Preoperative Variables of 30-Day Mortality in Adults Undergoing Percutaneous Coronary Intervention: A Systematic Review.

BACKGROUND AND AIM: Risk adjustment following percutaneous coronary intervention (PCI) is vital for clinical quality registries, performance monitoring, and clinical decision-making. There remains significant variation in the accuracy and nature of risk adjustment models utilised in international PCI registries/databases. Therefore, the current systematic review aims to summarise preoperative variables associated with 30-day mortality among patients undergoing PCI, and the other methodologies used in risk adjustments. METHOD: The MEDLINE, EMBASE, CINAHL, and Web of Science databases until October 2022 without any language restriction were systematically searched to identify preoperative independent variables related to 30-day mortality following PCI. Information was systematically summarised in a descriptive manner following the Checklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies checklist. The quality and risk of bias of all included articles were assessed using the Prediction Model Risk Of Bias Assessment Tool. Two independent investigators took part in screening and quality assessment. RESULTS: The search yielded 2,941 studies, of which 42 articles were included in the final assessment. Logistic regression, Cox-proportional hazard model, and machine learning were utilised by 27 (64.3%), 14 (33.3%), and one (2.4%) article, respectively. A total of 74 independent preoperative variables were identified that were significantly associated with 30-day mortality following PCI. Variables that repeatedly used in various models were, but not limited to, age (n=36, 85.7%), renal disease (n=29, 69.0%), diabetes mellitus (n=17, 40.5%), cardiogenic shock (n=14, 33.3%), gender (n=14, 33.3%), ejection fraction (n=13, 30.9%), acute coronary syndrome (n=12, 28.6%), and heart failure (n=10, 23.8%). Nine (9; 21.4%) studies used missing values imputation, and 15 (35.7%) articles reported the model's performance (discrimination) with values ranging from 0.501 (95% confidence interval [CI] 0.472-0.530) to 0.928 (95% CI 0.900-0.956), and four studies (9.5%) validated the model on external/out-of-sample data. CONCLUSIONS: Risk adjustment models need further improvement in their quality through the inclusion of a parsimonious set of clinically relevant variables, appropriately handling missing values and model validation, and utilising machine learning methods.

Investigating the Association Between ABO Blood Groups and Rhesus Factors with Dengue and Chikungunya Virus Infections During the 2017 Outbreak in Bangladesh.

This retrospective study was conducted in 2017 during the dual dengue and chikungunya outbreak in Bangladesh. Febrile participants underwent blood tests for chikungunya, dengue, and ABO groups and rhesus (Rh) factors. Blood grouping information was gathered from healthy donors. Males and those aged between 18 and 49 years had a higher risk of contracting dengue and chikungunya. Blood group O exhibited the highest infection rates at ∼50%, whereas group AB had the lowest at ∼9% among the participants in the study. Yet, when considering the general population's blood group distribution, the combined odds of infection were 2.0, 3.5, and 1.4 times higher in groups B, O, and AB, respectively, than in group A. Infection rates were greater in Rh-negative people. Blood groups B, O, and AB showed higher susceptibility than blood group A according to adjusted odds ratios. Blood groups ABO and Rh factor hold significance in disease susceptibility and vaccine effectiveness. Keeping these implications in mind, further investigations are necessary to understand the mechanisms underlying these connections and their effects on the efficacy of dengue and chikungunya vaccines.

Survey response rates in health sciences education research: A 10-year meta-analysis.

Growth in the online survey market may be increasing response burden and possibly jeopardizing higher response rates. This meta-analysis evaluated survey trends over one decade (2011-2020) to determine: (1) changes in survey publication rates over time, (2) changes in response rates over time, (3) typical response rates within health sciences education research, (4) the factors influencing survey completion levels, and (5) common gaps in survey methods and outcomes reporting. Study I estimated survey publication trends between 2011 and 2020 using articles published in the top three health sciences education research journals. Study II searched the anatomical sciences education literature across six databases and extracted study/survey features and survey response rates. Time plots and a proportional meta-analysis were performed. Per 2926 research articles, the annual estimated proportion of studies with survey methodologies has remained constant, with no linear trend (p > 0.050) over time (Study I). Study II reported a pooled absolute response rate of 67% (95% CI = 63.9-69.0) across 360 studies (k), totaling 115,526 distributed surveys. Despite response rate oscillations over time, no significant linear trend (p = 0.995) was detected. Neither survey length, incentives, sponsorship, nor population type affected absolute response rates (p ≥ 0.070). Only 35% (120 of 339) of studies utilizing a Likert scale reported evidence of survey validity. Survey response rates and the prevalence of studies with survey methodologies have remained stable with no linear trends over time. We recommend researchers strive for a typical absolute response rate of 67% or higher and clearly document evidence of survey validity for empirical studies.

Challenges and Strategies in Conducting Population Health Research during the COVID-19 Pandemic: Experience from a Nationwide Mixed-Methods Study in Bangladesh.

Introduction: Globally, the coronavirus (COVID-19) pandemic poses fundamental challenges in everyday life. Various controlling measures, including nationwide lockdowns, movement restrictions, travel bans, social distancing, and improved hygiene practices, have been widely introduced to curtail transmission of the disease. Notably, these measures have affected the execution of population health research that typically involves face-to-face data collection. This paper details a subjective reflective account of the challenges and mitigating strategies in conducting a nationwide study during the COVID-19 pandemic in 2021. Challenges and strategies: The research team faced a wide range of challenges in conducting this study. The major categories of challenges were defined as follows: (i) challenges relating to the COVID-19 pandemic, such as insufficient access to field sites; (ii) challenges related to contextual factors, such as cultural and gender sensitivity and extreme weather events; and (iii) challenges related to data quality and validity. The key mitigating strategies to overcoming these challenges included engaging a local-level field supervisor, hiring data collectors from respective study sites, incorporating team members' reviews of literature and experts' views to develop research instruments, modifying original research instruments, organizing regular meetings and debriefing, adjusting field operation plans, building gender-sensitive teams, understanding local norms and adopting culturally appropriate dress codes, and conducting interviews in local languages. Conclusions: This paper concludes that despite several COVID-19-related challenges coupled with contextual factors, data were successfully collected through timely and successful adaptations of several mitigating strategies. The strategies adopted in this study may be useful for overcoming unforeseeable challenges in planning and conducting future population-based health research in similar circumstances elsewhere.

The capacity of primary healthcare facilities in Bangladesh to prevent and control non-communicable diseases.

BACKGROUND: The rapid rise of non-communicable diseases (NCDs) has become a significant public health concern in Bangladesh. This study assesses the readiness of primary healthcare facilities to manage the following NCDs: diabetes mellitus (DM), cervical cancer, chronic respiratory diseases (CRIs), and cardiovascular diseases (CVDs). METHODS: A cross-sectional survey was conducted between May 2021 and October 2021 among 126 public and private primary healthcare facilities (nine Upazila health complexes (UHCs), 36 union-level facilities (ULFs), 53 community clinics (CCs), and 28 private hospitals/clinics). The NCD-specific service readiness was assessed using the World Health Organization's (WHO) Service Availability and Readiness Assessment (SARA) reference manual. The facilities' readiness was assessed using the following four domains: guidelines and staff, basic equipment, diagnostic facility, and essential medicine. The mean readiness index (RI) score for each domain was calculated. Facilities with RI scores of above 70% were considered 'ready' to manage NCDs. RESULTS: The general services availability ranged between 47% for CCs and 83% for UHCs and the guidelines and staff accessibility were the highest for DM in the UHCs (72%); however, cervical cancer services were unavailable in the ULFs and CCs. The availability of basic equipment was the highest for cervical cancer (100%) in the UHCs and the lowest for DM (24%) in the ULFs. The essential medicine for CRI was 100% in both UHCs and ULFs compared to 25% in private facilities. The diagnostic capacity for CVD and essential medicine for cervical cancer was unavailable at all levels of public and private healthcare facilities. The overall mean RI for each of the four NCDs was below the cut-off value of 70%, with the highest (65%) for CRI in UHCs but unavailable for cervical cancer in CCs. CONCLUSION: All levels of primary healthcare facilities are currently not ready to manage NCDs. The notable deficits were the shortage of trained staff and guidelines, diagnostic facilities, and essential medicine. This study recommends increasing service availability to address the rising burden of NCDs at primary healthcare levels in Bangladesh.

High cereal fibre but not total fibre is associated with a lower risk of type 2 diabetes: Evidence from the Melbourne Collaborative Cohort Study.

AIM: To assess the associations of total dietary fibre and fibre from different food sources (ie, cereal, fruit and vegetables) with the risk of diabetes. MATERIALS AND METHODS: The Melbourne Collaborative Cohort Study enrolled 41 513 participants aged 40 to 69 years from 1990 to 1994. The first and second follow-ups were conducted in 1994 to 1998 and 2003 to 2007, respectively. Self-reported diabetes incidence was recorded at both follow-ups. We analysed data from 39 185 participants, with a mean follow-up of 13.8 years. The relationships between dietary fibre intake (total, fruit, vegetable and cereal fibre) and the incidence of diabetes were assessed using modified Poisson regression, adjusted for dietary, lifestyle, obesity, socioeconomic and other possible confounders. Fibre intake was categorized into quintiles. RESULTS: At total of 1989 incident cases were identified over both follow-up surveys. Total fibre intake was not associated with diabetes risk. Higher intake of cereal fibre (P for trend = 0.003), but not fruit (P for trend = 0.3) and vegetable fibre (P for trend = 0.5), was protective against diabetes. For cereal fibre, quintile 5 versus quintile 1 showed a 25% reduction in diabetes risk (incidence risk ratio [IRR] 0.75, 95% confidence interval [CI] 0.63-0.88). For fruit fibre, only quintile 2 versus quintile 1 showed a 16% risk reduction (IRR 0.84, 95% CI 0.73-0.96). Adjustment for body mass index (BMI) and waist-to-hip ratio eliminated the association and mediation analysis showed that BMI mediated 36% of the relationship between fibre and diabetes. CONCLUSION: Intake of cereal fibre and, to a lesser extent, fruit fibre, may reduce the risk of diabetes, while total fibre showed no association. Our data suggest that specific recommendations regarding dietary fibre intake may be needed to prevent diabetes.

A systematic review of dengue outbreak prediction models: Current scenario and future directions.

Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks often overwhelm the health system and result in huge morbidity and mortality in its endemic populations in the absence of an efficient warning system. A large number of prediction models are currently in use globally. As such, this study aimed to systematically review the published literature that used quantitative models to predict dengue outbreaks and provide insights about the current practices. A systematic search was undertaken, using the Ovid MEDLINE, EMBASE, Scopus and Web of Science databases for published citations, without time or geographical restrictions. Study selection, data extraction and management process were devised in accordance with the 'Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies' ('CHARMS') framework. A total of 99 models were included in the review from 64 studies. Most models sourced climate (94.7%) and climate change (77.8%) data from agency reports and only 59.6% of the models adjusted for reporting time lag. All included models used climate predictors; 70.7% of them were built with only climate factors. Climate factors were used in combination with climate change factors (13.4%), both climate change and demographic factors (3.1%), vector factors (6.3%), and demographic factors (5.2%). Machine learning techniques were used for 39.4% of the models. Of these, random forest (15.4%), neural networks (23.1%) and ensemble models (10.3%) were notable. Among the statistical (60.6%) models, linear regression (18.3%), Poisson regression (18.3%), generalized additive models (16.7%) and time series/autoregressive models (26.7%) were notable. Around 20.2% of the models reported no validation at all and only 5.2% reported external validation. The reporting of methodology and model performance measures were inadequate in many of the existing prediction models. This review collates plausible predictors and methodological approaches, which will contribute to robust modelling in diverse settings and populations.

Mindfulness for academic performance in health professions students: a systematic review.

OBJECTIVES: To systematically review the impact of mindfulness-based interventions (MBIs) on the academic performance of undergraduate medicine, nursing and allied health students. METHODS: Randomised controlled trials that examined the effects of MBIs in medicine, nursing and allied health students on academic performance were eligible for inclusion. Electronic database searches were conducted across Medline, Embase, Cochrane Central Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature (CINAHL Plus), PsycINFO and ERIC databases. Two authors independently reviewed citations, extracted data and assessed the quality of evidence using the Cochrane Collaboration's risk of bias tool. A descriptive analysis of included studies and a meta-analysis using a random-effects model of standardised mean difference were performed. RESULTS: A total of 267 studies were returned from the search, of which 2 met the inclusion criteria. The overall risk of bias was assessed as unclear risk of bias for one study and high risk of bias for second included study. A meta-analysis of MBIs on student academic performance as measured by marks in written examination indicated no statistical difference between interventions (Standardised Mean Difference (SMD)=0.43, 95% CI -1.77 to 2.62, I2=96%). DISCUSSION: Our systematic review highlights a lack of evidence to either support, or refute, the use of mindfulness interventions on the academic performance of undergraduate medical students. We encourage that future randomised controlled trials pay heed to the dosing of mindfulness and include a measurement of mindfulness to enable us to draw a clearer causal relationship.

Health system challenges and opportunities in organizing non-communicable diseases services delivery at primary healthcare level in Bangladesh: A qualitative study.

Introduction: The weak health system is viewed as a major systematic obstacle to address the rising burden of non-communicable diseases (NCDs) in resource-poor settings. There is little information about the health system challenges and opportunities in organizing NCD services. This study examined the health system challenges and opportunities in organizing NCD services for four major NCDs (cervical cancer, diabetes mellitus, cardiovascular diseases, and chronic respiratory illnesses) at the primary healthcare (PHC) level in Bangladesh. Methods: Using a qualitative method, data were collected from May to October 2021 by conducting 15 in-depth interviews with local healthcare providers, 14 key informant interviews with facility-based providers and managers, and 16 focus group discussions with community members. Based on a health system dynamics framework, data were analyzed thematically. Information gathered through the methods and sources was triangulated to validate the data. Results: Organization of NCD services at the PHC level was influenced by a wide range of health system factors, including the lack of using standard treatment guidelines and protocols, under-regulated informal and profit-based private healthcare sectors, poor health information system and record-keeping, and poor coordination across healthcare providers and platforms. Furthermore, the lack of functional referral services; inadequate medicine, diagnostic facilities, and logistics supply; and a large number of untrained human resources emerged as key weaknesses that affected the organization of NCD services. The availability of NCD-related policy documents, the vast network of healthcare infrastructure and frontline staff, and increased demand for NCD services were identified as the major opportunities. Conclusion: Despite the substantial potential, the health system challenge impeded the organization of NCD services delivery at the PHC level. This weakness needs be to addressed to organize quality NCD services to better respond to the rising burden of NCDs at the PHC level.

Diagnostic Accuracy of Transthoracic Echocardiography With Contrast for Detection of Right-to-Left Shunt: A Systematic Review and Meta-analysis.

BACKGROUND: The clinical utility of transthoracic echocardiography with contrast (TTE-C) for detection of right-to-left shunt (RLS) remains unknown. In this meta-analysis we evaluated the accuracy of TTE-C for RLS diagnosis compared with transesophageal echocardiography (TEE) as the reference standard. METHODS: A systematic review and meta-analysis was performed using a search of MEDLINE, EMBASE, PubMed, and Cochrane library databases. Studies that were included provided data to assess sensitivity and specificity of TTE-C compared with TEE for RLS detection. RESULTS: A total of 35 studies, involving 4209 patients, were analyzed. The average patient age was 49.1 ± 11.2 years and 53.9% were male. For RLS detection in the entire cohort, TTE-C sensitivity was 73% (95% confidence interval [CI], 66%-80%) and specificity was 94% (95% CI, 92%-96%). The sensitivity of TTE-C was 80% (95% CI, 74%-86%) in studies published in 2000 or later compared with 51% (95% CI, 36%-65%) in those published before 2000. In studies that used harmonic imaging, TTE-C sensitivity was 82% (95% CI, 77%-87%) and specificity was 95% (95% CI, 93%-97%). Among those with patent foramen ovale closure indications, TTE-C sensitivity was 74% (95% CI, 59%-89%) and specificity was 98% (95% CI, 95%-100%). In patients in whom RLS was diagnosed using a guideline-suggested 3 cardiac cycle cutoff, TTE-C sensitivity was 75% (95% CI, 66%-83%) and specificity was 94% (95% CI, 92%-97%). Provocative manoeuvres increased sensitivity by approximately 40%. CONCLUSIONS: TTE-C offers excellent specificity and moderate sensitivity for RLS diagnosis compared with TEE, and it might therefore serve as an initial screening modality for selected patients with a high likelihood of having RLS and for indications for treatment.

Factors Associated With Undergraduate Nursing Students' Academic and Clinical Performance: A Mixed-Methods Study.

BACKGROUND: There is conflicting and limited information regarding factors that influence undergraduate nursing students' academic and clinical performance prior to entry to practice. OBJECTIVE: To identify factors influencing the academic and clinical performance of undergraduate nursing students throughout the course. DESIGN: Mixed methods study utilizing a retrospective cohort and a qualitative study. SETTING: Monash University, Melbourne, Australia. PARTICIPANTS: Longitudinal existing data of nursing undergraduate students who commenced in 2017 (n = 176) and 2018 (n = 76), and two focus groups with final year nursing students were analyzed. METHODS: Retrospective students' records were used to determine the students' academic and clinical performance using the weighted average mark (WAM) of the theoretical and clinical components of the curriculum, separately. The WAM considered the year level of each unit and was scored out of 100. Multivariate linear regression was used to determine predictor factors of academic and clinical performance. Variables include entry cohort (with no previous nursing qualification vs. diploma of nursing), admission category (domestic vs. international), campus (metropolitan vs. outer metropolitan), and secondary school (year 12) results. Two focus group discussions were conducted and thematically analyzed. RESULTS: More than two-thirds of the students were aged 18-20 years and mainly female. Almost 20% of the participants were international students. Students with higher secondary school (year 12) results and studying at the outer metropolitan campus achieved a higher academic performance while international students had significantly lower academic performance compared to domestic students. Students with a previous diploma of enrolled nursing and international students had lower clinical performance. Students identified that a comprehensive orientation, interactive curriculum, formal and informal support structure, and educator qualities influenced their academic and/or clinical performance. CONCLUSIONS: A supportive educational environment with an interactive curriculum may enhance students' academic and clinical performance and readiness for practice. Furthermore, targeted interventions for international students, those with lower secondary school (year 12) results, and those with a former diploma of nursing may be required to increase academic and clinical performance.

Health system readiness for non-communicable diseases at the primary care level: a systematic review.

OBJECTIVE: To synthesise evidence on the primary healthcare system's readiness for preventing and managing non-communicable diseases (NCDs). DESIGN: Systematic review. DATA SOURCES: Ovid MEDLINE, EMBASE, CINAHL, PsycINFO and Scopus were searched from 1 January 1984 to 30 July 2021, with hand-searching references and expert advice. ELIGIBILITY CRITERIA: Any English-language health research with evidence of readiness/preparedness of the health system at the primary healthcare level in the context of four major NCDs: diabetes mellitus, cancer, chronic respiratory diseases (CRDs) and cardiovascular diseases (CVDs). DATA EXTRACTION AND SYNTHESIS: Two authors independently extracted data and assessed the bias. The full-text selected articles were then assessed using the Mixed Methods Appraisal Tool. Health system readiness was descriptively and thematically synthesised in line with the health system dynamics framework. RESULTS: Out of 7843 records, 23 papers were included in this review (15 quantitative, 3 qualitative and 5 mixed-method studies). The findings showed that existing literature predominantly examined health system readiness from the supply-side perspective as embedded in the WHO's health system framework. However, at the primary healthcare level, these components are insufficiently prepared for NCDs. Among NCDs, higher levels of readiness were reported for diabetes mellitus and hypertension in comparison to CRDs (asthma, chronic obstructive pulmonary disease), CVDs and cancer. There has been a dearth of research on the demand-side perspective, which is an essential component of a health system and must be addressed in the future research. CONCLUSION: The supply-side components at the primary healthcare level are inadequately ready to address the growing NCD burden. Improving supply-side factors, with a particular focus on CRDs, CVDs and cancer, and improving understanding of the demand-side components of the health system's readiness, may help to prevent and manage NCDs at the primary healthcare level.

Psychometric validation of diabetes distress scale in Bangladeshi population.

Diabetes Distress (DD)-an emotional or affective state arise from challenge of living with diabetes and the burden of self-care-negatively impact diabetes management and quality of life of T2DM patients. Early detection and management of DD is key to efficient T2DM management. The study aimed at developing a valid and reliable instrument for Bangladeshi patients as unavailability such a tool posing challenge in diabetes care. Linguistically adapted, widely used, 17-item Diabetes Distress Scale (DDS), developed through forward-backward translation from English to Bengali, was administered on 1184 T2DM patients, from four diabetes hospitals in Bangladesh. Psychometric assessment of the instrument included, construct validity using principal component factor analysis, internal consistency using Cronbach's α and discriminative validity through independent t-test and test-retest reliability using intraclass-correlation coefficient (ICC) and Kappa statistics. Factor analysis extracted 4 components similar to original DDS domains, confirms the construct validity. The scale demonstrated satisfactory internal consistency (α = 0.838), stability (test-retest ICC = 0.941) and good agreement across repeated measurements (Kappa = 0.584). Discriminative validity revealed that patients with complication (p < 0.001) and those are on insulin (p < 0.001) had significantly higher distress scores in all domains. Bengali version of DDS is a valid and reliable tool for assessing distress among Bangladeshi T2DM patients.

Neuroendocrine cells in prostate cancer correlate with poor outcomes: a systematic review and meta-analysis.

OBJECTIVES: To perform a systematic review and meta-analysis of the literature to understand the variation in the reporting of neuroendocrine staining and determine the influence of reporting neuroendocrine staining at diagnosis on patient outcomes. METHODS: Medical databases were searched to identify studies in which adenocarcinoma specimens were stained with any of the following four neuroendocrine markers: chromogranin A (CgA), neuron-specific enolase (NSE), synaptophysin and CD56. The prevalence of neuroendocrine staining and correlation of the prevalence of neuroendocrine staining to patient outcomes were analysed using a random-effects model. All statistical tests were two-sided. RESULTS: Sixty-two studies spanning 7616 patients were analysed. The pooled prevalence for the most common marker, CgA (41%), was similar to that of NSE (39%) and higher than that of synaptophysin (31%). The prevalence of CgA staining was significantly influenced by reporting criteria, where objective thresholds reduced the variation in prevalence to 26%. No correlation was found between CgA prevalence and tumour grade. Patients positive for CgA staining using objective criteria had more rapid biochemical progression (hazard ratio [HR] 1.98, 95% confidence interval [CI] 1.49 to 2.65) and poorer prostate cancer-specific survival (HR 7.03, 95% CI 2.55 to 19.39) compared to negative patients, even among those with low-risk cancers. CONCLUSION: Discrepancies in the reported prevalence of neuroendocrine cells in adenocarcinoma are driven by the inconsistent scoring criteria. This study unequivocally demonstrates that when neuroendocrine cell staining is assessed with objective criteria it identifies patients with poor clinical outcomes. Future studies are needed to determine the exact quantifiable thresholds for use in reporting neuroendocrine cell staining to identify patients at higher risk of progression.

Effect of maternal dietary niacin intake on congenital anomalies: a systematic review and meta-analysis.

PURPOSE: The significance of niacin in embryonic development has clinical implications in the counseling of pregnant women and may be used to inform nutrition recommendations. This study, therefore, aims to review the associations between maternal periconceptional niacin intake and congenital anomalies. METHODS: A systematic search of Ovid MEDLINE, ClinicalTrials.gov, AMED, CENTRAL, Emcare, EMBASE, Maternity & Infant Care and Google Scholar was conducted between inception and 30 September 2020. Medical subject heading terms included "nicotinic acids" and related metabolites, "congenital anomalies" and specific types of congenital anomalies. Included studies reported the association between maternal niacin intake and congenital anomalies in their offspring and reported the measure of association. Studies involved solely the women with co-morbidities, animal, in vitro and qualitative studies were excluded. The risk of bias of included studies was assessed using the Newcastle-Ottawa Scale (NOS). A random effects-restricted maximum likelihood model was used to obtain summary estimates, and multivariable meta-regression model was used to adjust study-level covariates. RESULTS: Of 21,908 retrieved citations, 14 case-control studies including 35,743 women met the inclusion criteria. Ten studies were conducted in the U.S, three in Netherlands and one in South Africa. The meta-analysis showed that expectant mothers with an insufficient niacin intake were significantly more likely to have babies with congenital abnormalities (odds ratio 1.13, 95% confidence interval 1.02-1.24) compared to mothers with adequate niacin intake. A similar association between niacin deficiency and congenital anomalies was observed (OR 1.15, 95% CI 1.03-1.26) when sensitivity analysis was conducted by quality of the included studies. Meta-regression showed neither statistically significant impact of study size (p = 0.859) nor time of niacin assessment (p = 0.127). The overall quality of evidence used is high-thirteen studies achieved a rating of six or seven stars out of a possible nine based on the NOS. CONCLUSION: Inadequate maternal niacin intake is associated with an increased risk of congenital anomalies in the offspring. These findings may have implications in dietary counseling and use of niacin supplementation during pregnancy.

Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance.

To estimate the age-standardized prevalence of diabetes and prediabetes and identify factors associated with these conditions at individual, household, and community levels. Data from 11952 Bangladeshi adults aged 18-95 years available from the most recent Bangladesh Demographic and Health Survey 2017-18 were used. Anthropometric measurements and fasting blood glucose samples were taken as part of the survey. Prevalence estimates of diabetes and prediabetes were age-standardized with direct standardization, and risk factors were identified using multilevel mix-effects Poisson regression models with robust variance. The overall age-standardised prevalence of diabetes was 9.2% (95%CI 8.7-9.7) (men: 8.8%, women: 9.6%), and prediabetes was 13.3% (95%CI 12.7-13.9) (men: 13.0%, women: 13.6%). Among people with diabetes, 61.5% were unaware that they had the condition. 35.2% took treatment regularly, and only 30.4% of them had controlled diabetes. Factors associated with an increased prevalence of having diabetes were increasing age, male, overweight/obesity, hypertension, being in the highest wealth quintile, and living in the Dhaka division. People currently employed and living in the Rangpur division were less likely to have diabetes than those currently not employed and living in the Barishal division. Diabetes and prediabetes affect a substantial proportion (over one-quarter) of the Bangladeshi adult population. Continuing surveillance and effective prevention and control measures, focusing on obesity reduction and hypertension management, are urgently needed.

Demographic differentials of lung cancer survival in Bangladeshi patients.

BACKGROUND: Lung cancer is the leading cause of cancer-related mortality worldwide. Demographic differential has been linked with the treatment outcome and survival in recent literature, mostly from the developed world. Considering diversity in population characteristics across income strata, it's worth assessing the link in low- and middle-income population as well. Current study aimed to assess the association of demographic characteristics with lung cancer survival in Bangladeshi lung cancer patients. METHODS & RESULTS: All newly diagnosed primary lung cancer cases attending the national institute of cancer research & Hospital (NICRH), a tertiary cancer care center in Dhaka, Bangladesh between 2018 and 2019 were considered for the study. Demographic information and clinical data were obtained from the patients' medical records by a trained physician. Survival estimate was generated using the Kaplan-Meier method and compared across demographic and clinicopathological categories using the log-rank test. Hazard ratio and 95% CI for treatment options are generated fitting multivariable Cox proportional hazard regression. Among 1868 patients, 84.6% were males and 15.4% were females, average (± standard deviation) age at diagnosis was 59.6±10.9 years, only 10.8% had not consumed tobacco of any form. Around two-thirds of the patient had Eastern Cooperative Oncology Group (ECOG) performance score ≥2, 29.5% had at least one comorbidity and 19.4% had metastasis at the time of presentation. Higher survival was associated with institutional education (HR 0.9; 95% CI 0.77, 0.99), and receipt of combined radiotherapy and chemotherapy (HR 0.56; 95% CI 0.46, 0.65; p <0.001). In contrast, lower survival was associated with older age between 60-69 years (HR 1.3; 95% CI 1.3, 1.5;), age ≥ 70 years (HR 1.4; 95% CI 1.1, 1.7), having any comorbidity (HR 1.1; 95% CI 1.0, 1.3), with ECOG score ≥ 3 (HR 1.41; 95% CI 1.01, 1.96) and receipt of radiotherapy treatments only (HR 1.6; 95% CI 1.3, 1.9). CONCLUSION: Older age, presence of one or more comorbidity, poorer performance status, and treatment with only RT appeared as a significant predictor of poorer prognosis of lung cancer in Bangladeshi patients. In contrast, having institutional education and treatment with combined Radiotherapy and Chemotherapy appeared as a predictor of a better prognosis. The finding of this study could serve as a basis for future studies inquiring into novel approaches for certain subgroups of patients believed to be challenged in limited resources.

Construct validity and internal consistency of the Breast Inflammatory Symptom Severity Index in lactating mothers with inflammatory breast conditions.

BACKGROUND: Inflammatory Conditions of the Lactating Breast (ICLB) affect more than one in five lactating mothers, yet no fully validated outcome measures exist to aid clinicians in their patient-centred care of women with ICLB. The Breast Inflammatory Symptom Severity Index (BISSI) is an ICLB-specific clinician administered patient-reported outcome measure, currently used by Australian clinicians, who treat mothers with ICLB. To date the BISSI has undergone partial psychometric development. This study, therefore, aimed to undertake the next stage of psychometric development by determining the construct validity and internal consistency of the BISSI. METHODS: A retrospective audit was conducted on patient records of 160 mothers who were treated for ICLB, at a private physiotherapy practice in Melbourne, Australia. An electronic data capture tool was used to collate BISSI scores and associated ICLB assessment variables. Construct validity was determined through factor analysis and discriminant performance. Reliability was determined by assessing measures of internal consistency. RESULTS: Factor analysis established that BISSI items (n = 10) loaded on to four factors, Wellness, Pain, Physical Characteristics of Affected Area (PCAA), and Inflammation, which together, explained 71.2% of variance. The remaining item ('Wellness/sickness unspecified') did not load. Wellness, Pain, PCAA and Inflammation factors individually and collectively displayed the ability to discriminate symptom severity, as scores were significantly higher in mothers with high symptom severity (assessed via AUC close to or >0.7 and P value <0.005 for each factor). The BISSI demonstrated internal consistency with an overall Cronbach alpha of 0.742. CONCLUSIONS: The BISSI has adequate construct validity, demonstrating behaviour consistent with theoretical constructs of inflammation severity, via its dimensionality and ability to discriminate symptom severity. The BISSI also has adequate internal consistency demonstrating reliability. Therefore, clinicians can have confidence that the BISSI is valid, the individual item scores are correlated, and the concepts are consistently measured.