Risk Factors and Patterns of Drug-Drug Interactions in Two Categories of Level-3 Hospitals in Dhaka: A Cross-Sectional Study.

Background And Aims: Drug-drug interactions (DDIs) are a significant health issue that may adversely affect the health and well-being of patients. This study assesses and compares potential DDI (pDDI) patterns, severity, and associated risk factors in government and private hospitals in Dhaka, Bangladesh.

Methods: A total of 188 and 206 prescriptions were collected from various government and private hospitals' outdoor departments, respectively, by capturing pictures of the prescriptions.

Reported Adverse Events Following SARS-CoV-2 Vaccinations in the Canadian Province of Alberta and Associated Risk Factors: A Retrospective Cohort Study.

: Coronavirus-19 (COVID-19) vaccines represent a significant milestone in the fight against coronavirus disease. Ongoing post-marketing surveillance and research are crucial for ensuring vaccine safety and effectiveness, aiding public health planning. : Our retrospective cohort study included Albertans five years and older and vaccinated with at least one dose of an approved COVID-19 vaccine between 14 December 2020 and 30 April 2022.

Illnesses Associated With Increased Length of Stay for Individuals Experiencing Homelessness: A Retrospective Cohort Study of Emergency Department Visits and Hospitalisations.

Background: Individuals experiencing homelessness (IEH) tend to have increased length of stay (LOS) in acute care settings, which negatively impacts health care costs and resource utilisation. It is unclear however, what specific factors account for this increased LOS. This study attempts to define which diagnoses most impact LOS for IEH and if there are differences based on their demographics.

Cancer chemotherapy in pregnancy and adverse pediatric outcomes: a population-based cohort study.

Background: Administration of chemotherapy during pregnancy is often delayed, while preterm delivery is common. If in utero exposure to chemotherapy is associated with adverse pediatric outcomes, it is unknown whether that relationship is directly attributable to the chemotherapy or is mediated by preterm birth.

Methods: Cases were identified from Canadian cancer registries and administrative data in Alberta, British Columbia, and Ontario, 2003-2017, with follow-up until 2018.

Procedural abortion, provider-initiated preterm delivery and survival in pregnant people with cancer: A population-based cohort study.

Objective: To assess whether procedural-induced abortion or provider-initiated preterm delivery are associated with improved survival in pregnant people with cancer.

Design: Retrospective population-based cohort study.

Setting: Provinces of Alberta and Ontario, Canada, 2003-2016.

Comparative analysis of prescription patterns and errors in government versus private hospitals in Dhaka: A cross-sectional study.

Background And Objectives: Prescription errors can inadvertently compromise the effectiveness and increase the risk of adverse events. This study aims to compare prescription patterns and errors between government and private hospitals in Dhaka, Bangladesh, by evaluating the World Health Organization (WHO) prescription indicators, polypharmacy, and omission errors.

Methods: Between September 2021 and November 2021, a total of 399 prescriptions were collected from outpatient departments of various government and private hospitals from patients or their attendants.

Real-world evidence of sotrovimab effectiveness for preventing severe outcomes in patients with COVID-19: A quality improvement propensity-matched retrospective cohort study of a pan-provincial program in Alberta, Canada.

Objectives: Post-marketing surveillance of sotrovimab's effect during implementation in the Canadian population is limited.

Methods: The study used a propensity score-matched retrospective cohort design. Follow-up began between the periods of December 15, 2021 and April 30 2022.

The paradoxical influence of the COVID-19 lockdown period on different types of preterm births in Alberta: a provincial study.

Objectives: The objective of this study was to determine if the COVID-19 pandemic impacted different types of preterm birth rates in Alberta, Canada.

Methods: A population-based, retrospective, cohort study was conducted from March 15, 2015 to December 31, 2020 using provincial data. The primary exposure was the COVID-19 lockdown period, and the primary outcome was the incidence of preterm birth (<37 weeks gestational age).

Antibiotic residues in pasteurised and Raw Cow's milk in Dhaka, Bangladesh.

This study aimed to investigate antibiotic residues such as oxytetracycline, ciprofloxacin, enrofloxacin and levofloxacin, in both pasteurised and raw cow's milk. A method using high-performance liquid chromatography with a UV detector (HPLC-UV) was developed and validated following International Conference on Harmonization (ICH) guidelines for simultaneous detection and quantification of these residues. The technique demonstrated linearity, with r values ranging from 0.

Role of pattern recognition receptors in sensing .

is one of the major invasive intracellular pathogens causing most deaths by a single infectious agent. The interaction between host immune cells and this pathogen is the focal point of the disease, Tuberculosis. Host immune cells not only mount the protective action against this pathogen but also serve as the primary niche for growth.

Long-term health care use and diagnosis after hospitalization for COVID-19: a retrospective matched cohort study.

Background: Knowledge pertaining to the health and health care utilization of patients after recovery from acute COVID-19 is limited. We sought to assess the frequency of new diagnoses of disease and health care use after hospitalization with COVID-19.

Methods: We included all patients hospitalized with COVID-19 in Alberta between Mar.

Long-term Mortality in Individuals Diagnosed With Cancer During Pregnancy or Postpartum.

Importance: Outcomes among patients with pregnancy-associated cancers (diagnosed during pregnancy or 1-year postpartum) other than breast cancer have received relatively little research attention. High-quality data from additional cancer sites are needed to inform the care of this unique group of patients.

Objective: To assess mortality and survival in premenopausal women with pregnancy-associated cancers, with a particular focus on cancers other than those of the breast.

A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population.

Risk prediction models are frequently used to identify individuals at risk of developing hypertension. This study evaluates different machine learning algorithms and compares their predictive performance with the conventional Cox proportional hazards (PH) model to predict hypertension incidence using survival data. This study analyzed 18,322 participants on 24 candidate features from the large Alberta's Tomorrow Project (ATP) to develop different prediction models.

A cross-sectional study on current prescription trends and errors in outpatient department of a Bangladeshi secondary care district hospital.

Context: The rational prescription leads to a healthy and good-quality life of a patient. Irrational, inappropriate, and unnecessary prescriptions are major therapeutic issues in Bangladesh, which can cause severe consequences.

Aim: This cross-sectional study was conducted to evaluate the prescription patterns and errors as well as to review the most frequently prescribed drug classes among outpatients at a secondary hospital in Pabna, a district of Bangladesh.

Development and validation of a hypertension risk prediction model and construction of a risk score in a Canadian population.

Identifying high-risk individuals for targeted intervention may prevent or delay hypertension onset. We developed a hypertension risk prediction model and subsequent risk sore among the Canadian population using measures readily available in a primary care setting. A Canadian cohort of 18,322 participants aged 35-69 years without hypertension at baseline was followed for hypertension incidence, and 625 new hypertension cases were reported.

Predicting the Risk Factors Associated With Severe Outcomes Among COVID-19 Patients-Decision Tree Modeling Approach.

Background: The COVID-19 pandemic has seen a large surge in case numbers over several waves, and has critically strained the health care system, with a significant number of cases requiring hospitalization and ICU admission. This study used a decision tree modeling approach to identify the most important predictors of severe outcomes among COVID-19 patients.

Methods: We identified a retrospective population-based cohort ( = 140,182) of adults who tested positive for COVID-19 between 5 March 2020 and 31 May 2021.

Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.

Objective: We aimed to identify existing hypertension risk prediction models developed using traditional regression-based or machine learning approaches and compare their predictive performance.

Methods: We systematically searched MEDLINE, EMBASE, Web of Science, Scopus, and the grey literature for studies predicting the risk of hypertension among the general adult population. Summary statistics from the individual studies were the C-statistic, and a random-effects meta-analysis was used to obtain pooled estimates.

Evaluation of sleep quality, psychological states and subsequent self-medication practice among the Bangladeshi population during Covid-19 pandemic.

Introduction: Due to the extended lockdown imposed for SARS-CoV-2 pandemic, many people have experienced problematic sleep patterns and associated health issues worldwide. This study was conducted to assess the sleep quality and psychological states of the Bangladeshi population during the COVID-19 pandemic, respondent's behavioral traits as well as psychological or sleep-related problems induced self-medication practice among the respondents, along with the probability of development of drug dependency.

Methods: The survey was conducted among 2941 respondents from 25th November 2020 to 4th December 2020 where the responses were analyzed by SPSS V22.

Incidence of Pregnancy-Associated Cancer in Two Canadian Provinces: A Population-Based Study.

Pregnancy-associated cancer-that is diagnosed in pregnancy or within 365 days after delivery-is increasingly common as cancer therapy evolves and survivorship increases. This study assessed the incidence and temporal trends of pregnancy-associated cancer in Alberta and Ontario-together accounting for 50% of Canada's entire population. Linked data from the two provincial cancer registries and health administrative data were used to ascertain new diagnoses of cancer, livebirths, stillbirths and induced abortions among women aged 18-50 years, from 2003 to 2015.

Parental perception of neonatal retro-transfers from level 3 to level 2 neonatal intensive care units.

Objective: The primary objective of this study was to determine the overall parental satisfaction with retro-transfers from a level 3 to a level 2 Neonatal Intensive Care Unit (NICU). The secondary objectives were to explore factors that caused parental satisfaction associated with retro-transfer and investigate the factors that could be modified to improve the retro-transfer process.

Methods: This is a retrospective cross-sectional study.

Average Lifespan Shortened due to Stroke in Canada: A Nationwide Descriptive Study From 1990 to 2015.

Background And Purpose: There are challenges in comparability when using existing life lost measures to examine long-term trends in premature mortality. To address this important issue, we have developed a novel measure termed average lifespan shortened (ALSS). In the present study, we used the ALSS measure to describe temporal changes in premature mortality due to stroke in the Canadian population from 1990 to 2015.

Summarising and synthesising regression coefficients through systematic review and meta-analysis for improving hypertension prediction using metamodelling: protocol.

Introduction: Hypertension is one of the most common medical conditions and represents a major risk factor for heart attack, stroke, kidney disease and mortality. The risk of progression to hypertension depends on several factors, and combining these risk factors into a multivariable model for risk stratification would help to identify high-risk individuals who should be targeted for healthy behavioural changes and/or medical treatment to prevent the development of hypertension. The risk prediction models can be further improved in terms of accuracy by using a metamodel updating technique where existing hypertension prediction models can be updated by combining information available in existing models with new data.

Premature deaths due to head and neck cancers in canada: A nationwide analysis from 1980 to 2010.

Objectives/hypothesis: To examine if there has been a reduction in premature mortality due to head and neck cancers and their subtypes in the Canadian population between 1980 and 2010.

Study Design: Retrospective database review.

Methods: Mortality data for head and neck cancers were obtained from the World Health Organization's mortality database.

Premature Mortality Due to Malignancies of the Central Nervous System in Canada, 1980-2010.

Background: In this study, we investigated whether there has been an improvement in premature mortality due to central nervous system (CNS) cancers among the Canadian population from 1980 through 2010.

Methods: Mortality data for CNS cancers were obtained from World Health Organization mortality database. Years of life lost (YLL) was estimated using Canadian life tables.