Category: Nevin Manimala

Patient Saf Surg. 2022 Jun 10;16(1):20. doi: 10.1186/s13037-022-00329-6.

ABSTRACT

BACKGROUND: Ministry of Health (MOH) of Ethiopia adopted World Health Organization’s evidence-proven surgical safety checklist (SSC) to reduce the occurrence of surgical complications, i.e., death, disability and prolong hospitalization. MOH commissioned this evaluation to learn about SSC completeness and compliance, and its effect on magnitude of surgical complications.

METHODS: Health institution-based cross-sectional study with retrospective surgical chart audit was used to evaluate SSC utilization in 172 public and private health facilities in Ethiopia, December 2020-May 2021. A total of 1720 major emergency and elective surgeries in 172 (140 public and 32 private) facilities were recruited for chart review by an experienced team of surgical clinicians. A pre-tested tool was used to abstract data from patient charts and national database. Analyzed descriptive, univariable and bivariable data using Stata version-15 statistical software.

RESULTS: In 172 public and private health facilities across Ethiopia, 1603 of 1720 (93.2%) patient charts were audited; representations of public and private facilities were 81.4% (n = 140) and 18.6% (n = 32), respectively. Of surgeries that utilized SSC (67.6%, 1083 of 1603), the proportion of SSC that were filled completely and correctly were 60.8% (659 of 1083). Surgeries compliant to SSC guide achieved a statistically significant reduction in perioperative mortality (P = 0.002) and anesthesia adverse events (P = 0.005), but not in Surgical Site Infection (P = 0.086). Non-compliant surgeries neither utilized SSC nor completed the SSC correctly, 58.9% (944 of 1603).

CONCLUSIONS: Surgeries that adhered to the SSC achieved a statistically significant reduction in perioperative complications, including mortality. Disappointingly, a significant number of surgeries (58.9%) failed to adhere to SSC, a missed opportunity for reducing complications.

PMID:35689263 | DOI:10.1186/s13037-022-00329-6

BMC Med Educ. 2022 Jun 11;22(1):451. doi: 10.1186/s12909-022-03524-2.

ABSTRACT

BACKGROUND: Medical students in China who face the dual pressure of study and employment tend to experience subclinical depressive symptoms. Parental care plays an important direct and indirect role in the psychological development of medical students, and the extent and mechanism of this role urgently need to be studied and discussed.

METHODS: After simple random sampling and screening of valid questionnaires, data from a total of 924 people were used. The participants completed the parental bonding instrument, self-rating depression scale, Chinese version of the Jefferson empathy scale-medical student edition and self-rating anxiety scale to evaluate parental care, empathy, depressive symptoms and anxiety. The data were statistically processed using a descriptive analysis, correlation analysis and test of moderated mediation.

RESULTS: Maternal care had a significant negative predictive effect on depressive symptoms among medical students. Strong maternal care can reduce the occurrence of depressive symptoms in medical students. Empathy played a positive mediating role such that both types of empathy could alleviate the effect of weak maternal care on the depressive symptoms of medical students. However, neither cognitive empathy nor affective empathy played a mediating role in the relationship between paternal care and depressive symptoms. Nevertheless, the relationship between maternal care and empathy was moderated by the medical students’ gender.

CONCLUSIONS: The effect of this relationship on female medical students deserves special attention. The results of this study provide a reference and basis for the adjustment of medical education. This study could also help in the design of effective psychological intervention measures to reduce the degree of depressive symptoms and enhance personal empathy.

PMID:35689260 | DOI:10.1186/s12909-022-03524-2

Arch Public Health. 2022 Jun 10;80(1):155. doi: 10.1186/s13690-022-00909-z.

ABSTRACT

BACKGROUND: The local Health Interview Study (LHIS) was developed to gain health information at the level of the municipality in Flanders, the northern part of Belgium. It enables municipalities to make evidence-based decisions in their public health policy. To test the feasibility of implementing the LHIS, a pilot study was conducted in Melle, a small Flemish municipality with 11.736 inhabitants.

METHODS: The target sample size was 1000 (≥ 15 years). A systematic sampling technique was applied with substitutes for non-respondents who were matched in terms of statistical sector, age and sex. Selected persons were contacted by post to complete the questionnaire and in case of non-response, a reminder was sent. Questionnaires were collected using a concurrent mixed-mode design: a paper and pencil, and web option. All questions were selected from the Belgian Health Interview Survey relating to health status and determinants of health.

RESULTS: One thousand twenty-two questionnaires were obtained after inviting 3137 individuals (response rate = 32.6%). Older adults were more likely to participate than younger adults, and women more than men. The final sample resembled the initial sample in terms of sex and statistical sector, but not in terms of age. Younger adults were underrepresented whereas older adults were overrepresented. Lastly, older adults were more likely to fill in the questionnaire on paper than younger adults, and women more than men.

CONCLUSION: The LHIS can be successfully implemented in Flemish municipalities. The method, however, does not guarantee that the composition of the final sample reflects the initial sample. Therefore, weights should be added in the analyses to correct for potential deviations in sample composition. Furthermore, implementing a sequential mixed-mode design with a web option preceding a paper and pencil option in future studies could reduce costs and improve data quality.

PMID:35689255 | DOI:10.1186/s13690-022-00909-z

Ital J Pediatr. 2022 Jun 10;48(1):88. doi: 10.1186/s13052-022-01273-y.

ABSTRACT

BACKGROUND: COVID-19 lockdown caused sudden changes in people’s lifestyle, as a consequence of the forced lockdown imposed by governments all over the world. We aimed to evaluate the impact of lockdown on body mass index (BMI) in a cohort of allergic children and adolescents.

METHODS: From the first of June until the end of October 2020, we submitted a written questionnaire to all the patients who, after lockdown, carried out a visit at the Pediatric Allergy Unit of the Department of Mother-Child, Urological Science, Sapienza University of Rome. The questionnaire was composed by 10 questions, referring to the changes in their daily activities. Data were extrapolated from the questionnaire and then analyzed considering six variables: BMI before and BMI after lockdown, sugar intake, sport, screens, sleep, and anxiety.

RESULTS: One hundred fifty-three patients agreed to answer our questionnaire. Results showed a statistically significant increase in the BMI after lockdown (20.97 kg/m2 ± 2.63) with respect to the BMI before lockdown (19.18 kg/m2 ± 2.70). A multivariate regression analysis showed that the two variables that mostly influenced the increase in BMI were sleep and anxiety.

CONCLUSIONS: For the analyzed cohort of allergic children and adolescents we obtained significant gain in BMI as consequences of lockdown, which can be explained by many factors: high consumption of consolatory food, less sport activities, more time spent in front of screens, sleep alteration associated with increased anxiety. All these factors acted together, although sleep alteration and increased anxiety were the most influential factors that led to the worsening or the onset of weight gain, creating the basis for future health problems.

PMID:35689248 | DOI:10.1186/s13052-022-01273-y

Genome Med. 2022 Jun 10;14(1):61. doi: 10.1186/s13073-022-01066-2.

ABSTRACT

BACKGROUND: The continuous emergence of SARS-CoV-2 variants of concern (VOC) with immune escape properties, such as Delta (B.1.617.2) and Omicron (B.1.1.529), questions the extent of the antibody-mediated protection against the virus. Here we investigated the long-term antibody persistence in previously infected subjects and the extent of the antibody-mediated protection against B.1, B.1.617.2 and BA.1 variants in unvaccinated subjects previously infected, vaccinated naïve and vaccinated previously infected subjects.

METHODS: Blood samples collected 15 months post-infection from unvaccinated (n=35) and vaccinated (n=41) previously infected subjects (Vo’ cohort) were tested for the presence of antibodies against the SARS-CoV-2 spike (S) and nucleocapsid (N) antigens using the Abbott, DiaSorin, and Roche immunoassays. The serum neutralising reactivity was assessed against B.1, B.1.617.2 (Delta), and BA.1 (Omicron) SARS-CoV-2 strains through micro-neutralisation. The antibody titres were compared to those from previous timepoints, performed at 2- and 9-months post-infection on the same individuals. Two groups of naïve subjects were used as controls, one from the same cohort (unvaccinated n=29 and vaccinated n=20) and a group of vaccinated naïve healthcare workers (n=61).

RESULTS: We report on the results of the third serosurvey run in the Vo’ cohort. With respect to the 9-month time point, antibodies against the S antigen significantly decreased (P=0.0063) among unvaccinated subjects and increased (P<0.0001) in vaccinated individuals, whereas those against the N antigen decreased in the whole cohort. When compared with control groups (naïve Vo’ inhabitants and naïve healthcare workers), vaccinated subjects that were previously infected had higher antibody levels (P<0.0001) than vaccinated naïve subjects. Two doses of vaccine elicited stronger anti-S antibody response than natural infection (P<0.0001). Finally, the neutralising reactivity of sera against B.1.617.2 and BA.1 was 4-fold and 16-fold lower than the reactivity observed against the original B.1 strain.

CONCLUSIONS: These results confirm that vaccination induces strong antibody response in most individuals, and even stronger in previously infected subjects. Neutralising reactivity elicited by natural infection followed by vaccination is increasingly weakened by the recent emergence of VOCs. While immunity is not completely compromised, a change in vaccine development may be required going forward, to generate cross-protective pan-coronavirus immunity in the global population.

PMID:35689243 | DOI:10.1186/s13073-022-01066-2

BMC Health Serv Res. 2022 Jun 11;22(1):769. doi: 10.1186/s12913-022-08152-6.

ABSTRACT

BACKGROUND: Implementation of interventions for the prevention of mother-to-child transmission (PMTCT) of HIV in low- and middle-income countries, faces several barriers including health systems challenges such as health providers’ knowledge and use of recommended guidelines. This study assessed PMTCT providers’ knowledge of national PMTCT guideline recommendations in Lagos, Nigeria.

METHODS: This was a cross-sectional survey of a purposive sample of twenty-three primary health care (PHC) centers in the five districts of Lagos, Nigeria. Participants completed a self-administered 16-item knowledge assessment tool created from the 2016 Nigeria PMTCT guidelines. Research Electronic Data Capture (REDCap) was used for data entry and R statistical software used for data analysis. The Chi square test with a threshold of P < 0.05 considered as significant was used to test the hypothesis that at least 20% of service providers will have good knowledge of the PMTCT guidelines.

RESULTS: One hundred and thirteen (113) respondents participated in the survey. Most respondents knew that HIV screening at the first prenatal clinic was an entry point to PMTCT services (97%) and that posttest counselling of HIV-negative women was necessary (82%). Similarly, most respondents (89%) knew that early infant diagnosis (EID) of HIV should occur at 6-8 weeks of life (89%). However, only four (3.5%) respondents knew the group counselling and opt-out screening recommendation of the guidelines; 63% did not know that haematocrit check should be at every antenatal clinic visit. Forty-eight (42.5%) service providers had good knowledge scores, making the hypothesis accepted. Knowledge score was not influenced by health worker cadre (p = 0.436), training(P = 0.537) and professional qualification of ≤5 years (P = 0.43).

CONCLUSION: Service providers’ knowledge of the PMTCT guidelines recommendations varied. The knowledge of group counselling and opt-out screening recommendations was poor despite the good knowledge of infant nevirapine prophylaxis. The findings highlight the need for training of service providers.

PMID:35689236 | DOI:10.1186/s12913-022-08152-6

Cardiovasc Diabetol. 2022 Jun 10;21(1):105. doi: 10.1186/s12933-022-01541-5.

ABSTRACT

BACKGROUND: Recent studies have suggested that triglyceride-glucose (TyG) index is an independent predictor of cardiovascular disease (CVD). However, the impact of long-term visit-to-visit variability in TyG index on the risk of CVD is not known. We aimed to investigate the longitudinal association between baseline and mean TyG index as well as TyG index variability and incident CVD in a Chinese population.

METHODS: We included 49,579 participants without previous history of CVD in the Kailuan study who underwent three health examinations (2006, 2008, and 2010) and were followed up for clinical events until 2019. TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. We measured TyG index variability as the SD of the residuals obtained from a linear regression on the three TyG index measurements for each individual. Multivariate-adjusted Cox models were used to estimate the adjusted hazard ratio (aHR) and 95% confidence interval (CI) with incident CVD.

RESULTS: During a median follow-up time of 9.0 years, 2404 developed CVD. The highest tertile (T3) of baseline and mean TyG index were each associated with higher CVD incidence as compared with the lowest tertile (T1): aHR, 1.25; 95% CI 1.11-1.42; and aHR 1.40; 95% CI 1.24-1.58, respectively. Tertile 3 of TyG index variability was associated with increased CVD incidence compared to T1 group (aHR, 1.12; 95% CI 1.01-1.24). Similar findings were observed in a series of sensitivity analyses.

CONCLUSION: Higher TyG index level and greater TyGindex variability were each independently associated with a higher incidence of CVD.

PMID:35689232 | DOI:10.1186/s12933-022-01541-5

Child Adolesc Psychiatry Ment Health. 2022 Jun 10;16(1):42. doi: 10.1186/s13034-022-00474-x.

ABSTRACT

BACKGROUND: Adolescents have been deeply exposed to negative consequences of social distancing imposed by Covid-19. There is a lack of longitudinal studies regarding the impact on adolescents of this unfavorable condition, and their results are controversial. The aim of the present prospective study is to assess psychopathological symptoms in adolescent students over time and to evaluate what type of impact the Covid-19 pandemic had on adolescents. Moreover, the association between mental health indexes, potential risk and resilience factors is explored.

METHODS: Psychopathological symptoms (i.e., anxiety, depression, stress, emotional dysregulation, maladaptive behaviours), and potential risk and resilience factors (i.e., childhood trauma, emotional regulation skills, family function, personality traits) were assessed among a sample of 153 students (72% female; mean age 16.1 ± 0.49), living in a medium-size city in the north of Italy, at two time points: before the outbreak of the Covid-19 pandemic (November 2019-January 2020) and 1 year later (April-May 2021).

RESULTS: After 1 year, we found an increase in mean scores on anxiety, stress for future uncertainty, and higher frequency of maladaptive behaviours. By contrast, the level of stress related to social domains (i.e., school attendance, romantic relationships, peer pressure) decreased. Dysfunctional emotional regulation skills, childhood trauma, low family functioning, and specific personality traits were associated to higher psychopathological symptoms. Cluster analysis detected three groups of youths based on their change over time in psychopathological symptoms: those who worsened (N = 23; 15%), improved (N = 55; 34%), or remained stable (N = 75; 46%). After controlling for baseline mental health status, those adolescents reporting increase in self-harm (OR = 2.61; p < 0.001), binge-drinking (OR = 3.0; p = 0.007), aggressiveness (OR 1.92; p = 0.004), and binge-eating (OR 2.55; p = 0.003) were more likely to present a worsened mental health condition.

CONCLUSION: The present results suggest that the Covid-19 pandemic seems to have had a different impact on subgroups of students. Indeed, we found a global worsening of psychological well-being only in a subgroup of adolescents, otherwise other students remained stable or improved. Increased frequency of maladaptive behaviors was found as a predictor of worsened mental health, therefore interventions to strengthen emotional regulation strategies are warranted. Finally, the decrease of stress in social domains could be due to reduction of potential triggering situations, thus indicating only a temporary beneficial effect that requires careful monitoring.

PMID:35689203 | DOI:10.1186/s13034-022-00474-x

BMC Genomics. 2022 Jun 10;23(1):433. doi: 10.1186/s12864-022-08542-4.

ABSTRACT

BACKGROUND: Shotgun metagenomics yields ever richer and larger data volumes on the complex communities living in diverse environments. Extracting deep insights from the raw reads heavily depends on the availability of fast, accurate and user-friendly biodiversity analysis tools.

RESULTS: Because environmental samples may contain strains and species that are not covered in reference databases and because protein sequences are more conserved than the genes encoding them, we explore the alternative route of taxonomic profiling based on protein coding regions translated from the shotgun metagenomics reads, instead of directly processing the DNA reads. We therefore developed the Unipept MetaGenomics Analysis Pipeline (UMGAP), a highly versatile suite of open source tools that are implemented in Rust and support parallelization to achieve optimal performance. Six preconfigured pipelines with different performance trade-offs were carefully selected, and benchmarked against a selection of state-of-the-art shotgun metagenomics taxonomic profiling tools.

CONCLUSIONS: UMGAP’s protein space detour for taxonomic profiling makes it competitive with state-of-the-art shotgun metagenomics tools. Despite our design choices of an extra protein translation step, a broad spectrum index that can identify both archaea, bacteria, eukaryotes and viruses, and a highly configurable non-monolithic design, UMGAP achieves low runtime, manageable memory footprint and high accuracy. Its interactive visualizations allow for easy exploration and comparison of complex communities.

PMID:35689184 | DOI:10.1186/s12864-022-08542-4

BMC Med Res Methodol. 2022 Jun 11;22(1):169. doi: 10.1186/s12874-022-01638-1.

ABSTRACT

BACKGROUND: Separation or monotone likelihood may exist in fitting process of the accelerated failure time (AFT) model using maximum likelihood approach when sample size is small and/or rate of censoring is high (rare event) or there is at least one strong covariate in the model, resulting in infinite estimates of at least one regression coefficient.

METHODS: This paper investigated the properties of the maximum likelihood estimator (MLE) of the regression parameters of the AFT models for small sample and/or rare-event situation and addressed the problems by introducing a penalized likelihood approach. The penalized likelihood function and the corresponding score equation is derived by adding a penalty term to the existing likelihood function, which was originally proposed by Firth (Biometrika, 1993) for the exponential family models. Further, a post-hoc adjustment of intercept and scale parameters is discussed keeping them out of penalization to ensure accurate prediction of survival probability. The penalized method was illustrated for the widely used log-location-scale family models such as Weibull, Log-normal and Log-logistic distributions and compared the models and methods uisng an extensive simulation study.

RESULTS: The simulation study, performed separately for each of the log-location-scale models, showed that Firth’s penalized likelihood succeeded to solve the problem of separation and achieve convergence, providing finite estimates of the regression coefficients, which are not often possible by the MLE. Furthermore, the proposed penalized method showed substantial improvement over MLE by providing smaller amount of bias, mean squared error (MSE), narrower confidence interval and reasonably accurate prediction of survival probabilities. The methods are illustrated using prostate cancer data with existence of separation, and results supported the simulation findings.

CONCLUSION: When sample size is small (≤ 50) or event is rare (i.e., censoring proportion is high) and/or there is any evidence of separation in the data, we recommend to use Firth’s penalized likelihood method for fitting AFT model.

PMID:35689190 | DOI:10.1186/s12874-022-01638-1