0.001). In-hospital mortality was lower in the second wave (38.1% first wave versus 27.0% second wave; P < 0.001). Mortality risk was 40% lower in the second wave compared with the first wave (95% confidence interval: 28–51%) after adjustment for differences in patient characteristics, comorbidity, symptomatic days until admission, disease severity and frailty.

Conclusions

compared with older patients hospitalised in the first COVID-19 wave, patients in the second wave had lower in-hospital mortality, independent of risk factors for mortality.

The better prognosis likely reflects earlier diagnosis, the effect of improvement in treatment and is relevant for future guidelines and treatment decisions.

Prognostic value of estimated glomerular filtration rate in hospitalised older patients (over 65) with COVID-19: a multicentre, European, observational cohort study

Background

The reduced renal function has prognostic significance in COVID-19 and it has been linked to mortality in the general population. Reduced renal function is prevalent in older age and thus we set out to better understand its effect on mortality.

Methods

Patient clinical and demographic data was taken from the COVID-19 in Older People (COPE) study during two periods (February–June 2020 and October 2020–March 2021, respectively). Kidney function on admission was measured using estimated glomerular filtration rate (eGFR). The primary outcomes were time to mortality and 28-day mortality. Secondary outcome was length of hospital stay. Data were analysed with multilevel Cox proportional hazards regression, and multilevel logistic regression and adjusted for individual patient clinical and demographic characteristics.

Results

One thousand eight hundred two patients (55.0% male; median [IQR] 80 [73–86] years) were included in the study. 28-day mortality was 42.3% (n = 742). 48% (n = 801) had evidence of renal impairment on admission. Using a time-to-event analysis, reduced renal function was associated with increased in-hospital mortality (compared to eGFR ≥ 60 [Stage 1&2]): eGFR 45–59 [Stage 3a] aHR = 1.26 (95%CI 1.02–1.55); eGFR 30–44 [Stage 3b] aHR = 1.41 (95%CI 1.14–1.73); eGFR 1–29 [Stage 4&5] aHR = 1.42 (95%CI 1.13–1.80). In the co-primary outcome of 28-day mortality, mortality was associated with: Stage 3a adjusted odds ratio (aOR) = 1.18 (95%CI 0.88–1.58), Stage 3b aOR = 1.40 (95%CI 1.03–1.89); and Stage 4&5 aOR = 1.65 (95%CI 1.16–2.35).

Conclusion

eGFR on admission is a good independent predictor of mortality in hospitalised older patients with COVID-19 population. We found evidence of a dose-response between reduced renal function and increased mortality.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-02782-5.