Higher Risk Of Mortality Research Articles

From one death to another: The relationship between familial deaths and one’s own mortality risk among an urban Black American cohort

Black Americans continue to be 1.5 times more likely to experience premature death with life expectancy up to six years shorter than their white American counterparts. These racial disparities in mortality translate into Black Americans being much more likely to experience the deaths of family members at younger ages in the life course. This study examines the impact of experiencing familial death on the survivor's mortality risk among a cohort of Black men and women. Data collected from a community cohort first assessed in 1966 (at age 6) and followed at three additional time points (ages 16, 32, and 42) are supplemented with mortality data, retrieved from the National Death Index, that include deaths through 2021 (modal age 61). Among the 941 participants who survived to age 32 and had information on familial deaths, 38.9% experienced the death of a parent, child, or sibling by age 32, and close to one-fifth (18.2%) died between ages 33 and 61. Cox regression models that adjust for early life covariates revealed a 48% higher mortality risk among those who experienced at least one familial death by age 32; separate models provide evidence that the accumulation of familial deaths is related to midlife mortality risk. Models of relationship type indicate that death of a mother or sibling is associated with a 74% and 77% increase in mortality risk, respectively. Results highlight the heavy burden of premature familial mortality on Black Americans and its adverse impact on one's own life expectancy.

Outcomes of emergency colorectal surgery within a non-colorectal split site service-a retrospective cohort study.

Emergency colorectal surgery carries a high risk of morbidity and mortality. Subspecialisation and split-site geographically distinct services may lead to critically unwell patients presenting to a non-colorectal specialist centre requiring urgent on-site intervention. This study aims to determine outcomes of this high-risk patient cohort. An observational retrospective study of emergency colorectal laparotomies at the Royal Infirmary of Edinburgh (RIE) between January 2016 and August 2020 was performed. The primary outcome was 30-day mortality. Secondary outcomes included rate of primary anastomosis, complications and overall mortality. Subgroup analysis of the vascular ischaemia cohort and colorectal surgeon involvement was performed. One hundred and eighteen patients were included. The median NELA (National Emergency Laparotomy Audit) score was 6.4% (IQR 2.5%-16.7%) and the 30-day mortality rate was 22% (26/118). The rate of primary anastomosis was 24.6%. Twenty-five patients had a vascular ischaemic pathology demonstrating a higher median NELA score (14.3%, IQR 5-22.4% vs. non-ischaemic group 5.7%, IQR 1.7-14.2%, p = 0.013) and thirty-day mortality (44%, 11/25 vs. 16.1%, 15/93, p = 0.006) than those without ischaemic pathology. Colorectal surgeon involvement in cases without ischaemia (23/93) was associated with a similar 30-day mortality (13.1% colorectal surgeon vs. 17.1% non-colorectal specialist surgeon, p = 0.755) and rate of primary anastomosis (30.4% colorectal surgeon vs. 31.8% non-colorectal specialist surgeon, p = 1). The high mortality rate described highlights a specific group of unwell patients unfit for transfer. Research registration number: researchregistry7101.

Predictors and Predictive Score of In-Hospital Mortality in Diabetic Ketoacidosis: A Retrospective Cohort Study.

Background and Objectives: Diabetic ketoacidosis (DKA) is a critical complication of diabetes mellitus (DM). The primary objective of this study was to identify relevant clinical and biochemical predictors and create a predictive score for in-hospital DKA mortality. Materials and Methods: A 6-year retrospective cohort study of adult patients diagnosed with DKA and admitted to Chiang Mai University Hospital, a tertiary care center in Chiang Mai, Thailand, from 1 January 2015 to 31 December 2021, was conducted. Baseline clinical data and laboratory investigations were collected. The primary outcome was in-hospital mortality. Multivariable logistic regression analysis, clustered by type of diabetes, was performed to identify significant predictors. A predictive risk score was created using significant predictive factors identified by multivariable analysis. The results were presented as odds ratios (ORs) and 95% confidence intervals (CIs), with a significant p-value set at <0.05. Results: Ninety-three patients diagnosed with DKA were included in the study. Ten patients died during admission. Significant predictors for in-hospital mortality of DKA included age > 55 years (OR 7.8, p = 0.007), female gender (OR 3.5, p < 0.001), anion gap > 30 mEq/L (OR 2.6, p = 0.003), hemoglobin levels < 10 g/dL (OR 16.9, p < 0.001), and the presence of cardiovascular disease (OR 1.3, p = 0.046). The predictive risk score ranged from 1 to 14 for low risk, and 14.5-23.5 for high risk of in-hospital mortality. The predictive performance of the scoring system was 0.82 based on the area under the curve, with a sensitivity of 73.8% and specificity of 96.4%. Conclusions: Multiple clinical and biochemical factors, along with a predictive risk score, could assist in predicting in-hospital mortality of DKA and serve as a guide for physicians to identify patients at high risk. Nevertheless, as the predictive score was internally validated with data from a single institution, external validation in diverse healthcare settings with larger datasets or prospective cohorts is crucial to confirm the model's generalizability and predictive accuracy.

Cluster Validity for Optimizing Classification Model: Davies Bouldin Index – Random Forest Algorithm

Several factors impact pregnant women’s health and mortality rates. The symptoms of disease in pregnant women are often similar. This makes it difficult to evaluate which factors contribute to a low, medium, or high risk of mortality among pregnant women. The purpose of this research is to generate classification rules for maternal health risk using optimal clusters. The optimal cluster is obtained from the process carried out by the validity cluster. The methods used are K-Means clustering, Davies Bouldin Index (DBI), and the Random Forest algorithm. These methods build optimum clusters from a set of k-tests to produce the best classification. Optimal clusters comprising cluster members withstrong similarities are high-dimensional data. Therefore, the Principal Component Analysis (PCA) technique is required to evaluate attribute value. The result of the research is that the best classification rule was obtained from k-tests = 22 on the 20th cluster, which has an accuracy of 97% to low, mid, and high risk. The novelty lies in using DBI for data that the Random Forest will classify. According to the research findings, the classification rules created through optimal clusters are 9.7% better than without the clustering process. This demonstrates that optimizing the data group has implications for enhancing the classification algorithm’s performance.

Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms

The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particularly on individuals with chronic kidney disease (CKD). COVID-19 patients with CKD will face a considerably higher risk of mortality than the general population. This study developed a predictive model for assessing mortality in COVID-19-affected CKD patients, providing personalized risk prediction to optimize clinical management and reduce mortality rates. We developed machine learning algorithms to analyze 219 patients’ clinical laboratory test data retrospectively. The performance of each model was assessed using a calibration curve, decision curve analysis, and receiver operating characteristic (ROC) curve. It was found that the LightGBM model showed the most satisfied performance, with an area under the ROC curve of 0.833, sensitivity of 0.952, and specificity of 0.714. Prealbumin, neutrophil percent, respiratory index in arterial blood, half-saturated pressure of oxygen, carbon dioxide in serum, glucose, neutrophil count, and uric acid were the top 8 significant variables in the prediction model. Validation by 46 patients demonstrated acceptable accuracy. This model can serve as a powerful tool for screening CKD patients at high risk of COVID-19-related mortality and providing decision support for clinical staff, enabling efficient allocation of resources, and facilitating timely and targeted management for those who need the relevant interference urgently.

Association between Lactate dehydrogenase and 28-day all-cause mortality in patients with non-traumatic Intracerebral hemorrhage: A retrospective analysis of the MIMIC-IV database.

Lactate dehydrogenase (LDH), a nonspecific inflammatory biomarker, has been used in the assessment of acute myocardial infarction, acute hepatitis, acute lung injury, and other severe diseases. However, no studies have evaluated the prognostic value of LDH in patients with non-traumatic intracerebral hemorrhage (ICH). This cohort study aims to assess the association between LDH levels and 28-day all-cause mortality in patients with non-traumatic ICH. Data for this retrospective cohort analysis were obtained from the MIMIC-IV (v2.2) database, and the study included patients with non-traumatic ICH as defined by the International Classification of Diseases, 9th and 10th editions. Patients were categorized into four distinct groups based on their LDH levels. The primary outcome of interest was the 28-day mortality rate. To analyze these associations and assess the consistency of interactions, subgroup analyses, Cox regression analysis, Kaplan-Meier (KM) curves, and nonlinear analysis were conducted. A total of 406 patients with non-traumatic ICH were enrolled in the study and were divided into quartiles based on LDH levels. The KM curve indicated that the 28-day all-cause mortality rate of patients in the Q4 group (LDH > 287.25) was significantly higher than in the Q1 (LDH < 194.7) (P < 0.001) and Q2 (194.7 < LDH < 233.0) (P < 0.001) groups, though not significantly different from Q3 (P = 0.140). Multivariate Cox proportional hazards analysis revealed that patients in the highest LDH quartile had a significantly increased risk of mortality compared to those in the lowest quartile across three models: unadjusted [HR, 3.401; 95% CI, 1.719-6.731; P < 0.001], partially adjusted [HR, 2.422; 95% CI, 1.211-4.846; P = 0.012], and fully adjusted [HR, 3.054; 95% CI, 1.522-6.126; P = 0.002]. Restricted cubic spline (RCS) models revealed an L-shaped association between LDH levels and the 28-day all-cause mortality rate, indicating a non-linear relationship (P < 0.001). No significant interactions were observed between LDH levels and other factors in the subgroup analyses (all P for interaction > 0.05). Our findings indicate a significant association between 28-day all-cause mortality and LDH levels in patients with non-traumatic intracerebral hemorrhage. Specifically, patients with elevated LDH levels within the first 24 hours of ICU admission are at a higher risk of mortality.

Amputation-Free Survival, WIfI Stage, and GLASS Classifications in Distal Crural or Pedal Bypass for Chronic Limb-Threatening Ischemia.

Background: Chronic limb-threatening ischemia (CLTI) is a severe condition with high risks of amputation and mortality, especially in patients with distal crural or pedal artery disease. Despite advances in endovascular techniques, bypass surgery remains crucial for patients with CLTI. This study aimed to investigate amputation-free survival, Wound, Ischemia, and foot Infection (WIfI) staging, and Global Limb Anatomic Staging System (GLASS) classifications in patients undergoing distal crural or pedal bypass for CLTI. Methods: This retrospective study analyzed all patients who underwent distal crural or pedal bypass for CLTI in a tertiary vascular centre from January 2010 to December 2019. The data were collected from hospital records and preoperative imaging. WIfI stages and GLASS classifications were determined for each patient, and the primary endpoint was amputation-free survival. Secondary outcomes included bypass patency, 30-day morbidity, and mortality. Results: We identified 31 bypasses performed on 29 patients with a median age of 67 years (79% male). Preoperatively, 94% of limbs were staged GLASS III and 55% were classified WIfI stage 4. Failed endovascular revascularization preceded bypass surgery in 65% of the cases. Thirty-day mortality was 3% (n = 1) and 30-day major amputation rate was 10%. Primary patency was 87%, and secondary patency was 94% at 30 days. Median duration of follow-up for survival was 59 months with a mean follow-up index (FUI) of 0.99 ± 0.05, and for major amputation and bypass patency 54 months (mean FUI 0.9 ± 0.19 and 0.85 ± 0.28, respectively). At one year, amputation-free survival was 58%, decreasing to 45% at two years, 39% at three years, and 32% at five years. Most major amputations occurred in WIfI stage 4 patients, but 53% of WIfI stage 4 and 80% of WIfI stage 3 patients were alive without major amputation after one year. Conclusions: Distal crural and pedal bypasses are essential for limb salvage in high-risk CLTI patients, particularly those with failed prior revascularization. However, the procedure is associated with limited long-term amputation-free survival. WIfI and GLASS classifications are useful for stratifying risk and guiding treatment, but outcomes suggest the need for individualized care strategies. Further research into perioperative management and alternative interventions is warranted to improve long-term outcomes in this population.

Behavioral and Psychological Symptoms of Dementia and Mortality Risk Among People With Cognitive Impairment: An 8-year Longitudinal Study From the NCGG-STORIES.

Behavioral and psychological symptoms of dementia (BPSD) are common among people with dementia from the early stages and can appear even in mild cognitive impairment (MCI). However, the prognostic impact of BPSD is unclear. This study examined the association between BPSD and mortality among people with cognitive impairment. This longitudinal study involved 1,065 males and 1,681 females (mean age: 77.1 years for males and 78.6 years for females) with MCI or dementia diagnosis from the National Center for Geriatrics and Gerontology-Life Stories of People with Dementia (NCGG-STORIES), a single-center memory clinic-based cohort study in Japan that registered first-time outpatients from 2010-2018. Information about death was collected through a mail survey returned by participants or their close relatives, with an up to 8-year follow-up. BPSD was assessed using the Dementia Behavior Disturbance Scale (DBD) at baseline. During the follow-up period, 229 (28.1%) male and 254 (15.1%) female deaths occurred. Cox proportional hazards regression analysis showed that higher DBD scores were significantly associated with increased mortality risk among males, but not females (compared with the lowest quartile score group, hazard ratios for the highest quartile score group were 1.59; 95% confidence interval, [CI] 1.11-2.29 for males and 1.06; 95% CI, 0.66-1.70 for females). Among the DBD items, lack of interest in daily living, excessive daytime sleep, and refusal to receive care had a higher mortality risk. The findings suggest a potential association between BPSD and poor prognosis among males with cognitive impairment.

The association of serum albumin with 28 day mortality in critically ill patients undergoing dialysis: a secondary analysis based on the eICU collaborative research database

BackgroundThe relationship between serum albumin and prognosis in critically ill patients has been studied, however, there is a paucity of exploration into non-linear relationships, particularly in critically ill patients undergoing dialysis. This study intends to investigate the association between serum albumin (ALB) and 28 day mortality in critically ill patients undergoing dialysis.MethodsWe conducted a multi-center retrospective cohort study of patients undergoing dialysis by utilising data from the eICU Collaborative Research Database from 208 distinct ICUs across the United States between 2014 and 2015. The study focused on mortality within 28 days of ICU admission. We employed univariate analysis, multi-factor logistic regression, subgroup analysis, curve-fitting, and threshold effect analysis to examine the correlation between ALB levels and 28 day mortality.ResultsAmong the 2,315 patients with a median age of 63 years, 205 (8.86%) died within 28 days of ICU admission. When ALB level was < 2.7 g/dL, the mortality decreased with an adjusted odds ratio (OR) of 0.34 (95% CI 0.22–0.51, P < 0.0001) for every 1 increment in the ALB. However, no significant mortality changes were observed when ALB levels were at or above this threshold.ConclusionOur study identifies a nonlinear dose–response relationship between serum ALB levels and 28 day mortality in critically ill patients undergoing dialysis, with a specific turning point observed. This finding underscores a significant negative correlation between ALB levels and mortality risk, with lower ALB levels being associated with higher mortality risk in this particular population.

Prevalence of lymphopenia in the American population: Insights from demographic, BMI, and lifestyle factors.

To determine the difference in the prevalence of lymphopenia in the American population according to demographic characteristics, body mass index (BMI) and living habits. A total of 33,365 participants aged over 1 were included in the 2009-2018 National Health and Nutrition Survey (NHANES). All analyses used weighted samples and considered the layering and clustering of the design. Using white participants as a reference, the prevalence of lymphopenia in Mexican-American participants was significantly lower than that of white participants (P = 0.018). There was no significant difference in the prevalence of lymphopenia between black participants (P = 0.376) and white participants. The prevalence of lymphopenia was 1.81% (95%CI, 1.53%-2.10%) for white participants, 1.08% (95%CI, 0.78%-1.39%) for black participants, and 0.42% (95%CI, 0.17%-0.68%) for Mexican-American participants. The prevalence of lymphopenia increases with age, reaching a peak of 6.84% among elderly participants aged 75 and above. In terms of the gender difference, the prevalence of lymphopenia in men is significantly higher than that in women (P<0.001). Individuals who smoke (P<0.001), consume alcohol (P = 0.032), engage in regular exercise (P = 0.031), have sleep disorders (P<0.001) and those classified as having an unhealthy weight (P<0.001) had a higher average lymphocyte count. The prevalence of lymphopenia in participants with sleep disorders is significantly higher than those without sleep disorders (P = 0.014). However, no significant differences were observed among the classification variables of smoking, drinking, exercise, and BMI. In the diagnosis and treatment of lymphopenia, clinicians should consider the influence of factors such as race, gender, age, sleep disorders, and other unhealthy lifestyle habits to improve the accuracy of diagnosis and treatment, thereby reducing the high mortality risk associated with lymphopenia. Consequently, we propose a novel perspective that the diagnosis and treatment of lymphopenia should be tailored to the lymphocyte levels of specific subpopulations, rather than applying a generalized approach.

Association of body indices with mortality in older population: Japan Specific Health Checkups (J-SHC) Study.

Obesity indices reflect not only fat mass but also muscle mass and nutritional status in older people. Therefore, they may not accurately reflect prognosis. This study aimed to investigate associations between a body shape index (ABSI), body mass index (BMI), and mortality in the general older population. This nationwide observational longitudinal study included individuals aged between 65 and 74 years who underwent annual health checkups between 2008 and 2014. Exposures of interest were ABSI and BMI, and the primary outcome was all-cause mortality. Association between the ABSI and BMI quartile (Q1-4) and mortality was assessed using Cox regression analysis. A restricted cubic spline was also used to investigate nonlinear associations. The missing values were imputed using multiple imputation by chained equations. Among 315,215 participants, 5074 died during a median follow-up period of 42.5 (interquartile range: 26.2-59.3) months. Compared with ABSI Q1, ABSI Q3 and Q4 were associated with increased risk of mortality, with the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) of 1.13 (1.05-1.22) and 1.23 (1.13-1.35), respectively. Compared with BMI Q3, BMI Q1 and Q2 were associated with an increased risk of mortality, with aHRs and 95% CIs of 1.51 (1.39-1.65) and 1.12 (1.03-1.22), respectively. The impacts of these indices were greater in male than in female. The heatmap of the aHR for mortality by continuous ABSI and BMI showed that higher ABSI was consistently associated with higher mortality risk regardless of BMI, and that the combination of low BMI and high ABSI was strongly associated with increased mortality risk. High ABSI and low BMI are additively associated with the risk of all-cause mortality in the general older population in Japan. Combination of ABSI and BMI is useful for evaluating mortality risk in older people.

Cardiovascular outcomes among giant cell myocarditis compared with cardiac sarcoidosis: A propensity score-matched analysis

BackgroundGiant cell myocarditis (GCM) and cardiac sarcoidosis (CS) are rare inflammatory diseases of the myocardium with poor prognosis. Cardiovascular disease outcomes among both diseases have not been well studied with limited literature. ObjectiveThis study aims to investigate the cardiovascular outcomes among patients with GCM and CS. MethodWe queried the TriNeTX Global Collaborative Network for adult patients with giant cell myocarditis and cardiac sarcoidosis between January 2000 to May 2023 and created two groups: one with giant cell myocarditis and second with cardiac sarcoidosis. Both the groups were followed for 6 months and 12 months. ResultAfter propensity score matched analysis (PSM), among the 4804 patients (2402 patients in each group), the mean age of patients was 57.1 and 57.6 years in GCM and CS groups, respectively. PSM analysis showed that primary outcome i.e., all-cause mortality was significantly higher in GCM group both after 6 months [relative risk (RR) 2.33, 95 % confidence interval (CI): 1.64–3.30, p < 0.01] and 1 year follow up [RR, 1.54 (95 % CI: 1.20–1.98), p < 0.01] as compared with CS group. However, secondary outcomes i.e., heart failure (HF) at 6 month (RR 0.66, 95 % CI: 0.52–0.85, p < 0.01), and at 1 year (RR 0.60, 95 % CI: 0.49–0.73, p < 0.01), ventricular tachycardia (VT) at 6 months (RR 0.34, 95 % CI: 0.25–0.46, p < 0.01), and at 1 year (RR 0.32, 95 % CI: 0.25–0.41, p < 0.01), atrioventricular (AV) node block at 6 month (RR 0.45, 95 % CI: 0.33–0.61, p < 0.01), and at 1 year (RR 0.43, 95 % CI: 0.34–0.55, p < 0.01), and atrial flutter and fibrillation (AF) at 6 months (RR 0.67, 95 % CI: 0.48–0.94, p = 0.02), and at 1 year (RR 0.59, 95 % CI: 0.45–0.76, p < 0.01) were found significantly lower in GCM group as compared to CS group. On the other hand, heart transplant incidence was comparable between both the groups. ConclusionThese findings suggest that GCM patients have high risk of mortality and lower risk of HF, VT, AV node block, and AF when compared with CS.

Systemic immune-inflammation index and 2-year all-cause mortality in elderly patients with hip fracture

PurposeTo assess the association between systemic immune-inflammation index (SII) and 2-year all-cause mortality in elderly patients with hip fractures. MethodsWe performed a cohort study of hip fracture patients aged 65 years or older who received hip fracture surgery at a tertiary hospital from January 2005 to March 2022. The SII was calculated as: SII = (neutrophil count * platelet count) / lymphocyte count, based on the latest blood test before discharge. Patients were categorized into 3 groups according to SII tertiles: low SII group (≤770.92 × 109/L), medium SII group (770.92 × 109/L -1293.03 × 109/L), and high SII group (>1293.03 × 109/L). The primary outcome was 2-year all-cause mortality. We evaluated the association between SII and 2-year all-cause mortality using the multivariate Cox regression model. ResultsAmong 2,766 patients, 296 patients died during the 2-year follow-up period. The incidence of 2-year all-cause mortality per 1,000 persons was 90.0 (95% CI, 73.2-110.2) in the low SII group, 86.8 (95% CI, 70.3-106.7) in the medium SII group, and 144.3 (95% CI, 123.1-168.5) in the high SII group. Compared with patients in the low SII group, the hazard ratio for 2-year all-cause mortality was 0.97 (95% Cl 0.69-1.37) in the medium SII group and 1.47 (95% Cl 1.07-2.01) in the high SII group (P for trend, 0.001). ConclusionSII is significantly associated with 2-year all-cause mortality in elderly patients with hip fracture. SII may be used to identify patients at high risk of mortality after hip fracture surgery.

Abdominal Obesity: A Lethal Factor in Elderly Male Osteoporosis Patients—Insights from NHANES

Background and AimThis study aims to investigate the relationship between A Body Shape Index (ABSI) Z-score and all-cause mortality among osteoporotic patients using data from the National Health and Nutrition Examination Survey (NHANES). Methods and ResultsWe analyzed NHANES data from 2005 to 2010, 2013 to 2014, and 2017 to 2018, focusing on individuals aged 50 and above with complete bone mineral density (BMD) data. The ABSI Z-score, calculated by adjusting waist circumference (WC) for height and weight, was used to independently assess abdominal fat beyond Body Mass Index (BMI). Mortality status was confirmed by linking NHANES data with the National Death Index (NDI), with follow-up until December 31, 2019. Weighted Cox proportional hazards models were employed for analysis, adjusting for age, gender, race, fracture history, anti-osteoporosis treatment history, diabetes, and cardiovascular disease (CVD). The study included 1,596 participants. Higher ABSI Z-scores were significantly associated with increased all-cause mortality risk, especially among elderly male osteoporotic patients. This association remained robust after adjusting for multiple potential confounders. ConclusionThe ABSI Z-score serves as a valuable non-invasive screening tool that effectively identifies osteoporotic patients at higher risk of mortality. These findings emphasize the importance of body management in health, supporting further research to explore the practical utility of ABSI Z-score in osteoporotic patients and how body management can enhance long-term survival rates.

Pre-procedural nursing home length of stay and outcomes of transcatheter aortic valve replacement.

Older adults with severe aortic stenosis (AS) may receive care in a nursing home (NH) prior to undergoing transcatheter aortic valve replacement (TAVR). NH level of care can be used to stabilize medical conditions, to provide rehabilitation services, or for long-term care services. Our primary objective is to determine whether NH utilization pre-TAVR can be used to stratify patients at risk for higher mortality and poor disposition outcomes at 30 and 365 days post-TAVR. We conducted a retrospective cohort study among Medicare beneficiaries who spent ≥1 day in an NH 6 months before TAVR (2011-2019). The intensity of NH utilization was categorized as low users (1-30 days), medium users (31-89 days), long-stay NH residents (≥ 100 days, with no more than a 10-day gap in care), and high post-acute rehabilitation patients (≥90 days, with more than a 10-day gap in care). The probabilities of death and disposition were estimated using multinomial logistic regression, adjusting for age, sex, and race. Among 15,581 patients, 9908 (63.6%) were low users, 4312 (27.7%) were medium users, 663 (4.3%) were high post-acute care rehab users, and 698 (4.4%) were long-stay NH residents before TAVR. High post-acute care rehabilitation patients were more likely to have dementia, weight loss, falls, and extensive dependence of activities of daily living (ADLs) as compared with low NH users. Mortality was the greatest in high post-acute care rehab users: 5.5% at 30 days, and 36.4% at 365 days. In contrast, low NH users had similar mortality rates compared with long-stay NH residents: 4.8% versus 4.8% at 30 days, and 24.9% versus 27.0% at 365 days. Frequent bouts of post-acute rehabilitation before TAVR were associated with adverse outcomes, yet this metric may be helpful to determine which patients with severe AS could benefit from palliative and geriatric services.

Comparison of mortality in people with type 2 diabetes between different ethnic groups: systematic review and meta-analysis of longitudinal studies

BackgroundPeople of South Asian and Black ethnicity have a higher prevalence of type 2 diabetes (T2D) compared to people of White ethnicity. T2D is a leading cause of mortality worldwide, however, rigorous investigation including the most recent studies comparing mortality in different ethnic groups has not been conducted. This systematic review and meta-analysis aim to compare mortality risk in people with T2D between different ethnic groups. MethodsThis systematic review follows PRISMA guidelines (PROSPERO:CRD42022372542). Nine databases were searched for community-based studies among T2D adults from ≥2 ethnicities. Studies published between January, 2000 and May, 2024 and containing ≥100 participants in each reported ethnic group were included. Two independent reviewers undertook title/abstract and full-text screening, data extraction, quality assessment (using Newcastle-Ottawa Scale) and data synthesis with group consensus to resolve any conflicts. The primary outcome compared all-cause mortality rates between ethnic groups (hazard ratio [HR] with 95% confidence intervals). FindingsFrom 33 922 records screened, 13 studies met inclusion criteria and 7 were meta-analysed. The 13 studies incorporated 593 058 T2D participants and 12/13 were of good quality. Overall mortality risk was lower amongst people with T2D from South Asian (HR 0·68 [95% CI 0·65–0·72]; 4 studies), Black (0·82 (0·77–0·87]; 5 studies) and Chinese (0·57 [0·46–0·70]; 2 studies) ethnicity compared to people of White ethnicity. Narrative synthesis corroborated quantitative findings and highlighted that people of indigenous Māori ethnicity had greater mortality risk compared to people of European ethnicity. InterpretationPeople with T2D of South Asian, Black and Chinese ethnicity have a lower risk of all-cause mortality compared to those of White ethnicity, whilst Māori ethnicity have higher mortality risk. Risk factors or clinical management could explain differences in T2D mortality risk especially when comparing T2D complications by ethnicity, thus need further scrutiny to improve overall diabetes outcomes. FundingNo funding was received.

Echocardiographic Markers of Early Left Ventricular Dysfunction in Asymptomatic Aortic Regurgitation: Is It Time to Change the Guidelines?

The ideal timing for surgery in asymptomatic chronic aortic regurgitation (AR) remains unclear. New thresholds for left ventricular ejection fraction (LVEF), left ventricular (LV) indexed end-systolic volume (iESV), and global longitudinal strain (GLS) have been associated with mortality in these patients. These represent markers of early LV dysfunction. The authors sought to assess the relationship between these markers (LVEF<60%, iESV≥45mL/m2, and GLS worse than -15%) and mortality, comparing them to Class I/IIa American College of Cardiology/American Heart Association guideline recommendations and absence of any of these. A total of 673 asymptomatic patients with chronic clinically significant (≥ moderate-severe) AR between 2004 and 2019 at a single referral center were retrospectively analyzed. The primary study outcome was all-cause mortality. Mean age was 57 ± 17 years, 97 (14%) were female, 293 (45%) had hypertension, and 273 (41%) had an abnormal number of valve cusps. Aortic valve replacement was performed in 281 (48%) patients, and 69 (10%) died while under surveillance (without aortic valve replacement). LVEF<60% was present in 296 (44%) patients, 122 (25%) of 482 had GLS worse than -15%, and 261 (39%) had iESV≥45mL/m2. Mortality under surveillance was highest when Class I/IIa recommendations were present (HR: 4.22; 95%CI: 2.15-8.29), followed by the presence of 1 or more markers of early LV dysfunction (HR: 2.18; 95%CI: 1.21-3.92); no markers was used as the reference (all, P< 0.05). LVEF showed the strongest association with mortality, statistically slightly better than GLS and iESV. In the absence of ClassI/IIa recommendations, 1 marker of early LV dysfunction was associated with higher, although not statistically significant, mortality compared with no markers (P=0.063), followed by 2 markers; highest mortality was when all 3markers were present (HR: 5.46; 95%CI: 2.51-11.90; P< 0.001). Patients with asymptomatic clinically significant chronic AR incur a survival penalty when Class I/IIa guideline recommendations are attained. In patients without these recommendations, at least 2 markers of early LV dysfunction identify those with higher mortality risk who may benefit from early surgery.

Trajectories of depressive symptoms in Korean adults with diabetes: Individual differences and associations with life satisfaction and mortality.

We examined trajectories of depressive symptoms and their predictors in adults with diabetes. We assessed whether these trajectories were related to life satisfaction and mortality. Longitudinal, prospective observational study. We analysed data from 1217 adults with diabetes (aged ≥45 years) in the Korean Longitudinal Study of Aging (2006-2018). Three trajectories of depressive symptomology were identified in growth mixture models: low/stable (i.e., low and stable levels of symptoms; 85.56%), high/decreasing (i.e., high levels of symptoms with a decreasing trajectory; 7.47%), and moderate/increasing (i.e., moderate levels of symptoms with an increasing trajectory; 6.98%). Participants with poor perceived health status at baseline were more likely to be in the moderate/increasing or high/decreasing classes than in the low/stable class. The moderate/increasing class had the lowest satisfaction with quality of life, followed by the high/decreasing and low/stable classes. The moderate/increasing and the high/decreasing classes had lower satisfaction with relationships with spouse and children than the low/stable class. The high/decreasing class had a higher mortality risk than the low/stable class. Long-term monitoring of depressive symptoms in adults with diabetes is warranted given their potential adverse impact on life satisfaction and mortality.

Challenges and guidance for implementing social distancing for COVID-19 in care homes: a mixed methods rapid review.

Older people living in care homes are at high risk of poor health outcomes and mortality if they contract coronavirus disease 2019. Protective measures include social distancing and isolation, although implementation is challenging. To explore the real-life experiences of social distancing and isolation in care homes for older people, and to develop a toolkit of guidance and resources. A mixed-methods, phased design. Six care homes in England caring for older adults. Care home staff (n = 31), residents (n = 17), family members (n = 17), senior health and care leaders (n = 13). A rapid review to assess the social distancing and isolation measures used by care homes to control the transmission of coronavirus disease 2019 and other infectious diseases (phase 1), in-depth case studies of six care homes, involving remote individual interviews with staff, residents and families, collection of policies, protocols and routinely collected care home data, remote focus groups with senior health and care leaders (phase 2) and stakeholder workshops to co-design the toolkit (phase 3). Interview and focus group data and care home documents were analysed using thematic analysis and care home data using descriptive statistics. The rapid review of 103 records demonstrated limited empirical evidence and the limited nature of policy documentation around social distancing and isolation measures in care homes. The case studies found that social distancing and isolation measures presented moral dilemmas for staff and often were difficult, and sometimes impossible to implement. Social distancing and isolation measures made care homes feel like an institution and denied residents, staff and families of physical touch and other forms of non-verbal communication. This was particularly important for residents with cognitive impairment. Care homes developed new visiting modalities to work around social distancing measures. Residents and families valued the work of care homes to keep residents safe and support remote communication. Social distancing, isolation and related restrictions negatively impacted on residents' physical, psychological, social and cognitive well-being. There were feelings of powerlessness for families whose loved ones had moved into the care home during the pandemic. It was challenging for care homes to capture frequent updates in policy and guidance. Senior health and care leaders shared that the care home sector felt isolated from the National Health Service, communication from government was described as chaotic, and trauma was inflicted on care home staff, residents, families and friends. These multiple data sources have informed the co-design of a toolkit to care for residents, families, friends and care home staff. The review included papers published in English language only. The six care homes had a Care Quality Commission rating of either 'good' or 'outstanding'. There was a lack of ethnic diversity in resident and family participants. Care homes implemented innovative approaches to social distancing and isolation with varying degrees of success. A legacy of learning can help rebuild trust at multiple levels and address trauma-informed care for residents, families, friends and staff. Future work can include evaluation of the toolkit, research to develop a trauma-informed approach to caring for the care home sector and co-designing and evaluating an intervention to enable residents with different needs to transition to living well in a care home. This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR132541) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 45. See the NIHR Funding and Awards website for further award information.

High inflammatory indices are significant predictors of disease severity in maintenance hemodialysis patients with COVID-19: A cross-sectional study

BackgroundThe patients with kidney failure who undergo maintenance hemodialysis (MHD) at high risk of morbidity and mortality from COVID-19. Previous studies showed that inflammation plays an important role in the progression of COVID-19. This study aimed to evaluate the prognostic value of the inflammatory indices in MHD patients with COVID-19. MethodsWe included 141 patients receive MHD in this single-center. SARS-CoV-2 infection was confirmed by a positive result in RT-PCR analysis of nasal and pharyngeal swab samples, and the demographic, clinical, and laboratory data from December 1, 2022, to January 31, 2023 were reviewed. Inflammatory indices including PLR, NLR and SII were calculated. Binary logistics regression was used to examine the association between inflammatory indices and SARS-CoV-2 infection in MHD patients. The ROC curves were used to detect the sensitivity and specificity of these inflammatory indices in prediction of SARS-CoV-2 infection status in MHD patients. ResultsSARS-CoV-2 infection was detected in 76.43 % of the 141 MHD patients. Lymphocyte (LY), aspartate transaminase (AST), blood urea nitrogen (BUN), uric acid (UA), PLR, NLR and SII were significant predictors of no SARS-CoV-2 infection and symptomatic SARS-CoV-2 infection. In addition, LY, serum ferritin (SF), AST, BUN, UA, PLR and NLR were significant predictors of asymptomatic SARS-CoV-2 infection and symptomatic SARS-CoV-2 infection. The ROC curves showed the best sensitivity and specificity of PLR (66.7 % sensitivity; 68.8 % specificity) and NLR (51.9 % sensitivity; 86.3 % specificity) in predicting symptomatic SARS-CoV-2 infection. ConclusionPLR and NLR can be used as simple and inexpensive biomarkers in predicting the prognosis of COVID-19 in MHD patients.