Risk Of Chronic Disease Research Articles

Time trend analysis and impacts of the COVID-19 pandemic on mammography and Papanicolaou test coverage in Brazilian state capitals

BackgroundBreast and cervical cancer are major public health issues globally. The reduction in incidence and mortality rates of these cancers is linked to effective prevention, early detection, and appropriate treatment measures. This study aims to analyze the temporal trends in the prevalence of mammography and Papanicolaou test coverage among women living in Brazilian state capitals between 2007 and 2023, and to compare the coverage of these tests before and during the Covid-19 pandemic.MethodsA time series study was conducted using data from the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey from 2007 to 2023. The variables analyzed included mammography and Papanicolaou test coverage according to education level, age group, race/skin color, regions, and Brazilian capitals. The Prais-Winsten regression model was used to analyze the time series, and Student’s t-test was employed to compare the prevalence rates between 2019 and 2023.ResultsBetween 2007 and 2023, mammography coverage showed a stationary trend (71.1% in 2007 and 73.1% in 2023; p-value = 0.75) with a declining trend observed among women with 12 years or more of education (APC= -0.52% 95%CI -1.01%; -0.02%). Papanicolaou test coverage for all women aged between 25 and 64 exhibited a downward trend from 82% in 2007 to 76.8% in 2023 (APC= -0.45% 95%CI -0.76%; -0.13%). This decline was also noticed among those with 9 years or more of education; in the 25 to 44 age group; among women with white and mixed race; and in the Northeast, Central-West, Southeast, and South regions. When comparing coverage before and during Covid-19 pandemic, a reduction was noted for both tests.ConclusionsOver the years, there has been stability in mammography coverage and a decline in Papanicolaou test. The COVID-19 pandemic negatively impacted the number of these tests carried out among women, highlighting the importance of actions aimed at increasing coverage, especially among the most vulnerable groups.

Association between socioeconomic status and risk of chronic obstructive pulmonary disease in China: a prospective cohort study

ObjectiveSocioeconomic status (SES) has been proven to be associated with chronic obstructive pulmonary disease (COPD) in Western populations, but the evidence is very limited in China. This study aimed to investigate the association between SES and the risk of COPD incident.MethodsThis study was based on the China Kadoorie Biobank (CKB) project in Wuzhong District, Suzhou. A total of 45,484 adults aged 30–79 were included in the analysis during 2004–2008. We used Cox proportional hazard models to investigate the association between SES and the risk of COPD. Household income, education, private property and consumption potential was used to measure SES. Incident COPD cases were ascertained using hospitalization records, death certificates, and active follow-up.ResultsA total of 524 COPD cases were identified during a median follow-up of 11.2 years. Household income was inversely associated with the risk of COPD (Ptrend<0.005). The adjusted hazard ratios (95% confidence intervals) for incident COPD were 0.88 (0.69–1.14), 0.77 (0.60–0.99), and 0.42 (0.31–0.57) for participants with annual household income of 10,000 ~ 19,999 yuan, 20,000 ~ 34,999 yuan and ≥ 35,000 yuan respectively, in comparison to participants with an annual household income < 10,000 yuan. Furthermore, we found that education level, refrigerator use, private toilet, private phone, and motor vehicle were adversely associated with COPD risk, while ownership of newly renovated flats was positively correlated with COPD incident.ConclusionsThis prospective study suggests that SES is associated with the risk of COPD in Chinese adults. Population-based COPD prevention strategies tailored for people with different SES could help reduce the burden of COPD in Chinese.

HEalthRecordBERT (HERBERT): Leveraging Transformers on Electronic Health Records for Chronic Kidney Disease Risk Stratification

Risk stratification is an essential tool in the fight against many diseases, including chronic kidney disease. Recent work has focused on applying techniques from machine learning and leveraging the information contained in a patient’s electronic health record (EHR). Irregular intervals between data entries and the large number of variables tracked in EHR datasets can make them challenging to work with. Many of the difficulties associated with these datasets can be overcome by using large language models, such as bidirectional encoder representations from transformers (BERT). Previous attempts to apply BERT to EHR for risk stratification have shown promise. In this work we propose HERBERT, a novel application of BERT to EHR data. We identify two key areas where BERT models must be modified to adapt them to EHR data, namely: the embedding layer and the pretraining task. We show how changes to these can lead to improved performance, relative to the previous state of the art. We evaluate our model by predicting the transition of chronic kidney disease patients to end stage renal disease. The strong performance of our model justifies our architectural changes and suggests that large language models could play an important role in future renal risk stratification.

Boost Your Brainpower: 24 Daily Sleep Hacks for Active Lifestyles

Sleep is a fundamental biological process that plays a pivotal role in the health and performance of physically active individuals (PAI). Sleep deprivation or poor sleep quality can negatively impact recovery capacity, concentration, coordination, and muscular strength, thereby compromising physical performance and increasing the risk of injuries. Objectives: This narrative literature review aims to examine the scientific evidence on the importance of sleep hygiene for the health and performance of PAI. A search was conducted for studies published on PubMed, Scopus, and Web of Science. Studies that investigated the effect of sleep hygiene on health and performance variables in athletes were included. The literature analysis highlighted that good sleep hygiene, adequate sleep duration (7–9 h per night), high sleep quality, and a regular sleep routine are associated with a range of benefits for the health and performance of PAI, including: (1) improved post-training recovery; (2) reduced risk of injuries; (3) enhanced concentration and attention; (4) improved coordination and muscle strength; (5) better mood and mental well-being; (6) reduced risk of chronic diseases. Sleep hygiene is a key factor for the health and performance of PAI. Implementing a comprehensive and personalized sleep hygiene routine can lead to significant improvements in the quality and quantity of sleep, with positive effects on physical and mental health, and overall well-being of PAI.

Health behaviors, knowledge, and attitudes toward cardiovascular disease risk factors in young Iraqi adults: a sample from Erbil, Iraq

Background: Cardiovascular disease continues to be a leading cause of death among young people globally. This cross-sectional study was designed to assess the health behaviors, knowledge, and attitudes regarding cardiovascular disease risk factors among young adults in Erbil, Iraq.Methods: Data were collected using the WHO STEPS Instrument for Chronic Disease Risk Factor Surveillance and the Heart Disease Fact Questions.Results: Ninety percent of participants demonstrated moderate to high knowledge and exhibited a positive attitude. Multiple linear regression analysis revealed that while a history of smoking, a lack of knowledge, and the absence of formal education negatively impacted knowledge levels, being aged 38 to 45 years, recognizing the importance of consuming less salt, walking for at least 10 minutes on 5 or more days per week, and regularly checking blood sugar levels positively contributed to knowledge. Unwillingness to change lifestyle had the most significant negative influence on knowledge.Conclusions: Establishing effective educational interventions may increase knowledge and promote more positive attitudes.

Association between ACE (rs4343 and rs1799752), AGTR1 (rs5186), and PAI-1 (rs2227631) polymorphisms in the host and the severity of Covid-19 infection

Objective It is necessary to identify appropriate clinical, biochemical, epidemiological and genetic biomarkers to elucidate the underlying mechanisms of the coronavirus disease-2019 (COVID-19) disease. The study focused on not only the link between disease severity (non-intense unit care (non-ICU) versus intensive unit care (ICU) and genetic susceptibility in COVID-19 patients but also the connection between comorbidity and genetic susceptibility affecting the severity of COVID-19. Subject and methods One hundred and sixty-two COVID-19 patients treated in the non-ICU and ICU in Kayseri City Hospital were included. All volunteers underwent a physical examination and biochemical evaluation. Angiotensin-converting enzyme (ACE p.T776T G > A(rs4343) and g.16471_16472delinsALU (also referred to as I/D polymorphism; rs1799752), angiotensin II receptor type-1 (AGTR1) c.*86A > C (also referred to as A1166C; rs5186), and plasminogen activator inhibitor-1 (PAI-1-844 G > A (rs2227631) polymorphisms were analysed as well. Results To have ACE “ID” genotype did not change the severity of the disease (OR: 0.92, 95% CI: 0.41–2.1, p = 0.84), but decreased the mortality risk 2.9-fold (OR: 2.9, 95% CI: 1.1–7.0, p = 0.03). In PAI-1-844 G > A, having the “AA” genotype in the “A” recessive model increased the risk of the diabetes mellitus (DM) 2.3-fold (OR: 2.3 95%, CI: 1.16–4.66, p = 0.018). In the “G” recessive model, to have the GG genotype increased the risk of chronic kidney disease (CKD) 4.8-fold (OR:4.8, 95% CI: 1.5–15.5, p = 0.008). “GG” genotype in the DM group had a higher fibrinogen level compared to those with the “AG” genotype (AG:4847.2 mg/L (1704.3) versus GG:6444.67 mg/L (1861.62) p = 0.019) and “AA” genotype in the CKD group had lower platelet levels and those with “GG” had higher platelet levels (AA:149 µL (18–159) versus GG: 228 µL (146–357) p = 0.022). Conclusion This study was shown that genetic predispositions that causes comorbidities were also likely to affect the prognosis of COVID-19.

Prevalence of Comorbidities among Patients with Type-2 Diabetes Mellitus in Saudi Population.

This study sought to quantify the link between low density lipoprotein (LDL) and cholesterol, glycemic control as measured by Hemoglobin A1c (HbA1c) level, and the impact of weight changes on subsequent risk of chronic heart disease in type-2 diabetes mellitus patients. This study was conducted at Primary Care Clinics from April to September 2023. The data were retrieved from the e-SiHi (a patient care management system). Appropriate parametric tests and non-parametric analysis were applied following the normality of the data. In diabetes mellitus (DM) patients, the Pearson correlation between the cholesterol and LDL relationship was found to be strongly positive and statistically significant (r = .877, p <.001). HbA1c and cholesterol were moderately positive and statistically significant (r =.330, p =.003). Pearson correlation between DM and weight was found to be positive and statistically significant (r =.212, p =.05). Chi-square analysis showed an association of DM with Hypertension, and this association was also significant; X2 (1, n = 83; 11.877; P <.001). Diabetes mellitus regardless of gender, has a strong association with hypertension and weight gain. In DM patients, cholesterol and HbA1c are positively correlated. There is a strong need that primary care physicians should persistently advise for lifestyle changes in all their consultations with DM patients.

The Legacy Effect of Intensive versus Standard BP Control on the Incidence of Needing Dialysis or Kidney Transplantation.

The Systolic Blood Pressure Intervention Trial (SPRINT) showed that intensive lowering of systolic blood pressure (BP) increased the risk of incident chronic kidney disease and episodes of acute kidney injury. Whether intensive treatment changes the risk of kidney failure is unknown. The goal of this study was to estimate the legacy effect of intensive versus standard systolic BP lowering on the longer-term incidence of kidney failure. Secondary analysis of a randomized, open-label clinical trial with observational follow-up. Between 2010 and 2013, patients 50 years and older with hypertension and higher cardiovascular risk excluding those with diabetes mellitus, history of stroke, proteinuria >1g / day or polycystic kidney disease were recruited from 102 clinic sites in the United States and Puerto Rico. Participants were randomized to a systolic BP goal of <120 mm Hg (intensive treatment) or <140 mm Hg (standard treatment group). We linked participants with the US Renal Data System to ascertain kidney failure (initiation of dialysis therapy or transplantation) and the US National Death Index to ascertain all-cause mortality through 2020. Based on analysis of 9279 (99.1%) of 9361 randomized participants, 101 cases of kidney failure occurred over a median follow-up of 8.6 years (interquartile range 8.0 to 9.1 years), with the majority occurring in 74 (73.3%) participants with an eGFR<45 ml/min/1.73 m2 at baseline. Intensive treatment did not significantly increase the risk of kidney failure either overall (cause-specific Hazard Ratio (HR) = 1.20, 95% CI: 0.81 - 1.78) or in the subgroup of participants with baseline eGFR<45 ml/min/1.73 m2 (HR = 1.43, 95% CI: 0.89 - 2.30). Overall, and in patients with eGFR <45 ml/min/1.73 m2, there were higher rates of dialysis or transplantation among SPRINT participants randomized to intensive treatment, but the modest differences observed were not statistically significant.

Exploring dietary habits: a study of food consumption patterns among school children aged 10-16 in Mysuru

Background: Diet plays an important role in the growth and development of children. Poor diet in children in Mysuru is linked to future health risks. This study examines the eating habits of children aged 10-16 years to create better food recommendations for children in preventing future consequences. Methods: A cross-sectional study was conducted in the Mysuru district. Data from 126 students aged 10-16 years from 2 schools were collected using A semi-structured food frequency questionnaire (FFQ) on dietary intake developed based on a 24-hour recall method and included items on demographic data, frequency of meal consumption in different food categories, and food frequency data. Anthropometric measurements were done. Descriptive statistics were used to analyze the data. Results: Among the students, most consume rice and idli daily; dosa and khichdi frequently. Pasta, puffed rice, and legumes are less common. Milk and milk products vary, with coffee/tea and paneer often consumed once a month. Fruits like apples, bananas, and grapes are consumed twice a week, while sweet lime, mango, and orange are mostly monthly. Boiled eggs and chicken are often bi-weekly; fish, beef, red meat, and prawns/crab are mostly consumed once a month or less. Biscuits and gobi are frequently consumed weekly; cakes, French fries, samosas, pizza, and chocolates are mainly consumed monthly. Conclusions: This study observes the dietary habits of Mysuru students (aged 10-16), to understand nutritional status and frequency of food consumption aiding targeted interventions to promote healthier eating and reduce chronic disease risk.

Effects of Different Combinations of Phytochemical-Rich Fruits and Vegetables on Chronic Disease Risk Markers and Gene Expression Changes: Insights from the MiBLEND Study, a Randomized Trial.

Adequate fruit and vegetable (F and V) intake, as recommended by the World Health Organization (over 400 g/day), is linked to reduced chronic disease risk. However, human intervention trials, especially with whole F and V and in complex combinations, are lacking. The MiBlend Study explored the effects of various phytochemical-rich F and V combinations on chronic disease risk markers, phytochemical absorption, and gene expression in blood. This randomized cross-over study involved participants consuming two of seven different F and V blends for 2 weeks (450 g/day), following a 2-week low F and V intake period (50 g/day). Each blend represented major phytochemical classes (flavonoids, anthocyanins, carotenoids, and glucosinolates) or combinations thereof. Markers of chronic disease risk, including DNA damage, oxidative stress, and retinal microvasculature, were measured. Increasing F and V intake significantly improved plasma antioxidant capacity, DNA damage protection, and retinal arteriolar dilation. Flavonoid-rich, carotenoid-rich, and complex blends notably reduced DNA damage susceptibility. Anthocyanin-rich and carotenoid-rich interventions were most effective in boosting antioxidant capacity, while blends high in flavonoids, especially combined with anthocyanins, significantly improved retinal microvasculature. Gene expression analysis revealed changes in DNA repair, signal transduction, and transcription processes, indicating mechanisms for these health benefits. The study suggests specific F and V blends can provide targeted health improvements, emphasizing the importance of both overall F and V intake and the specific phytochemical composition for personalized preventive strategies.

Kidney outcomes are altered by preconception weight modulation in rodent mothers with obesity

Obesity increases the risk of chronic kidney disease. We have previously demonstrated the benefits of preconception maternal weight loss on fertility and pregnancy outcomes in a mouse model of maternal obesity. Here, we elucidate if preconception weight loss, either by diet modification or the glucose-like peptide 1 agonist liraglutide, used in the treatment of diabetes and obesity, improves maternal kidney outcomes in late gestation. C57BL/6 female mice were fed either a high-fat-diet (HFD) or a chow (control) diet for 8 weeks. To induce pre-pregnancy weight loss, HFD-fed dams were switched to chow diet (HFD-C) or administered liraglutide (0.3 mg/kg subcutaneous) whilst continuing on HFD (HFD-L). Liraglutide was discontinued one week prior to mating. HFD-V mice continued on HFD, with saline injections. A group of HFD-fed dams were ‘diet switched’ to chow after conception (post-conception, HFD-PC). Maternal body weight and glucose tolerance were measured: (1) preconception and (2) during late gestation followed by blood, urine and kidney collection. Serum creatinine, urinary creatinine and albumin, kidney tissue gene expression and protein were measured. In the preconception period, HFD-L and HFD-C mothers have lower urine albumin:creatinine ratios (UACR) and fatty acid synthase (FAS) protein expression (P < 0.005 vs. HFD-V). At late gestation, kidneys of HFD-V and HFD-PC dams have increased gene expression of insulin receptor and FAS (P < 0.05) and higher UACR compared to controls (P < 0.01). In the HFD-PC group, kidneys show increased mRNA and protein expression of metabolic and oxidative stress markers (FAS, 8-OHdG vs. control, P < 0.05, P < 0.0001 respectively). The preconception intervention groups with liraglutide, or diet change show reduced oxidative stress (protein expression of 8-OHdG, P < 0.05 vs. HFD), mRNA and protein expression of FAS (P < 0.05 vs. HFD), protein expression of fibrosis markers (collagen IV, fibronectin vs. HFD, P < 0.05), and UACR (P < 0.05 vs. HFD). This study suggests that preconception weight loss benefits maternal kidney health during pregnancy, superior to diet intervention once already pregnant.

Population-based reference values for kidney function and kidney function decline in 25- to 95-year-old Germans without and with diabetes

Understanding normal aging of kidney function is pivotal to help distinguish individuals at particular risk for chronic kidney disease. Glomerular filtration rate (GFR) is typically estimated via serum creatinine (eGFRcrea) or cystatin C (eGFRcys). Since population-based age-group-specific reference values for eGFR and eGFR-decline are scarce, we aimed to provide such reference values from population-based data of a wide age range. In four German population-based cohorts (KORA-3, KORA-4, AugUR, DIACORE), participants underwent medical exams, interview, and blood draw up to five times within up to 25 years. We analyzed eGFRcrea and eGFRcys cross-sectionally and longitudinally (12,000 individuals, age 25-95 years). Cross-sectionally, we found age-group-specific eGFRcrea to decrease approximately linearly across the full age range, for eGFRcys up to the age of 60 years. Within age-groups, there was little difference by sex or diabetes status. Longitudinally, linear mixed models estimated an annual eGFRcrea decline of -0.80 [95% confidence interval -0.82, -0.77], -0.79 [-0.83, -0.76], and -1.20 mL/min/1.73m2 [-1.33, -1.08] for the general population, “healthy” individuals, or individuals with diabetes, respectively. Reference values for eGFR using cross-sectional data were shown as percentile curves for “healthy” individuals and for individuals with diabetes. Reference values for eGFR-decline using longitudinal data were presented as 95% prediction intervals for “healthy” individuals and for individuals with diabetes, obesity, and/or albuminuria. Thus, our results can help clinicians to judge eGFR values in individuals seen in clinical practice according to their age and to understand the expected range of annual eGFR-decline based on their risk profile.

Low household income increases risks for chronic obstructive pulmonary disease in young population: a nationwide retrospective cohort study in South Korea

BackgroundLow socioeconomic status is a risk factor for chronic obstructive pulmonary disease (COPD); however, the association between low household income and COPD in young populations remains unclear.MethodsWe screened individuals aged...

Bioelectrical impedance phase angle combined with physical function predicts pre-frailty in maintenance hemodialysis patients: a prospective study

BackgroundThe prevalence of pre-frailty is notably high among maintenance hemodialysis (MHD) patients. Pre-frailty, an early and reversible condition between non-frailty and frailty, can lead to adverse outcomes such as increased unplanned hospital admissions and a higher risk of other chronic diseases. Early identification and intervention of pre-frailty in MHD patients are crucial. This study aimed to establish a simple and effective model for screening and identifying MHD patients at high risk of pre-frailty by using 50 kHz-Whole Body Phase Angle (PhA) measured by bioelectrical impedance analysis (BIA), hand grip strength (HGS), the Five-Times-Sit-to-Stand Test (FTSST), and laboratory parameters, with a specific focus on gender differences.MethodsThis prospective cross-sectional study was conducted from September to December 2023 at the Wenjiang Hemodialysis Center in the Department of Nephrology, West China Hospital, Sichuan University, Chengdu, China. A total of 244 MHD patients, including 130 males and 114 females, were enrolled, comprising 128 non-frail and 116 pre-frail individuals. Data were collected prospectively, including demographic information, physical measurements, and laboratory test results. All participants provided informed consent before enrollment. The FRAIL scale (FS) was used to assess pre-frailty in MHD patients. Grip strength was measured using an electronic grip strength tester, physical function was assessed using the Five-Times-Sit-to-Stand Test, and whole-body phase angle was measured using the InBody S10 device.ResultsA total of 244 MHD patients with a mean age of 53.75 ± 0.90 years were enrolled, including 130 males with a mean age of 54.12 ± 1.26 years and 114 females with a mean age of 53.32 ± 1.29 years. ROC curve analysis showed that in male patients, the AUC of PhA for predicting pre-frailty was 0.919, with a sensitivity of 94.5% and specificity of 91.3%, and a cutoff value of 6.05°; in female patients, the AUC of PhA was 0.870, with a sensitivity of 70.5% and specificity of 90.6%, and a cutoff value of 5.25°. The AUC of FTSST for screening pre-frailty in male patients was 0.827, with a sensitivity of 62.3% and specificity of 96.2%, and a cutoff value of 12.95 s; in female patients, the AUC of FTSST was 0.784, with a sensitivity of 67.3% and specificity of 84.0%, and a cutoff value of 12.95 s. Additionally, in male patients, the combination of PhA and FTSST resulted in an AUC of 0.930, with a sensitivity of 96.4% and specificity of 81.3%; in female patients, the AUC was 0.911, with a sensitivity of 78.7% and specificity of 92.5%.ConclusionPhA measured by BIA, in combination with the Five-Times-Sit-to-Stand Test, serves as an effective screening tool and predictor of pre-frailty in MHD patients. The combination of PhA and FTSST shows enhanced diagnostic value in female patients, while PhA alone is sufficient for predicting pre-frailty in male patients.Trial registrationChinese Clinical Trial Registry (ChiCTR2100051111), registered on 2021–09-13.

Impact of the Physical Activity Environment on Change in Body Mass Index Percentile in Child Care Centers Serving Children with Disabilities.

Childcare centers (CCCs) can provide opportunities to implement physical activity (PA) via health promotion interventions to prevent obesity and associated chronic disease risk factors in young children. This study evaluated the impact of the Healthy Caregivers-Healthy Children (HC2) intervention on body mass index percentile (PBMI) and the PA environment in CCCs serving children with disabilities (CWD) over one school year. Ten CCCs were cluster-randomized to either (1) an intervention arm that received the HC2 curriculum adapted for CWD or (2) an attention control arm. Mixed-effect linear regression models analyzed the relationship between change in child PBMI and CCC childcare center PA environment by experimental condition and child disability status over one school year. Findings showed a significant decrease in PBMI among children in the HC2 centers (-6.74, p = 0.007) versus those in control centers (-1.35, p = 0.74) over one school year. Increased PA staff behaviors (mean change 3.66, p < 0.001) and PA policies (mean change 6.12, p < 0.001) were shown in intervention centers during the same period. Conversely, there was a significant increase in sedentary opportunities (mean change 4.45, p < 0.001) and a decrease in the portable play environment (mean change -3.16, p = 0.03) and fixed play environment (mean change -2.59, p = 0.04) in control centers. No significant differences were found in PBMI changes between CWD and children without disabilities (beta = 1.62, 95% CI [-7.52, 10.76], p = 0.73), suggesting the intervention's efficacy does not differ by disability status. These results underscore the importance of (1) including young CWD and (2) PA and the supporting environment in CCC health promotion and obesity prevention interventions.

Nanotherapeutic kidney cell-specific targeting to ameliorate acute kidney injury

Acute kidney injury (AKI) increases the risk of in-hospital death, adds to expense of care, and risk of early chronic kidney disease. AKI often follows an acute event such that timely treatment could ameliorate AKI and potentially reduce the risk of additional disease. Despite therapeutic success of dexamethasone in animal models, clinical trials have not demonstrated broad success. To improve the safety and efficacy of dexamethasone for AKI, we developed and characterized a novel, kidney-specific nanoparticle enabling specific within-kidney targeting to proximal tubular epithelial cells provided by the megalin ligand cilastatin. Cilastatin and dexamethasone were complexed to H-Dot nanoparticles, which were constructed from generally recognized as safe components. Cilastatin/Dexamethasone/H-Dot nanotherapeutics were found to be stable at plasma pH and demonstrated salutary release kinetics at urine pH. In vivo, they were specifically biodistributed to the kidney and bladder, with 75% recovery in the urine and with reduced systemic toxicity compared to native dexamethasone. Cilastatin complexation conferred proximal tubular epithelial cell specificity within the kidney in vivo, and enabled dexamethasone delivery to the proximal tubular epithelial cell nucleus in vitro. The Cilastatin/Dexamethasone/H-Dot nanotherapeutic improved kidney function and reduced kidney cellular injury when administered to male C57BL/6 mice in two translational models of AKI (rhabdomyolysis and bilateral ischemia reperfusion). Thus, our design-based targeting and therapeutic loading of a kidney-specific nanoparticle resulted in preservation of the efficacy of dexamethasone, combined with reduced off-target disposition and toxic effects. Hence, our study illustrates a potential strategy to target AKI and other diseases of the kidney.

Integrating multi-task and cost-sensitive learning for predicting mortality risk of chronic diseases in the elderly using real-world data

Background and ObjectiveReal-world data encompass population diversity, enabling insights into chronic disease mortality risk among the elderly. Deep learning excels on large datasets, offering promise for real-world data. However, current models focus on single diseases, neglecting comorbidities prevalent in patients. Moreover, mortality is infrequent compared to illness, causing extreme class imbalance that impedes reliable prediction. We aim to develop a deep learning framework that accurately forecasts mortality risk from real-world data by addressing comorbidities and class imbalance. MethodsWe integrated multi-task and cost-sensitive learning, developing an enhanced deep neural network architecture that extends multi-task learning to predict mortality risk across multiple chronic diseases. Each patient cohort with a chronic disease was assigned to a separate task, with shared lower-level parameters capturing inter-disease complexities through distinct top-level networks. Cost-sensitive functions were incorporated to ensure learning of positive class characteristics for each task and achieve accurate prediction of the risk of death from multiple chronic diseases. ResultsOur study covers 15 prevalent chronic diseases and is experimented with real-world data from 482,145 patients (including 9,516 deaths) in Shenzhen, China. The proposed model is compared with six models including three machine learning models: logistic regression, XGBoost, and CatBoost, and three state-of-the-art deep learning models: 1D-CNN, TabNet, and Saint. The experimental results show that, compared with the other compared algorithms, MTL-CSDNN has better prediction results on the test set (ACC=0.99, REC=0.99, PRAUC=0.97, MCC=0.98, G-means = 0.98). ConclusionsOur method provides valuable insights into leveraging real-world data for precise multi-disease mortality risk prediction, offering potential applications in optimizing chronic disease management, enhancing well-being, and reducing healthcare costs for the elderly population.

Association of liver fibrosis-4 index with adverse outcomes in hypertrophic cardiomyopathy patients.

The fibrosis-4 index (FIB-4) is a non-invasive tool to assess fibrosis risk in chronic liver disease. We aimed to explore the relationship between the FIB-4 index and long-term major adverse cardiovascular events (MACE) in HCM patients. Consecutive patients diagnosed with HCM were included. Patients were divided into two groups using a defined cutoff value established through a ROC analysis for predicting MACE (FIB-4≥2.37 and FIB-4<2.37). The final analysis comprised 187 HCM patients (34.8% females, 66.49±11.43years of age), with 47 (25.1%) in the FIB-4≥2.37 group and 140 (74.9%) in the FIB-4<2.37 group. Among these, 147 (78.6%) individuals had complete follow-up data. Patients with FIB-4≥2.37 demonstrated a higher prevalence of co-morbidities such as atrial fibrillation (27.7% vs. 7.9%; P<0.001), heart failure (55.3% vs. 24.3%; P<0.001), elevated NT-proBNP levels (3.03±4.74 vs. 0.66±1.08; P<0.001), and lower LVEF (58.51±7.86 vs. 61.84±5.04; P=0.001). Over a median of 41 (IQR 16-63) months follow-up, MACE occurred in 49 (33.3%), with a significantly higher incidence in the FIB-4≥2.37 group (58.8% vs. 25.7%, P<0.001). Cardiac death rates were also elevated in the FIB-4≥2.37 group (20.6% vs. 2.7%, P=0.001). Cox regression analysis revealed an independent association between FIB-4≥2.37 and a higher risk of MACE (adjusted HR: 1.919, 95% CI 1.015-3.630; P=0.045) and cardiac death (adjusted HR: 9.518, 95% CI 1.718-52.732; P=0.010). Furthermore, the FIB-4 index shows positive correlations with left atrium diameter (r=0.229; P=0.003), septal thickness (r=0.231; P=0.002), posterior wall thickness (r=0.235; P=0.001), and NT-proBNP (r=0.271; P<0.001). Conversely, a negative correlation was observed between the FIB-4 index and left ventricular ejection fraction (r=-0.185; P=0.011). Elevated FIB-4 index, indicative of liver fibrosis, is independently associated with an increased risk of long-term MACE in HCM patients. This emphasizes the potential influence of liver function abnormalities on HCM prognosis, underscoring the need for comprehensive risk assessment in clinical management.

Association Between Dynapenia, Central Obesity, and Physical Function in Young Adults: A Cross-Sectional Study.

Muscle strength is recognized as a key indicator of overall health and can help identify the risk of cardiometabolic disease. This study explores the relationship between low muscle strength, central obesity, and physical function among young adults. We conducted a cross-sectional study from a convenience sample of 513 adults aged 18-25. Participants' anthropometric measures such as height, weight, and circumferences of both waist and hip were measured, and body mass index (BMI) was calculated. Subjects were tested for hand grip strength (HGS) using hand dynamometry. Relative hand grip strength (RHGS) was derived by dividing maximum HGS by BMI. Physical function was assessed using a six-minute walk test. The International Physical Activity Questionnaire (IPAQ) was administered. Overweight and obesity were present in 313 (61%) of the study population. Central obesity was observed in 194 (37.8%) of the population. RHGS showed a positive association with physical function and physical activity, and a negative association was observed with BMI and waist circumference. Low RHGS was categorized as < 25th percentile by gender. The non-dynapenic non-central obese group had higher physical function (644± 124.2) than others. There was no difference in the dynapenic and central obese groups. The dynapenic central obese group had significantly lesser physical function (424.9±69.1) than all other groups in both genders. Our study supports the importance of early investigation of dynapenia, which can increase the risk of chronic disease and accelerate the development of physical limitations. Understanding how dynapenia and central obesity relate to low physical function is of growing importance in young adults, and it can play an important role in overall health.

The hospitalisation risk of chronic circulatory and respiratory diseases associated with coal mining in the general population in Queensland, Australia

Queensland is the main coal mining state in Australia where populations in coal mining areas have been historically exposed to coal mining emissions. Although a higher risk of chronic circulatory and respiratory diseases has been associated with coal mining globally, few studies have investigated these associations in the Queensland general population. This study estimates the association of coal production with hospitalisations for chronic circulatory and respiratory diseases in Queensland considering spatial and temporal variations during 1997–2014.An ecological analysis used a Bayesian hierarchical spatiotemporal model to estimate the association of coal production with standardised rates of each, chronic circulatory and respiratory diseases, adjusting for sociodemographic factors and considering the spatial structure of Queensland's statistical areas (SA2) in the 18-year period. Two specifications; with and without a space-time interaction effect were compared using the integrated nested Laplace approximation -INLA approach. The posterior mean of the best fit model was used to map the spatial, temporal and spatiotemporal trends of risk.The analysis considered 2,831,121 hospitalisation records. Coal mining was associated with a 4 % (2.4—5.5) higher risk of hospitalisation for chronic respiratory diseases in the model with a space-time interaction effect which had the best fit. An emerging higher risk of either chronic circulatory and respiratory diseases was identified in eastern areas and some coal-mining areas in central and southeast Queensland. There were important disparities in the spatiotemporal trend of risk between coal -and non-coal mining areas for each, chronic circulatory and respiratory diseases.Coal mining is associated with an increased risk of chronic respiratory diseases in the Queensland general population. Bayesian spatiotemporal analyses are robust methods to identify environmental determinants of morbidity in exposed populations. This methodology helps identifying at-risk populations which can be useful to support decision-making in health. Future research is required to investigate the causality links between coal mining and these diseases.