Effects of Heatwaves on Hospital Admissions for Cardiovascular and Respiratory Diseases, in Southern Vietnam, 2010-2018: Time Series Analysis

Determinants of Healthcare-Associated Infections in King Abdulaziz Specialized Hospital in Taif, Saudi Arabia

BACKGROUND

Healthcare-associated infections (HAIs) represent a significant challenge in hospital settings, contributing to increased morbidity, mortality, and healthcare costs. This study aimed to estimate the prevalence and socio-demographic and clinical determinants of HAIs at the King Abdulaziz Specialized Hospital (KAASH) in Taif, Saudi Arabia.

METHODOLOGY

A hospital-based cross-sectional study was conducted from March 2023 to January 2024 targeting inpatients aged 18 and above in all units and wards. Data were collected using the National Healthcare Safety Network (NHSN) criteria for definitions of surveillance. A structured questionnaire gathered socio-demographic and clinical data from patients or next of kin if the patient was not fully oriented. Descriptive statistics were performed, and analytical methods used included Pearson chi-square test, Pearson correlation, independent t-test, and one-way analysis of variance.

RESULTS

Among 318 participants included in this study, the mean age of participants was 56.44 years, with a slight female predominance (n=164, 51.6%). Hypertension (n=162, 50.9%) and diabetes (n=126, 39.6%) were the most prevalent comorbidities. Pneumonia (n=60, 26.8%) and trauma (n=55, 17.4%) were the leading causes of admission. The two most common HAIs included catheter-associated urinary tract infections (CAUTI) (n=124, 39%) and central line-associated bloodstream infections (CLABSI) (n=74, 23.3%). The primary causative organisms were Klebsiella pneumoniae (n=96, 30.2%) and Acinetobacter baumannii (n=32, 10.1%). The most significant predictors of HAIs were as follows: For CLABSI, risk factors include having three or more comorbidities, fever above 37.8°C, chills or rigors, hypotension, and positive blood culture. For CAUTI, key predictors were urinary tract infection (UTI), positive urine culture, acute pain or swelling of the testes, suprapubic tenderness, visible hematuria, and leukocytosis. Significant predictors of bloodstream infections (BSI) include having a BSI, positive blood culture, chills or rigors, and hypotension. Fever and hypotension increased CLABSI and BSI risk but reduced the CAUTI risk.

CONCLUSION

The study highlights a significant burden of HAIs at the KAASH, with multiple predictors. The findings underscore the need for robust infection control measures and targeted interventions to reduce HAI incidence and improve patient outcomes.

Characterizing the Phan Rang Sheep: A First Look at the Y Chromosome, Mitochondrial DNA, and Morphometrics

The Phan Rang sheep, considered the sole indigenous breed of Vietnam, are primarily concentrated in the two central provinces of Ninh Thuan and Binh Thuan, with Ninh Thuan accounting for more than 90% of the country's sheep population. These provinces are known for their high temperatures and frequent droughts. The long-standing presence of the Phan Rang sheep in these regions suggests their potential resilience to heat stress-a trait of increasing interest in the face of global climate change. Despite the breed's significance, a critical knowledge gap hinders conservation and breeding programs. To address this, our study employed a two-pronged approach. First, we collected body conformational data to aid in breed identification. Second, we analyzed mitochondrial DNA (D-loop) and Y chromosome markers (SRY and SRYM18) to elucidate the maternal and paternal lineages. Among the 68 Phan Rang sheep analyzed for their D-loop, 19 belonged to mitochondrial haplogroup A, while 49 belonged to haplogroup B. The haplogroups can be subdivided into 16 unique haplotypes. All 19 rams surveyed for their paternal lineages belonged to haplotypes H5 and H6. These findings strongly support the hypothesis of dual origins for the Phan Rang sheep. This study presents the first genetic data for the Phan Rang breed, providing crucial insights for future research and conservation efforts.

The Association between Drought Exposure and Respiratory-Related Mortality in the United States from 2000 to 2018

Climate change has brought increasing attention to the assessment of health risks associated with climate and extreme events. Drought is a complex climate phenomenon that has been increasing in frequency and severity both locally and globally due to climate change. However, the health risks of drought are often overlooked, especially in places such as the United States, as the pathways to health impacts are complex and indirect. This study aims to conduct a comprehensive assessment of the effects of monthly drought exposure on respiratory mortality for NOAA climate regions in the United States from 2000 to 2018. A two-stage model was applied to estimate the location-specific and overall effects of respiratory risk associated with two different drought indices over two timescales (the US Drought Monitor and the 6-month and 12-month Evaporative Demand Drought Index). During moderate and severe drought exposure, respiratory mortality risk ratio in the general population increased up to 6.0% (95% Cr: 4.8 to 7.2) in the Northeast, 9.0% (95% Cr: 4.9 to 13.3) in the Northern Rockies and Plains, 5.2% (95% Cr: 3.9 to 6.5) in the Ohio Valley, 3.5% (95% Cr: 1.9 to 5.0) in the Southeast, and 15.9% (95% Cr: 10.8 to 20.4) in the Upper Midwest. Our results showed that age, ethnicity, sex (both male and female), and urbanicity (both metro and non-metro) resulted in more affected population subgroups in certain climate regions. The magnitude and direction of respiratory risk ratio differed across NOAA climate regions. These results demonstrate a need for policymakers and communities to develop more effective strategies to mitigate the effects of drought across regions.

The Scorching Truth: Investigating the Impact of Heatwaves on Selangor's Elderly Hospitalisations

Global climate change has contributed to the intensity, frequency, and duration of heatwave events. The association between heatwaves and elderly mortality is highly researched in developed countries. In contrast, heatwave impact on hospital admissions has been insufficiently studied worldwide due to data availability and sensitivity. In our opinion, the relationship between heatwaves and hospital admissions is worthwhile to explore as it could have a profound impact on healthcare systems. Therefore, we aimed to investigate the associations between heatwaves and hospitalisations for the elderly by age group in Selangor, Malaysia, from 2010 to 2020. We further explored the impact of heatwaves on the risks of cause-specific hospital admissions across age groups within the elderly. This study applied generalized additive models (GAMs) with the Poisson family and distributed lag models (DLMs) to estimate the effect of heatwaves on hospitalisations. According to the findings, there was no significant increase in hospitalisations for those aged 60 and older during heatwaves; however, a rise in mean apparent temperature (ATmean) by 1 °C significantly increased the risk of hospital admission by 12.9%. Heatwaves had no immediate effects on hospital admissions among elderly patients, but significant delay effects were identified for ATmean with a lag of 0-3 days. The hospital admission rates of the elderly groups started declining after a 5-day average following the heatwave event. Females were found to be relatively more vulnerable than males during heatwave periods. Consequently, these results can provide a reference to improve public health strategies to target elderly people who are at the greatest risk of hospitalisations due to heatwaves. Development of early heatwave and health warning systems for the elderly would assist with preventing and reducing health risks while also minimising the burden on the whole hospital system in Selangor, Malaysia.