Clinical and Health Economic Evaluation of a Novel Device for Fecal Management in Bedridden Patients.

Purpose: To evaluate the clinical effectiveness and health economic benefits of a novel indwelling lattice-based device for fecal management in bedridden patients. Materials and methods: This nonrandomized, two-arm study included 70 bedridden patients (≥18 years exhibiting liquid stool) referred from the ICU of surgery and medicine units of a 2000-bed tertiary care referral hospital, assigned to the intervention and control groups. About 35 patients were eligible to be included in the intervention group while 35 patients with contraindications to the intervention device were included in the usual care control group. Assessments were made before and every 24 hours during the study, and all patients were closely monitored for development of incontinence-associated dermatitis (IAD) and hospital-acquired pressure injury. Results: The test device was successfully deployed on the first attempt and effectively diverted fecal matter in all 35 patients, with no adverse events. In the control group, 83% of the patients developed IAD, which resulted in prolonged hospitalization and increased expenses. Overall, the control group (with adult diapers) required greater time, resources, and efforts for fecal management and resulted in increased patient morbidity. Conclusion: The patient management time, resource consumption, overall cost of hospital admission, and the complication rates are significantly lower with the use of the novel lattice-based device than with the use of adult diapers for fecal management. How to cite this article: Sheth H, Rao S, Karthik V. Clinical and Health Economic Evaluation of a Novel Device for Fecal Management in Bedridden Patients. Indian J Crit Care Med 2023;27(10):759-765.

Assessment of short-term heat effects on cardiovascular mortality and vulnerability factors using small area data in Europe.

BACKGROUND: Short-term associations between heat and cardiovascular disease (CVD) mortality have been examined mostly in large cities. However, different vulnerability and exposure levels may contribute to spatial heterogeneity. This study assessed heat effects on CVD mortality and potential vulnerability factors using data from three European countries, including urban and rural settings. METHODS: We collected daily counts of CVD deaths aggregated at the small-area level in Norway (small-area level: municipality), England and Wales (lower super output areas), and Germany (district) during the warm season (May-September) from 1996 to 2018. Daily mean air temperatures estimated by spatial-temporal models were assigned to each small area. Within each country, we applied area-specific Quasi-Poisson regression using distributed lag nonlinear models to examine the heat effects at lag 0-1 days. The area-specific estimates were pooled by random-effects meta-analysis to derive country-specific and overall heat effects. We examined individual- and area-level heat vulnerability factors by subgroup analyses and meta-regression, respectively. RESULTS: We included 2.84 million CVD deaths in analyses. For an increase in temperature from the 75th to the 99th percentile, the pooled relative risk (RR) for CVD mortality was 1.14 (95% CI: 1.03, 1.26), with the country-specific RRs ranging from 1.04 (1.00, 1.09) in Norway to 1.24 (1.23, 1.26) in Germany. Heat effects were stronger among women [RRs (95% CIs) for women and men: 1.18 (1.08, 1.28) vs. 1.12 (1.00, 1.24)]. Greater heat vulnerability was observed in areas with high population density, high degree of urbanization, low green coverage, and high levels of fine particulate matter. CONCLUSION: This study provides evidence for the heat effects on CVD mortality in European countries using high-resolution data from both urban and rural areas. Besides, we identified individual- and area-level heat vulnerability factors. Our findings may facilitate the development of heat-health action plans to increase resilience to climate change.

Excess mortality attributed to heat and cold: a health impact assessment study in 854 cities in Europe.

BACKGROUND: Heat and cold are established environmental risk factors for human health. However, mapping the related health burden is a difficult task due to the complexity of the associations and the differences in vulnerability and demographic distributions. In this study, we did a comprehensive mortality impact assessment due to heat and cold in European urban areas, considering geographical differences and age-specific risks. METHODS: We included urban areas across Europe between Jan 1, 2000, and Dec 12, 2019, using the Urban Audit dataset of Eurostat and adults aged 20 years and older living in these areas. Data were extracted from Eurostat, the Multi-country Multi-city Collaborative Research Network, Moderate Resolution Imaging Spectroradiometer, and Copernicus. We applied a three-stage method to estimate risks of temperature continuously across the age and space dimensions, identifying patterns of vulnerability on the basis of city-specific characteristics and demographic structures. These risks were used to derive minimum mortality temperatures and related percentiles and raw and standardised excess mortality rates for heat and cold aggregated at various geographical levels. FINDINGS: Across the 854 urban areas in Europe, we estimated an annual excess of 203 620 (empirical 95% CI 180 882-224 613) deaths attributed to cold and 20 173 (17 261-22 934) attributed to heat. These corresponded to age-standardised rates of 129 (empirical 95% CI 114-142) and 13 (11-14) deaths per 100 000 person-years. Results differed across Europe and age groups, with the highest effects in eastern European cities for both cold and heat. INTERPRETATION: Maps of mortality risks and excess deaths indicate geographical differences, such as a north-south gradient and increased vulnerability in eastern Europe, as well as local variations due to urban characteristics. The modelling framework and results are crucial for the design of national and local health and climate policies and for projecting the effects of cold and heat under future climatic and socioeconomic scenarios. FUNDING: Medical Research Council of UK, the Natural Environment Research Council UK, the EU's Horizon 2020, and the EU's Joint Research Center.

Abating ammonia is more cost-effective than nitrogen oxides for mitigating PM2.5 air pollution.

Fine particulate matter (PM2.5, particles with a mass median aerodynamic diameter of less than 2.5 micrometers) in the atmosphere is associated with severe negative impacts on human health, and the gases sulfur dioxide, nitrogen oxides, and ammonia are the main PM2.5 precursors. However, their contribution to global health impacts has not yet been analyzed. Here, we show that nitrogen accounted for 39% of global PM2.5 exposure in 2013, increasing from 30% in 1990 with rising reactive nitrogen emissions and successful controls on sulfur dioxide. Nitrogen emissions to air caused an estimated 23.3 million years of life lost in 2013, corresponding to an annual welfare loss of 420 billion United States dollars for premature death. The marginal abatement cost of ammonia emission is only 10% that of nitrogen oxides emission globally, highlighting the priority for ammonia reduction.

A simple algorithmic approach using histology and immunohistochemistry for the current classification of adult diffuse glioma in a resource-limited set-up.

AIMS: The WHO 2016 classification of diffuse gliomas combines histological and molecular parameters for diagnosis. However, in view of cost constraints for molecular testing, an economical working formula is essential to reach a meaningful diagnosis in a resource-limited setting. The aim of this study was to establish a practical algorithmic approach using histology and immunohistochemistry (IHC) in the classification of diffuse gliomas in such a set-up. METHODS: Diffuse gliomas of WHO grade II and III diagnosed in our institute in the year 2016 were analysed for histological and IHC features, using the markers isocitrate dehydrogenase 1 (IDH1R132H) and α thalassemia/mental retardation syndrome X-linked gene (ATRX). Fluorescence in situ hybridisation (FISH) for 1p/19q co-deletion was performed when requested. RESULTS: 449 diffuse gliomas (grades II/III) were included in the study. Integrating histology and IHC features, as per the WHO 2016 guidelines, we derived the following groups: Astrocytoma, IDH-mutant (A,IDH-mt, 37.2%); astrocytoma, not otherwise specified (A,NOS, 12.7%); oligoastrocytoma, NOS (OA,NOS, 4.5%); and oligodendroglioma, NOS (ODG,NOS, 45.6%). FISH was performed in a subset of ODG,NOS, OA,NOS and A,NOS gliomas. This revealed 1p/19q co-deletion in all cases of ODG,NOS, 15.8% of OA,NOS and 37.5% of A,NOS. Sequencing for rare IDH 1/2 mutations was not carried out in this study. CONCLUSION: In a resource-limited set-up, histology with IHC (IDH1(R132H) and ATRX) form the baseline to reasonably derive four histomolecular subgroups of diffuse glioma. Of these, we recommend, OA,NOS and IDH1(R132H)-non-mt ODG,NOS to be our priority for performing 1p/19q co-deletion studies in comparison to IDH-mt ODG,NOS, and it would not be mandatory for astrocytoma. Sequencing for rare IDH mutations is advised for A,NOS and OA,NOS groups, but not for the IDH1(R132H)-non-mutant diffuse gliomas with 1p/19q co-deletion.

Household cooking with solid fuels contributes to ambient PM2.5 air pollution and the burden of disease.

BACKGROUND: Approximately 2.8 billion people cook with solid fuels. Research has focused on the health impacts of indoor exposure to fine particulate pollution. Here, for the 2010 Global Burden of Disease project (GBD 2010), we evaluated the impact of household cooking with solid fuels on regional population-weighted ambient PM2.5 (particulate matter ≤ 2.5 µm) pollution (APM2.5). OBJECTIVES: We estimated the proportion and concentrations of APM2.5 attributable to household cooking with solid fuels (PM2.5-cook) for the years 1990, 2005, and 2010 in 170 countries, and associated ill health. METHODS: We used an energy supply-driven emissions model (GAINS; Greenhouse Gas and Air Pollution Interactions and Synergies) and source-receptor model (TM5-FASST) to estimate the proportion of APM2.5 produced by households and the proportion of household PM2.5 emissions from cooking with solid fuels. We estimated health effects using GBD 2010 data on ill health from APM2.5 exposure. RESULTS: In 2010, household cooking with solid fuels accounted for 12% of APM2.5 globally, varying from 0% of APM2.5 in five higher-income regions to 37% (2.8 µg/m3 of 6.9 µg/m3 total) in southern sub-Saharan Africa. PM2.5-cook constituted > 10% of APM2.5 in seven regions housing 4.4 billion people. South Asia showed the highest regional concentration of APM2.5 from household cooking (8.6 µg/m3). On the basis of GBD 2010, we estimate that exposure to APM2.5 from cooking with solid fuels caused the loss of 370,000 lives and 9.9 million disability-adjusted life years globally in 2010. CONCLUSIONS: PM2.5 emissions from household cooking constitute an important portion of APM2.5 concentrations in many places, including India and China. Efforts to improve ambient air quality will be hindered if household cooking conditions are not addressed.