Temporal change in multimorbidity prevalence, clustering patterns, and the association with mortality: findings from the China Kadoorie Biobank study in Jiangsu Province.

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.

[The gender paradox in health-impaired lifetime-end of a myth?] / Das Geschlechterparadoxon in der gesundheitlich beeinträchtigten Lebenszeit ­ Ende eines Mythos?

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.

The Impact of Multimorbidity on All-Cause Mortality: A Longitudinal Study of 87,151 Thai Adults.

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.

Patterns of adolescent perceived social support and inflammation in adulthood within major racial groups: Findings from a longitudinal, nationally representative sample.

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.

Teoría del Manejo del Síntoma: análisis para investigación en multimorbilidad en ambientes comunitarios / Symptom Management Theory: Analysis for Multimorbidity Research in Community Settings

Objetivo: Analizar críticamente la teoría de rango medio Symptom Management Theory y evaluar su utilidad en la investigación sobre multimorbilidad en ambientes comunitarios. Metodología: Análisis teórico según estrategia de subestructuración de Dulock, consistente en 4 pasos: identificación de constructos y conceptos; descripción de las relaciones; operacionalización de los conceptos con indicadores empíricos y representación pictórica y jerarquizada del modelo. Resultados: El modelo cuenta con una clara estructura jerárquica, vinculando el sistema teórico y operativo. Esta estructura teórica es coherente, sencilla y tiene un respaldo suficiente para ser aplicada en el estudio de la gestión de síntomas en usuarios portadores de multimorbilidad en ambientes comunitarios. Conclusiones: La teoría de rango medio Manejo del Síntoma es útil para el estudio de la multimorbilidad en contextos comunitarios.(AU)

Objective: To critically analyze the middle-range theory Symptom Management Theory and evaluate their utility in research on multimorbidity in community settings. Methodology: Theoretical analysis using Dulock's substruction strategy, consisting of four steps: identification of constructs and concepts, description of relationships, operationalization of concepts with empirical indicators, and hierarchical pictorial representation of the model. Results: The model's hierarchical structure is clear, effectively linking the theoretical and operational systems. This theoretical structure is coherent, straightforward, and sufficiently supported for its application in the study of symptom management in individuals with multimorbidity in community settings. Conclusions: The middle-range theory of Symptom Management is valuable for investigating multimorbidity in community contexts.(AU)

Aplicação do Protocolo SOS (Score de Obesidade do Servidor) para priorização de pacientes graves em fila de espera da Cirurgia Bariátrica no Hospital do Servidor Público Municipal / Application of the SOS Protocol (Server Obesity Score) to prioritize critically ill patients on the waiting list for Bariatric Surgery at the Hospital do Servidor Público Municipal

A obesidade é uma doença crônica de magnitude global, e o seu controle é um desafio, sendo a cirurgia bariátrica o seu tratamento mais eficaz. Entretanto, a demanda superou a capacidade cirúrgica e filas de espera que ultrapassam cinco anos são visíveis e ocorrem em diversas nações. Durante a espera torna-se evidente a presença de pacientes com comorbidades graves, sujeitos a um agravamento destas e com maior chance de óbito. No Brasil, utiliza-se o critério cronológico para seleção dos pacientes aptos para realização de cirurgia bariátrica, carecendo de protocolos consolidados para avaliar a prioridade entre os pacientes. Objetivo: Aplicar o protocolo do Score de Obesidade do Servidor (SOS) e avaliar sua eficiência para priorização de pacientes na lista de espera para Cirurgia Bariátrica e Metabólica do Hospital do Servidor Público Municipal de São Paulo, mantendo a convocação dos pacientes em ordem cronológica em nossa lista. Materiais e Métodos: Estudo experimental prospectivo com aplicação do protocolo entre julho de 2022 e julho de 2023 nos 475 pacientes aguardando em fila de espera e formação de 3 grupos de preparo para cirurgia bariátrica. Os grupos de preparo foram compostos por cerca de 50% de pacientes da ordem cronológica e 50% de pacientes pontuados como prioridade pelo protocolo. Resultados: Foram convocados 137 pacientes, dos quais 75 foram convocados seguindo a ordem cronológica e 62 pacientes foram priorizados, sendo 35 com prioridade vermelha e 27 com prioridade amarela. Foram chamados todos os pacientes classificados como vermelhos em lista de espera. Conclusão: A aplicação do protocolo SOS para a priorização de pacientes com critérios de gravidade na lista de espera para Cirurgia Bariátrica e Metabólica é uma estratégia eficaz e a combinação dessa abordagem com a convocação em ordem cronológica demonstrou ser uma solução viável para gestão dessa lista de espera. Palavras-chave: Obesidade. Cirurgia bariátrica. Priorização. Listas de espera. Manejo da Obesidade.

Hormone Therapy for the Primary Prevention of Chronic Conditions in Postmenopausal Persons: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force.

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.

Palliative Prognostic Index as a predictor of mortality among geriatric patients with advanced chronic medical conditions.

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.

Association of Patient Characteristics With Postoperative Mortality in Children Undergoing Tonsillectomy in 5 US States.

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.

Estratégias para enfrentamento da mortalidade precoce por doenças crônicas não transmissíveis / Strategies for coping with early mortality from non-communicable chronic diseases

As Doenças Crônicas Não Transmissíveis (DCNTs) tendem a ser de longa duração e são o resultado de uma combinação de fatores genéticos, fisiológicos, ambientais e comportamentais. Tais agravos matam 41 milhões de pessoas a cada ano, o equivalente a 74% de todas as mortes no mundo, principalmente mortes prematuras, além de acarretar a perda de qualidade de vida, limitações e incapacidades, constituindo a maior carga de morbimortalidade. Sendo assim, esta síntese de evidências traz alguns pontos do Plano de Ações Estratégicas para o Enfrentamento das Doenças Não Transmissíveis no Brasil (2011-2022), que tem o intuito de reduzir a carga de DCNTs e evitar mortes prematuras, além de promover o desenvolvimento e a implementação de políticas públicas efetivas, integradas, sustentáveis e baseadas em evidências para a prevenção e o controle das DCNTs e seus fatores de risco e fortalecer os serviços de saúde voltados às doenças crônicas

Chronic Noncommunicable Diseases (NCDs) tend to be of long duration and are the result of a combination of genetic, physiological, environmental and behavioral factors. Such diseases kill 41 million people each year, equivalent to 74% of all deaths in the world, mainly premature deaths, in addition to causing a loss of quality of life, limitations and disabilities, constituting the highest burden of morbidity and mortality. Therefore, this synthesis of evidence presents some points of the Strategic Action Plan for Combating Noncommunicable Diseases in Brazil (2011-2022), which aims to reduce the burden of NCDs and prevent premature deaths, in addition to promoting the development and the implementation of effective, integrated, sustainable and evidence-based public policies for the prevention and control of CNCDs and their risk factors and to strengthen health services aimed at chronic diseases

Links Between Mortality and Socioeconomic Characteristics, Disease Burden, and Biological and Physical Functioning in the Aging Chinese Population.

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.

Soluble Urokinase Plasminogen Activator Receptor (suPAR) as a Biomarker of Systemic Chronic Inflammation.

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.

Association of Chronic Lower Respiratory Disease With County Health Disparities in New York State.

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 (ß = 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 (ß = 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.

Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study.

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.

Institutional mortality rate and cause of death at health facilities in Ghana between 2014 and 2018.

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.

Types of myocardial injury and mid-term outcomes in patients with COVID-19.

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.

Impact of Mediterranean Diet on Chronic Non-Communicable Diseases and Longevity.

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.

Factors associated with mortality in patients with COVID-19 admitted to intensive care: a systematic review and meta-analysis.

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 PaO2 :FI O2 (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.