RESUMEN
BACKGROUND: There is a growing burden of non-obese people with diabetes mellitus (DM). However, their cardiovascular risk (CV), especially in the presence of cardiovascular-kidney-metabolic (CKM) comorbidities is poorly characterised. The aim of this study was to analyse the risk of major CV adverse events in people with DM according to the presence of obesity and comorbidities (hypertension, chronic kidney disease, and dyslipidaemia). METHODS: We analysed persons who were enrolled in the prospective Silesia Diabetes Heart Project (NCT05626413). Individuals were divided into 6 categories according to the presence of different clinical risk factors (obesity and CKM comorbidities): (i) Group 1: non-obese with 0 CKM comorbidities; (ii) Group 2: non-obese with 1-2 CKM comorbidities; (iii) Group 3: non-obese with 3 CKM comorbidities (non-obese "extremely unhealthy"); (iv) Group 4: obese with 0 CKM comorbidities; (v) Group 5: obese with 1-2 CKM comorbidities; and (vi) Group 6: obese with 3 CKM comorbidities (obese "extremely unhealthy"). The primary outcome was a composite of CV death, myocardial infarction (MI), new onset of heart failure (HF), and ischemic stroke. RESULTS: 2105 people with DM were included [median age 60 (IQR 45-70), 48.8% females]. Both Group 1 and Group 6 were associated with a higher risk of events of the primary composite outcome (aHR 4.50, 95% CI 1.20-16.88; and aHR 3.78, 95% CI 1.06-13.47, respectively). On interaction analysis, in "extremely unhealthy" persons the impact of CKM comorbidities in determining the risk of adverse events was consistent in obese and non-obese ones (Pint=0.824), but more pronounced in individuals aged < 65 years compared to older adults (Pint= 0.028). CONCLUSION: Both non-obese and obese people with DM and 3 associated CKM comorbidities represent an "extremely unhealthy" phenotype which are at the highest risk of CV adverse events. These results highlight the importance of risk stratification of people with DM for risk factor management utilising an interdisciplinary approach.
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Enfermedades Cardiovasculares , Comorbilidad , Diabetes Mellitus , Obesidad , Humanos , Femenino , Masculino , Persona de Mediana Edad , Anciano , Obesidad/epidemiología , Obesidad/diagnóstico , Obesidad/mortalidad , Medición de Riesgo , Estudios Prospectivos , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/mortalidad , Diabetes Mellitus/epidemiología , Diabetes Mellitus/diagnóstico , Factores de Tiempo , Insuficiencia Renal Crónica/diagnóstico , Insuficiencia Renal Crónica/epidemiología , Insuficiencia Renal Crónica/mortalidad , Dislipidemias/epidemiología , Dislipidemias/diagnóstico , Dislipidemias/sangre , Hipertensión/epidemiología , Hipertensión/diagnóstico , Hipertensión/mortalidad , Italia/epidemiología , Pronóstico , Factores de Riesgo , Factores de Riesgo de Enfermedad CardiacaRESUMEN
BACKGROUND: Adiposity shows opposing associations with mortality within COVID-19 versus non-COVID-19 respiratory conditions. We assessed the likely causality of adiposity for mortality among intensive care patients with COVID-19 versus non-COVID-19 by examining the consistency of associations across temporal and geographical contexts where biases vary. METHODS: We used data from 297 intensive care units (ICUs) in England, Wales, and Northern Ireland (Intensive Care National Audit and Research Centre Case Mix Programme). We examined associations of body mass index (BMI) with 30-day mortality, overall and by date and region of ICU admission, among patients admitted with COVID-19 (N = 34,701; February 2020-August 2021) and non-COVID-19 respiratory conditions (N = 25,205; February 2018-August 2019). RESULTS: Compared with non-COVID-19 patients, COVID-19 patients were younger, less often of a white ethnic group, and more often with extreme obesity. COVID-19 patients had fewer comorbidities but higher mortality. Socio-demographic and comorbidity factors and their associations with BMI and mortality varied more by date than region of ICU admission. Among COVID-19 patients, higher BMI was associated with excess mortality (hazard ratio (HR) per standard deviation (SD) = 1.05; 95% CI = 1.03-1.07). This was evident only for extreme obesity and only during February-April 2020 (HR = 1.52, 95% CI = 1.30-1.77 vs. recommended weight); this weakened thereafter. Among non-COVID-19 patients, higher BMI was associated with lower mortality (HR per SD = 0.83; 95% CI = 0.81-0.86), seen across all overweight/obesity groups and across dates and regions, albeit with a magnitude that varied over time. CONCLUSIONS: Obesity is associated with higher mortality among COVID-19 patients, but lower mortality among non-COVID-19 respiratory patients. These associations appear vulnerable to confounding/selection bias in both patient groups, questioning the existence or stability of causal effects.
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Adiposidad , Índice de Masa Corporal , COVID-19 , Unidades de Cuidados Intensivos , Humanos , COVID-19/mortalidad , COVID-19/epidemiología , Masculino , Femenino , Persona de Mediana Edad , Anciano , Reino Unido/epidemiología , Unidades de Cuidados Intensivos/estadística & datos numéricos , Obesidad/mortalidad , Obesidad/complicaciones , Obesidad/epidemiología , SARS-CoV-2 , Adulto , Comorbilidad , Cuidados Críticos , Anciano de 80 o más Años , Mortalidad HospitalariaRESUMEN
OBJECTIVES: Flavonoids exhibit antioxidative, anti-inflammatory, and anticancer properties, yet the relationship between flavonoid intake and all-cause mortality in the obese population remains unclear. METHODS: This study included NHANES participants from 2007 to 2010 and 2017 to 2018. Cox regression analysis evaluated the impact of total flavonoid intake on all-cause mortality among participants with varying comorbidity profiles. Subgroup analysis was conducted by separately analyzing the six sub-classes of total flavonoids (anthocyanidins, flavan-3-ols, flavanones, flavones, flavonols, and isoflavones). Sensitivity analysis was used to investigate the impact of total flavonoid intake on all-cause mortality among patients with different comorbidities. RESULTS: During a median follow-up period of 9.92 years (interquartile range (IQR), 5.54-14.29 years), a total of 639 participants died. COX regression analysis revealed a positive impact of flavonoid intake on all-cause mortality among participants with chronic kidney disease, with greater benefits observed in obese participants [hazard ratio (HR): 0.22, 95% CI: 0.11-0.44). In metabolically healthy obese participants (HR: 0.15, 95% CI: 0.07-0.35), obese individuals with diabetes (HR: 0.51, 95% CI: 0.29-0.88), and obese individuals with comorbid cardiovascular disease (HR: 0.37, 95% CI: 0.17-0.83), flavonoid intake was associated with a reduced risk of all-cause mortality. Restricted cubic spline (RCS) analysis indicated a non-linear relationship in obese participants, with optimal intake levels ranging from 319.4978 to 448.6907 mg/day, varying based on different comorbidity profiles. Subgroup analysis revealed varying effects of total flavonoid components in different health conditions, with hazard ratios ranging from 0.06 for higher levels of flavonol to 0.59 for higher levels of anthocyanidins in the Cox model. Sensitivity analyses further indicated that individuals with obesity and comorbid diabetes or CKD see the greatest benefit from flavonoid intake. CONCLUSIONS: The consumption of flavonoids may be associated with a decreased risk of all-cause mortality. Consumption of flavonoids is particularly beneficial for individuals with obesity and comorbidities.
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Flavonoides , Encuestas Nutricionales , Obesidad , Humanos , Masculino , Flavonoides/administración & dosificación , Flavonoides/farmacología , Femenino , Persona de Mediana Edad , Obesidad/mortalidad , Obesidad/epidemiología , Adulto , Anciano , Mortalidad , Comorbilidad , Estados Unidos/epidemiología , Modelos de Riesgos Proporcionales , Causas de Muerte , Insuficiencia Renal Crónica/mortalidad , Dieta/métodos , Dieta/estadística & datos numéricosRESUMEN
Metabolic syndrome (MetS) is prevalent and significantly impacts global public health, with obesity being a major risk factor for cardiovascular diseases (CVD) and mortality. Traditional metrics like body mass index (BMI) have limitations in assessing obesity-related risks. The weight-adjusted waist circumference index (WWI) has emerged as a novel obesity metric, this study aimed to evaluate the association of WWI with CVD and mortality in MetS patients. This study used data from 12,641 participants with MetS, derived from the National Health and Nutrition Examination Survey (NHANES) conducted from 1999 to 2020. The WWI was calculated, and its association with CVD and mortality was assessed using multivariate logistic and Cox regression models. The study controlled for potential confounders and performed subgroup and sensitivity analyses to validate the robustness of the findings. The predictive performance of WWI was evaluated using the area under the receiver operating characteristic curve (ROC). Kaplan-Meier (KM) curves further were used to evaluate the associations between WWI and mortality of the MetS population. As WWI values escalated, there was a proportional rise in the risk of CVD and mortality in MetS. The fully adjusted continuous model revealed a 32.0% elevated likelihood of CVD development, a 69.5% increased probability of heart failure (HF), a 51.1% heightened risk for CVD mortality, and a 22.8% augmented risk for all-cause mortality with each one-unit increment in WWI. Comparing the highest to the lowest quartile of WWI, the top quartile exhibited a significantly increased risk of CVD (odds ratio [OR] = 1.883; 95% confidence interval [CI]: 1.276-2.633, p-value = 0.001), HF (OR = 2.909; 95% CI: 1.490-5.677, p-value = 0.002), CVD mortality (hazard ratio [HR] = 2.088; 95% CI: 1.279-3.409, p-value = 0.003), and all-cause mortality (HR = 1.394; 95% CI: 1.070-1.816, p-value = 0.014) among individuals with MetS. Sensitivity and subgroup analyses substantiated the consistency and stability of these associations across various demographic groups. The ROC analysis demonstrated that WWI outperforms BMI in predicting adverse outcomes in MetS. The KM curves validated that higher WWI values was correlated with diminished survival rates in MetS population. The WWI served as a significant indicator for assessing the risk of CVD and mortality in the MetS population. This study recommended the regular assessment of WWI in MetS individuals for evaluating their risk of CVD and mortality, potentially enhancing preventive and treatment strategies for this patient population.
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Enfermedades Cardiovasculares , Síndrome Metabólico , Encuestas Nutricionales , Circunferencia de la Cintura , Humanos , Síndrome Metabólico/mortalidad , Síndrome Metabólico/complicaciones , Masculino , Femenino , Enfermedades Cardiovasculares/mortalidad , Persona de Mediana Edad , Adulto , Índice de Masa Corporal , Factores de Riesgo , Anciano , Curva ROC , Obesidad/complicaciones , Obesidad/mortalidad , Peso Corporal , Modelos de Riesgos ProporcionalesRESUMEN
BACKGROUND AND AIM: Identifying a more suitable marker among various measures of adiposity, demonstrating strong associations and predictive ability for clinical use, remains a topic of debate. Weight-adjusted waist index (WWI) has been proposed as a novel index of adiposity, yet its exploration is limited, especially in Chinese populations. This study seeks to examine the associations between body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHTR), weight-adjusted waist index (WWI), waist circumference divided by body mass to the power of 0.333 (WC/M0.333), visceral adiposity index (VAI), lipid accumulation product (LAP), and the incidence of diabetes, cardiovascular disease, and non-accidental mortality in Chinese populations. Furthermore, our goal is to compare the respective predictive values of these measures for these health outcomes. METHODS AND RESULTS: This prospective cohort study included 21,750 subjects with a 9-year follow-up period. Cox proportional hazard models were used to investigate the relationship between eight anthropometric indexes and the incidence of diabetes, cardiovascular disease, and non-accidental mortality. The predictive value of these eight indexes was compared using the area under the curve metric. Significant positive associations were found between WWI and the risk of diabetes. Using the first quartile (Q1) of WWI as the reference group, hazard ratios with 95% confidence intervals for the risk of diabetes were 1.58 (0.98-2.55) for Q2, 2.18 (1.34-3.35) for Q3, and 2.27 (1.41-3.67) for Q4. Significant associations were observed with the highest quartile of WWI for the risk of cardiovascular disease [Q2: HR 1.45 (95% CI 1.06-1.98); Q3: 1.33 (0.97-1.83); Q4: 1.55 (1.13-2.14)] and risk of non-accidental mortality [Q2: 0.94 (0.80-1.11); Q3: 1.24 (1.04-1.48); Q4: 1.44 (1.16-1.79)]. Receiver operating characteristic analysis revealed that WWI exhibited superior discrimination and accuracy in predicting cardiovascular disease and non-accidental mortality compared to other adiposity indexes (BMI, WC, WHR, WHTR, WC/M0.333, VAI, and LAP). CONCLUSION: WWI exhibited the most robust and consistent association with the incidence of cardiovascular disease and non-accidental mortality. Given its simplicity and widespread use, WWI emerges as a novel and practical predictor of diabetes, cardiovascular disease, and non-accidental mortality among the eight adiposity indexes investigated in this study.
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Adiposidad , Enfermedades Cardiovasculares , Diabetes Mellitus , Valor Predictivo de las Pruebas , Circunferencia de la Cintura , Humanos , Masculino , Femenino , Persona de Mediana Edad , Enfermedades Cardiovasculares/mortalidad , Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/epidemiología , Medición de Riesgo , Incidencia , Estudios Prospectivos , China/epidemiología , Adulto , Diabetes Mellitus/mortalidad , Diabetes Mellitus/diagnóstico , Diabetes Mellitus/epidemiología , Factores de Tiempo , Pronóstico , Índice de Masa Corporal , Relación Cintura-Estatura , Factores de Riesgo , Anciano , Obesidad/mortalidad , Obesidad/diagnóstico , Obesidad/epidemiología , Producto de la Acumulación de Lípidos , Relación Cintura-Cadera , Factores de Riesgo de Enfermedad CardiacaRESUMEN
Over the past decades, China has been undergoing rapid economic growth, which may have significantly influenced the dietary patterns and health status of the Chinese population. Our study aimed to assess the associations of potential macronutrient trajectory patterns with chronic diseases and all-cause mortality using the latent class trajectory model (LCTM) and the longitudinal data of the China Health and Nutrition Survey obtained between 1991 and 2015. A 24-hour diet recall was used to assess the dietary intake. The Poisson regression model was employed to investigate the correlations between trajectory patterns and chronic diseases and all-cause mortality. A total of 8115 participants were included in the final analysis. We explored four and three trajectory patterns for male and female populations, respectively. We found that a decreasing very high-carbohydrate trajectory together with a U-shape protein trajectory was associated with a higher risk of diabetes in the male population (odds ratio (OR): 2.23; 95% confidence interval (CI): 1.31-3.77). A similar pattern for moderate protein intake was also associated with the risk of diabetes in the female population (OR: 1.82; 95% CI: 1.18-2.79). In addition, we show that a decreasing low-carbohydrate trajectory and an increasing high-fat trajectory were associated with a lower risk of all-cause mortality (OR: 0.76; 95% CI: 0.60-0.96) and a higher risk of obesity (OR: 1.24; 95% CI: 1.05-1.47) in males. Our results shed light on some salient nutritional problems in China, particularly the dual challenges of undernutrition and overnutrition.
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Diabetes Mellitus , Nutrientes , Obesidad , Humanos , Masculino , Femenino , Estudios Longitudinales , Obesidad/mortalidad , Obesidad/epidemiología , Persona de Mediana Edad , China/epidemiología , Adulto , Diabetes Mellitus/mortalidad , Diabetes Mellitus/epidemiología , Encuestas Nutricionales , Dieta/estadística & datos numéricos , Carbohidratos de la Dieta/administración & dosificación , Factores de Riesgo , Anciano , Proteínas en la Dieta/administración & dosificación , Conducta AlimentariaRESUMEN
Objectives: To investigate whether normal body mass index (BMI) shortly after percutaneous coronary intervention (PCI) for myocardial infarction is associated with increased risk of long-term major cardiovascular events (MACE), and to explore potential clinical determinants of long-term weight loss (WL) after PCI. Methods: Single-center cohort study with 5-year follow-up of patients treated with PCI for myocardial infarction between 2016 and 2018. Categorical WL was defined as > 0 kg body weight reduction from baseline to end of follow-up. Results: Of 236 patients (24% women), mean age was 64.9 ± 10.2 years and mean BMI within 4 days after PCI was 27.1 ± 4.3 kg/m2. Seventy-five patients (32%) had at least one MACE, equally distributed between those with normal weight (31%), overweight (32%), and obesity (31%). Patients with overweight or obesity had a lower crude mortality rate than their normal weight counterparts (7.4% vs 16.4%, p = 0.049), but the relative hazard of death did not differ from those with normal weight, HR 0.50, 95% CI 0.22-1.15. Patients with either a long-term WL (n = 112) or no WL (n = 95) had a comparable incidence of non-fatal MACE (27% vs 22%, p = 0.518). The proportion of patients reporting unintentional weight loss was significantly higher in the normal weight group (82%) compared with those with overweight (41%) or obesity (28%), p < 0.001. Conclusion: Our results did not confirm any association between normal BMI after PCI and long-term MACE. However, patients with normal BMI at baseline had a higher incidence of unintentional WL than those with elevated BMI. Trial registration: Current research information system in Norway (CRISTIN): ID 542528.
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Índice de Masa Corporal , Intervención Coronaria Percutánea , Pérdida de Peso , Humanos , Femenino , Masculino , Persona de Mediana Edad , Intervención Coronaria Percutánea/efectos adversos , Intervención Coronaria Percutánea/mortalidad , Anciano , Factores de Tiempo , Factores de Riesgo , Resultado del Tratamiento , Medición de Riesgo , Obesidad/diagnóstico , Obesidad/mortalidad , Obesidad/complicaciones , Infarto del Miocardio/mortalidad , Estudios RetrospectivosRESUMEN
The risk that COVID-19 poses for mortality risk in individuals with schizophrenia in low- and middle-income countries has only been the subject of a few studies. In this retrospective study, we examined the standardized mortality ratio (SMR), by age group and sex, in a cohort of patients diagnosed with schizophrenia (n = 20,417), with second-generation antipsychotics, in a South Brazilian State database (Paraná-Brazil). We performed a linkage with the Brazilian Mortality Information System database between 2020 and 2021. We also assessed in a logistic regression how clozapine could affect COVID-19 mortality controlling by sex, age, and presence of obesity. A secondary analysis was to compare mortality with SMR due to COVID-19 in individuals with and without obesity. Compared to the State population (8,850,682 individuals), those with schizophrenia had more than two times greater risk of dying from COVID-19 (SMR = 2.21, 95 % CI: 1.90-2.55). Between the ages of 16 and 29, their risk is more than ten times higher than the state population (SMR = 10.18, 95 % CI: 4.73-19.33). Obesity showed an almost twofold risk of dying from COVID-19 in the patient's group (OR = 1.89, 95 % CI: 1.39-2.57). Clozapine was not found as a protector or a risk factor for COVID-19 mortality. In Brazil, a middle-income nation, people with schizophrenia are more likely to die prematurely from COVID-19. The burden of schizophrenia is higher in younger and in patients with obesity.
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Antipsicóticos , COVID-19 , Obesidad , Esquizofrenia , Humanos , Esquizofrenia/mortalidad , Esquizofrenia/tratamiento farmacológico , Esquizofrenia/epidemiología , COVID-19/mortalidad , COVID-19/complicaciones , Brasil/epidemiología , Masculino , Femenino , Adulto , Estudios Retrospectivos , Persona de Mediana Edad , Adulto Joven , Adolescente , Antipsicóticos/uso terapéutico , Antipsicóticos/efectos adversos , Obesidad/epidemiología , Obesidad/mortalidad , Clozapina/uso terapéutico , Anciano , Factores de RiesgoRESUMEN
BACKGROUND: Several studies suggest an "obesity paradox," associating obesity with better cardiovascular outcomes in patients with type 2 diabetes mellitus (DM) or aortic stenosis (AS) compared to normal or underweight individuals. This study explores the impact of body mass index (BMI) on diabetic patients with AS. METHODS: Between 2014 and 2019, patients with DM who underwent echocardiography were analyzed. Outcomes included all-cause mortality, cardiovascular, and non-cardiovascular death. Patients were categorized as underweight, normal weight, or obese based on BMI (<18.5, 18.5 to 27, and >27 kg/m2, respectively). RESULTS: Among 74,835 DM patients, 734 had AS. Normal weight comprised 65.5% (n=481), underweight 4.1% (N=30), and 30.4% were obese. Over a 6-year follow-up, underweight patients had significantly higher all-cause mortality (HR 1.96, 95% CI 1.22 - 3.14, p = 0.005), while obese patients had significantly lower mortality (HR 0.79, 95% CI 0.68 - 0.91, p=0.001) compared to the normal group. Regarding etiologies, underweight patients had a higher risk of non-cardiovascular death (HR 2.47, 95% CI 1.44-4.25, p = 0.001), while obese patients had a lower risk of cardiovascular death (HR 0.66, 95% CI 0.50-0.86, p=0.003). Subgroup analysis showed a consistent trend without significant interaction. CONCLUSIONS: BMI significantly impacts mortality in DM patients with AS. Being underweight is associated with worse non-cardiovascular death, while obesity is linked to improved cardiovascular death outcomes.
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Estenosis de la Válvula Aórtica , Índice de Masa Corporal , Diabetes Mellitus Tipo 2 , Obesidad , Humanos , Masculino , Femenino , Diabetes Mellitus Tipo 2/complicaciones , Diabetes Mellitus Tipo 2/mortalidad , Anciano , Estenosis de la Válvula Aórtica/mortalidad , Estenosis de la Válvula Aórtica/complicaciones , Obesidad/complicaciones , Obesidad/mortalidad , Persona de Mediana Edad , Anciano de 80 o más Años , Factores de Riesgo , Ecocardiografía , Delgadez/complicaciones , Delgadez/mortalidadRESUMEN
BACKGROUND: Associations between metabolic status and metabolic changes with the risk of cardiovascular outcomes have been reported. However, the role of genetic susceptibility underlying these associations remains unexplored. We aimed to examine how metabolic status, metabolic transitions, and genetic susceptibility collectively impact cardiovascular outcomes and all-cause mortality across diverse body mass index (BMI) categories. METHODS: In our analysis of the UK Biobank, we included a total of 481,576 participants (mean age: 56.55; male: 45.9%) at baseline. Metabolically healthy (MH) status was defined by the presence of < 3 abnormal components (waist circumstance, blood pressure, blood glucose, triglycerides, and high-density lipoprotein cholesterol). Normal weight, overweight, and obesity were defined as 18.5 ≤ BMI < 25 kg/m2, 25 ≤ BMI < 30 kg/m2, and BMI ≥ 30 kg/m2, respectively. Genetic predisposition was estimated using the polygenic risk score (PRS). Cox regressions were performed to evaluate the associations of metabolic status, metabolic transitions, and PRS with cardiovascular outcomes and all-cause mortality across BMI categories. RESULTS: During a median follow-up of 14.38 years, 31,883 (7.3%) all-cause deaths, 8133 (1.8%) cardiovascular disease (CVD) deaths, and 67,260 (14.8%) CVD cases were documented. Among those with a high PRS, individuals classified as metabolically healthy overweight had the lowest risk of all-cause mortality (hazard ratios [HR] 0.70; 95% confidence interval [CI] 0.65, 0.76) and CVD mortality (HR 0.57; 95% CI 0.50, 0.64) compared to those who were metabolically unhealthy obesity, with the beneficial associations appearing to be greater in the moderate and low PRS groups. Individuals who were metabolically healthy normal weight had the lowest risk of CVD morbidity (HR 0.54; 95% CI 0.51, 0.57). Furthermore, the inverse associations of metabolic status and PRS with cardiovascular outcomes and all-cause mortality across BMI categories were more pronounced among individuals younger than 65 years (Pinteraction < 0.05). Additionally, the combined protective effects of metabolic transitions and PRS on these outcomes among BMI categories were observed. CONCLUSIONS: MH status and a low PRS are associated with a lower risk of adverse cardiovascular outcomes and all-cause mortality across all BMI categories. This protective effect is particularly pronounced in individuals younger than 65 years. Further research is required to confirm these findings in diverse populations and to investigate the underlying mechanisms involved.
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Índice de Masa Corporal , Enfermedades Cardiovasculares , Puntuación de Riesgo Genético , Obesidad , Adulto , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Factores de Riesgo Cardiometabólico , Enfermedades Cardiovasculares/genética , Enfermedades Cardiovasculares/mortalidad , Obesidad/genética , Obesidad/mortalidad , Obesidad Metabólica Benigna/genética , Obesidad Metabólica Benigna/mortalidad , Fenotipo , Pronóstico , Estudios Prospectivos , Medición de Riesgo , Factores de Riesgo , Reino Unido/epidemiología , Mortalidad , Biobanco del Reino UnidoRESUMEN
BACKGROUND: This study investigates the obesity paradox, where obesity is linked to lower mortality in certain patient groups, focusing on its impact on long-term mortality in chronic critically ill (CCI) patients. METHODS: We retrospectively analyzed CCI patients from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database's Intensive Care Unit, categorizing them into six groups based on Body Mass Index (BMI). Using stepwise multivariable Cox regression and restricted cubic spline models, we examined the association between BMI and 90 day mortality, accounting for confounding variables through subgroup analyses. RESULTS: The study included 1996 CCI patients, revealing a 90 day mortality of 34.12%. Overweight and obese patients exhibited significantly lower mortality compared to normal-weight individuals. Adjusted analysis showed lower mortality risks in overweight and obese groups (HRs 0.60 to 0.72, p < 0.001). The cubic spline model indicated a negative correlation between BMI and 90 day mortality, with subgroup analyses highlighting interactions with age. CONCLUSION: Our findings confirm the obesity paradox in CCI patients, especially among the elderly (65-85 years) and very elderly (≥ 85 years). The results suggest a beneficial association of higher BMI in older CCI patients, though caution is advised for those under 45.
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Enfermedad Crítica , Paradoja de la Obesidad , Adulto , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Masculino , Persona de Mediana Edad , Índice de Masa Corporal , Enfermedad Crónica , Enfermedad Crítica/mortalidad , Bases de Datos Factuales , Unidades de Cuidados Intensivos/estadística & datos numéricos , Obesidad/mortalidad , Obesidad/complicaciones , Estudios RetrospectivosRESUMEN
INTRODUCTION: Rising obesity rates and the increasing prevalence of stroke in the metabolically healthy obese and overweight (MHOO) necessitate examining its association in younger (18-44 year) populations and analyzing acute ischemic stroke (AIS) trends and outcomes in MHOO vs. metabolically healthy non-obese or overweight (MHnOO). METHODS: Data from the United States National Inpatient Sample (2016-2019) was analyzed to identify young MHOO and MHnOO AIS patients using ICD-10-CM codes. Metabolically healthy status was defined by excluding hospitalization records with diagnostic codes for hypertension, diabetes, and dyslipidemia. Demographics, trends, and outcomes were compared using appropriate statistical approaches. RESULTS: Of 26,949,310 young metabolically healthy hospitalizations between 2016 and 2019, 47,795 had AIS, of which 4,985 were MHOO and 42,810 were MHnOO. The median age of AIS hospitalization was 35 years, and primarily female and white. From 2016 to 2019, AIS incidence rose slightly, which was significant only for the MHnOO cohort. The in-hospital mortality rate was significantly lower in the MHOO cohort (6.0 % vs. 8.6 %, p < 0.001). Hospitalization length and cost did not differ substantially between groups. Adjusted multivariable analysis revealed no significant difference in AIS hospitalization risk between MHOO and MHnOO (aOR: 1.02, p=0.701), with subgroup analysis in males (aOR: 0.88, p=0.161) or females (aOR: 1.06, p=0.363). However, all-cause in-hospital mortality (ACIHM) in AIS had lower odds in the MHOO vs. MHnOO cohorts (aOR: 0.60, p=0.021). CONCLUSION: Our study finds a rising trend of AIS hospitalizations in young metabolically healthy adults, with obesity or overweight status not being associated with AIS hospitalization. We identify an "obesity paradox" of lower odds for ACIHM for AIS hospitalizations in the MHOO cohort.
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Bases de Datos Factuales , Mortalidad Hospitalaria , Hospitalización , Accidente Cerebrovascular Isquémico , Humanos , Masculino , Femenino , Accidente Cerebrovascular Isquémico/mortalidad , Accidente Cerebrovascular Isquémico/epidemiología , Accidente Cerebrovascular Isquémico/diagnóstico , Accidente Cerebrovascular Isquémico/terapia , Adulto , Adulto Joven , Estados Unidos/epidemiología , Adolescente , Factores de Riesgo , Medición de Riesgo , Factores de Tiempo , Factores de Edad , Obesidad Metabólica Benigna/epidemiología , Obesidad Metabólica Benigna/diagnóstico , Obesidad Metabólica Benigna/mortalidad , Persona de Mediana Edad , Incidencia , Prevalencia , Sobrepeso/epidemiología , Estudios Retrospectivos , Costos de Hospital , Pronóstico , Obesidad/epidemiología , Obesidad/diagnóstico , Obesidad/mortalidad , Estado de SaludRESUMEN
PURPOSE: We investigated time trends of the obesity-mortality association, accounting for age, sex, and cause-specific deaths. METHODS: We analysed pooled nationwide data in Sweden for 3,472,310 individuals aged 17-39 years at baseline in 1963-2016. Cox regression and flexible parametric survival models investigated BMI-mortality associations in sub-groups of sex and baseline calendar years (men: <1975, 1975-1985, ≥1985 and women: <1985, 1985-1994, ≥1995). RESULTS: Comparing men with obesity vs. normal weight, all-cause and "other-cause" mortality associations decreased over periods; HR (95% CI) 1.92 (1.83-2.01) and 1.70 (1.58-1.82) for all-cause and 1.72 (1.58-1.87) and 1.40 (1.28-1.53) for "other-cause" mortality in <1975 and ≥1985, but increased for CVD mortality; HR 2.71 (2.51-2.94) and 3.91 (3.37-4.53). Higher age at death before 1975 coincided with more obesity-related deaths at higher ages. Furthermore, the all-cause mortality association for different ages in men showed no clear differences between periods (p-interaction=0.09), suggesting no calendar effect after accounting for attained age. Similar, but less pronounced, results were observed in women. Associations with cancer mortality showed no clear trends in men or in women. CONCLUSIONS: Accounting for differences in age and death causes between calendar periods when investigating BMI-mortality time trends may avoid misinterpreting the risks associated with obesity over time.
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Índice de Masa Corporal , Causas de Muerte , Mortalidad , Obesidad , Humanos , Suecia/epidemiología , Masculino , Femenino , Adulto , Obesidad/mortalidad , Obesidad/epidemiología , Adulto Joven , Causas de Muerte/tendencias , Adolescente , Mortalidad/tendencias , Factores de Riesgo , Enfermedades Cardiovasculares/mortalidad , Distribución por SexoRESUMEN
INTRODUCTION: Obesity, as indicated by elevated Body Mass Index (BMI), is a well-established global health concern associated with increased morbidity and mortality across diverse populations. However, the influence of BMI on individuals in Agriculture, Forestry, and Fishing (AFF) occupations, characterized by unique challenges and environmental factors, has received limited research attention. METHODS: Our study, a prospective cohort analysis, utilized National Health and Nutrition Examination Survey (NHANES) data from 1999-2014, targeting adults above 18 in AFF occupations with comprehensive BMI data, omitting individuals with a history of cancer. Mortality outcomes were extracted from the NHANES mortality file, and BMI was segmented into eight categories. Essential covariates such as age, sex, race, and various health factors were incorporated. The statistical analysis encompassed Cox regression, generalized additive models, smooth curve fitting, and stratified analyses. RESULTS: During 1,005 person-years with 201 all-cause and 57 CVD deaths, we observed L-shaped and U-shaped correlations of BMI with all-cause and CVD mortality, featuring a pivotal inflection at 26.69 and 27.40 kg/m2. Above this BMI threshold of 26.69 and 27.4 kg/m2, all-cause mortality association was not significant while CVD mortality was positive. CONCLUSIONS: This study highlights a unique BMI-mortality association in AFF occupations, diverging from standard patterns. The rigorous labor and environmental conditions in AFF jobs suggest that a certain range of higher BMI could reduce mortality risk. This highlights the necessity for tailored health guidelines in different occupations. Future research should concentrate on diverse health indicators and enhanced risk assessment for physically strenuous occupations.
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Agricultura , Índice de Masa Corporal , Enfermedades Cardiovasculares , Explotaciones Pesqueras , Agricultura Forestal , Humanos , Masculino , Femenino , Persona de Mediana Edad , Adulto , Estudios Prospectivos , Enfermedades Cardiovasculares/mortalidad , Encuestas Nutricionales , Anciano , Ocupaciones/estadística & datos numéricos , Obesidad/mortalidad , Obesidad/epidemiología , Adulto Joven , Factores de Riesgo , Causas de MuerteRESUMEN
OBJECTIVE: To identify the influence of obesity on mortality, time to weaning from mechanical ventilation and mobility at intensive care unit discharge in patients with COVID-19. METHODS: This retrospective cohort study was carried out between March and August 2020. All adult patients admitted to the intensive care unit in need of ventilatory support and confirmed to have COVID-19 were included. The outcomes included mortality, time on mechanical ventilation, and mobility at intensive care unit discharge. RESULTS: Four hundred and twenty-nine patients were included, 36.6% of whom were overweight and 43.8% of whom were obese. Compared with normal body mass index patients, overweight and obese patients had lower mortality (p = 0.002) and longer intensive care unit survival (log-rank p < 0.001). Compared with patients with a normal body mass index, overweight patients had a 36% lower risk of death (p = 0.04), while patients with obesity presented a 23% lower risk (p < 0.001). There was no association between obesity and time on mechanical ventilation. The level of mobility at intensive care unit discharge did not differ between groups and showed a moderate inverse correlation with length of stay in the intensive care unit (r = -0.461; p < 0.001). CONCLUSION: Overweight and obese patients had lower mortality and higher intensive care unit survival rates. The duration of mechanical ventilation and mobility level at intensive care unit discharge did not differ between the groups.
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COVID-19 , Unidades de Cuidados Intensivos , Obesidad , Respiración Artificial , Humanos , COVID-19/mortalidad , COVID-19/terapia , Obesidad/mortalidad , Obesidad/complicaciones , Masculino , Estudios Retrospectivos , Femenino , Persona de Mediana Edad , Anciano , Índice de Masa Corporal , Tiempo de Internación/estadística & datos numéricos , Factores de Tiempo , Desconexión del Ventilador , Enfermedad Crítica/mortalidad , SARS-CoV-2RESUMEN
BACKGROUND: Sepsis is a significant contributor to both intensive care unit (ICU) admissions and mortality among patients in ICU, with a rising prevalence of obesity. There is a lack of extensive research on the correlation between TyGI and findings in patients with sepsis, especially in obese patients. METHODS: This study used a retrospective cohort design and included patients with sepsis (≥18 years) from the Medical Information Mart for Intensive Care IV database. The association between TyGI and outcome was examined using multivariable logistic regression analysis. RESULTS: 8,840 patients with sepsis were included in the analysis. The in-ICU mortality rate was 9.7%. Non-survivors exhibited significantly greater TyGI levels than survivors [9.19(8.76-9.71) vs. 9.10(8.67-9.54), p < 0.001]. The adjusted multivariate regression model showed that elevated TyGI values were linked to a greater likelihood of death in ICU (odds ratio [OR] range 1.072-1.793, p < 0.001) and hospital (OR range 1.068-1.445, p = 0.005). Restricted Cubic Spline analysis revealed a nonlinear association between TyGI and in-ICU and in-hospital mortality risks within specified ranges. Subgroup analysis revealed interaction effects in the general obesity, abdominal obesity, and impaired fasting glucose subgroups (p = 0.014, 0.016, and < 0.001, respectively). CONCLUSION: TyGI was associated with an increased sepsis-related short-term mortality risk and adverse outcomes after ICU admission.
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Glucemia , Mortalidad Hospitalaria , Unidades de Cuidados Intensivos , Obesidad , Sepsis , Triglicéridos , Humanos , Sepsis/mortalidad , Sepsis/metabolismo , Estudios Retrospectivos , Masculino , Femenino , Persona de Mediana Edad , Obesidad/mortalidad , Obesidad/metabolismo , Obesidad/complicaciones , Anciano , Triglicéridos/sangre , Triglicéridos/metabolismo , Glucemia/análisis , Glucemia/metabolismo , AdultoRESUMEN
AIM: Our study aims to provide an updated estimate of age- and sex-specific deaths and disability-adjusted life years (DALYs) associated with high body mass index (BMI) from 1990 to 2019 at the global, regional and national levels, and to forecast the global burden of disease attributed to high BMI from 2020 to 2035. METHODS: We used the data for the number of deaths, DALYs, age-standardized rate (per 100 000 population), percentage change and population attributable fraction from the Global Burden of Disease Study 2019 (GBD 2019) to examine the disease burden attributable to high BMI. We further applied an autoregressive integrated moving average (ARIMA) model to predict the disease burden for the period 2020-2035. RESULTS: From 1990 to 2019, the deaths and DALYs attributable to high BMI increased by 148% and 155.86% for men, and by 111.67% and 121.78% for women, respectively. In 2019, high BMI directly accounted for 8.52% [95% uncertainty intervals (UI) 0.05, 0.12] of all-cause deaths and 5.89% (95% UI 0.04, 0.08) of global DALYs. The highest death rates were observed in men aged 65-69 and women aged 75-79. The highest DALY rates were observed in the age group of 60-64 for both sexes. In 2019, the highest age-standardized deaths and DALY rates were observed in the Central Asia region [163.15 (95% UI 107.72, 223.58) per 100 000 people] and the Oceania region [4643.33 (95% UI 2835.66, 6902.6) per 100 000 people], respectively. Fiji [319.08 (95% UI 213.77, 444.96) per 100 000 people] and Kiribati [10 000.58 (95% UI 6266.55, 14159.2) per 100 000 people] had the highest age-standardized deaths and DALY rates, respectively. In 2019, the highest age-standardized rates of high BMI-related deaths and DALYs were observed in the middle-high socio-demographic index quintile and in the middle socio-demographic index quintile. The age-standardized deaths and DALY rates attributable to high BMI are projected to increase in both sexes from 2020 to 2035. The death rates are projected to rise from 62.79 to 64.31 per 100 000 people, while the DALY rates are projected to rise from 1946 to 2099.54 per 100 000 people. CONCLUSIONS: High BMIs significantly contribute to the global disease burden. The projected rise in deaths and DALY rates attributable to high BMI by 2035 highlights the critical need to address the impact of obesity on public health. Our study provides policymakers with up-to-date and comprehensive information.