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Purpose: Diet rich in antioxidant may protect against chronic respiratory disease (CRD), but few studies have evaluated the association between composite dietary antioxidant index (CDAI) and CRD. The study aimed to examine the association of CDAI with the risk of CRD and all-cause mortality in CRD patients from the US., Methods: Data were obtained from the National Health and Nutrition Examination Survey, 2003-2018. Logistic and Cox regression analyses were used to estimate association of CDAI with CRD and all-cause mortality. Dose-response relationship was examined by restricted cubic spline analyses., Results: Total 44,094 participants were eligible for CRD (aged 1-85 years; mean age: 45.71 years old), and 7,685 CRD patients for all-cause mortality (median follow-up: 7.58 years; 1,136 deaths before 12/31/2019). The risk for CRD, asthma, and chronic obstructive pulmonary disease was significantly decreased by 13-32% with the increase intake of CDAI, even after adjusting for confounders (all P < 0.001). The relationship between CDAI and three respiratory endpoints was U-shaped (all P for nonlinearity < 0.001). There was an obvious declining trend in the magnitude of mortality risk with the increase of intake of CDAI, especially in patients with asthma. Fully adjusted hazard ratio was 0.72 (95% confidence interval: 0.54-0.95), 0.55 (0.42-0.72), and 0.48 (0.34-0.66) for the second, third, and fourth quartile of CDAI in patients with asthma relative to the first quartile, respectively. The association with CRD risk was significantly modified by smoking status (P-interaction: 0.006)., Conclusion: Our findings indicate that high CDAI is a significant protective factor against CRD and all-cause mortality in the US population., Competing Interests: Declarations. Conflict of interest: The authors declare no conflict of interest., (© 2024. Springer-Verlag GmbH Germany, part of Springer Nature.)

Aim: This study aimed to compare outcomes post-admission to a Swedish paediatric intensive care unit (PICU) in children with complex chronic conditions (CCC) and without CCC., Methods: In this observational registry-based study, consecutive admissions to the Astrid Lindgren Children's Hospital PICU from 1 January 2008 to 31 December 2016 were analysed. Data on demographics, predicted death rates (PDR), admission diagnoses and causes of death were collected. Mortality was recorded up to 15 years after admission and compared between groups., Results: Patients with CCC constituted 64.6% (n = 3026) of PICU admissions and 83.5% (n = 111) of PICU deaths. The crude mortality rate in PICU was 2.84% overall. CCC-patients were 2.83 times more likely to die in PICU compared to non-CCC (OR 2.83; 95% CI: 1.78-4.49). Mortality increased in the CCC-cohort up to 5 years after PICU discharge, while non-CCC patients generally survived if they survived in PICU. Of the patients who died in PICU, the median PDR was 22.9% for CCC-patients and 66.5% in the non-CCC cohort., Conclusion: Children with CCC accounted for most admissions and deaths in PICU. Despite lower severity of illness scores upon admission, CCC patients were nearly three times more likely to die in PICU compared to non-CCC patients., (© 2024 The Author(s). Acta Paediatrica published by John Wiley & Sons Ltd on behalf of Foundation Acta Paediatrica.)

Previous work using U.S. data has identified generational shifts, reflected in inter-cohort changes, in the incidence and prevalence of diseases in older ages. This study extends previous findings to England by examining similar results in memory complaints, heart conditions, stroke, diabetes, lung disease, and cancer using data from the English Longitudinal Study of Ageing (ELSA). We fit Cox proportional hazard models to the first eight waves (2002-2016) of the ELSA sample ( n  = 18,528). In addition to exploring shifts in disease incidence we also examine shifts in disease mortality. Both general and sex-related differences are examined. Disease incidence has increased for later-born cohorts in England, replicating similar trends in the U.S. Not all diseases showed differences between men and women, but when differences were identified, women had lower risks for disease. In comparison to the U.S. sample, disease trends in England are more negative (i.e. accelerated failure times) for more recently born cohorts. These results showing increasing incidence of disease among the later-born cohorts suggest the possibility of increased disease burden in coming years.

Objectives: With the seeming end of the COVID-19 epidemic, international focus is rethinking its spillover consequences, such as on the routine provision and usage of healthcare. This study uses China's national death records to estimate the potential spillover effects of the COVID-19 pandemic on the mortality of non-COVID diseases in China, such as chronic diseases and mental disorders., Study Design: A longitudinal study., Methods: Using the difference-in-difference strategy, our results showed a sizeable increase in total non-COVID deaths and mortality from cardiovascular diseases, chronic kidney disease, diabetes, mental diseases, and suicide., Results: Notably, the deaths from diabetes and suicide increased by 4.60% and 7.08%, respectively, relative to the regions without pandemic cases in the first outbreak and escalated by 3.57% and 5.00%, respectively, when the control group switched to the same period in 2019., Conclusions: These results documented adverse spillover effects of COVID-19 on mortality of non-COVID diseases, suggesting inadequate provision and utilization of regular healthcare. The government and healthcare industry should adopt expedient policies for non-epidemic diseases and reallocate health resources to mitigate future pandemics like COVID-19., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Background: Disability and chronic diseases are prevalent conditions associated with mortality, but little information is available on their potential synergistic effects., Objective: This study aimed to describe additive interactions between disability and chronic diseases on mortality risk in middle-aged and older adults., Methods: A representative cohort of 22,800 community-dwelling Spanish people aged 50 years or older were interviewed for disability with the Global Activity Limitation Indicator and specific chronic diseases in the 2011-12 and 2014 National Health Surveys and subsequently followed up for mortality. Five-year all-cause mortality risks were standardized in each disability-by-comorbidity category through inverse probability weighting. We computed interaction contrasts as the departure of the standardized risk difference for people with both conditions from the sum of the standardized risk differences for those with any single condition., Results: The baseline prevalence of disability was 35.1 % (95 % confidence interval [CI] 34.4 %, 35.9 %). There was compelling evidence of synergistic effects of disability with chronic liver disease, heart diseases other than myocardial infarction, cancer, and cerebrovascular disease, with large positive interaction contrasts (95 % CIs) of 106.7 (-16.4, 229.9), 45.7 (6.9, 84.5), 45.1 (-15.0, 105.2), and 42.9 (-41.0, 126.9) excess deaths per 1000 persons. Less clear synergistic responses were observed for other comorbidities. We found some evidence of antagonism for osteoporosis, with a negative interaction contrast of -18.0 (95 % CI -82.2, 46.2) deaths per 1000 persons., Conclusion: Given the high mortality risk in people with disability, the study of its synergistic effects with target comorbidities can provide relevant information regarding preventive measures., Competing Interests: Declaration of competing interest Authors have no conflicts of interest to declare., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Introduction and Objectives: Although multiple studies suggest that chronic Chagas cardiomyopathy (CCC) has higher mortality than other cardiomyopathies, the absence of meta-analyses supporting this perspective limits the possibility of generating robust conclusions. The aim of this study was to systematically evaluate the current evidence on mortality risk in CCC compared with that of other cardiomyopathies., Methods: PubMed/Medline and EMBASE were searched for studies comparing mortality risk between patients with CCC and those with other cardiomyopathies, including in the latter nonischemic cardiomyopathy (NICM), ischemic cardiomyopathy, and non-Chagas cardiomyopathy (nonCC). A random-effects meta-analysis was performed to combine the effects of the evaluated studies., Results: A total of 37 studies evaluating 17 949 patients were included. Patients with CCC had a significantly higher mortality risk compared with patients with NICM (HR, 2.04; 95%CI, 1.60-2.60; I 2 , 47%; 8 studies) and non-CC (HR, 2.26; 95%CI, 1.65-3.10; I 2 , 71%; 11 studies), while no significant association was observed compared with patients with ischemic cardiomyopathy (HR, 1.72; 95%CI, 0.80-3.66; I 2 , 69%; 4 studies) in the adjusted-measures meta-analysis., Conclusions: Patients with CCC have an almost 2-fold increased mortality risk compared with individuals with heart failure secondary to other etiologies. This finding highlights the need for effective public policies and targeted research initiatives to optimally address the challenges of CCC., (Copyright © 2024 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.)

Introduction: We assessed chronic liver disease (CLD)-related mortality in the U.S. using death data (2011-2021) obtained from National Vital Statistics System (NVSS). The average annual percentage change (AAPC) from the models selected by Joinpoint regression analysis over the pre-pandemic (2011-2019) and the 2019-2021 were reported because non-linear trend in death rates were observed over the 2011-2021. Liver-specific death was defined as an underlying cause of death and Chronic liver disease (CLD)-related death was defined as any cause of death. During the pre-pandemic, age-standardized HCC- and cirrhosis-specific death rates were annually increased by AAPC = +1.18% (95% confidence interval, 0.34% to 2.03%) and AAPC = +1.95% (1.56% to 2.35%). In contrast, during the 2019-2021, the AAPC in age-standardized cirrhosis-specific death rate (per 100,000) accelerated by up to AAPC +11.25% (15.23 in 2019 to 18.86 in 2021) whereas that in age-standardized HCC-specific death rate slowed to -0.39 (-1.32% to 0.54%) (3.86 in 2019 to 3.84 in 2021). Compared to HCC-specific deaths, cirrhosis-specific deaths were more likely to be non-Hispanic white (72.4% vs. 62.0%) and non-Hispanic American Indian and Alaska native (AIAN) (2.2% vs. 1.1%) and have NAFLD (45.3% vs. 12.5%) and ALD (27.6% vs. 22.0%). During the 2019-2021, the age-standardized HCV- and HBV-related death rate stabilized, whereas the age-standardized NAFLD- and ALD-related deaths rate increased to 20.16 in 2021 (AAPC = +12.13% [7.76% to 16.68%]) and to 14.95 in 2021 (AAPC = +18.30% [13.76% to 23.03%]), which were in contrast to much smaller incremental increases during the pre-pandemic (AAPC = +1.82% [1.29% to 2.35%] and AAPC = +4.54% [3.97% to 5.11%]), respectively). The most pronounced rise in the age-standardized NAFLD-related death rates during the pandemic was observed among AIAN (AAPC = +25.38%), followed by non-Hispanic White female (AAPC = +14.28%), whereas the age-standardized ALD-related death rates during the pandemic were highest among AIAN (AAPC = +40.65%), followed by non-Hispanic Black female (AAPC = +26.79%)., Conclusions: COVID-19 pandemic had a major negative impact on cirrhosis-specific and CLD-related mortality in the U.S. with significant racial and gender disparities., Competing Interests: ZMY has received research funds or served as consultant to Gilead Sciences, Intercept, NovoNordisk, BMS, Abbvie, Merck, Madrigal, Genfit, Siemens, BMS, Terns and Viking. All other authors have no conflict of interest to disclose. This does not alter our adherence to PLOS ONE policies on sharing data and materials., (Copyright: © 2024 Paik et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

We investigated the associations between dietary patterns and chronic disease mortality in Switzerland using an ecological design and explored their spatial dependence, i.e. the tendency of near locations to present more similar and distant locations to present more different values than randomly expected. Data of the National Nutrition Survey menuCH (n 2057) were used to compute hypothesis- (Alternate Healthy Eating Index (AHEI)) and data-driven dietary patterns. District-level standardised mortality ratios (SMR) were calculated using the Swiss Federal Statistical Office mortality data and linked to dietary data geographically. Quasipoisson regression models were fitted to investigate the associations between dietary patterns and chronic disease mortality; Moran's I statistics were used to explore spatial dependence. Compared with the first, the fifth AHEI quintile (highest diet quality) was associated with district-level SMR of 0·95 (95 % CI 0·93, 0·97) for CVD, 0·91 (95 % CI 0·88, 0·95) for ischaemic heart disease (IHD), 0·97 (95 % CI 0·95, 0·99) for stroke, 0·99 (95 % CI 0·98, 1·00) for all-cancer, 0·98 (95 % CI 0·96, 0·99) for colorectal cancer and 0·93 (95 % CI 0·89, 0·96) for diabetes. The Swiss traditional and Western-like patterns were associated with significantly higher district-level SMR for CVD, IHD, stroke and diabetes (ranging from 1·02 to 1·08) compared with the Prudent pattern. Significant global and local spatial dependence was identified, with similar results across hypothesis- and data-driven dietary patterns. Our study suggests that dietary patterns partly contribute to the explanation of geographic disparities in chronic disease mortality in Switzerland. Further analyses including spatial components in regression models would allow identifying regions where nutritional interventions are particularly needed. [ABSTRACT FROM AUTHOR]

In Canada, most people prefer to die at home. However, the proportion of deaths that occur in hospital has increased over time. This study examined mortality rates and proportionate mortality in Innu communities in Labrador, and compared patterns to other communities in Labrador and Newfoundland. We conducted a cross-sectional ecological study with mortality data from the vital statistics system. This included information about all deaths in Newfoundland and Labrador from 1993 to 2018. We used descriptive statistics and rates to examine patterns by age, sex, cause and location. During the 2003 to 2018 period the leading cause of death in the Innu communities (excluding external causes) was cancer, followed by circulatory disease and respiratory disease. Between 1993 and 2018, there was a lower percentage of hospital deaths and a higher percentage of at home deaths in Innu communities than in the rest of the province. The majority of deaths among Innu were due to cancer and chronic diseases. We found a higher percentage of at home deaths in Innu communities compared to the rest of the province.

Background: Multimorbidity and frailty often concurrently occur among older adults., Objectives: To assess the reciprocal association between multimorbidity (condition count and patterns) and frailty and examine the mutual mediation effect of multimorbidity and frailty in their associations with mortality among Chinese older adults., Methods: This nationwide population-based longitudinal study included 16,563 participants aged ≥65 years in the Chinese Longitudinal Healthy Longevity Survey who were surveyed in 2008 and followed up in 2011, 2014, and 2018. Frailty phenotype was assessed by the modified Fried criteria and vital status was ascertained from family members. Cross-lagged panel model (CLPM) was used to test bidirectional associations between multimorbidity and frailty. The direct and indirect effects of multimorbidity and frailty on mortality were evaluated using the combined CLPM with survival analysis., Results: Three multimorbidity patterns were identified: cardiometabolic diseases, cognitive-sensory disorder, and arthritis-digestive-respiratory diseases. The number of chronic conditions and cognitive-sensory disease pattern showed bidirectional associations with frailty across waves (range for β: 0.046-0.109; all P < 0.001), while cardiometabolic and arthritis-digestive-respiratory patterns unidirectionally predicted frailty change. Furthermore, frailty mediated 23%-27% of the association between multimorbidity and mortality. Only the number of conditions and cognitive-sensory disease pattern were significant mediators in the association between frailty and mortality, with the proportion of mediation ranging 4%-12%., Conclusions: Multimorbidity measures including condition count and cognitive-sensory disease pattern are bi-directionally associated with frailty in older adults. These multimorbidity measures and frailty partially mediated each other's association with mortality, with frailty acting as a more prominent pathway in the association between multimorbidity and mortality., (Copyright © 2024 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

Objective: Existing approaches to fairness evaluation often overlook systematic differences in the social determinants of health, like demographics and socioeconomics, among comparison groups, potentially leading to inaccurate or even contradictory conclusions. This study aims to evaluate racial disparities in predicting mortality among patients with chronic diseases using a fairness detection method that considers systematic differences., Methods: We created five datasets from Mass General Brigham's electronic health records (EHR), each focusing on a different chronic condition: congestive heart failure (CHF), chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), chronic liver disease (CLD), and dementia. For each dataset, we developed separate machine learning models to predict 1-year mortality and examined racial disparities by comparing prediction performances between Black and White individuals. We compared racial fairness evaluation between the overall Black and White individuals versus their counterparts who were Black and matched White individuals identified by propensity score matching, where the systematic differences were mitigated., Results: We identified significant differences between Black and White individuals in age, gender, marital status, education level, smoking status, health insurance type, body mass index, and Charlson comorbidity index (p-value < 0.001). When examining matched Black and White subpopulations identified through propensity score matching, significant differences between particular covariates existed. We observed weaker significance levels in the CHF cohort for insurance type (p = 0.043), in the CKD cohort for insurance type (p = 0.005) and education level (p = 0.016), and in the dementia cohort for body mass index (p = 0.041); with no significant differences for other covariates. When examining mortality prediction models across the five study cohorts, we conducted a comparison of fairness evaluations before and after mitigating systematic differences. We revealed significant differences in the CHF cohort with p-values of 0.021 and 0.001 in terms of F1 measure and Sensitivity for the AdaBoost model, and p-values of 0.014 and 0.003 in terms of F1 measure and Sensitivity for the MLP model, respectively., Discussion and Conclusion: This study contributes to research on fairness assessment by focusing on the examination of systematic disparities and underscores the potential for revealing racial bias in machine learning models used in clinical settings., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Declaration of generative AI and AI-assisted technologies in the writing process Statement: During the preparation of this work the author(s) used ChatGPT in order to improve writing. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objectives: To better understand variations in multimorbidity severity over time, we estimate disability-free and disabling multimorbid life expectancy (MMLE), comparing Costa Rica, Mexico, and the United States (US). We also assess MMLE inequalities by sex and education., Methods: Data come from the Costa Rican Study on Longevity and Healthy Aging (2005-2009), the Mexican Health and Aging Study (2012-2018), and the Health and Retirement Study (2004-2018). We apply an incidence-based multistate Markov approach to estimate disability-free and disabling MMLE and stratify models by sex and education to study within-country heterogeneity. Multimorbidity is defined as a count of 2 or more chronic diseases. Disability is defined using limitations in activities of daily living., Results: Costa Ricans have the lowest MMLE, followed by Mexicans, then individuals from the US. Individuals from the US spend about twice as long with disability-free multimorbidity compared with individuals from Costa Rica or Mexico. Females generally have longer MMLE than males, with particularly stark differences in disabling MMLE. In the US, higher education was associated with longer disability-free MMLE and shorter disabling MMLE. We identified evidence for cumulative disadvantage in Mexico and the US, where sex differences in MMLE were larger among the lower educated., Discussion: Substantial sex and educational inequalities in MMLE exist within and between these countries. Estimating disability-free and disabling MMLE reveals another layer of health inequality not captured when examining disability and multimorbidity separately. MMLE is a flexible population health measure that can be used to better understand the aging process across contexts., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America.)

Objectives: To classify older adults into clusters based on accumulating long-term conditions (LTC) as trajectories, characterise clusters and quantify their associations with all-cause mortality., Design: We conducted a longitudinal study using the English Longitudinal Study of Ageing over 9 years (n=15 091 aged 50 years and older). Group-based trajectory modelling was used to classify people into clusters based on accumulating LTC over time. Derived clusters were used to quantify the associations between trajectory memberships, sociodemographic characteristics and all-cause mortality by conducting regression models., Results: Five distinct clusters of accumulating LTC trajectories were identified and characterised as: 'no LTC' (18.57%), 'single LTC' (31.21%), 'evolving multimorbidity' (25.82%), 'moderate multimorbidity' (17.12%) and 'high multimorbidity' (7.27%). Increasing age was consistently associated with a larger number of LTCs. Ethnic minorities (adjusted OR=2.04; 95% CI 1.40 to 3.00) were associated with the 'high multimorbidity' cluster. Higher education and paid employment were associated with a lower likelihood of progression over time towards an increased number of LTCs. All the clusters had higher all-cause mortality than the 'no LTC' cluster., Conclusions: The development of multimorbidity in the number of conditions over time follows distinct trajectories. These are determined by non-modifiable (age, ethnicity) and modifiable factors (education and employment). Stratifying risk through clustering will enable practitioners to identify older adults with a higher likelihood of worsening LTC over time to tailor effective interventions to prevent mortality., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)

"Lifestyle medicine (LM) is an evidence-based therapeutic intervention delivered by clinicians trained and certified in this specialty to prevent, treat, and often reverse chronic disease". Eighty percent of the conditions primary care physicians routinely encounter in their offices, e.g., diabetes mellitus, hypertension, COPD, cardiovascular disease, have root causes in poor lifestyle choices such as smoking, insufficient sleep, being sedentary, or eating highly processed foods. Lifestyle is the foundation of most chronic disease management guidelines aimed at reducing morbidity and mortality. Studies have shown that changes in lifestyle can be achieved and link almost directly to reduction in risk for chronic illness. Primary care physicians are ideally positioned to incorporate LM into their practices. It is important to recognize and find solutions to the many barriers to implementing LM at the patient, physician, and system level. There is an urgent need to increase opportunities for practicing physicians to increase their knowledge and skills related to LM and include this in medical school and residency curricula. Many resources exist that can provide the necessary training for seasoned physicians and students/residents to become competent in practicing LM and address barriers to implementing LM. LM has the potential to revolutionize clinical practice by placing a greater emphasis on disease prevention and the role of healthy lifestyle behaviors in disease management., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Chronic lower respiratory disease (CLRD) related mortality has decreased in the United States due to increasing awareness in the general population and advancing preventative efforts, diagnostic measures, and treatment. However, demographic and regional differences still persist throughout the United States. In this study, we analyzed the temporal trends of demographic and geographical differences in CLRD-related mortality. Data was extracted from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database. Using this data, age-adjusted mortality rates per 100,000 people (AAMR), annual percentage change (APC), and average annual percentage changes with 95% confidence intervals (CIs) were assessed. The Joinpoint Regression Program was used to determine mortality trends between 1999 and 2020 based on demographic and regional groups.During this study period, there were 3,064,049 CLRD-related deaths, with most demographics and regional areas showing an overall decreasing trend. However, higher mortality rates were seen in the non-Hispanic White population and rural areas. Interestingly, mortality rates witnessed a decreasing trend for males throughout the study duration compared to females, who only began to show decreases in mortality during the latter half of the 2010s. Using these results, one can target efforts and build policies to improve CLRD-related mortality and reduce disparities in the coming decades., (© 2024. The Author(s).)

Background: The reallocation of health care services during the coronavirus disease 2019 (COVID-19) pandemic disrupted the continuity of primary care. This study examines the repercussions of the COVID-19 pandemic on clinical indicators within the Catalan population, emphasising individuals with chronic conditions. It provides insights into mortality and transfer rates considering intersectional perspectives., Methods: We designed a retrospective, observational population-based cohort study based on routinely collected data from January 2015 to June 2021 for all individuals available in the Information System for Research in Primary Care (Sistema d'Informació per al Desenvolupament de la Investigació en Atenció Primària (SIDIAP)), the largest public primary care database in Catalonia, Spain. We included 6 301 095 individuals, constituting 81.6% of Catalonia's population in 2020. To perform a repeated measurements analysis of the indicators, we focussed on individuals who had one or more indicators in both the pre-pandemic (January 2015 to March 2020) and pandemic periods (March 2020 to June 2021), and those diagnosed with type 2 diabetes mellitus (T2D), high blood pressure, and heart failure. We selected key clinical indicators for analysis, including systolic and diastolic blood pressure, body mass index (BMI), cholesterol (total, high, and low-density lipoprotein), triglycerides, glycosylated haemoglobin, the Barthel index, and cardiovascular risk (Registre Gironí del cor (REGICOR) index)., Results: Mortality and transfer rates increased during the pandemic, contributing to a decline in the active population in the public health system. We also observed a reduction in pandemic period prevalence of patients with chronic conditions: -26.7% for heart failure, -15.1% for high blood pressure, and -14.6% for T2D. In both pre-pandemic and pandemic periods, 1 632 013 subjects had at least one clinical indicator record. Clinical indicators worsened in patients diagnosed with chronic conditions during the pandemic. Most indicators worsened, with differences between men and women (+9.4% vs +3.7% for the REGICOR index and -14.1% vs -16.6% for the Barthel index in men and in women, respectively), and to a similar extent (or greater in some cases) in individuals without these conditions., Conclusions: We used longitudinal data to assess the repercussions of the COVID-19 pandemic on population health while considering a wide range of clinical indicators and socioeconomic determinants. Our analysis shows a deterioration in clinical indicators during the pandemic, particularly in cardiometabolic factors, underscoring the importance of continuous primary care for individuals with chronic conditions., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

Purpose: The purpose of the study was to determine the relationships between ultra-processed food (UPF) consumption and risk of mortality due to chronic respiratory diseases (CRDs) overall, chronic obstructive pulmonary disease (COPD), and lung cancer., Methods: A total of 96,607 participants aged 55 years and over were included from the Prostate, Lung, Colorectal and Ovarian (PLCO) cancer trial. Dietary intake was measured using food frequency questionnaire. Cox regression was fitted to estimate the risk of all-cause mortality and mortality due to CRDs overall, COPD and lung cancer associated with UPF intake. Competing risk regression was used to account for deaths from other causes and censoring., Results: During the follow-up of 1,379,655.5 person-years (median 16.8 years), 28,700 all-cause, 4092 CRDs, 2015 lung cancer and 1,536 COPD mortality occurred. A higher intake of UPF increased the risk of mortality from CRDs overall by 10% (HR 1.10; 95% CI 1.01, 1.22) and COPD by 26% (HR 1.26; 95% CI 1.06, 1.49) but not associated with lung cancer mortality risk (HR 0.97; 95% CI 0.84, 1.12). However, the risk of lung cancer increased by 16% (HR 1.16; 95% CI 1.01, 1.34) in the highest UPF intake after multiple imputation. Dose-response relationships existed for CRDs and COPD mortality but not lung cancer., Conclusion: UPF consumption was associated with an increased risk of CRD mortality. The association between UPF consumption and lung cancer mortality is inconclusive and only significant when multiple imputation was applied., (© 2024. Crown.)

Introduction: It remains unclear whether depressive symptoms are associated with increased all-cause mortality and to what extent depressive symptoms are associated with chronic disease and all-cause mortality. The study aims to explore the relationship between depressive symptoms and all-cause mortality, and how depressive symptoms may, in turn, affect all-cause mortality among Chinese middle-aged and older people through chronic diseases., Methods: Data were collected from the China Health and Retirement Longitudinal Study (CHARLS). This cohort study involved 13,855 individuals from Wave 1 (2011) to Wave 6 (2020) of the CHARLS, which is a nationally representative survey that collects information from Chinese residents ages 45 and older to explore intrinsic mechanisms between depressive symptoms and all-cause mortality. The Center for Epidemiological Studies Depression Scale (CES-D-10) was validated through the CHARLS. Covariates included socioeconomic variables, living habits, and self-reported history of chronic diseases. Kaplan-Meier curves depicted mortality rates by depressive symptom levels, with Cox proportional hazards regression models estimating the hazard ratios (HRs) of all-cause mortality., Results: Out of the total 13,855 participants included, the median ( Q 1, Q 3) age was 58.00 (51.00, 63.00) years. Adjusted for all covariates, middle-aged and older adults with depressive symptoms had a higher all-cause mortality rate (HR = 1.20 [95% CI, 1.09-1.33]). An increased rate was observed for 55-64 years old (HR = 1.23 [95% CI, 1.03-1.47]) and more than 65 years old (HR = 1.32 [95% CI, 1.18-1.49]), agricultural Hukou (HR = 1.44, [95% CI, 1.30-1.59]), and nonagricultural workload (HR = 1.81 [95% CI, 1.61-2.03]). Depressive symptoms increased the risks of all-cause mortality among patients with hypertension (HR = 1.19 [95% CI, 1.00-1.40]), diabetes (HR = 1.41[95% CI, 1.02-1.95]), and arthritis (HR = 1.29 [95% CI, 1.09-1.51])., Conclusion: Depressive symptoms raise all-cause mortality risk, particularly in those aged 55 and above, rural household registration (agricultural Hukou), nonagricultural workers, and middle-aged and older people with hypertension, diabetes, and arthritis. Our findings through the longitudinal data collected in this study offer valuable insights for interventions targeting depression, such as early detection, integrated chronic disease care management, and healthy lifestyles; and community support for depressive symptoms may help to reduce mortality in middle-aged and older people., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Zhu, Wang, Li, Zhou, Li and Wang.)

Background: Women live longer than men, but they spend more life years with health-impairment. This article examines the extent to which this gender paradox can be explained by two factors: the "mortality effect," which results from the higher life expectancy of women, and "differential item functioning" (DIF), which refers to gender differences in reporting behavior., Methods: Impaired life expectancy at age 50 is calculated for the health indicators general health, limitations, and chronic morbidity using the Sullivan method. Data on health prevalence are obtained from the 2012 survey "Gesundheit in Deutschland aktuell" (GEDA), data on mortality is taken from the Human Mortality Database. The gender difference in impaired life expectancy is decomposed into the mortality effect and the health effect. The latter is finally adjusted for DIF effects on the basis of vignettes from the 2004 SHARE survey., Results: The gender paradox can be resolved not only partially but completely for all three health indicators considered by the mortality effect and DIF. After taking these two factors into account, the gender difference in impaired life expectancy reverses from higher values for women to higher values for men., Discussion: The causes of the gender paradox are highly complex and the differences between women and men in total and impaired life expectancy are not necessarily going into contradictory directions. The extent of women's higher impaired life expectancy depends decisively on the underlying health indicator and is largely explained by the mortality effect., (© 2024. The Author(s).)

Objectives: The characteristics of multimorbidity in the Chinese population are currently unclear. We aimed to determine the temporal change in multimorbidity prevalence, clustering patterns, and the association of multimorbidity with mortality from all causes and four major chronic diseases., Methods: This study analyzed data from the China Kadoorie Biobank study performed in Wuzhong District, Jiangsu Province. A total of 53,269 participants aged 30-79 years were recruited between 2004 and 2008. New diagnoses of 15 chronic diseases and death events were collected during the mean follow-up of 10.9 years. Yule's Q cluster analysis method was used to determine the clustering patterns of multimorbidity. A Cox proportional hazards model was used to estimate the associations of multimorbidity with mortalities., Results: The overall multimorbidity prevalence rate was 21.1% at baseline and 27.7% at the end of follow-up. Multimorbidity increased more rapidly during the follow-up in individuals who had a higher risk at baseline. Three main multimorbidity patterns were identified: (i) cardiometabolic multimorbidity (diabetes, coronary heart disease, stroke, and hypertension), (ii) respiratory multimorbidity (tuberculosis, asthma, and chronic obstructive pulmonary disease), and (iii) mental, kidney and arthritis multimorbidity (neurasthenia, psychiatric disorders, chronic kidney disease, and rheumatoid arthritis). There were 3,433 deaths during the follow-up. The mortality risk increased by 24% with each additional disease [hazard ratio (HR) = 1.24, 95% confidence interval (CI) = 1.20-1.29]. Compared with those without multimorbidity at baseline, both cardiometabolic multimorbidity and respiratory multimorbidity were associated with increased mortality from all causes and four major chronic diseases. Cardiometabolic multimorbidity was additionally associated with mortality from cardiovascular diseases and diabetes, with HRs of 2.64 (95% CI = 2.19-3.19) and 28.19 (95% CI = 14.85-53.51), respectively. Respiratory multimorbidity was associated with respiratory disease mortality, with an HR of 9.76 (95% CI = 6.22-15.31)., Conclusion: The prevalence of multimorbidity has increased substantially over the past decade. This study has revealed that cardiometabolic multimorbidity and respiratory multimorbidity have significantly increased mortality rates. These findings indicate the need to consider high-risk populations and to provide local evidence for intervention strategies and health management in economically developed regions., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Yu, Tao, Zhou, Su, Lu, Hua, Jin, Pei, Yu, Sun, Chen, Li and Lv.)

Objectives: To investigate associations between multimorbidity, socio-demographic and health behaviour factors, and their interactions (multimorbidity and these factors) with all-cause mortality among Thai adults. Methods: Associations between multimorbidity (coexistence of two + chronic diseases) and mortality between 2005 and 2019 were investigated among Thai Cohort Study (TCS) participants ( n = 87,151). Kaplan-Meier survival curves estimated and compared survival times. Multivariate Cox proportional hazards models examined associations between risk factors, and interactions between multimorbidity, these factors, and survival. Results: 1,958 cohort members died between 2005 and 2019. The risk of death was 43% higher for multimorbid people. In multivariate Cox proportional hazard models, multimorbidity/number of chronic conditions, age, long sleep duration, smoking and drinking were all independent factors that increased mortality risk. Women, urbanizers, university education, over 20,000-baht personal monthly income and soybean products consumption lowered risk. The interactions between multimorbidity and these variables (except for female, urbanizers and soybeans intake) also had significant ( p < 0.05) impact on all-cause mortality. Conclusion: The results emphasise the importance of healthy lifestyle and reduced intake of alcohol and tobacco, in reducing premature mortality, especially when suffering from multimorbidity., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2023 Feng, Sarma, Seubsman, Sleigh and Kelly.)

Background: Metrics that quantify economic and social spatial polarization at multiple geographical levels are not routinely used by health agencies, despite rising inequalities.Methods: We employed the Index of Concentration at the Extremes (ICE), which quantifies how persons in a specified area are concentrated into the top vs bottom of a specified societal distribution, to examine associations with Massachusetts mortality data (2010-14). Our a priori hypotheses were that these associations would: be greater at the local [census tract (CT)] compared with city/town level; vary by race/ethnicity but not gender; and be greatest for our new ICE for racialized economic segregation. Mortality outcomes comprised: child (< 5 years); premature (< 65 years); and cause-specific (cancer; cardiovascular; diabetes; suicide; HIV/AIDS; accidental poisoning; smoking-attributable).Results: As illustrated by child mortality, in multilevel models jointly including CT and city/town metrics, the rate ratio comparing the worst to best-off ICE quintile for the total population ranged from 2.2 [95% confidence interval (CI) 1.6, 3.0] for the CT-level ICE for racialized economic segregation down to 1.1 (95% CI 0.8, 1.7) for the city/town-level ICE for racial segregation; similar patterns occurred by gender and for the non-Hispanic White population. Larger associations for the ICE for racialized economic segregation were at the CT-level for the Black non-Hispanic population (6.9; 95% CI 1.3, 36.9) and at the city/town level for the Hispanic population (6.4; 95% CI 1.2, 35.4).Conclusions: Results indicate that health agencies should employ measures of spatial social polarization at multiple levels to monitor health inequities. [ABSTRACT FROM AUTHOR]

Inflammation, the body's protective response to injury and infection, plays a critical role in physical and mental health outcomes. Elevated chronic inflammation is implicated as a predictor of disease and all-cause mortality and is linked with several psychological disorders. Given that social support is associated with lower rates of mortality and psychopathology, the links between inflammation and social support are well-studied. However, there are many significant gaps related to both the specificity and generalizability of extant findings. There is a paucity of research on the association between social support and inflammation within different racial groups. Additionally, more research is warranted to understand whether social support from different sources uniquely contributes to inflammation, above and beyond other sources of support. Thus, the current study examined whether perceived emotional social support during adolescence predicted inflammation during adulthood within several racial groups. Participants (n = 3,390) were drawn from the National Longitudinal Study of Adolescent to Adult Health (Add Health), identified as either Asian, Black, Latinx, White, or Multiracial, and had complete data on study variables. Consistent with our hypotheses and previous research, greater perceived support during adolescence was associated with lower inflammation during adulthood, but only for White participants. Contrastingly, greater perceived support during adolescence was associated with higher inflammation during adulthood for individuals who identified as Asian, Latinx, Black, or Multiracial. Furthermore, patterns of social support and inflammation within each racial group varied by relationship type. These results highlight the importance of studying relationship processes and health outcomes within racial groups to understand their unique, lived experiences., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Importance: It is uncertain whether hormone therapy should be used for the primary prevention of chronic conditions such as heart disease, osteoporosis, or some types of cancers., Objective: To update evidence for the US Preventive Services Task Force on the benefits and harms of hormone therapy in reducing risks for chronic conditions., Data Sources: PubMed/MEDLINE, Cochrane Library, EMBASE, and trial registries from January 1, 2016, through October 12, 2021; surveillance through July 2022., Study Selection: English-language randomized clinical trials and prospective cohort studies of fair or good quality., Data Extraction and Synthesis: Dual review of abstracts, full-text articles, and study quality; meta-analyses when at least 3 similar studies were available., Main Outcomes and Measures: Morbidity and mortality related to chronic conditions; health-related quality of life., Results: Twenty trials (N = 39 145) and 3 cohort studies (N = 1 155 410) were included. Participants using estrogen only compared with placebo had significantly lower risks for diabetes over 7.1 years (1050 vs 903 cases; 134 fewer [95% CI, 18-237]) and fractures over 7.2 years (1024 vs 1413 cases; 388 fewer [95% CI, 277-489]) per 10 000 persons. Risks per 10 000 persons were statistically significantly increased for gallbladder disease over 7.1 years (1113 vs 737 cases; 377 more [95% CI, 234-540]), stroke over 7.2 years (318 vs 239 cases; 79 more [95% CI, 15-159]), venous thromboembolism over 7.2 years (258 vs 181 cases; 77 more [95% CI, 19-153]), and urinary incontinence over 1 year (2331 vs 1446 cases; 885 more [95% CI, 659-1135]). Participants using estrogen plus progestin compared with placebo experienced significantly lower risks, per 10 000 persons, for colorectal cancer over 5.6 years (59 vs 93 cases; 34 fewer [95% CI, 9-51]), diabetes over 5.6 years (403 vs 482 cases; 78 fewer [95% CI, 15-133]), and fractures over 5 years (864 vs 1094 cases; 230 fewer [95% CI, 66-372]). Risks, per 10 000 persons, were significantly increased for invasive breast cancer (242 vs 191 cases; 51 more [95% CI, 6-106]), gallbladder disease (723 vs 463 cases; 260 more [95% CI, 169-364]), stroke (187 vs 135 cases; 52 more [95% CI, 12-104]), and venous thromboembolism (246 vs 126 cases; 120 more [95% CI, 68-185]) over 5.6 years; probable dementia (179 vs 91 cases; 88 more [95% CI, 15-212]) over 4.0 years; and urinary incontinence (1707 vs 1145 cases; 562 more [95% CI, 412-726]) over 1 year., Conclusions and Relevance: Use of hormone therapy in postmenopausal persons for the primary prevention of chronic conditions was associated with some benefits but also with an increased risk of harms.

Introduction: This study is to validate Palliative Prognostic Index (PPI) as a tool for six months prognostication in geriatric patients with advanced chronic medical conditions and to identify other independent prognostic markers of survival., Methods: This was a prospective and observational study of 108 geriatric patients conducted at Pusat Jantung Hospital Umum Sarawak (PJHUS) Kota Samarahan and Sarawak General Hospital (SGH). The PPI scores were calculated and determined at the time of admission. Mortality is considered as the primary outcome. Sensitivity and specificity analysis were conducted to test the accuracy of PPI. The ideal cut-off value for PPI and other associated markers were determined based on the highest value of Youden Index. Cox regression analysis and survival analysis were applied to test the association between potential markers within six months., Results: PPI score has a significant association with survival within six months based on univariate and multivariate analyses (p<0.05). Total PPI had a hazard ratio of 1.56 (95% Confidence Interval (95%CI): 1.33,1.57). The study shows PPI reported area under the curve-ROC of 0.945 with p<0.001. PPI score with cut-off value of six reports the highest accuracy in predicting death within six months with sensitivity and specificity of 88.6% and 90.6%, respectively. Total PPI score of >6 with serum albumin level ≤25, the sensitivity and specificity tested were 100.0%., Conclusion: PPI has the potential to be a useful and significant predictor of mortality within six months in the geriatric population with an advanced chronic medical condition. This study also re-emphasised the strong prognostic role of other markers such as Palliative Performance Scale, Barthel Index, and serum albumin level. This study has identified that hypoalbuminemia cut-off value of 25g/dL analysed against PPI score of >5 revealed extremely high accuracy of prognostication for mortality.

Importance: The rate of postoperative death in children undergoing tonsillectomy is uncertain. Mortality rates are not separately available for children at increased risk of complications, including young children (aged <3 y) and those with sleep-disordered breathing or complex chronic conditions., Objective: To estimate postoperative mortality following tonsillectomy in US children, both overall and in relation to recognized risk factors for complications., Design, Setting, and Participants: Retrospective cohort study based on longitudinal analysis of linked records in state ambulatory surgery, inpatient, and emergency department discharge data sets distributed by the Healthcare Cost and Utilization Project for 5 states covering 2005 to 2017. Participants included 504 262 persons younger than 21 years for whom discharge records were available to link outpatient or inpatient tonsillectomy with at least 90 days of follow-up., Exposures: Tonsillectomy with or without adenoidectomy., Main Outcome and Measures: Postoperative death within 30 days or during a surgical stay lasting more than 30 days. Modified Poisson regression with sample weighting was used to estimate postoperative mortality per 100 000 operations, both overall and in relation to age group, sleep-disordered breathing, and complex chronic conditions., Results: The 504 262 children in the cohort underwent a total of 505 182 tonsillectomies (median [IQR] patient age, 7 [4-12] years; 50.6% females), of which 10.1% were performed in young children, 28.9% in those with sleep-disordered breathing, and 2.8% in those with complex chronic conditions. There were 36 linked postoperative deaths, which occurred a median (IQR) of 4.5 (2-20.5) days after surgical admission, and most of which (19/36 [53%]) occurred after surgical discharge. The unadjusted mortality rate was 7.04 (95% CI, 4.97-9.98) deaths per 100 000 operations. In multivariable models, neither age younger than 3 years nor sleep-disordered breathing was significantly associated with mortality, but children with complex chronic conditions had significantly higher mortality (16 deaths/14 299 operations) than children without these conditions (20 deaths/490 883 operations) (117.22 vs 3.87 deaths per 100 000 operations; adjusted rate difference, 113.55 [95% CI, 51.45-175.64] deaths per 100 000 operations; adjusted rate ratio, 29.39 [95% CI, 13.37-64.62]). Children with complex chronic conditions accounted for 2.8% of tonsillectomies but 44% of postoperative deaths. Most deaths associated with complex chronic conditions occurred in children with neurologic/neuromuscular or congenital/genetic disorders., Conclusions and Relevance: Among children undergoing tonsillectomy, the rate of postoperative death was 7 per 100 000 operations overall and 117 per 100 000 operations among children with complex chronic conditions. These findings may inform decision-making for pediatric tonsillectomy.

Objectives: Determinants of mortality may depend on the time and place where they are examined. China provides an important context in which to study the determinants of mortality at older ages because of its unique social, economic, and epidemiological circumstances. This study uses a nationally representative sample of persons in China to determine how socioeconomic characteristics, early-life conditions, biological and physical functioning, and disease burden predict 4-year mortality after age 60., Methods: We used data from the China Health and Retirement Longitudinal Study. We employed a series of Cox proportional hazard models based on exact survival time to predict 4-year all-cause mortality between the 2011 baseline interview and the 2015 interview., Results: We found that rural residence, poor physical functioning ability, uncontrolled hypertension, diabetes, cancer, a high level of systemic inflammation, and poor kidney functioning are strong predictors of mortality among older Chinese., Discussion: The results show that the objectively measured indicators of physical functioning and biomarkers are independent and strong predictors of mortality risk after accounting for several additional self-reported health measures, confirming the value of incorporating biological and performance measurements in population health surveys to help understand health changes and aging processes that lead to mortality. This study also highlights the importance of social and historical context in the study of old-age mortality., (© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Systemic chronic inflammation (SCI) is persistent, health-damaging, low-grade inflammation that plays a major role in immunosenescence and in development and progression of many diseases. But currently, there are no recognized standard biomarkers to assess SCI levels alone, and SCI is typically measured by combining biomarkers of acute inflammation and infection, e.g., CRP, IL-6, and TNFα. In this review, we highlight 10 properties and characteristics that are shared by the blood protein soluble urokinase plasminogen activator receptor (suPAR) and SCI, supporting the argument that suPAR is a biomarker of SCI: (1) Expression and release of suPAR is upregulated by immune activation; (2) uPAR and suPAR exert pro-inflammatory functions; (3) suPAR is associated with the amount of circulating immune cells; (4) Blood suPAR levels correlate with the levels of established inflammatory biomarkers; (5) suPAR is minimally affected by acute changes and short-term influences, in contrast to many currently used markers of systemic inflammation; (6) Like SCI, suPAR is non-specifically associated with multiple diseases; (7) suPAR and SCI both predict morbidity and mortality; (8) suPAR and SCI share the same risk factors; (9) suPAR is associated with risk factors and outcomes of inflammation above and beyond other inflammatory biomarkers; (10) The suPAR level can be reduced by anti-inflammatory interventions and treatment of disease. Assessing SCI has the potential to inform risk for morbidity and mortality. Blood suPAR is a newer biomarker which may, in fact, be a biomarker of SCI since it is stably associated with inflammation and immune activation; shares the same risk factors as many age-related diseases; is both elevated by and predicts age-related diseases. There is strong evidence that suPAR is a prognostic marker of adverse events, morbidity, and mortality. It is associated with immune activity and prognosis across diverse conditions, including kidney disease, cardiovascular disease, cancer, diabetes, and inflammatory disorders. Thus, we think it likely represents a common underlying disease-process shared by many diseases; that is, SCI. We review the supporting literature and propose a research agenda that can help test the hypothesis that suPAR indexes SCI, with the potential of becoming the new gold standard for measuring SCI., Competing Interests: JE-O is a named inventor on patents on suPAR as a prognostic biomarker. The patents are owned by Copenhagen University Hospital Amager and Hvidovre, Denmark, and is licensed to ViroGates A/S. JE-O is a co-founder, shareholder, and CSO of ViroGates A/S. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Rasmussen, Petersen and Eugen-Olsen.)

Background: Clinical outcomes among COVID-19 patients vary greatly with age and underlying comorbidities. We aimed to determine the demographic and clinical factors, particularly baseline chronic conditions, associated with an increased risk of severity in COVID-19 patients from a population-based perspective and using data from electronic health records (EHR)., Methods: Retrospective, observational study in an open cohort analyzing all 68,913 individuals (mean age 44.4 years, 53.2% women) with SARS-CoV-2 infection between 15 June and 19 December 2020 using exhaustive electronic health registries. Patients were followed for 30 days from inclusion or until the date of death within that period. We performed multivariate logistic regression to analyze the association between each chronic disease and severe infection, based on hospitalization and all-cause mortality., Results: 5885 (8.5%) individuals showed severe infection and old age was the most influencing factor. Congestive heart failure (odds ratio -OR- men: 1.28, OR women: 1.39), diabetes (1.37, 1.24), chronic renal failure (1.31, 1.22) and obesity (1.21, 1.26) increased the likelihood of severe infection in both sexes. Chronic skin ulcers (1.32), acute cerebrovascular disease (1.34), chronic obstructive pulmonary disease (1.21), urinary incontinence (1.17) and neoplasms (1.26) in men, and infertility (1.87), obstructive sleep apnea (1.43), hepatic steatosis (1.43), rheumatoid arthritis (1.39) and menstrual disorders (1.18) in women were also associated with more severe outcomes., Conclusions: Age and specific cardiovascular and metabolic diseases increased the risk of severe SARS-CoV-2 infections in men and women, whereas the effects of certain comorbidities are sex specific. Future studies in different settings are encouraged to analyze which profiles of chronic patients are at higher risk of poor prognosis and should therefore be the targets of prevention and shielding strategies., Competing Interests: The authors have declared that no competing interests exist.

Importance: Chronic lower respiratory disease (CLRD) is the fourth leading cause of death in the United States, which imposes a considerable burden on individuals, families, and societies. The association between county-level health disparity and CLRD outcomes in New York state needs investigation., Objective: To evaluate the associations of CLRD outcomes with county-level health disparities in New York state., Design, Setting, and Participants: In this cross-sectional study, CLRD age-adjusted hospitalization for 2016 and mortality rates from 2014 to 2016 were obtained from the New York state Community Health Indicator Reports provided by the New York state Department of Health. County Health Rankings were used to evaluate various health factors to provide a summary z score for each county representing the county health status and how that county ranks in the state. Data analysis was performed from November 2020 to March 2021., Main Outcomes and Measures: The main outcomes were age-adjusted hospitalization and mortality rates for CLRD. The z score was calculated from the County Health Rankings, which includes subindicators of health behaviors, clinical care, social and economic factors, and physical environment. Pearson r and linear regression models were estimated., Results: During the study, 60 335 discharges were documented as CLRD hospitalizations in 2016 and 20 612 people died from CLRD from 2014 to 2016 in New York state. After adjusting for age, the CLRD hospitalization rate was 27.6 per 10 000 population, and the mortality rate was 28.9 per 100 000 population. Among 62 counties, Bronx had the highest hospitalization rate (64.7 per 10 000 population) whereas Hamilton had the lowest hospitalization rate (6.6 per 10 000 population). Mortality rates ranged from 17.4 per 100 000 population in Kings to 62.9 per 100 000 population in Allegany. County Health Rankings indicated Nassau had the lowest z score (the healthiest), at -1.17, but Bronx had the highest z score (the least healthy), at 1.43, for overall health factors in 2018. An increase of 1 point in social and economic factors z score was associated with an increase of 17.6 hospitalizations per 10 000 population (β = 17.61 [95% CI, 10.36 to 24.87]; P < .001). A 1-point increase in health behaviors z score was associated with an increase of 41.4 deaths per 100 000 population (β = 41.42 [95% CI, 29.88 to 52.97]; P < .001)., Conclusions and Relevance: In this cross-sectional study, CLRD outcomes were significantly associated with county-level health disparities in New York state. These findings suggest that public health interventions and resources aimed at improving CLRD outcomes should be tailored and prioritized in health disadvantaged areas.

Aims: To evaluate the acute and chronic patterns of myocardial injury among patients with coronavirus disease-2019 (COVID-19), and their mid-term outcomes., Methods and Results: Patients with laboratory-confirmed COVID-19 who had a hospital encounter within the Mount Sinai Health System (New York City) between 27 February 2020 and 15 October 2020 were evaluated for inclusion. Troponin levels assessed between 72 h before and 48 h after the COVID-19 diagnosis were used to stratify the study population by the presence of acute and chronic myocardial injury, as defined by the Fourth Universal Definition of Myocardial Infarction. Among 4695 patients, those with chronic myocardial injury (n = 319, 6.8%) had more comorbidities, including chronic kidney disease and heart failure, while acute myocardial injury (n = 1168, 24.9%) was more associated with increased levels of inflammatory markers. Both types of myocardial injury were strongly associated with impaired survival at 6 months [chronic: hazard ratio (HR) 4.17, 95% confidence interval (CI) 3.44-5.06; acute: HR 4.72, 95% CI 4.14-5.36], even after excluding events occurring in the first 30 days (chronic: HR 3.97, 95% CI 2.15-7.33; acute: HR 4.13, 95% CI 2.75-6.21). The mortality risk was not significantly different in patients with acute as compared with chronic myocardial injury (HR 1.13, 95% CI 0.94-1.36), except for a worse prognostic impact of acute myocardial injury in patients <65 years of age (P-interaction = 0.043) and in those without coronary artery disease (P-interaction = 0.041)., Conclusion: Chronic and acute myocardial injury represent two distinctive patterns of cardiac involvement among COVID-19 patients. While both types of myocardial injury are associated with impaired survival at 6 months, mortality rates peak in the early phase of the infection but remain elevated even beyond 30 days during the convalescent phase., (© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Background: The epidemiological transition, touted as occurring in Ghana, requires research that tracks the changing patterns of diseases in order to capture the trend and improve healthcare delivery. This study examines national trends in mortality rate and cause of death at health facilities in Ghana between 2014 and 2018., Methods: Institutional mortality data and cause of death from 2014-2018 were sourced from the Ghana Health Service's District Health Information Management System. The latter collates healthcare service data routinely from government and non-governmental health institutions in Ghana yearly. The institutional mortality rate was estimated using guidelines from the Ghana Health Service. Percent change in mortality was examined for 2014 and 2018. In addition, cause of death data were available for 2017 and 2018. The World Health Organisation's 11th International Classification for Diseases (ICD-11) was used to group the cause of death., Results: Institutional mortality decreased by 7% nationally over the study period. However, four out of ten regions (Greater Accra, Volta, Upper East, and Upper West) recorded increases in institutional mortality. The Upper East (17%) and Volta regions (13%) recorded the highest increase. Chronic non-communicable diseases (NCDs) were the leading cause of death in 2017 (25%) and 2018 (20%). This was followed by certain infectious and parasitic diseases (15% for both years) and respiratory infections (10% in 2017 and 13% in 2018). Among the NCDs, hypertension was the leading cause of death with 2,243 and 2,472 cases in 2017 and 2018. Other (non-ischemic) heart diseases and diabetes were the second and third leading NCDs. Septicaemia, tuberculosis and pneumonia were the predominant infectious diseases. Regional variations existed in the cause of death. NCDs showed more urban-region bias while infectious diseases presented more rural-region bias., Conclusions: This study examined national trends in mortality rate and cause of death at health facilities in Ghana. Ghana recorded a decrease in institutional mortality throughout the study. NCDs and infections were the leading causes of death, giving a double-burden of diseases. There is a need to enhance efforts towards healthcare and health promotion programmes for NCDs and infectious diseases at facility and community levels as outlined in the 2020 National Health Policy of Ghana., Competing Interests: The authors have declared that no competing interests exist.

Identification of high-risk patients admitted to intensive care with COVID-19 may inform management strategies. The objective of this meta-analysis was to determine factors associated with mortality among adults with COVID-19 admitted to intensive care by searching databases for studies published between 1 January 2020 and 6 December 2020. Observational studies of COVID-19 adults admitted to critical care were included. Studies of mixed cohorts and intensive care cohorts restricted to a specific patient sub-group were excluded. Dichotomous variables were reported with pooled OR and 95%CI, and continuous variables with pooled standardised mean difference (SMD) and 95%CI. Fifty-eight studies (44,305 patients) were included in the review. Increasing age (SMD 0.65, 95%CI 0.53-0.77); smoking (OR 1.40, 95%CI 1.03-1.90); hypertension (OR 1.54, 95%CI 1.29-1.85); diabetes (OR 1.41, 95%CI 1.22-1.63); cardiovascular disease (OR 1.91, 95%CI 1.52-2.38); respiratory disease (OR 1.75, 95%CI 1.33-2.31); renal disease (OR 2.39, 95%CI 1.68-3.40); and malignancy (OR 1.81, 95%CI 1.30-2.52) were associated with mortality. A higher sequential organ failure assessment score (SMD 0.86, 95%CI 0.63-1.10) and acute physiology and chronic health evaluation-2 score (SMD 0.89, 95%CI 0.65-1.13); a lower PaO 2 :F I O 2 (SMD -0.44, 95%CI -0.62 to -0.26) and the need for mechanical ventilation at admission (OR 2.53, 95%CI 1.90-3.37) were associated with mortality. Higher white cell counts (SMD 0.37, 95%CI 0.22-0.51); neutrophils (SMD 0.42, 95%CI 0.19-0.64); D-dimers (SMD 0.56, 95%CI 0.43-0.69); ferritin (SMD 0.32, 95%CI 0.19-0.45); lower platelet (SMD -0.22, 95%CI -0.35 to -0.10); and lymphocyte counts (SMD -0.37, 95%CI -0.54 to -0.19) were all associated with mortality. In conclusion, increasing age, pre-existing comorbidities, severity of illness based on validated scoring systems, and the host response to the disease were associated with mortality; while male sex and increasing BMI were not. These factors have prognostic relevance for patients admitted to intensive care with COVID-19., (© 2021 Association of Anaesthetists.)

Background: Multimorbidity is common in adults aged 65 and older and is associated with health care utilization and mortality, but most methods ignore the interrelationship among concurrent outcome nor provide person-specific probabilities., Method: A longitudinal cohort of 5300 older Americans from the 2011-2015 rounds of the National Health and Aging Study was linked to Center for Medicare and Medicaid Services claims. Odds ratios for 15 chronic conditions adjusted for sociodemographic factors were estimated using a joint model of hospitalization, skilled nursing facility (SNF) admission, and mortality. Additionally, we estimated the person-specific probability of an outcome while currently at risk for other outcomes for different chronic disease combinations demonstrating the heterogeneity across persons with identical chronic conditions., Results: During the 4-year follow-up period, 2867 (54.1%) individuals were hospitalized, 1029 (19.4%) were admitted to a SNF, and 1237 (23.3%) died. Chronic kidney disease, dementia, heart failure, and chronic obstructive pulmonary disease had significant increased odds for all 3 outcomes. By incorporating a person-specific random intercept, there was considerable range of person-specific probabilities for individuals with hypertension, diabetes, and depression with dementia, (hospitalization: 0.14-0.61; SNF admission: 0.04-0.28) and without dementia (hospitalization: 0.07-0.44; SNF admission: 0.02-0.15). Such heterogeneity was found among individuals with heart failure, ischemic heart disease, chronic kidney disease, hypertension, hyperlipidemia, and osteoarthritis with and without Medicare., Conclusions: This approach of joint modeling of interrelated concurrent health care and mortality outcomes not only provides a cohort-level odds and probabilities but addresses the heterogeneity among otherwise similarly characterized persons identifying those with above-average probability of poor outcomes., (© The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: To determine the incidence of serious chronic health conditions among survivors of pediatric Hodgkin lymphoma (HL), compare by era of therapy and by selected cancer therapies, and provide estimates of risks associated with contemporary therapy., Methods: Assessing 2,996 5-year HL survivors in the Childhood Cancer Survivor Study diagnosed from 1970 to 1999, we examined the cumulative incidence of severe to fatal chronic conditions (grades 3-5) using self-report conditions, medically confirmed subsequent malignant neoplasms, and cause of death based on the National Death Index. We used multivariable regression models to estimate hazard ratios (HRs) per decade and by key treatment exposures., Results: HL survivors were of a mean age of 35.6 years (range, 12-58 years). The cumulative incidence of any grade 3-5 condition by 35 years of age was 31.4% (95% CI, 29.2 to 33.5). Females were twice as likely (HR, 2.1; 95% CI, 1.8 to 2.4) to have a grade 3-5 condition compared with males. From the 1970s to the 1990s, there was a 20% reduction (HR, 0.8; 95% CI, 0.7 to 0.9) in decade-specific risk of a grade 3-5 condition ( P trend = .002). In survivors who had a recurrence and/or hematopoietic cell transplant, the risk of a grade 3-5 condition was substantially elevated, similar to that of survivors treated with high-dose, extended-field radiotherapy (HR, 1.2; 95% CI, 0.9 to 1.5). Compared with survivors treated with chest radiotherapy ≥ 35 Gy in combination with an anthracycline or alkylator, a contemporary regimen for low-intermediate risk HL was estimated to lead to a 40% reduction in risk of a grade 3-5 condition (HR, 0.6; 95% CI, 0.4 to 0.8)., Conclusion: This study demonstrates that risk-adapted therapy for pediatric HL has resulted in a significant reduction in serious long-term outcomes.

Objective: To report the intra-operative adverse events (IOAEs) and the initial and one year outcomes of retrograde open mesenteric stenting (ROMS) using balloon expandable covered stents for acute and chronic mesenteric ischaemia., Methods: Clinical data and outcomes of all consecutive patients treated with ROMS for acute and chronic mesenteric ischaemia at an intestinal stroke centre between November 2012 and September 2019 were reviewed. ROMS was performed using balloon expandable covered stents. Endpoints included IOAEs, in hospital mortality, post-operative complications, and re-interventions. One year overall survival, freedom from re-intervention, primary patency and assisted primary patency rates were analysed using the Kaplan-Meier time to event method., Results: During the study period, 379 patients were referred to the centre for acute or chronic mesenteric ischaemia. Thirty-seven patients who underwent the ROMS procedure were included. All the patients had severe atherosclerotic mesenteric lesions. The ROMS technical success rate was 89% in this cohort. The rate of IOAEs was 19% and included four cases of retrograde recanalisation failure. All ROMS failures occurred in patients presenting with flush superior mesenteric artery occlusion and they were treated by mesenteric bypass. Ten patients (27%) underwent bowel resection, four of which resulted in a short bowel syndrome (11%). The in hospital mortality rate was 27%. Post-operative complications and re-intervention rates were 67% (n = 25) and 32% (n = 12), respectively. The median follow up was 20.2 months (interquartile range 29). The estimated one year overall survival for the cohort was 70.1% (95% confidence interval [CI] 52.5% - 82.2%). The estimated freedom from re-intervention at one year was 61.1% (95% CI 42.3 - 75.4). The one year primary patency and assisted primary patency rates were 84.54% (95% CI 63.34 - 94) and 92.4% (95% CI 72.8 - 98), respectively., Conclusion: ROMS procedures offer acceptable one year outcomes for mesenteric ischaemia but are associated with frequent stent related complications. Precise pre-operative planning, high quality imaging, and meticulous stent placement techniques may limit the occurrence of such events., (Copyright © 2021 European Society for Vascular Surgery. Published by Elsevier B.V. All rights reserved.)

Objective: To assess the factors associated with the de-hospitalization of children and adolescents with complex chronic condition., Methods: This cross-sectional and retrospective study investigated a sample of children and adolescents admitted to the Dehospitalization Training Unit, from January 2012 to December 2017. Data were collected by consulting medical records and patient record books, from November 2018 to June 2019. The length of stay in the unit, de-hospitalization, readmissions, frequency and cause of death, age, sex, diagnosis, place of residence, number of caregivers and kinship, and use of devices were studied. The chi-square test was used to verify the association between the dependent variable (de-hospitalization) and the independent variables (age, sex, place of residence, use of devices, and clinical diagnosis)., Results: A total of 93 patient records were analyzed, 37.6% aged between 7 months and 2 years old, 58.1% boys, 95.7% used tracheostomy, 92.5% gastrostomy, and 71% invasive mechanical ventilation. Hypoxic-ischemic encephalopathy was the diagnosis of 40.3% of the sample. Average hospitalization time was 288 ± 265 days; 60.2% were hospitalized between 31 days and one year, representing 50% of deaths. Of those de-hospitalized, 76.3% were discharged to the Ventilatory Assistance Homecare Program. De-hospitalization was associated with the child or adolescent's place of residence (p=0.027) and use of ventriculoperitoneal shunt (p=0.021)., Conclusions: This study identified that de-hospitalization may be associated with the place of residence of the child or adolescent, with the highest number of discharges to the state capital, and non-dehospitalization when using ventricular-peritoneal shunt.

The average life expectancy of the world population has increased remarkably in the past 150 years and it is still increasing. A long life is a dream of humans since the beginning of time but also a dream is to live it in good physical and mental condition. Nutrition research has focused on recent decades more on food combination patterns than on individual foods/nutrients due to the possible synergistic/antagonistic effects of the components in a dietary model. Various dietary patterns have been associated with health benefits, but the largest body of evidence in the literature is attributable to the traditional dietary habits and lifestyle followed by populations from the Mediterranean region. After the Seven Countries Study, many prospective observational studies and trials in diverse populations reinforced the beneficial effects associated with a higher adherence to the Mediterranean diet in reference to the prevention/management of age-associated non-communicable diseases, such as cardiovascular and metabolic diseases, neurodegenerative diseases, cancer, depression, respiratory diseases, and fragility fractures. In addition, the Mediterranean diet is ecologically sustainable. Therefore, this immaterial world heritage constitutes a healthy way of eating and living respecting the environment.

Background: The signalling peptide endotrophin is derived through proteolytic cleavage of the carboxyl-terminal during formation of type VI collagen. It is expressed by most descendants of the mesenchymal stem cells lineage, including adipocytes and fibroblasts, and have been proposed to be a central extracellular matrix hormone associated with several age-related diseases. We aimed to assess the association of endotrophin with chronic disease incidence and death in older women., Methods: 5,602 elderly Danish women from the observational, prospective cohort: The Prospective Epidemiological Risk Factor (PERF) study were included in the analysis which covered baseline (BL) and follow-up (FU) 14 years later. An elastic net was used to investigate the relative importance of 58 variables to serum endotrophin-levels. 20 chronic diseases were defined on the basis of clinical variables available along with diagnoses extracted from both the National Patient Register, the National Diabetes Register and the Danish Cancer Registry. The cross-sectional associations between endotrophin-levels and these 17 chronic age-related diseases were investigated using logistic regression and a set-analysis explored disease-combinations within multimorbidity. The association of endotrophin with mortality was assessed by Cox proportional hazard models., Findings: Formation of type III collagen (PRO-C3), age and creatine-levels were the most influential variables of endotrophin-levels. Several chronic diseases were significantly associated with endotrophin-levels independent of age and BMI including chronic kidney disease (BL OR=3.7, p < 0.001; FU OR = 7.9 p < 0.001), diabetes (BL OR = 1.5, p = 0.0015, FU OR=1.6, p = 0.004) and peripheral arterial disease (BL OR = 1.3, p = 0.029; FU OR=2.4, p < 0.001). Lastly, endotrophin-levels were significantly rising with number of morbidities (p < 0.001) and a predictor of death after adjusting for age and BMI (BL HR=1.95; FU HR = 2.00)., Interpretation: Endotrophin was associated with death and increased with number of morbidities. Endotrophin may be a central hormone of fibroblast that warrant investigation and possible targeted intervention in several chronic diseases., Funding: The funder of the PERF study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication., Competing Interests: Declaration of Competing Interest CLB, CC, LMS, MK, PF report grants from the Danish Research Foundation (Den Danske Forskningsfond) during the conduct of the study. CLB and MK report personal fees from ProScion A/S. CLB, MK and PF report personal fees from Nordic Bioscience A/S. CLB, CC and MK have stock in Nordic Bioscience A/S. CC reports being a board member of Nordic Bioscience A/S. CC and SB reports being a board member of ProScion A/S. JWH has nothing to disclose. LMS reports being a PhD student at ProScion A/S and Nordic Bioscience A/S. SB reports ownership in Intomics A/S, Hoba Therapeutics A/S and Lundbeck A/S., (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background and Aims: In India, COVID-19 case fatality rates (CFRs) have consistently been very high in states like Punjab and Maharashtra and very low in Kerala and Assam. To investigate the discrepancy in state-wise CFRs, datasets on various factors related to demography, socio-economy, public health, and healthcare capacity have been collected to study their association with CFR., Methods: State-wise COVID-19 data was collected till April 22, 2021. The latest data on the various factors have been collected from reliable sources. Pearson correlation, two-tailed P test, Spearman rank correlation, and Artificial Neural Network (ANN) structures have been used to assess the association between various factors and CFR., Results: Life expectancies, prevalence of overweight, COVID-19 test positive rates, and H1N1 fatality rates show a significant positive association with CFR. Human Development Index, per capita GDP, public affairs index, health expenditure per capita, availability of govt. doctors & hospital beds, prevalence of certain diseases, and comorbidities like diabetes and hypertension show insignificant association with CFR. Sex ratio, health expenditure as a percent of GSDP, and availability of govt. hospitals show a significant negative correlation with CFR., Conclusion: The study indicates that older people, males of younger age groups, and overweight people are at more fatality risk from COVID-19. Certain diseases and common comorbidities like diabetes and hypertension do not seem to have any significant effect on CFR. States with better COVID-19 testing rates, health expenditure, and healthcare capacity seem to perform better with regard to COVID-19 fatality rates., Competing Interests: Declaration of competing interest Declare that they have no known competing financial or non-financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Diabetes India. Published by Elsevier Ltd. All rights reserved.)

Social determinants of health, including poverty, contribute significantly to health outcomes in the United States; however, their impact on pediatric hematopoietic cell transplantation (HCT) outcomes is poorly understood. We aimed to identify the association between neighborhood poverty and HCT outcomes for pediatric allogeneic HCT recipients in the Center for International Blood and Marrow Transplant Research database. We assembled 2 pediatric cohorts undergoing first allogeneic HCT from 2006 to 2015 at age ≤18 years, including 2053 children with malignant disease and 1696 children with nonmalignant disease. Neighborhood poverty exposure was defined a priori per the US Census definition as living in a high-poverty ZIP code (≥20% of persons below 100% federal poverty level) and used as the primary predictor in all analyses. Our primary outcome was overall survival (OS), defined as the time from HCT until death resulting from any cause. Secondary outcomes included relapse and transplantation-related mortality (TRM) in malignant disease, acute and chronic graft-versus-host disease, and infection in the first 100 days post-HCT. Among children undergoing transplantation for nonmalignant disease, neighborhood poverty was not associated with any HCT outcome. Among children undergoing transplantation for malignant disease, neighborhood poverty conferred an increased risk of TRM but was not associated with inferior OS or any other transplantation outcome. Among children with malignant disease, a key secondary finding was that children with Medicaid insurance experienced inferior OS and increased TRM compared with those with private insurance. These data suggest opportunities for future investigation of the effects of household-level poverty exposure on HCT outcomes in pediatric malignant disease to inform care delivery interventions., (© 2021 by The American Society of Hematology.)