Chronic Disease Status Research Articles

Beneficial Bacteria in the Gut Microbiota May Lead to Improved Metabolic and Immunological Status in Chronic Obstructive Pulmonary Disease.

We included 16 stable COPD patients and 16 healthy volunteer CTLs. The relative abundances of Bifidobacterium spp. (Bf) and Akkermansia muciniphila (Akk) bacteria and the Bacteroidetes and Firmicutes phyla were assessed by qPCR. Pulmonary function was evaluated by spirometry, biochemical parameters by colorimetric methods and plasma cytokine levels by cytometric bead array analysis. The Firmicutes/Bacteroides ratio was related to emergency hospital visits and six-minute walk test (6MWT) results. Furthermore, the relative abundance of Bf was associated with plasma concentrations of glucose, triglycerides, HDL-C and IL-10. In addition, Firmicutes levels and the Firmicutes/Bacteroidetes ratio were associated with the IL-12/IL-10 ratio, while Akk abundance was linked to IL-12 levels. The present findings suggest that the abundance of beneficial bacteria in the GM could influence clinical presentation and immunoregulation in COPD.

Brazil nuts potential: effects on lipid peroxidation and heart health in nephrectomized rats.

To investigate the effects of a Brazil nut-enriched diet on the wall thickness and the left ventricular chamber diameter of the heart, and lipid peroxidation in a CKD-induced model. Male Wistar rats at 12weeks of age were divided into two groups (n=16/group): the Nx group, which underwent 5/6 nephrectomy, and the Sham group, as a control. After 5weeks, the groups were subdivided according to diet (n=8/group): the Nx and Sham groups received a control diet; the Nx5% and Sham5% groups received a diet enriched with 5 % Brazil nuts for 8weeks. The left ventricular thickening and chamber diameter were determined. Plasma biochemical parameters were evaluated. Analysis of thiobarbituric acid reactive substances (TBARS) and antioxidant enzyme activity was performed in the plasma and the left ventricle (LV). LV mRNA expression of nuclear factor-kappa B (NF-κB) and nuclear factor erythroid 2-related factor 2 (Nrf2) was evaluated by reverse transcription-polymerase chain reaction. The Nx5% group showed a remodeled LV wall with decreased thickness compared to the Nx group (p=0.016). Furthermore, LV TBARS concentration was reduced in the Nx5% group (p=0.0064). In addition, the Nx5% group showed an increase in plasma GPx activity (p=0.0431). No significant results were found concerning the LV mRNA expression of NF-κB and Nrf2 genes. A Brazil nut-enriched diet decreased LV thickness and LV TBARS concentration and increased GPx activity in a 5/6 nephrectomy experimental model, making it a promising adjuvant therapy to improve antioxidant status and cardiovascular outcomes in chronic kidney disease.

A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy

ObjectiveTo develop a machine learning-based risk prediction model for postoperative parastomal hernia (PSH) in colorectal cancer patients undergoing permanent colostomy, assisting nurses in identifying high-risk groups and devising preventive care strategies.MethodsA case-control study was conducted on 495 colorectal cancer patients who underwent permanent colostomy at the Second Affiliated Hospital of Anhui Medical University from June 2017 to June 2023, with a 1-year follow-up period. Patients were categorized into PSH and non-PSH groups based on PSH occurrence within 1-year post-operation. Data were split into training (70%) and testing (30%) sets. Variable selection was performed using Least Absolute Shrinkage and Selection Operator (LASSO) regression, and binary classification prediction models were established using Logistic Regression (LR), Support Vector Classification (SVC), K Nearest Neighbor (KNN), Random Forest (RF), Light Gradient Boosting Machine (LGBM), and Extreme Gradient Boosting (XgBoost). The binary classification label denoted 1 for PSH occurrence and 0 for no PSH occurrence. Parameters were optimized via 5-fold cross-validation. Model performance was evaluated using Area Under Curve (AUC), specificity, sensitivity, accuracy, positive predictive value, negative predictive value, and F1-score. Clinical utility was evaluated using decision curve analysis (DCA), model explanation was enhanced using shapley additive explanation (SHAP), and model visualization was achieved using a nomogram.ResultsThe incidence of PSH within 1 year was 29.1% (144 patients). Among the models tested, the RF model demonstrated the highest discrimination capability with an AUC of 0.888 (95% CI: 0.881–0.935), along with superior specificity, accuracy, sensitivity, and F1 score. It also showed the highest clinical net benefit on the DCA curve. SHAP analysis identified the top 10 influential variables associated with PSH risk: body mass index (BMI), operation duration, history and status of chronic obstructive pulmonary disease (COPD), prealbumin, tumor node metastasis (TNM) staging, stoma site, thickness of rectus abdominis muscle (TRAM), C-reactive protein CRP, american society of anesthesiologists physical status classification (ASA), and stoma diameter. These insights from SHAP plots illustrated how these factors influence individual PSH outcomes. The nomogram was used for model visualization.ConclusionThe Random Forest model demonstrated robust predictive performance and clinical relevance in forecasting colonic PSH. This model aids in early identification of high-risk patients and guides preventive care.

Predicting major clinical events among Canadian adults with laboratory-confirmed influenza infection using the influenza severity scale

We developed and validated the Influenza Severity Scale (ISS), a standardized risk assessment for influenza, to estimate and predict the probability of major clinical events in patients with laboratory-confirmed infection. Data from the Canadian Immunization Research Network’s Serious Outcomes Surveillance Network (2011/2012–2018/2019 influenza seasons) enabled the selecting of all laboratory-confirmed influenza patients. A machine learning-based approach then identified variables, generated weighted scores, and evaluated model performance. This study included 12,954 patients with laboratory-confirmed influenza infections. The optimal scale encompassed ten variables: demographic (age and sex), health history (smoking status, chronic pulmonary disease, diabetes mellitus, and influenza vaccination status), clinical presentation (cough, sputum production, and shortness of breath), and function (need for regular support for activities of daily living). As a continuous variable, the scale had an AU-ROC of 0.73 (95% CI, 0.71–0.74). Aggregated scores classified participants into three risk categories: low (ISS < 30; 79.9% sensitivity, 51% specificity), moderate (ISS ≥ 30 but < 50; 54.5% sensitivity, 55.9% specificity), and high (ISS ≥ 50; 51.4% sensitivity, 80.5% specificity). ISS demonstrated a solid ability to identify patients with hospitalized laboratory-confirmed influenza at increased risk for Major Clinical Events, potentially impacting clinical practice and research.

Research on evaluation indicators of healthspan for veterans: A single-center exploratory study.

To explore a definition of healthspan that based on actual situation of veterans is of significance for improving their health status and life quality. This was a retrospective study. Based on the medical data of veterans from the Chinese PLA General Hospital. Total of 1,421 subjects were enrolled to this study, among which 441 deceased cases were further analyzed. The indicators of healthspan of the subjects was calculated from four dimensions (the status of chronic diseases, physical function, social function and psychological function). The risk factors for death were analyzed in a population cohort from 2008 to 2021 (including 763 subjects, among which 372 were deceased). The average lifespan and adjusted healthspan of the subjects were 93.3 years and 75.1 years, respectively. The four dimensions of healthspan were: adjusted healthspan without chronic diseases was 76.3 years, social function-related healthspan was 88.8 years, physical function-related healthspan was 91.5 years, and psychological function-related healthspan was 92.7 years. By analyzing the cohort in 2008, it was inferred that the main risk factors for the death of veterans were poor nutritional status, renal function injury, high blood pressure, high blood sugar, and aging. This study proposed four dimensions related to "healthspan" for Chinese veterans (adjusted healthspan without chronic diseases, physical function-related healthspan, social function-related healthspan, and psychological function-related healthspan). Besides, poor nutritional status, renal function injury, and high blood pressure were the most important risk factors affecting the death of veterans.

Sociodemographic and Psychosocial Factors Affecting the Psychological Well-being of Preoperative Surgical Patients

PurposeThis study aimed to determine the subjective psychological well-being levels and sociodemographic and psychosocial factors affecting the psychological well-being of preoperative surgical patients. DesignThis was a cross-sectional study. MethodsThis study was conducted between January 15, 2021 and July 15, 2021. The sample consisted of 236 surgical patients in a public hospital in the Thrace region of Turkey. Data were collected using a personal information form and the five-item World Health Organization Well-Being Index (WHO-5). The data were analyzed using numbers, percentages, mean, standard deviation, independent samples t test, one-way analysis of variance, Tukey's multiple comparison test, and linear regression analysis. FindingsParticipants had a mean WHO-5 score of 10.76 ± 6.21, indicating low subjective psychological well-being. Economic status, chronic disease status, history of surgery, having been on psychiatric medication or receiving professional psychological support, tobacco use, experiencing a significant life change in the last 3 months, and reporting experiencing frequent stress in everyday life were significant predictors of WHO-5 scores. ConclusionsPreoperative surgical patients have low subjective psychological well-being, and their sociodemographic and psychosocial factors affect their psychological well-being.

Coronavirus Fear and Life Quality Perceptions of COVID-19 Positive Patients' Spouses

This study was conducted to determine the fear of coronavirus and quality of life perceptions of the spouses of patients diagnosed with COVID-19 who were treated and discharged. This cross sectional descriptive study was conducted with the spouses of 111 patients who were diagnosed with COVID-19 in a district state hospital and were treated and discharged. Data were collected with the Patient Spouse Identification Form, the COVID-19 Fear Scale, and the WHOQOL BREF 27 Quality of Life Scale. Data were evaluated by percentage, arithmetic mean, standard deviation, t test, Mann Whitney-U test, Kruskal-Wallis test and Pearson Correlation coefficient. The mean COVID-19 Fear scale score of the participants was 16.92 ± 6.20. A statistically significant difference was found between the education level, chronic disease status, hospitalization period of the spouse, and knowledge of the new type of coronavirus and the quality of life sub-dimensions mean scores of the participants. As individuals' fear levels increase, the quality of life psychological health sub-dimension score decreases.

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.

Bidirectional Relationships Between Loneliness, Social Isolation, and Physical Inactivity in the Household, Income and Labour Dynamics in Australia Cohort Study.

Cross-sectional studies show associations between loneliness, social isolation and physical inactivity. Cohort studies are shedding light on these relationships and further longitudinal investigations are needed. This study aimed to assess the longitudinal and bidirectional associations between loneliness, social isolation, and physical inactivity. Data were drawn from five annual waves of the Household and Labour Dynamics of Australia Survey (2015-2019), providing a sample of 17,303 persons (mean age = 46.3 years [SD = 18.0], 49.4% female). Relationships between loneliness, social isolation, and physical inactivity were examined using cross-lagged panel modeling, with estimation of simultaneous cross-lagged effects across each wave. Models adjusted for sociodemographic factors, chronic disease status, psychological distress, and mutually for social isolation or loneliness. Moderation of associations by sex was explored. There were modest lagged effects of physical inactivity on loneliness across the survey waves (odds ratio 1.16 [95% confidence interval 1.04-1.29] to 1.20 [1.07, 1.33]). A lagged effect of physical inactivity upon social isolation was only present across three of the waves (odds ratio 1.20 [1.02-1.41] to 1.23 [1.05-1.42]). While loneliness and social isolation showed lagged effects upon physical inactivity, these did not persist with adjustment for psychological distress. Longitudinal analysis found that physical inactivity consistently predicted loneliness, but not social isolation. After adjustment for confounding, loneliness and social isolation were not predictive of physical inactivity. While the strength of the associations was modest, further investigation is warranted of the type and dose of physical activity that is most beneficial for reducing loneliness.

Association of Handgrip Strength and Nutritional Status in Non-Dialysis-Dependent Chronic Kidney Disease Patients: Results from the KNOW-CKD Study.

Handgrip strength (HGS) is suggested as an indirect assessment of nutritional status in chronic kidney disease (CKD) patients, but evidence is limited for non-dialysis-dependent CKD (NDD-CKD) patients. This cross-sectional study included 404 patients from the Phase II KoreaN Cohort Study for Outcome in Patients With CKD. HGS, measured twice in each hand, was the exposure, and malnutrition status was defined by a malnutrition-inflammation score (MIS) of 6 or higher. A logistic regression analysis adjusted for age, sex, diabetes mellitus (DM), hypertension, CKD stages, smoking, overhydration, education, and income status was used to assess malnutrition risk. The predictability of HGS for malnutrition was evaluated using the area under the curve (AUC). Patients with lower HGS were older, had a higher prevalence of DM, and lower estimated glomerular filtration rate. Higher HGS was significantly associated with lower malnutrition risk after adjustment (per 1 standard deviation increase, adjusted odds ratio, 0.47 [0.30-0.75]). Subgroup analyses showed no significant interaction between HGS and malnutrition risk across age, sex, DM, and CKD stage. HGS showed fair predictability for malnutrition in men (AUC 0.64 [0.46-0.83]) and women (AUC 0.71 [0.55-0.86]). In conclusion, HGS is a useful diagnostic indicator of malnutrition in NDD-CKD patients.

Multiple chronic diseases and psychological distress among adults in the United States: the intersectionality of chronic diseases, race/ethnicity, immigration, sex, and insurance coverage.

Psychological distress significantly contributes to the burdens of morbidity and mortality in the United States (U.S.), but our understanding is limited with regards to the risk factors associated with psychological distress. We used nationally representative data to examine (1) the comorbidities of chronic diseases and their risks for psychological distress and (2) the ways in which chronic diseases combine with demographic factors such as sex, race/ethnicity, immigration status, and health insurance coverage to affect the patterning of psychological distress. We analyzed the 2005-2018 National Health Survey Interview cross-sectional data on U.S. adults aged ≥ 18 years (n = 351,457). We fitted sequential multivariable logistic regression models. There was a dose-response relationship between the number of chronic diseases and psychological distress, with increased number of chronic diseases associated with increased psychological distress risk. Females (vs. males) and those without health insurance (vs. insured) were more likely to experience psychological distress. Immigrants (vs. non-immigrants) and racial/ethnic minorities (vs. White individuals) were less likely to experience psychological distress. There were significant interactions between chronic diseases and insurance coverage, immigration status, and race/ethnicity, but the three-way interactions were not statistically significant with psychological distress: chronic disease status vs. immigration status vs. health insurance coverage, and chronic disease vs. race/ethnicity vs. immigration status. The findings suggest a critical need to consider the complex ways in which chronic diseases and psychosocial factors combine to affect psychological distress and their implications for tailoring mental health screening, initiatives to reduce distress, and prevention strategies for effectively addressing health-related disparities in the general population.

Risk factors for acute kidney injury or mortality and long-term follow-up in coronavirus disease 2019 infected patients in the era before vaccination.

Acute kidney injury (AKI) is a severe complication of coronavirus disease 2019 (COVID-19) and is associated with a higher risk of mortality. Understanding the risk factors contributing to COVID-19-related AKI and mortality before vaccination is important for the initiation of preventative measures and early treatment strategies. This study included patients aged ≥18 years diagnosed with COVID-19 through polymerase chain reaction from May 2020 to July 2021, admitted in three local hospitals in Taiwan, with an extended follow-up until June 30, 2022. A median follow-up period of 250 days was used to assess AKI development and mortality. AKI was defined according to the Kidney Disease Improving Global Outcomes criteria. Multivarible Cox regression analysis of AKI and mortality-related risk factors were performed. Of the 720 hospitalized patients with COVID-19, 90 (22%) developed AKI. Moreover, 80%, 10.1%, and 8.9% of the patients had stage 1, 2, and 3 AKI, respectively. Patients with stage 1 to 3 AKI had significantly lower survival rates than those without AKI ( p = 0.001). The mean duration of post-admission AKI occurrence was 9.50 ± 11.32 days. Older age, hypoalbuminemia, and higher D-dimer and ferritin levels were associated with COVID-19 mortality. In COVID-19 AKI, in addition to older age and high D-dimer and ferritin levels, chronic kidney disease emerged as an independent risk factor. COVID-19-related AKI develops early, exhibits a temporal association with respiratory failure, and is linked to an unfavorable prognosis. The mortality rate increased according to the AKI stage ( p = 0.001). Age, albumin, D-dimer, and ferritin levels, and the underlying chronic kidney disease status upon admission are crucial factors for predicting AKI development, which increases the mortality risk. Monitoring the renal function not only within 10 days of COVID-19 onset, but also within 1 month after the disease onset.

Mendelian randomization analysis revealed that albuminuria is the key factor affecting socioeconomic status in CKD patients

Previous studies indicate a strong correlation between the incidence of chronic kidney disease (CKD) and lower economic status. However, these studies often struggle to delineate a clear cause–effect relationship, leaving healthcare providers uncertain about how to manage kidney disease in a way that improves patients’ financial outcomes. Our study aimed to explore and establish a causal relationship between CKD and socioeconomic status, identifying critical influencing factors. We utilized summary meta-analysis data from the CKDGen Consortium and UK Biobank. Genetic variants identified from these sources served as instrumental variables (IVs) to estimate the association between CKD and socioeconomic status. The presence or absence of CKD, estimated glomerular filtration rate (eGFR), and albuminuria were used as exposures, while income and regional deprivation were analyzed as outcomes. We employed the R packages ‘TwoSampleMR’ and ‘Mendelianrandomization’ to conduct both univariable and multivariable Mendelian randomization (MR) analyses, assessing for potential pleiotropy and heterogeneity. Our univariable MR analysis revealed a significant causal relationship between high levels of albuminuria and lower income (OR = 0.84, 95% CI: 0.73–0.96, p = 0.013), with no significant pleiotropy detected. In the multivariable MR analysis, both CKD (OR = 0.867, 95% CI: 0.786–0.957, p = 0.0045) and eGFR (OR = 0.065, 95% CI: 0.010–0.437, p = 0.0049) exhibited significant effects on income. This study underscores that higher albuminuria levels in CKD patients are associated with decreased income and emphasizes the importance of effective management and treatment of albuminuria in CKD patients to mitigate both social and personal economic burdens.

Recent Advances of Neoadjuvant Immunotherapy for Urothelial Bladder Cancer.

Urothelial bladder cancer is one of the most common malignant tumors of the urinary system, which accounts for 90~95% of urothelial carcinoma. Despite the current standard neoadjuvant management for localized urothelial MIBC (T2-4cN0M0) is cisplatin-based chemotherapy before radical cystectomy, there still had poor performances and less overall survival benefits in patients with localized urothelial MIBC. Moreover, nearly half of MIBC patients were ineligible for receiving cisplatin because of chronic kidney disease and performance status. Although immunotherapy, immune checkpoint inhibitors (ICIs) has been identified as first or second-line treatments for localized and metastasis bladder cancer based on less adverse reactions and favorable outcomes, neoadjuvant immunotherapy had rarely used for the treatment of these patients because of less large-scale clinical randomized studies and limited outcomes. Therefore, we reviewed the advances of efficacy and safety with neoadjuvant immunotherapy for urothelial bladder cancer depended on published articles and clinical studies, which could provide more theoretical evidences and promising strategy for clinical therapeutic development.

Association Between Preoperative Anemia and Cognitive Function in a Large Cohort Study of Older Patients Undergoing Elective Surgery.

The etiology of anemia has tremendous overlap with the disease states responsible for cognitive decline. We used data from a perioperative database of older adults undergoing elective surgery with anesthesia to (1) examine relationships among preoperative anemia blood markers, preoperative screeners of cognitive function, and chronic disease status; and (2) examine the relationship of these factors with operative outcomes. The primary goal of this study was to investigate the association between preoperative anemia blood markers and cognition measured by a preoperative cognitive screener. Secondary goals were to (1) examine the relationship between preoperative anemia blood markers and chronic disease states (ie, American Society of Anesthesiologists [ASA] and frailty), and (2) investigate the relationship of preoperative anemia blood markers and cognition with operative outcomes (ie, discharge disposition, 1-year mortality, number of surgical complications, length of hospital stay, and length of intensive care unit [ICU] stay). Data were collected at the University of Florida Health Shands Presurgical Center and the Perioperative Cognitive Anesthesia Network clinic within the electronic medical record. Patients 65 years of age or older were included if they had a preoperative hemoglobin (Hgb) value and a preoperative screening. Nonparametric methods were used for bivariate analysis. Logistic regression was used for the simultaneous examination of variables associated with nonhome discharge and 1-year mortality. Primary outcomes were discharge disposition and 1-year mortality. Secondary outcomes were number of surgical complications and length of hospital and ICU stay. Of 14,795 patients cognitively assessed, 8643 met the inclusion criteria. Of these, 26.7% were anemic, with 16.8%, 9.5%, and 0.4% having mild, moderate, and severe anemia, respectively. The Spearman correlation coefficient [95% confidence interval, CI] between the Hgb level and the clock drawing time (CDT) was -.15 [-.17 to -.13] (P < .0001) indicating that a lower Hgb level was associated with cognitive vulnerability. Hgb was also negatively correlated with the ASA physical status classification, patient Fried Frailty Index, and hospital and ICU length of stay. In the multivariable model, age, surgical service, ASA and Fried Frailty Index significantly predicted nonhome discharge. Furthermore, age, surgical service, ASA, Fried Frailty Index, and Hgb independently predicted death within 1 year of surgery. The odds of death, adjusted for ASA, Fried Frailty, and covariates, were 2.7 times higher for those in the mild anemic group compared to those who were not anemic (odds ratio [OR], 2.7, 95% CI, [2.1-3.5]). The odds of death, adjusted for ASA, Fried Frailty, and covariates, were 3.6 times higher for those in the moderate/severe anemic group compared to those who were not anemic (OR, 3.6, 95% CI, [2.7-4.9]). In this first medicine study, we established relationships among anemia, preoperative markers of frailty and cognition, and chronic disease states in a large cohort of older patients undergoing elective surgery in a large tertiary medical center. We found that anemia, cognitive vulnerability, and chronic health disease states predicted death within 1 year of surgery, and that these preoperative factors negatively contribute to surgical outcomes such as time in the ICU, length of hospital stay, nonhome discharge, and 1-year mortality. The World Health Organization (WHO) and many academic medical societies have urged the adoption of patient blood management (PBM) disciplines, yet anemia is not routinely optimized as a preoperative risk factor. Given the well-defined association between preoperative anemia and postoperative morbidity and mortality, performing elective surgery on an untreated anemic patient should be considered substandard care. With established safe and effective treatment regimens, iron deficiency anemia is a modifiable preoperative risk factor that should be addressed before elective surgery.

Associations between domains of sedentary behavior, well-being, and quality of life – a cross-sectional study

The importance of reducing sedentary behavior (SB) in the prevention of mortality and chronic and mental diseases is scientifically well grounded, but SB can be accumulated in diverse domains of life, such as leisure-time SB, transport between home/work/school when sitting (transport-related SB), or in occupational settings such as working or studying (occupational SB), and the associations for each domain of SB with well-being measures and quality of life are still underexplored from a positive perspective. Through a cross-sectional investigation, we collected data from 584 participants who completed a questionnaire throughout November 2021 and with Spearman correlation test, analysed the associations between SB in three different domains with psychological well-being, satisfaction with life, and quality of life. Our results indicated that after adjustment for physical activity, sex, body mass index, smoking history, chronic disease status, financial perception, quality/duration of sleep and university group, in younger adults (18 to 24 years old), leisure-time SB was negatively related to psychological well-being (rho = -0.255; p = 0.008), and in adults (25 to 64 years old), occupational SB was negatively related to satisfaction with life (rho = -0.257; p < .001) and the mental component of quality of life (rho = -0.163; p = 0.027). Our findings highlight the idea that not all SB is built the same and that future strategies to reduce SB from people’s lives must target specific domains of SB according to the age group when aiming to improve well-being and quality of life.

Predictors of paroxysmal atrial fibrillation in patients with a cryptogenic stroke: Selecting patients for long-term rhythm monitoring

BackgroundAfter a cryptogenic stroke, patients often will require prolonged cardiac monitoring; however, the subset of patients who would benefit from long-term rhythm monitoring is not clearly defined. ObjectiveThe purpose of this study was to create a risk score by identifying significant predictors of atrial fibrillation (AF) using age, sex, comorbidities, baseline 12-lead electrocardiogram, short-term rhythm monitoring, and echocardiographic data and to compare it to previously published risk scores. MethodsPatients admitted to Montefiore Medical Center between May 2017 and June 2022 with a primary diagnosis of cryptogenic stroke or transient ischemic attack who underwent long-term rhythm monitoring with an implantable cardiac monitor were retrospectively analyzed. ResultsVariables positively associated with a diagnosis of clinically significant AF include age (P <.001), race (P = .022), diabetes status (P = .026), chronic obstructive pulmonary disease status (P = .012), presence of atrial runs (P = .003), number of atrial runs per 24 hours (P <.001), total number of atrial run beats per 24 hours (P <.001), number of beats in the longest atrial run (P <.001), left atrial enlargement (P = .007), and at least mild mitral regurgitation (P = .009). We created a risk stratification score for our population, termed the ACL score. The ACL score demonstrated superiority to the CHA2DS2-VASc score and comparability to the C2HEST score for predicting device-detected AF. ConclusionThe ACL score enables clinicians to better predict which patients are more likely to be diagnosed with device-detected AF after a cryptogenic stroke.

Time Series Analysis: Associations Between Temperature and Primary Care Utilization in Philadelphia, Pennsylvania

IntroductionEarth's temperature has risen by an average of 0.11°Fahrenheit per decade since 1850 and experts predict continued global warming. Studies have shown that exposure to extreme temperatures is associated with adverse health outcomes. Missed primary care visits can lead to incomplete preventive health screenings and unmanaged chronic diseases. This study examines the associations between extreme temperature conditions and primary care utilization among adult Philadelphians. Methods1,048,575 appointments from 91,580 patients age ≥ 18 years enrolled in the study at thirteen university-based outpatient clinics in Philadelphia from January 1, 2009, to December 31, 2019. Statistical analysis was performed from June to December 2023. Data on attended and missed appointments was linked with measures of daily maximum temperature and precipitation, stratified by warm and cold seasons. Sociodemographic variables and associations with chronic disease status were explored. ResultsRates of missed appointments increased by 0.72% for every 1°F decrease in daily maximum temperatures below 39°F and increased by 0.64% for every 1°F increase above 89°F. Individuals≥65 years and those with chronic conditions had stronger associations with an increased rate of missed appointments. ConclusionsTemperature extremes were associated with higher rates of missed primary care appointments. Individuals with chronic diseases were more likely to have missed appointments associated with extreme temperatures. The findings suggest the need for primary care physicians to explore different modes of care delivery to support vulnerable populations, such as making telemedicine during extreme weather events a viable and affordable option.

Socioeconomic Status and Clinical Outcomes in Chronic Kidney Disease: Bootstrap Validation of a Simple Indicator.

Background: Chronic Kidney Disease (CKD) is a complex health condition that interacts significantly with socioeconomic determinants, particularly income status and education. This study developed a simple indicator of socioeconomic status (SES), which is composed of income status and education in CKD patients, and evaluated its impact on health outcomes in this population. Methods: This study was conducted on 561 CKD patients, stages 2-5. The composite SES score was developed by combining the regression coefficients of income and education as predictors of the study endpoint in a multivariable Cox model, normalizing these coefficients to derive weights, and then using these weights to calculate an individual percentage score based on each person's income and education. The composed SES indicator was internally validated through bootstrap analysis. Over a median follow-up time of 36 months, we tracked all-cause death and non-fatal cardiovascular events. Results: Both lack of income (p = 0.020) and low educational level (p = 0.034) were independently related to the combined endpoint. Based on these covariates' regression coefficients, a composite socioeconomic score considering income and educational level was generated. In a Cox regression model, a 10% increase in this composite risk score entailed a 25% increase in the hazard ratio (HR) of the combined endpoint [HR (10% increase): 1.25], and the internally validated 95% CI ranged from 1.14 to 1.41 (p < 0.001). Conclusions: This study underscores the significant impact of a simple, bootstrap-validated composite SES indicator on CKD patients' health outcomes. These findings highlight the importance of considering education and socioeconomic factors in managing and treating CKD patients and inform future research and policy considerations for this population.

The relationship between healthcare access and change in health-related quality-of-life among the general population of five countries during the COVID-19 pandemic

PurposeTo determine whether (1) healthcare access at onset of the pandemic and (2) age, gender, socioeconomic status (SES), and pre-existing health status were associated with change in health-related quality-of-life (HRQoL) during the COVID-19 pandemic. The study includes a general population sample of five countries.MethodsAn online questionnaire was administered to respondents from Greece, Italy, the Netherlands, the UK, and the US at the onset of the COVID-19 pandemic between April 22nd and May 5th of 2020, and 1 year later between May 23rd and June 29th of 2021. The questionnaire included questions on demographic background, health status, and HRQoL. The primary outcome was change in HRQoL as measured by the EQ-5D-5L instrument. Specifically, the EQ-5D-5L index and EQ VAS were used. Healthcare access was quantified with regard to the respondent’s ease of getting an appointment, waiting time, and opportunity to contact the provider and during analysis dichotomized into “sufficient” versus “insufficient”. Linear regression analysis was performed with change in HRQoL as dependent variable and background variables as independent variables.ResultsIn total, 6,765 respondents completed the second questionnaire. 19.8% of total respondents reported insufficient healthcare access. Respondents with insufficient healthcare had both more improved and deteriorated HRQoL compared to respondents with sufficient healthcare, whose HRQoL remained unchanged. We did not find significant interactions between age, gender, SES and/or chronic disease status with healthcare access at onset of the COVID-19 pandemic.ConclusionHealthcare access was not associated with cumulative differences in change in HRQoL over a 1-year period in strata of age, gender, SES, and chronic disease status.