Nevin Manimala

Inj Epidemiol. 2022 Jul 21;9(1):24. doi: 10.1186/s40621-022-00389-3.

ABSTRACT

BACKGROUND: Temporary, voluntary storage of firearms away from the home during times of risk is a recommended strategy for suicide prevention. Law enforcement agencies (LEAs) are often suggested as storage sites, and online maps in Colorado and Washington display LEAs willing to consider storage. Questions remain about the experiences and views of LEAs, including barriers to providing storage.

METHODS: LEAs in Colorado and Washington were invited to complete a survey via mail or online from June to July 2021; invitations were sent by email and mail, with telephone calls to non-responders. Survey data were analyzed using descriptive statistics, with testing between states and other subgroups using Fisher’s exact tests.

RESULTS: Overall, 168 LEAs in Colorado (n = 91) or Washington (n = 77) participated (40% participation rate). Of those, 53% provided temporary, voluntary storage upon request by community members at the time of the survey. More LEAs said they had ever provided storage when the requester was under a court order (74% overall). Over half (60%) of responding LEAs had received at least one storage request in the prior 12 months. Many (41%) said they had declined to return a firearm after temporary storage due to safety concerns. Most LEAs supported engagement in suicide prevention (89%) and provision of community services (77%), but they simultaneously preferred being a storage option of last resort (73%). Factors negatively influencing storage provision included liability and funding concerns.

CONCLUSIONS: In Colorado and Washington, half of LEAs currently offer temporary, voluntary firearm storage upon request. While LEAs support suicide prevention and community engagement, broader provision of storage and participation in online maps may be limited by logistic, liability, and financial concerns. Addressing these barriers may facilitate broader suicide prevention efforts.

PMID:35864502 | DOI:10.1186/s40621-022-00389-3

Lipids Health Dis. 2022 Jul 21;21(1):60. doi: 10.1186/s12944-022-01673-3.

ABSTRACT

BACKGROUND: Trimethylamine N-oxide (TMAO)-related metabolites are associated with the pathogenesis of atherosclerotic cardiovascular disease (ASCVD) and are known to disrupt lipid metabolism. The aims of this study were to evaluate the associations between TMAO-related metabolites and blood lipids and determine how lowering the lipid profile via rosuvastatin therapy influences TMAO-related metabolites.

METHODS: A total of 112 patients with suspected ASCVD were enrolled in this study. The levels of plasma TMAO-related metabolites, including TMAO, choline, carnitine, betaine, and γ-butyrobetaine (GBB), were analyzed by stable isotope dilution liquid chromatography-tandem mass spectrometry (LC/MS/MS) before and after rosuvastatin therapy in all patients. Statistical methods were used to detect the associations between TMAO-related metabolites and blood lipids and determine how rosuvastatin therapy alters the levels of these metabolites.

RESULTS: A significant positive correlation was found between TMAO and triglycerides (TG) (r = 0.303, P < 0.05). Furthermore, significant negative correlations were found between TMAO and high-density lipoprotein cholesterol (HDL-c) and between betaine and low-density lipoprotein cholesterol (LDL-c) (r = – 0.405 and – 0.308, respectively, both P < 0.01). Compared to baseline, significantly lower TMAO levels and higher carnitine, betaine and GBB levels were observed after rosuvastatin therapy, while the lipids decreased significantly (P < 0.05). The significant correlation between TMAO and TG or between betaine and LDL-c disappeared after rosuvastatin therapy (r = 0.050 and – 0.172, respectively, both P > 0.05). However, a significantly positive association between carnitine and TC and a negative association between carnitine and LDL-c or between betaine and TG were found after adjustment for sex, age, body mass index (BMI) and lipids (P < 0.05).

CONCLUSIONS: This study suggests that TMAO-related metabolites are significantly associated with blood lipids, although some of them are changed postrosuvastatin therapy. Lower TMAO and higher TMAO precursors were observed after rosuvastatin therapy compared to baseline. This study indicates that elevated TMAO precursors after rosuvastatin therapy and their potential impact on ASCVD should be considered in the clinic.

PMID:35864500 | DOI:10.1186/s12944-022-01673-3

BMC Endocr Disord. 2022 Jul 21;22(1):186. doi: 10.1186/s12902-022-01073-9.

ABSTRACT

BACKGROUND: Diabetes mellitus (DM) and its cardiovascular disease (CVD) complication are among the most frequent causes of death worldwide. However, the metabolites linking up diabetes and CVD are less understood. In this study, we aimed to evaluate serum acylcarnitines and amino acids in postmenopausal women suffering from diabetes with different severity of CVD and compared them with healthy controls.

METHODS: Through a cross-sectional study, samples were collected from postmenopausal women without diabetes and CVD as controls (n = 20), patients with diabetes and without CVD (n = 16), diabetes with low risk of CVD (n = 11), and diabetes with a high risk of CVD (n = 21) referred for CT angiography for any reason. Metabolites were detected by a targeted approach using LC-MS/MS and metabolic -alterations were assessed by applying multivariate statistical analysis. The diagnostic ability of discovered metabolites based on multivariate statistical analysis was evaluated by ROC curve analysis.

RESULTS: The study included women aged from 50-80 years with 5-30 years of menopause. The relative concentration of C14:1, C14:2, C16:1, C18:1, and C18:2OH acylcarnitines decreased and C18 acylcarnitine and serine increased in diabetic patients compared to control. Besides, C16:1 and C18:2OH acylcarnitines increased in high-risk CVD diabetic patients compared to no CVD risk diabetic patients.

CONCLUSION: Dysregulation of serum acylcarnitines and amino acids profile correlated with different CAC score ranges in diabetic postmenopausal women. (Ethic approval No: IR.TUMS.EMRI.REC.1399.062).

PMID:35864499 | DOI:10.1186/s12902-022-01073-9

BMC Health Serv Res. 2022 Jul 21;22(1):936. doi: 10.1186/s12913-022-08319-1.

ABSTRACT

BACKGROUND: There is limited understanding of the drivers of increasing infant accident and emergency (A&E) attendances and emergency hospital admissions across England. We examine variations in use of emergency hospital services among infants by local areas in England and investigate the extent to which infant and socio-economic factors explain these variations.

METHODS: Birth cohort study using linked administrative Hospital Episode Statistics data in England. Singleton live births between 1-April-2012 and 31-March-2019 were followed up for 1 year; from 1-April-2013 (from the discharge date of their birth admission) until their first birthday, death or 31-March-2019. Mixed effects negative binomial models were used to calculate incidence rate ratios for A&E attendances and emergency admissions and mixed effects logistic regression models estimated odds ratio of conversion (the proportion of infants subsequently admitted after attending A&E). Models were adjusted for individual-level factors and included a random effect for local authority (LA).

RESULTS: The cohort comprised 3,665,414 births in 150 English LAs. Rates of A&E attendances and emergency admissions were highest amongst: infants born < 32 weeks gestation; with presence of congenital anomaly; and to mothers < 20-years-old. Area-level deprivation was positively associated with A&E attendance rates, but not associated with conversion probability. A&E attendance rates were highest in the North East (916 per 1000 child-years, 95%CI: 911 to 921) and London (876 per 1000, 95%CI: 874 to 879), yet London had the lowest emergency admission rates (232 per 1000, 95%CI: 231 to 234) and conversion probability (25% vs 39% in South West). Adjusting for individual-level factors did not significantly affect variability in A&E attendance and emergency admission rates by local authority.

CONCLUSIONS: Drivers of A&E attendances and emergency admissions include individual-level factors such being born premature, with congenital anomaly and from socio-economically disadvantaged young parent families. Support for such vulnerable infants and families should be provided alongside preventative health care in primary and community care settings. The impact of these services requires further investigation. Substantial geographical variations in rates were not explained by individual-level factors. This suggests more detailed understanding of local and underlying service-level factors would provide targets for further research on mechanisms and policy priority.

PMID:35864495 | DOI:10.1186/s12913-022-08319-1

BMC Womens Health. 2022 Jul 21;22(1):302. doi: 10.1186/s12905-022-01886-9.

ABSTRACT

INTRODUCTION: Women heads of households (widows or divorcees) are vulnerable groups in society who face various psychological problems and have less resilience than other women. Therefore, the present study was conducted to determine the effectiveness of resilience educational intervention on the psychological capital of poor widows in Fasa city, south Iran.

MATERIALS AND METHODS: In this quasi-experimental study, 120 widows covered by Imam Khomeini Relief Foundation were selected by a simple random sampling method based on a random Efron algorithm (Efron coin) and randomly assigned into two interventions and control groups (60 people each) in the second half of 2021. About 8 training sessions on resilience and psychological capital were held for the experimental group through training clips, audio transmissions, and podcasts. Data were collected using demographic characteristics forms, widowers’ resilience assessment questionnaires, and Luten’s psychological capital scale for testing and control before and two months after the intervention. Data were analyzed with Chi-square test, independent and paired t-test using SPSS V. 26 software.

RESULTS: There were differences between the two groups at pretest in demographic variables and psychological capital and its subscales, and resilience and its subscales (P ≥ 0.05).. But two months after the educational intervention, a statistically significant increase was observed in the experimental group in these variables compared to the control group (p < 0.05). It indicates that there was an improvement in the outcomes from pretest to post-test within the intervention and no change in the outcomes over time within the control group.

DISCUSSION AND CONCLUSION: Using a resilience-based educational approach as a novelty of this research to promote psychological capital and resilience can increase resilience and psychological capital in widows. Then, considering the positive effect of this educational approach and the low cost of this intervention, it seems that the implementation of such interventions should be included in the plans related to widows.

PMID:35864493 | DOI:10.1186/s12905-022-01886-9

BMC Pediatr. 2022 Jul 22;22(1):439. doi: 10.1186/s12887-022-03499-5.

ABSTRACT

BACKGROUND: Vitamin A is a nutrient that is required in a small amount for normal visual system function, growth and development, epithelia’s cellular integrity, immune function, and reproduction. Vitamin A has a significant and clinically important effect since it has been associated with a reduction in all-cause and diarrhea mortality. The aim of this study was to determine factors associated with national vitamin A supplementation among children aged 6-35 months.

METHOD: The data for this study was extracted from the 2019 Ethiopian Mini Demographic and Health Survey. A total weighted sample of 2242 women with children aged 6-35 months was included in the study. The analysis was performed using Stata version 14.2 software. Applying sampling weight for descriptive statistics and complex sample design for inferential statistics, a manual backward stepwise elimination approach was applied. Finally, statistical significance declared at the level of p value < 0.05.

RESULT: The overall coverage of vitamin A supplementation among children aged 6-35 months for the survey included was 44.4 95% CI (40.15, 48.74). In the multivariable analysis, mothers who had four or more antenatal visits [AOR = 2.02 (95% CI: 1.34, 3.04)] were two times more likely to receive vitamin A capsules for their children than mothers who had no antenatal visits. Children from middle-wealth quintiles had higher odds of receiving vitamin A capsules in comparison to children from the poorest wealth quintile [AOR = 1.77 (95% CI: 1.14, 2.73)]. Older children had higher odds of receiving vitamin A capsules than the youngest ones. Other factors that were associated with vitamin A supplementation were mode of delivery and region.

CONCLUSION: The coverage of vitamin A supplementation in Ethiopia remains low and it is strongly associated with antenatal visit, household wealth index and age of child. Expanding maternal health services like antenatal care visits should be prioritized.

PMID:35864488 | DOI:10.1186/s12887-022-03499-5

BMC Pediatr. 2022 Jul 22;22(1):441. doi: 10.1186/s12887-022-03503-y.

ABSTRACT

BACKGROUND: Mortality among under-five children in Tanzania remains high. While early presentation for treatment increases likelihood of survival, delays to care are common and factors causing delay to presentation among critically ill children are unknown. In this study delay was defined as presentation to the emergency department of tertially hospital i.e. Muhimbili National Hospital, more than 48 h from the onset of the index illness.

METHODOLOGY: This was a prospective cohort study of critically ill children aged 28 days to 14 years attending emergency department at Muhimbili National Hospital in Tanzania from September 2019 to January 2020. We documented demographics, time to ED presentation, ED interventions and 30-day outcome. The primary outcome was the association of delay with mortality and secondary outcomes were predictors of delay among critically ill paediatric patients. Logistic regression and relative risk were calculated to measure the strength of the predictor and the relationship between delay and mortality respectively.

RESULTS: We enrolled 440 (59.1%) critically ill children, their median age was 12 [IQR = 9-60] months and 63.9% were males. The median time to Emergency Department arrival was 3 days [IQR = 1-5] and more than half (56.6%) of critically ill children presented to Emergency Department in > 48 h whereby being an infant, self-referral and belonging to poor family were independent predictors of delay. Infants and those referred from other facilities had 2.4(95% CI 1.4-4.0) and 1.8(95% CI 1.1-2.8) times increased odds of presenting late to the Emergency Department respectively. The overall 30-day in-hospital mortality was 26.5% in which those who presented late were 1.3 more likely to die than those who presented early (RR = 1.3, CI: 0.9-1.9). Majority died > 24 h of Emergency Department arrival (P-value = 0.021).

CONCLUSION: The risk of in-hospital mortality among children who presented to the ED later than 48 h after onset of illness was 1.3 times higher than for children who presented earlier than 48 h. It could be anywhere from 10% lower to 90% higher than the point estimate. However, the effect size was statistically not significant since the confidence interval included the null value Qualitative and time-motion studies are needed to evaluate the care pathway of critically ill pediatric patients to identify preventable delays in care.

PMID:35864482 | DOI:10.1186/s12887-022-03503-y

BMC Infect Dis. 2022 Jul 21;22(1):637. doi: 10.1186/s12879-022-07617-7.

ABSTRACT

BACKGROUND: Airspace disease as seen on chest X-rays is an important point in triage for patients initially presenting to the emergency department with suspected COVID-19 infection. The purpose of this study is to evaluate a previously trained interpretable deep learning algorithm for the diagnosis and prognosis of COVID-19 pneumonia from chest X-rays obtained in the ED.

METHODS: This retrospective study included 2456 (50% RT-PCR positive for COVID-19) adult patients who received both a chest X-ray and SARS-CoV-2 RT-PCR test from January 2020 to March of 2021 in the emergency department at a single U.S.

INSTITUTION: A total of 2000 patients were included as an additional training cohort and 456 patients in the randomized internal holdout testing cohort for a previously trained Siemens AI-Radiology Companion deep learning convolutional neural network algorithm. Three cardiothoracic fellowship-trained radiologists systematically evaluated each chest X-ray and generated an airspace disease area-based severity score which was compared against the same score produced by artificial intelligence. The interobserver agreement, diagnostic accuracy, and predictive capability for inpatient outcomes were assessed. Principal statistical tests used in this study include both univariate and multivariate logistic regression.

RESULTS: Overall ICC was 0.820 (95% CI 0.790-0.840). The diagnostic AUC for SARS-CoV-2 RT-PCR positivity was 0.890 (95% CI 0.861-0.920) for the neural network and 0.936 (95% CI 0.918-0.960) for radiologists. Airspace opacities score by AI alone predicted ICU admission (AUC = 0.870) and mortality (0.829) in all patients. Addition of age and BMI into a multivariate log model improved mortality prediction (AUC = 0.906).

CONCLUSION: The deep learning algorithm provides an accurate and interpretable assessment of the disease burden in COVID-19 pneumonia on chest radiographs. The reported severity scores correlate with expert assessment and accurately predicts important clinical outcomes. The algorithm contributes additional prognostic information not currently incorporated into patient management.

PMID:35864468 | DOI:10.1186/s12879-022-07617-7

BMC Pregnancy Childbirth. 2022 Jul 21;22(1):582. doi: 10.1186/s12884-022-04856-z.

ABSTRACT

BACKGROUND: The lives of babies and mothers are at risk due to the uneven distribution of healthcare facilities required for emergency cesarean sections (CS). However, CS without medical indications might cause complications for mothers and babies, which is a global health problem. Identifying spatiotemporal variations of CS rates in each geographical area could provide helpful information to understand the status of using CS services.

METHODS: This cross-sectional study explored spatiotemporal patterns of CS in northeast Iran from 2016 to 2020. Space-time scan statistics and spatial interaction analysis were conducted using geographical information systems to visualize and explore patterns of CS services.

RESULTS: The temporal analysis identified 2017 and 2018 as the statistically significant high clustered times in terms of CS rate. Five purely spatial clusters were identified that were distributed heterogeneously in the study region and included 14 counties. The spatiotemporal analysis identified four clusters that included 13 counties as high-rate areas in different periods. According to spatial interaction analysis, there was a solid spatial concentration of hospital facilities in the political center of the study area. Moreover, a high degree of inequity was observed in spatial accessibility to CS hospitals in the study area.

CONCLUSIONS: CS Spatiotemporal clusters in the study area reveal that CS use in different counties among women of childbearing age is significantly different in terms of location and time. This difference might be studied in future research to identify any overutilization of CS or lack of appropriate CS in clustered counties, as both put women at risk. Hospital capacity and distance from population centers to hospitals might play an essential role in CS rate variations and spatial interactions among people and CS facilities. As a result, some healthcare strategies, e.g., building new hospitals and empowering the existing local hospitals to perform CS in areas out of service, might be developed to decline spatial inequity.

PMID:35864462 | DOI:10.1186/s12884-022-04856-z

BMC Med Res Methodol. 2022 Jul 21;22(1):198. doi: 10.1186/s12874-022-01653-2.

ABSTRACT

BACKGROUND: The decision to initiate invasive long-term ventilation for a child with complex medical needs can be extremely challenging. TechChild is a research programme that aims to explore the liminal space between initial consideration of such technology dependence and the final decision. This paper presents a best practice example of the development of a unique use of the factorial survey method to identify the main influencing factors in this critical juncture in a child’s care.

METHODS: We developed a within-subjects design factorial survey. In phase 1 (design) we defined the survey goal (dependent variable, mode and sample). We defined and constructed the factors and factor levels (independent variables) using previous qualitative research and existing scientific literature. We further refined these factors based on expert feedback from expert clinicians and a statistician. In phase two (pretesting), we subjected the survey tool to several iterations (cognitive interviewing, face validity testing, statistical review, usability testing). In phase three (piloting) testing focused on feasibility testing with members of the target population (n = 18). Ethical approval was obtained from the then host institution’s Health Sciences Ethics Committee.

RESULTS: Initial refinement of factors was guided by literature and interviews with clinicians and grouped into four broad categories: Clinical, Child and Family, Organisational, and Professional characteristics. Extensive iterative consultations with clinical and statistical experts, including analysis of cognitive interviews, identified best practice in terms of appropriate: inclusion and order of clinical content; cognitive load and number of factors; as well as language used to suit an international audience. The pilot study confirmed feasibility of the survey. The final survey comprised a 43-item online tool including two age-based sets of clinical vignettes, eight of which were randomly presented to each participant from a total vignette population of 480.

CONCLUSIONS: This paper clearly explains the processes involved in the development of a factorial survey for the online environment that is internationally appropriate, relevant, and useful to research an increasingly important subject in modern healthcare. This paper provides a framework for researchers to apply a factorial survey approach in wider health research, making this underutilised approach more accessible to a wider audience.

PMID:35864457 | DOI:10.1186/s12874-022-01653-2