Risk of Cardiovascular Events Associated with Chronic Obstructive Pulmonary Disease and/or Metabolic Syndrome: A Large-Scale Nationwide Population-Based Cohort Study.

Purpose: Chronic obstructive pulmonary disease (COPD) and metabolic syndrome (MetS) are among the most prevalent conditions that might predispose individuals to life-threatening events. We aimed to examine their associations with cardiovascular (CV) events and mortality using a large-scale population dataset from the National Health Information Database in Korea. Patients and Methods: This population-based cohort study enrolled adults aged ≥40 years who had undergone more than two health examinations between 2009 and 2011. They were divided into four groups based on the presence of COPD and MetS. Analysis of the outcomes and CV events or deaths was performed from 2014 to 2019. We compared CV event incidence and mortality rates using a multivariate Cox proportional hazards model and Kaplan-Meier curves. Results: Totally, 5,101,810 individuals were included, among whom 3,738,458 (73.3%) had neither COPD nor MetS, 1,193,014 (23.4%) had only MetS, 125,976 (2.5%) had only COPD, and 44,362 (0.9%) had both. The risk of CV events was significantly higher in individuals with both COPD and MetS than in those with either COPD or MetS alone (HRs: 2.4 vs 1.6 and 1.8, respectively; all P <0.001). Similarly, among those with both COPD and MetS, all-cause and CV mortality risks were also elevated (HRs, 2.9 and 3.0, respectively) compared to the risks in those with either COPD (HRs, 2.6 and 2.1, respectively) or MetS (HRs, 1.7 and 2.1, respectively; all P <0.001). Conclusion: The comorbidity of MetS in patients with COPD increases the incidence of CV events and all-cause and cardiovascular mortality rates.

Lower Income, Smoking, Cardiopulmonary Comorbidities, and Higher Symptom Burden Influence the Occurrence of Cough in Patients Receiving Chemotherapy.

OBJECTIVES: To identify subgroups of patients with distinct cough occurrence profiles and evaluate for differences among these subgroups. SAMPLE & SETTING: Outpatients receiving chemotherapy (N = 1,338) completed questionnaires six times over two chemotherapy cycles. METHODS & VARIABLES: Occurrence of cough was assessed using the Memorial Symptom Assessment Scale. Latent class analysis was used to identify subgroups with distinct cough occurrence profiles. Parametric and nonparametric tests were used to evaluate for differences. RESULTS: Four distinct cough profiles were identified (None, Decreasing, Increasing, and High). Risk factors associated with membership in the High class included lower annual household income; history of smoking; self-reported diagnoses of lung disease, heart disease, and back pain; and having lung cancer. IMPLICATIONS FOR NURSING: Clinicians need to assess all patients with cancer for cough and provide targeted interventions.

Borderline Personality Disorder and Eating Disorders: Investigating the Role of Emotion Regulation.

Objective: Borderline personality disorder (BPD) and eating disorders (EDs) both cause significant distress and co-occur at rates higher than expected, signifying potential overlapping regulatory mechanisms between both disorders. More specifically, both disorders involve emotion regulation deficits, suggesting they may share specific maladaptive regulatory components. The present study sought to examine the predictive role of emotion dysregulation within the comorbidity between EDs and BPD.Methods: A sample of psychiatric outpatients (N = 872) collected from a longitudinal study spanning the mid-1990s to 2015 completed the Structured Clinical Interview for DSM-IV for Axis I Disorders as well as a measure of emotion regulation strategies, the Difficulties in Emotion Regulation Scale, in order to assess overall functioning.Results: In a regression analysis, BPD was significantly predicted by emotion regulation deficits and was strongly related to categories of emotion dysregulation. EDs were not significantly predicted by emotion regulation deficits but did predict BPD diagnoses (B = -0.14, P < .001). Overall, BPD demonstrated strong relationships to emotion regulation deficits.Conclusions: Results indicate that targeted treatment focusing on emotion regulation deficits may be particularly indicated with co-occurring BPD and ED diagnoses.

MORTALITY RISK ASSESSMENT AMONG PATIENTS, HOSPITALIZED FOR COVID-19.

In Georgia, the number of confirmed cases of Coronavirus were 1,85,5289. Among them, 17 132 patients died. Information on risk factors for mortality is insufficient. The purpose of our research is to evaluate clinical features of heavy patients with severe COVID and determine prognostic factors of outcome. Factors associated with critical COVID-19 included older age and certain chronic medical conditions. The clinical material of 250 chronically ill COVID-19 patients admitted to the intensive care unit was retrospectively studied. We divided the patients into two groups. The dead and the survivors. Demographic data, comorbidities, chronic diseases, results of ultrasound, cardiography, computed tomography and laboratory characteristics were studied. In patients with chronic diseases, in the intensive care unit during COVID-19, the relative chance of survival decreases: CRP3 - OR=0.98(95% CI:0.97-0.99Hydrothorax- OR=0.24(95% CI:0.06-0.95); Sepsis/Septic shock - OR=0.07(95% CI:0.01-0.39); WBC - OR=0.86(95% CI:0.74-0.99); Mechanical lung ventilation - OR=0.01(95% CI:0.00-0.05)); increase survival relative chance- pO2 - OR=1.03(95% CI:1.0-1.06). Predictors of mortality in patients with chronic diseases: coagulation characteristics, inflammatory markers, sepsis, and artificial lung ventilation. Risk factors for covid-19 mortality need to be studied to increase pandemic preparedness.

Interaction effects between sleep-related disorders and depression on hypertension among adults: a cross-sectional study.

BACKGROUND: Hypertension, sleep disorders, and depression represent notable public health issues, and their interconnected nature has long been acknowledged. The objective of this study is to explore the interplay between sleep disorders and depression in the context of hypertension. METHODS: This cross-sectional study involved 42,143 participants aged 18 and above from the NHANES database across seven survey cycles between 2005 and 2018. After excluding those with missing data on depression, sleep disorders, and hypertension, as well as incomplete main variables, 33,383 participants remained. We used weighted logistic regression to examine the relationship between sleep disorders, depression, and hypertension. Additionally, we assessed the interaction between sleep disorders and depression on hypertension using both multiplicative and additive approaches to quantify their combined effect. RESULTS: Compared to individuals without sleep disorders, those with sleep disorders have an increased risk of hypertension (OR = 1.51, 95% CI: 1.37-1.67). Furthermore, individuals with depression experience a significantly higher risk of hypertension compared to those with sleep disorders alone (OR = 2.34, 95% CI: 1.95-2.80). Our study reveals a positive interaction between sleep disorders and depression in relation to hypertension risk (OR = 1.07, 95% CI: 1.02-1.13). In addition, we observed the quantitative additive interaction indicators (RERI = 0.73, 95% CI: 0.56 ~ 0.92; API = 0.31, 95% CI: 0.11 ~ 0.46; SI = 2.19, 95% CI: 1.08-3.46) influencing hypertension risk. Furthermore, our research also identified that individuals with less than 7 h of sleep, a sleep latency period between 5 and 30 min, or a latency period exceeding 30 min experience a significantly increased risk of hypertension. CONCLUSIONS: Our research uncovered separate links between sleep disorders, depression, and hypertension prevalence. Moreover, we identified an interaction between depression and sleep disorders in hypertension prevalence. Enhancing mental well-being and tackling sleep disorders could help prevent and manage hypertension. Yet, more investigation is required to establish causation and clarify mechanisms.

Prevalence of clinical characteristics of lipodystrophy in the US adult population in a healthcare claims database.

BACKGROUND: Lipodystrophy is characterized by progressive loss of adipose tissue and consequential metabolic abnormalities. With new treatments emerging for lipodystrophy, there is a growing need to understand the prevalence of specific comorbidities that may be commonly associated with lipodystrophy to contextualize the natural history of lipodystrophy without any disease modifying therapy. OBJECTIVE: To examine the risk of specific clinical characteristics in people living with lipodystrophy (LD) in 2018-2019 compared with the general US population, among the commercially insured US population. METHODS: A retrospective cohort study was conducted using the 2018-2019 Clinformatics® Data Mart database. An adult LD cohort (age ≥ 18 years) with at least ≥ 1 inpatient or ≥ 2 outpatient LD diagnoses was created. The LD cohort included non-HIV-associated LD (non-HIV-LD) and HIV-associated LD (HIV-LD) subgroups and compared against age- and sex-matched control groups with a 1:4 ratio from the general population with neither an LD or an HIV diagnosis using odds ratios (ORs) with 95% confidence intervals. RESULTS: We identified 546 individuals with non-HIV-LD (mean age, 60.3 ± 14.9 years; female, 67.6%) and 334 individuals with HIV-LD (mean age, 59.2 ± 8.3 years; female, 15.0%) in 2018-2019. Compared with the general population, individuals with non-HIV-LD had higher risks (odds ratio [95% confidence interval]) for hyperlipidemia (3.32 [2.71-4.09]), hypertension (3.58 [2.89-4.44]), diabetes mellitus (4.72 [3.85-5.79]), kidney disease (2.78 [2.19-3.53]), liver fibrosis or cirrhosis (4.06 [1.66-9.95]), cancer (2.20 [1.59-3.01]), and serious infections resulting in hospitalization (3.00 [2.19-4.10]). Compared with individuals with HIV, those with HIV-LD have higher odds of hypertension (1.47 [1.13-1.92]), hyperlipidemia (2.46 [1.86-3.28]), and diabetes (1.37 [1.04-1.79]). CONCLUSIONS: LD imposes a substantial burden on affected individuals due to a high prevalence of metabolic comorbidities and other complications as compared with the general non-LD population. Future longitudinal follow-up studies investigating the causality between LD and observed comorbidities are warranted.

Dementia, comorbidity and multimorbidity.

Many people living with dementia will also have multimorbidity comprising several other intercurrent, long-term and comorbid conditions. This article examines the relationship between such conditions in the context of dementia, giving an overview of the literature, including prevalence and some of the common conditions that can coexist with dementia. The theory and evidence-base will be tied together using a case study approach, to illustrate the complexity of managing comorbid conditions and multimorbidity alongside dementia, and explore some of the approaches that can be used by community nurses to support the overall health of people living with dementia that they work with.

Persistent effectiveness of CGRP antibody therapy in migraine and comorbid medication overuse or medication overuse headache - a retrospective real-world analysis.

BACKGROUND: Management of patients with migraine who have concomitant medication overuse (MO) or medication overuse headache (MOH) is a major problem in clinical practice. Detoxification of acute analgesics before or during initiation of prophylactic therapy has long been recommended although this concept has recently been questioned. Additionally, relapse after detoxification is a common problem. This real-world study analyses the initial and sustained effectiveness of prophylactic migraine therapy with CGRP (receptor) antibodies without prior detoxification in patients with comorbid MO or MOH for up to one year. METHODS: A retrospective real-world analysis was performed on 291 patients (episodic migraine (EM) with MO (EM-MO; n = 35), EM without MO (EM-noMO; n = 77), chronic migraine (CM) with MOH (CM-MOH; n = 109), CM without MOH (CM-noMOH; n = 70). All patients began treatment with either erenumab (n = 173), fremanezumab (n = 70) or galcanezumab (n = 48) without prior detoxification. Data were available for up to 12 months of treatment. Responder rates for monthly headache days (MHD), monthly migraine days (MMD) and monthly acute medication intake (AMD) were analysed. RESULTS: All groups showed a significant reduction in MHD, MMD and AMD at the last observed time point compared to baseline. In patients with CM and MOH, 60.6% (66/109) no longer fulfilled the definition of MO or MOH and a further 13.8% (15/109) had only EM-MO. In the EM cohort, 89% (31/35) of MO patients lost their MO during therapy. MHD and AMD 30% responder rates were comparable for CM-MOH and CM-noMOH (MHD: CM-MOH: 56.0% vs. CM-noMOH: 41.4%, p = 0.058, AMD: CM-MOH: 66.1% vs. CM-noMOH: 52.9%, p = 0.077). MMD responder rate did not differ significantly (after Bonferroni adjustment) (CM-MOH: 62.4% vs. CM-noMOH: 47.1%, p = 0.045, α = 0.017). After successful initiation of therapy, 15.4% of the initial CM-MOH patients relapsed and met the criterion for CM-MOH at the end of follow-up. There were no antibody specific differences in response to therapy. CONCLUSIONS: Our data confirms the effectiveness of CGRP antibody treatment in migraine patients with additional MOH or MO in a real-world setting. Low relapse rates after initial successful therapy support an early start of CGRP antibody treatment in patients with MOH or MO. TRIAL REGISTRATION: No registration, retrospective analysis.

Phenogrouping heart failure with preserved or mildly reduced ejection fraction using electronic health record data.

BACKGROUND: Heart failure (HF) with preserved or mildly reduced ejection fraction includes a heterogenous group of patients. Reclassification into distinct phenogroups to enable targeted interventions is a priority. This study aimed to identify distinct phenogroups, and compare phenogroup characteristics and outcomes, from electronic health record data. METHODS: 2,187 patients admitted to five UK hospitals with a diagnosis of HF and a left ventricular ejection fraction ≥ 40% were identified from the NIHR Health Informatics Collaborative database. Partition-based, model-based, and density-based machine learning clustering techniques were applied. Cox Proportional Hazards and Fine-Gray competing risks models were used to compare outcomes (all-cause mortality and hospitalisation for HF) across phenogroups. RESULTS: Three phenogroups were identified: (1) Younger, predominantly female patients with high prevalence of cardiometabolic and coronary disease; (2) More frail patients, with higher rates of lung disease and atrial fibrillation; (3) Patients characterised by systemic inflammation and high rates of diabetes and renal dysfunction. Survival profiles were distinct, with an increasing risk of all-cause mortality from phenogroups 1 to 3 (p < 0.001). Phenogroup membership significantly improved survival prediction compared to conventional factors. Phenogroups were not predictive of hospitalisation for HF. CONCLUSIONS: Applying unsupervised machine learning to routinely collected electronic health record data identified phenogroups with distinct clinical characteristics and unique survival profiles.

Survival outcomes after breast cancer surgery among older women with early invasive breast cancer in England: population-based cohort study.

BACKGROUND: This study assessed the influence of age, co-morbidity and frailty on 5-year survival outcomes after breast conservation surgery (BCS) with radiotherapy (RT) versus mastectomy (with or without RT) in women with early invasive breast cancer. METHODS: Women aged over 50 years with early invasive breast cancer diagnosed in England (2014-2019) who had breast surgery were identified from Cancer Registry data. Survival estimates were calculated from a flexible parametric survival model. A competing risk approach was used for breast cancer-specific survival (BCSS). Standardized survival probabilities and cumulative incidence functions for breast cancer death were calculated for each treatment by age. RESULTS: Among 101 654 women, 72.2% received BCS + RT and 27.8% received mastectomy. Age, co-morbidity and frailty were associated with overall survival (OS), but only age and co-morbidity were associated with BCSS. Survival probabilities for OS were greater for BCS + RT (90.3%) versus mastectomy (87.0%), and the difference between treatments varied by age (50 years: 1.9% versus 80 years: 6.5%). Cumulative incidence functions for breast cancer death were higher after mastectomy (5.1%) versus BCS + RT (3.9%), but there was little change in the difference by age (50 years: 0.9% versus 80 years: 1.2%). The results highlight the change in baseline mortality risk by age for OS compared to the stable baseline for BCSS. CONCLUSION: For OS, the difference in survival probabilities for BCS + RT and mastectomy increased slightly with age. The difference in cumulative incidence functions for breast cancer death by surgery type was small regardless of age. Evidence on real-world survival outcomes among older populations with breast cancer is informative for treatment decision-making.

Impact Of Comorbidities On Outcomes And Healthcare Costs Of Open Inguinal Hernia Repair In Patients With Diabetes Mellitus.

INTRODUCTION: Inguinal hernia management in patients with diabetes mellitus (DM) and comorbidities presents challenges due to potential impacts on wound healing and infection risk. This study evaluates the influence of additional comorbidities on outcomes following open inguinal hernia repair in DM patients. MATERIAL AND METHODS: A retrospective cohort study was conducted at Craiova Emergency Clinical County Hospital from 2015 to 2020. Patients with documented DM undergoing hernia repair were categorized into two groups based on comorbidity status. Data on presentation mode, hernia type, comorbidities, hospitalization, operative details, postoperative outcomes, and costs were collected and analyzed statistically. RESULTS: Among 38 DM patients undergoing hernia repair, 16 were in Group A (DM alone) and 22 in Group B (DM with comorbidities). Group B patients were older (p = 0.0002) and more likely to present emergently (OR: 13.81, p=0.0148) with incarcerated (OR: 22.733, p=0.0339) or strangulated hernias (OR: 9.4545, p=0.0390). Group B had longer hospitalizations (p=0.00132) and higher hospitalization costs (p = 0.00262). CONCLUSIONS: DM patients with comorbidities are at higher risk for complex hernias and prolonged hospitalizations. Pulmonary fibrosis emerges as a significant comorbidity requiring specific perioperative strategies. Tailored preoperative assessments and care plans can optimize outcomes.

[Obesity and kidney disease]. / Adipositas und Nierenerkrankungen.

INTRODUCTION: The obesity epidemic has led to an increased prevalence of obesity-related glomerulopathy (ORG). This disease is characte-rized by proteinuria, glomerulomegaly, progressive glomerulosclerosis and a decline in renal function. Individuals with obesity frequently display arterial hypertension and diabetes mellitus, exacerbating renal damage. The pathogenesis involves overactivation of the RAAS (Renin-Angiotensin-Aldosterone System), glomerular hyperfiltration, an inflammatory state with oxidative stress, hyperinsulinemia-induced hemodynamic alterations and lipotoxicity. Additionally, obesity represents a significant risk factor for kidney stone formation, further contributing to renal damage. The management of obesity-induced nephropathy primarily involves weight reduction strategies and optimized control of blood pressure and metabolic factors. Early detection is crucial to counteract the progression of kidney disease. Noteworthy, obesity significantly complicates the implementation of renal replacement procedures, including kidney transplantation, and increases the rate of complications. In summary, there are many reasons why obesity should gain attention in the field of nephrology.

Antimicrobial use practices in canine and feline patients with co-morbidities undergoing dental procedures in primary care practices in the US.

This study aimed to investigate how the presence of co-morbid conditions influenced antimicrobial usage as presumptive prophylaxis for suspected bacteremia in dogs and cats undergoing dental treatments at primary care veterinary clinics in the United States. In 2020, data was collected from 1076 veterinary clinics across 44 US states. A total of 681,541 general anesthesia dental procedures were conducted on 592,472 dogs and 89,069 cats. This revealed that systemic antimicrobials were administered in 8.8% of dog procedures and 7.8% of cat procedures in the absence of concurrent periodontal disease or extractions. Cefpodoxime, clindamycin, and amoxicillin-clavulanate were the most frequently used antimicrobials in dogs, while cefovecin, amoxicillin-clavulanate, and clindamycin topped the list for cats. Dogs with cardiovascular, hepato-renal, and endocrine co-morbidities, as well as those undergoing concurrent removal of cutaneous or subcutaneous neoplasia, displayed higher antimicrobial use. Similarly, cats with endocrine or hepato-renal disease, retroviral infection (i.e., feline leukemia virus (FeLV), feline immunodeficiency virus (FIV)), and concurrent removal of cutaneous or subcutaneous neoplasia exhibited increased antimicrobial use. Dogs with hepato-renal abnormalities had longer treatment durations compared to those without (10.1 vs. 9.6 days). Conversely, cats with concurrent removal of cutaneous or subcutaneous neoplasia had shorter durations of treatment as compared to those that did not have this procedure performed (8.4 vs 9.2 days). The findings of this study underscore the necessity for further research and collaboration within the veterinary community to develop evidence-based guidelines, promoting responsible antimicrobial use, and advancing the field of veterinary dentistry for enhanced patient outcomes.

Primary Total Knee and Total Hip Arthroplasty in the Rural Patient.

Rural patients have poorer health indicators, including higher risk of developing osteoarthritis. The objective of this study is to compare rural patients undergoing primary total joint arthroplasty (TJA) at rural hospitals with those undergoing primary TJA at urban hospitals with regards to demographics, comorbidities, and complications and to determine the preferred location of care for rural patients. Data from the Healthcare Cost and Utilization Project National Inpatient Sample between 2016 and 2018 were analyzed. Demographics, comorbidities, inpatient complications, hospital length of stay, inpatient mortality, and discharge disposition were compared between rural patients who underwent TJA at rural hospitals and urban hospitals. Rural patients undergoing primary TJA in rural hospitals were more likely to be women, to be treated in the South, to have Medicaid payer status, to have dementia, diabetes mellitus, lung disease, and postoperative pulmonary complications, and to have a longer hospital length of stay. Those patients were also less likely to have baseline obesity, heart disease, kidney disease, liver disease, cancer, postoperative infection, and cardiovascular complications, and were less likely to be discharged home. Rural patients undergoing primary TJA tend to pursue surgery in their rural hospital when their comorbidity profile is manageable. These patients get their surgery performed in an urban setting when they have the means for travel and cost, and when their comorbidity profile is more complicated, requiring more specialized care, Rural patients are choosing to undergo their primary TJA in urban hospitals as opposed to their local rural hospitals. (Journal of Surgical Orthopaedic Advances 33(2):061-067, 2024).

Age, comorbidity burden and late presentation are significant predictors of hospitalization length and acute respiratory failure in patients with influenza.

Influenza viruses are responsible for a high number of infections and hospitalizations every year. In this study, we aimed to identify clinical and host-specific factors that influence the duration of hospitalization and the progression to acute respiratory failure (ARF) in influenza. We performed an analysis of data from a prospective active influenza surveillance study that was conducted over five seasons (2018/19 to 2022/23). A total of 1402 patients with influenza were included in the analysis, the majority of which (64.5%) were children (under 18 years), and 9.1% were elderly. At least one chronic condition was present in 29.2% of patients, and 9.9% of patients developed ARF. The median hospital stay was 4 days (IQR: 3, 6 days). The most important predictors of prolonged hospital stay and development of ARF were extremes of age (infants and elderly), presence of chronic diseases, particularly the cumulus of at least 3 chronic diseases, and late presentation to hospital. Among the chronic diseases, chronic obstructive pulmonary disease, cardiovascular disease, cancer, diabetes, obesity, and chronic kidney disease were strongly associated with a longer duration of hospitalization and occurrence of ARF. In this context, interventions aimed at chronic disease management, promoting influenza vaccination, and improving awareness and access to health services may contribute to reducing the impact of influenza not only in Romania but globally. In addition, continued monitoring of the circulation of influenza viruses is essential to limit their spread among vulnerable populations.

Clinical, epidemiological characteristics and mortality of pregnant and postpartum women associated with COVID-19 in Brazil: cohort study.

Objective: To analyze the death of Brazilian pregnant and postpartum women due to COVID-19 or unspecific cause. Methods: This is retrospective, descriptive-exploratory, population-based study carried out with the Sistema de Informação de Vigilância Epidemiológica da Gripe (SIVEP-Gripe) database, with pregnant and postpartum women of reproductive age who died from confirmed COVID-19 between 2020 and 2021. The chosen variables were: age, gestational period, type and number of comorbidities, skin color, using the statistical software R Foundation for Statistical Computing Platform, version 4.0.3 and Statistical Package for Social Science, version 29.0 for analysis. Results: A total of 19,333 cases of pregnant and postpartum women aged between 10 and 55 years diagnosed with SARS were identified, whether due to confirmed COVID-19 or unspecific causes. Of these, 1,279 died, these cases were classified into two groups according to the cause of death: deaths from COVID-19 (n= 1,026) and deaths from SARS of unspecific cause (n= 253). Conclusion: The risk of death increased among black and brown women, in the postpartum period and with the presence of comorbidities, mainly diabetes, cardiovascular diseases and obesity. The data presented here draw attention to the number of deaths from SARS, especially among sociodemographic profiles, precarious access to health, such as the black population. In addition, limitations in adequate access to health care are reinforced by even lower rates of ICU admissions among women who died from SARS of an unspecified cause.

Swept up in the tsunami: Pediatric and adolescent steatotic (fatty) liver disease.

The worldwide epidemic of steatotic (fatty) liver disease also affects children and adolescents. The consensus statement by Zhang et al.1 summarizes key evidence on detection, risk factors, manifestations, comorbidities, and potential treatments in children and adolescents. The work emphasizes the need for advancements in managing this threat to the health and longevity of young individuals.

Coping strategies, challenges and potential interventions among adult patients with HIV and mental illness comorbidity in southwestern Uganda.

HIV and mental illness comorbidity presents significant healthcare challenges, especially in low- and middle-income countries where healthcare systems often address individual conditions rather than comorbidities. This results in poor coping, increased vulnerability and diminished health-related quality of life. This study investigated coping strategies, challenges and potential interventions for individuals with HIV-mental illness comorbidity in Southwestern Uganda. The study included purposively selected people with HIV and mental illnesses seeking care in health facilities across Southwestern Uganda. Data from in-depth, semi-structured interviews were transcribed verbatim and entered into ATLAS.ti-7 for analysis. Thematic analysis was employed, generating codes from the transcripts to develop themes. The data revealed three categories: coping strategies, challenges and potential interventions. Three key coping strategies emerged: conscious avoidance of emotional stressors, maintaining emotional stability through social interactions and reliance on prayer. Challenges included social isolation, financial crises, vulnerability to abuse and medication management issues. Respondents recommended scaling up mass educational programmes to increase awareness of causes, preventive measures and association between the two comorbidities, together with implementing financial aid initiatives as viable interventions. These findings highlight the importance of addressing comorbidities together for improved emotional stability and underscore the value of the proposed potential interventions for healthcare systems and policymakers.

Normative Cognitive Scores in Western India, Stratified by Age, Rurality, Cognitive Domains, and Psychiatric Comorbidity.

BACKGROUND AND OBJECTIVES: Indian ethnic and educational diversities necessitate obtaining normative cognitive data in different populations. We aimed to evaluate cognitive scores using a Marathi translation of the Kolkata cognitive battery (KCB) and to study the association of KCB components with depression and sociodemographic variables. MATERIALS AND METHODS: We studied 2,651 individuals aged ≥40 years without preexisting neuropsychiatric conditions from urban (Mumbai) and rural districts of Maharashtra. For each component of KCB, the lowest 10th percentile score was used to define cognitive impairment. RESULTS: We studied 1,435 (54%) rural and 1,216 (46%) urban residents equally divided by gender (1,316 women and 1,335 men), average age 54 years. KCB scores were significantly lower with female sex, older age, illiteracy, and depression. The largest effect sizes attributable to these factors were in the domains of calculation (gender), visuoconstructional ability (VCA) (rurality), and verbal fluency (VF) (depression). Scores remained significantly lower in rural residents after controlling for age, sex, and education, particularly for VCA, immediate recall, and calculation. CONCLUSION: This Marathi KCB, having been validated on large urban as well as rural samples, may be used to study cognition in Marathi-speaking populations with appropriate cutoffs tailored to the degree of urbanization of the population.