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Nevin Manimala Statistics

Development and validation of chemometric-assisted spectrophotometric models for efficient quantitation of a binary mixture of supportive treatments in COVID-19 in the presence of its toxic impurities: a comparative study for eco-friendly assessment

BMC Chem. 2023 Dec 7;17(1):177. doi: 10.1186/s13065-023-01089-9.

ABSTRACT

The use of sustainable solvents has increased significantly in recent years due to advancements in green analytical methods. The number of impurities in the drug substance determines how safe the finished product is. Therefore, during the whole medication planning process, contaminants need to be closely watched. Using chemometric models, the concentrations of hyoscine N-butyl bromide (HYO) and paracetamol (PAR) were determined in the presence of three PAR impurities [P-nitrophenol (PNP), P-aminophenol (PAP), and P-chloroacetanilide (PCA), as well as DL-tropic acid (TRO) as a HYO impurity]. It was possible to isolate and measure these dangerous impurities. Fever and spasms associated with COVID-19 are reported to be considerably reduced when PAR and HYO are taken together. Artificial neural networks, principal component regression, multivariate curve resolution-alternating least squares, and partial least squares are the four chemometric-assisted spectrophotometric models that were created and verified. All of the proposed methods’ quantitative analytical potency was assessed using recoveries%, root mean square error of prediction, and standard error of prediction. For PAR, HYO, PNP, PCA, TRO, and PAP, respectively, the indicated approaches were used in the ranges of 4.00-8.00, 16.00-24.00, 1.00-5.00, 0.40-0.80, 4.00-12.00, and 2.00-6.00 µg/mL. They are able to get around difficulties like collinearity and spectral overlaps. After statistical testing, there was no discernible difference between the recommended methods and the published one. The degree of greenness of the established models was evaluated using three different green assessment methods. In the presence of their harmful impurities, PAR and HYO could be identified using the recommended methods.

PMID:38062478 | DOI:10.1186/s13065-023-01089-9

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Prevalence of G6PD deficiency and submicroscopic malaria parasites carriage in malaria hotspot area in Northwest, Tanzania

Malar J. 2023 Dec 7;22(1):372. doi: 10.1186/s12936-023-04801-1.

ABSTRACT

BACKGROUND: The use of primaquine for mass drug administration (MDA) is being considered as a key strategy for malaria elimination. In addition to being the only drug active against the dormant and relapsing forms of Plasmodium vivax, primaquine is the sole potent drug against mature/infectious Plasmodium falciparum gametocytes. It may prevent onward transmission and help contain the spread of artemisinin resistance. However, higher dose of primaquine is associated with the risk of acute haemolytic anaemia in individuals with a deficiency in glucose-6-phosphate dehydrogenase. In many P. falciparum endemic areas there is paucity of information about the distribution of individuals at risk of primaquine-induced haemolysis at higher dose 45 mg of primaquine.

METHODS: A retrospective cross-sectional study was carried out using archived samples to establish the prevalence of G6PD deficiency in a malaria hotspot area in Misungwi district, located in Mwanza region, Tanzania. Blood samples collected from individuals recruited between August and November 2010 were genotyped for G6PD deficiency and submicroscopic parasites carriage using polymerase chain reaction.

RESULTS: A total of 263 individuals aged between 0 and 87 were recruited. The overall prevalence of the X-linked G6PD A- mutation was 83.7% (220/263) wild type, 8% (21/263) heterozygous and 8.4% (22/263) homozygous or hemizygous. Although, assessment of the enzymatic activity to assign the phenotypes according to severity and clinical manifestation as per WHO was not carried out, the overall genotype and allele frequency for the G6PD deficiency was 16.4% and 13. 2%, respectively. There was no statistically significant difference in among the different G6PD genotypes (p > 0.05). Out of 248 samples analysed for submicroscopic parasites carriage, 58.1% (144/248) were P. falciparum positive by PCR. G6PD heterozygous deficiency were associated with carriage of submicroscopic P. falciparum (p = 0.029).

CONCLUSIONS: This study showed that 16.4% of the population in this part of North-western Tanzania carry the G6PD A- mutation, within the range of 15-32% seen in other parts of Africa. G6PD gene mutation is widespread and heterogeneous across the study area where primaquine would be valuable for malaria control and elimination. The maps and population estimates presented here reflect potential risk of higher dose of primaquine being associated with the risk of acute haemolytic anaemia (AHA) in individuals with a deficiency in glucose-6-phosphate dehydrogenase and call further research on mapping of G6PD deficiency in Tanzania. Therefore, screening and education programmes for G6PD deficiency is warranted in a programme of malaria elimination using a higher primaquine dose.

PMID:38062464 | DOI:10.1186/s12936-023-04801-1

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Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users

Int J Behav Nutr Phys Act. 2023 Dec 7;20(1):144. doi: 10.1186/s12966-023-01533-y.

ABSTRACT

BACKGROUND: The growth of urban dwelling populations globally has led to rapid increases of research and policy initiatives addressing associations between the built environment and physical activity (PA). Given this rapid proliferation, it is important to identify priority areas and research questions for moving the field forward. The objective of this study was to identify and compare research priorities on the built environment and PA among researchers and knowledge users (e.g., policy makers, practitioners).

METHODS: Between September 2022 and April 2023, a three-round, modified Delphi survey was conducted among two independent panels of international researchers (n = 38) and knowledge users (n = 23) to identify similarities and differences in perceived research priorities on the built environment and PA and generate twin ‘top 10’ lists of the most important research needs.

RESULTS: From a broad range of self-identified issues, both panels ranked in common the most pressing research priorities including stronger study designs such as natural experiments, research that examines inequalities and inequities, establishing the cost effectiveness of interventions, safety and injuries related to engagement in active transportation (AT), and considerations for climate change and climate adaptation. Additional priorities identified by researchers included: implementation science, research that incorporates Indigenous perspectives, land-use policies, built environments that support active aging, and participatory research. Additional priorities identified by knowledge users included: built environments and PA among people living with disabilities and a need for national data on trip chaining, multi-modal travel, and non-work or school-related AT.

CONCLUSIONS: Five common research priorities between the two groups emerged, including (1) to better understand causality, (2) interactions with the natural environment, (3) economic evaluations, (4) social disparities, and (5) preventable AT-related injuries. The findings may help set directions for future research, interdisciplinary and intersectoral collaborations, and funding opportunities.

PMID:38062460 | DOI:10.1186/s12966-023-01533-y

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Assessment of post-COVID-19 fatigue among female survivors 2 years after hospital discharge: a nested case-control study

BMC Public Health. 2023 Dec 7;23(1):2455. doi: 10.1186/s12889-023-17382-0.

ABSTRACT

BACKGROUND: Fatigue is a common symptom of long COVID syndrome. Compared to male survivors, females have a higher incidence of post-COVID fatigue. Therefore, long-term follow-up is necessary to understand which groups of females are more vulnerable to post-COVID fatigue.

METHODS: This is a nested case-control study of female COVID-19 survivors who were discharged from two designated hospitals in Wuhan, China in 2020, and received 2-year follow-up from March 1 to April 6, 2022. All patients completed the Checklist Individual Strength-subscale subjective fatigue (CIS-fatigue), a chronic obstructive pulmonary disease (COPD) assessment test (CAT), and the Hospital Anxiety and Depression Scale (HADS; including the HADS-Anxiety [HADS-A] and the HADS-Depression [HADS-D]). Individuals with CIS-fatigue scores of 27 or higher were classified as cases. The risk factors for fatigue was analysed with multivariable logistic regression analysis.

RESULTS: A total of 899 female COVID-19 survivors were enrolled for analysis, including 47 cases and 852 controls. Compared with controls, cases had higher CAT, HADS-A and HADS-D scores, and showed a higher prevalence of symptoms, including anxiety (cases vs. controls, 44.7% vs. 4.0%, p < 0.001), chest tightness (21.2% vs. 2.3%, p < 0.001), dyspnoea (19.1% vs. 0.8%, p < 0.001) and so on. In multivariable logistic regression analysis, age (OR, 1.03; 95% CI, 1.01-1.06; p = 0.02) and cerebrovascular disease (OR, 11.32; 95% CI, 2.87-43.00; p < 0.001) were risk factors for fatigue. Fatigue had a statistically significant moderate correlation with depression (r = 0.44, p < 0.001), but not with CAT ≥ 10.

CONCLUSION: Female COVID-19 patients who had cerebrovascular disease and older age have higher risk of fatigue. Patients with fatigue have higher CAT scores, and are more likely to have concurrent depression.

PMID:38062429 | DOI:10.1186/s12889-023-17382-0

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Spatiotemporal variations of “triple-demic” outbreaks of respiratory infections in the United States in the post-COVID-19 era

BMC Public Health. 2023 Dec 7;23(1):2452. doi: 10.1186/s12889-023-17406-9.

ABSTRACT

BACKGROUND: The US confronted a “triple-demic” of influenza, respiratory syncytial virus (RSV), and COVID-19 in the winter of 2022, leading to increased respiratory infections and a higher demand for medical supplies. It is urgent to analyze these epidemics and their spatial-temporal co-occurrence, identifying hotspots and informing public health strategies.

METHODS: We employed retrospective and prospective space-time scan statistics to assess the situations of COVID-19, influenza, and RSV in 51 US states from October 2021 to February 2022, and from October 2022 to February 2023, respectively. This enabled monitoring of spatiotemporal variations for each epidemic individually and collectively.

RESULTS: Compared to winter 2021, COVID-19 cases decreased while influenza and RSV infections significantly increased in winter 2022. We found a high-risk cluster of influenza and COVID-19 (not all three) in winter 2021. In late November 2022, a large high-risk cluster of triple-demic emerged in the central US. The number of states at high risk for multiple epidemics increased from 15 in October 2022 to 21 in January 2023.

CONCLUSIONS: Our study offers a novel spatiotemporal approach that combines both univariate and multivariate surveillance, as well as retrospective and prospective analyses. This approach offers a more comprehensive and timely understanding of how the co-occurrence of COVID-19, influenza, and RSV impacts various regions within the United States. Our findings assist in tailor-made strategies to mitigate the effects of these respiratory infections.

PMID:38062417 | DOI:10.1186/s12889-023-17406-9

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Using of non-pharmacological pain methods, and the perceived barriers, among nurses in critical care unit in Palestine

BMC Nurs. 2023 Dec 7;22(1):467. doi: 10.1186/s12912-023-01635-9.

ABSTRACT

BACKGROUND: Pain is alleviated in one of the two common approaches, pharmacological or non-pharmacological intervention. Using non-pharmacological methods may have beneficial effect and priority on decreasing patients’ level of pain and decreasing the side effects of pharmacological methods in ICU patients. This study aimed to assess ICU Palestinian nurses use and barriers of non-pharmacological pain management.

METHODS: A quantitative descriptive cross-sectional design was used to collect responses from a convenient sample of 215 nurses working in six hospitals in Plaestine. The timeframe for data collection was from August 2022 to December 2022. This study had three instrument packages. The first part is demographic data. The second is a tool that used 4-point Likert scale to examine ICU nursing use of non-pharmacological pain methods and it consisted of 16 items. The third is six items of perceived barriers to use non-pharmacological pain methods. All statistical procedures were analyzed using Statistical Package of Social Science (SPSS) version 28.

RESULTS: More than two-thirds of the nurses used non-pharmacological pain methods in ICU. 60% of the nurses have high levels of use, 10.2% have very high levels. The two highest perceived barriers to use nonpharmacological method were the lack of time, workload, and patient instability with 83.7% (n = 180), and 77.2% (n = 166), respectively. Demographic variables were not significantly associated with the use of non-pharmacological pain management methods, except age.

CONCLUSION: Adopting culturally sensitive non-pharmacological pain methods to decrease ICU patients’ level of pain, may positively reflected on patients’ outcome and on healthcare system. Developing, implementing and continuous monitoring of guidelines regarding using nonpharmacological for nurses and physicians are recommended which will be reflected positively on patients’ outcomes. Great efforts to overcome the barriers of lack of time and workload is impertive to increase the clinical usage of nonpharmacological pain methods.

PMID:38062405 | DOI:10.1186/s12912-023-01635-9

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Spatial model of Dengue Hemorrhagic Fever (DHF) risk: scoping review

BMC Public Health. 2023 Dec 7;23(1):2448. doi: 10.1186/s12889-023-17185-3.

ABSTRACT

BACKGROUND: Creating a spatial model of dengue fever risk is challenging duet to many interrelated factors that could affect dengue. Therefore, it is crucial to understand how these critical factors interact and to create reliable predictive models that can be used to mitigate and control the spread of dengue.

METHODS: This scoping review aims to provide a comprehensive overview of the important predictors, and spatial modelling tools capable of producing Dengue Haemorrhagic Fever (DHF) risk maps. We conducted a methodical exploration utilizing diverse sources, i.e., PubMed, Scopus, Science Direct, and Google Scholar. The following data were extracted from articles published between January 2011 to August 2022: country, region, administrative level, type of scale, spatial model, dengue data use, and categories of predictors. Applying the eligibility criteria, 45 out of 1,349 articles were selected.

RESULTS: A variety of models and techniques were used to identify DHF risk areas with an arrangement of various multiple-criteria decision-making, statistical, and machine learning technique. We found that there was no pattern of predictor use associated with particular approaches. Instead, a wide range of predictors was used to create the DHF risk maps. These predictors may include climatology factors (e.g., temperature, rainfall, humidity), epidemiological factors (population, demographics, socio-economic, previous DHF cases), environmental factors (land-use, elevation), and relevant factors.

CONCLUSIONS: DHF risk spatial models are useful tools for detecting high-risk locations and driving proactive public health initiatives. Relying on geographical and environmental elements, these models ignored the impact of human behaviour and social dynamics. To improve the prediction accuracy, there is a need for a more comprehensive approach to understand DHF transmission dynamics.

PMID:38062404 | DOI:10.1186/s12889-023-17185-3

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Individual and community level factors associated with modern contraceptive utilization among married women in the emerging region of Ethiopia: a multilevel mixed effects analysis of the 2019 Ethiopia Mini-Demographic and health survey

BMC Womens Health. 2023 Dec 7;23(1):652. doi: 10.1186/s12905-023-02822-1.

ABSTRACT

BACKGROUND: A demonstrated technique to enhance reproductive health and economic progress is through ensuring that family planning services are accessible universally. Those studies that used Ethiopia Demographic and Health Survey (EDHS) data did not assess individual and community-level factors in contraceptive utilization. Thus, the study employs a multilevel mixed effects analysis approach, which allows for the examination of individual and community-level factors that influence contraceptive utilization.

METHODS: This study analyzed the 2019 Ethiopia Min Demographic and Health Survey datasets. A total of 1916 married women in the 2019 surveys were included in the analysis. The data were analyzed using Stata version 17.0. The data were analyzed using Multi-level mixed-effect logistic regression to identify the individual and community-level factors associated with modern contraceptive utilization. An adjusted odds ratio with a 95% confidence interval was used to. Show the strength and direction of the association and statistical significance was declared at a P value less than 0.05.

RESULTS: Factors significantly associated with modern contraceptive utilization were; Muslim and protestant followers [AOR = 0.31, 95% CI: (0.134, 0.714)] and [AOR = 0.35, 95% CI: (0.173, 0.691)] respectively, women with no education (OR = 0.46; 95% CI: 0.293, 0.710), those women who belong to the poor and middle wealth of household [AOR = 0.35, 95% CI: (0.237, 0.527)] and [AOR = 0.56, 95% CI: (0.347, 0.919)] respectively, women who had one to five and greater than or equal to six living children [AOR = 11.36, 95% CI:(2.119, 60.918)] and [AOR = 7.44, 95% CI:(1.437, 38.547)]respectively, Women in clusters poor wealth status [AOR = 0.40, 95% CI: (0.183, 0.875)] and women who belong to the Somali region [AOR = 0.20, 95% CI: (0.0.070, 0.506)].

CONCLUSION: The study revealed that both individual and community-level factors determined modern contraceptive utilization. At the individual level, the religion of women, educational status, the wealth of the household, and the total number of living children were significantly associated with modern contraceptive utilization. At community-level factors, community wealth status and belonging to the Somali region were significantly associated with modern contraceptive utilization. The findings suggest that interventions aimed at increasing modern contraceptive utilization should target women with lower levels of education, those living in households with lower wealth, and those with larger families. Additionally, efforts should be made to improve access to modern contraceptives in communities with lower wealth status and in regions where traditional beliefs may hinder their use.

PMID:38062400 | DOI:10.1186/s12905-023-02822-1

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Hemoglobin levels and clinical outcomes after extracorporeal circulation auxiliary to open heart surgery: a retrospective cohort study

BMC Cardiovasc Disord. 2023 Dec 7;23(1):598. doi: 10.1186/s12872-023-03647-4.

ABSTRACT

BACKGROUND: Extracorporeal circulation auxiliary to open heart surgery is a common procedure used to treat heart diseases. However, the optimal transfusion strategy for patients undergoing this surgery remains a subject of debate. This study aims to investigate the association between hemoglobin levels and clinical outcomes in patients undergoing extracorporeal circulation auxiliary to open heart surgery, with the ultimate goal of improving surgical success rates and enhancing patients’ quality of life.

METHODS: A retrospective analysis was conducted on data from the Medical Information Mart for Intensive Care IV 2.2 (MIMIC-IV 2.2) database, including 4144 patients. The patients were categorized into five groups based on their minimum hemoglobin levels during hospitalization. Baseline characteristics, clinical scores, laboratory results, and clinical outcome data were collected. Statistical analyses utilized descriptive statistics, ANOVA or Kruskal-Wallis tests, Kaplan-Meier method, and Log-rank test.

RESULTS: The results revealed a significant correlation between hemoglobin levels and in-hospital mortality, as well as mortality rates at 30 days, 60 days, and 180 days (p < 0.001). Patients with lower hemoglobin levels exhibited higher mortality rates. However, once hemoglobin levels exceeded 7g/dL, no significant difference in mortality rates was observed (p = 0.557). Additionally, lower hemoglobin levels were associated with prolonged hospital stay, ICU admission time, and mechanical ventilation time (p < 0.001). Furthermore, hemoglobin levels were significantly correlated with complication risk, norepinephrine dosage, and red blood cell transfusion volume (p < 0.001). However, there was no significant difference among the groups in terms of major complications, specifically sepsis (p > 0.05).

CONCLUSION: The study highlights the importance of managing hemoglobin levels in patients undergoing heart surgery with extracorporeal circulation. Hemoglobin levels can serve as valuable indicators for predicting clinical outcomes and guiding treatment decisions. Physicians should carefully consider hemoglobin levels to optimize transfusion strategies and improve postoperative patient outcomes. Further research and intervention studies are warranted to validate and implement these findings in clinical practice.

PMID:38062386 | DOI:10.1186/s12872-023-03647-4

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Association between prior-night sleep and next-day fatigue in older adults: a daily diary study

BMC Geriatr. 2023 Dec 7;23(1):817. doi: 10.1186/s12877-023-04539-0.

ABSTRACT

BACKGROUND: Fatigue is known as an element of frailty. Sleep problems (e.g., short sleep duration and low sleep quality) can increase fatigue, but the day-to-day relationship between sleep and fatigue has not been studied well in older adults. Using a daily diary method, this study examined the within- and between-person associations between sleep and fatigue in older adults.

METHODS: The study recruited 56 Japanese community dwellers (age: 82-86 years; female: 37.5%). Participants responded to a daily diary questionnaire at the end of each day. Over seven days, time in bed and satisfaction were measured after waking up, whereas fatigue was assessed before going to bed. We included person-level covariates (demographic factors, and physical and mental health) and day-level covariates (time in study, and positive and negative emotions). Multilevel models were estimated to examine within- and between-person associations.

RESULTS: At the within-person level, on days following short and long time in bed and days following low levels of sleep satisfaction, individuals felt higher levels of fatigue compared with usual days. At the between-person level, no statistically significant differences in fatigue were observed between individuals with long and short time in bed.

CONCLUSIONS: The findings suggest that prior-day sleep is associated with next-day fatigue in older adults. Long and short sleep duration and low sleep quality can lead to fatigue. Considering that sleep is a modifiable health behavior, appropriate management of sleep behavior may reduce fatigue.

PMID:38062384 | DOI:10.1186/s12877-023-04539-0