Nevin Manimala

Prim Care Companion CNS Disord. 2022 May 5;24(3):21m03230. doi: 10.4088/PCC.21m03230.

ABSTRACT

Objective: To assess psychological resilience, coping, and related psychological distress in admitted COVID-19 patients. Predictors of subsequent development of posttraumatic stress symptoms (PTSS) and disability were also studied.

Methods: Stable inpatients with COVID-19 (aged > 18 years with mild symptoms) admitted to a tertiary care hospital from April 2020 to December 2020 were recruited for the study. During admission, the patients were assessed for resilience, coping, and psychological distress using the 10-item Connor-Davidson Resilience Scale (CD-RISC-10), Brief COPE (Coping Orientation to Problems Experienced), and 4-item Patient Health Questionnaire (PHQ-4). Similarly, they were assessed at 4 weeks after discharge using the PTSD Checklist for DSM-5 and World Health Organization Disability Assessment Schedule.

Results: A total of 176 patients were recruited for the study and assessed during their admission, and 102 were reassessed during follow-up. Of the patients, 17.6% during admission and 58.8% at follow-up had significant psychological distress (PHQ-4 score > 2). The mean ± SD CD-RISC-10 score was 27.94 ± 5.82. The most used coping strategies were emotional support, religion, and acceptance. Increased resilience was associated with better education (rs[100] = 0.265, P = .007), less psychological distress (r[100] = -0.596, P = .001), and healthy coping strategies. PHQ-4, PCL-5, and disability scores at follow-up were positively correlated (Pearson correlation). The multiple regression model statistically significantly predicted PTSS (F_{7, 94} = 2.660, P < .015, adjusted R² = 0.103).

Conclusions: COVID-19 patients with better resilience are associated with reduced psychological distress. Better resilient traits and reduced psychological distress may prevent ensuing PTSS and disability.

PMID:35522834 | DOI:10.4088/PCC.21m03230

Int J Audiol. 2022 May 6:1-11. doi: 10.1080/14992027.2022.2071345. Online ahead of print.

ABSTRACT

OBJECTIVE: One challenge in extracting the scalp-recorded frequency-following response (FFR) is related to its inherently small amplitude, which means that the response cannot be identified with confidence when only a relatively small number of recording sweeps are included in the averaging procedure.

DESIGN: This study examined how the non-negative matrix factorisation (NMF) algorithm with a source separation constraint could be applied to improve the efficiency of FFR recordings. Conventional FFRs elicited by an English vowel/i/with a rising frequency contour were collected. Study sample: Fifteen normal-hearing adults and 15 normal-hearing neonates were recruited.

RESULTS: The improvements of FFR recordings, defined as the correlation coefficient and root-mean-square differences across a sweep series of amplitude spectrograms before and after the application of the source separation NMF (SSNMF) algorithm, were characterised through an exponential curve fitting model. Statistical analysis of variance indicated that the SSNMF algorithm was able to enhance the FFRs recorded in both groups of participants.

CONCLUSIONS: Such improvements enabled FFR extractions in a relatively small number of recording sweeps, and opened a new window to better understand how speech sounds are processed in the human brain.

PMID:35522832 | DOI:10.1080/14992027.2022.2071345

Prim Care Companion CNS Disord. 2022 May 3;24(3):21m03177. doi: 10.4088/PCC.21m03177.

ABSTRACT

Objective: A range of psychiatric morbidities such as persistent depression, anxiety, insomnia, and posttraumatic stress disorder (PTSD) has been observed in coronavirus disease 2019 (COVID-19) survivors. The objective of this study was to explore the psychological status of health care workers after recovery from COVID-19 and to examine the sociodemographic and clinical factors associated with psychiatric morbidity.

Methods: A cross-sectional study was conducted among health care workers of a tertiary care hospital in South India. The study included health care workers who tested positive for COVID-19 according to the provisional guidelines of the World Health Organization. The data were collected after they tested negative for COVID-19 from September 2020 to October 2020. The study used a semistructured proforma and rating scales such as the 9-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, and Posttraumatic Stress Disorder Checklist for DSM-5 to assess for depression, anxiety, and PTSD.

Results: The results indicate that the prevalence of depression, anxiety, and PTSD among 107 post-COVID patients was 26.2%%, 12.1%, and 3.7%%, respectively. Female sex (P = .017), patients with post-COVID persistent physical symptoms (P = .05), and the duration of fever during the acute phase of COVID-19 infection (P = .005) were found to have a statistically significant association with a higher rate of depression among the study population.

Conclusions: The study findings indicate that all COVID-19 survivors working in the health care sector should be screened for depression and anxiety disorders regularly for early detection and effective management.

PMID:35522828 | DOI:10.4088/PCC.21m03177

PLoS Genet. 2022 May 6;18(5):e1010170. doi: 10.1371/journal.pgen.1010170. Online ahead of print.

ABSTRACT

Polygenic scores link the genotypes of ancient individuals to their phenotypes, which are often unobservable, offering a tantalizing opportunity to reconstruct complex trait evolution. In practice, however, interpretation of ancient polygenic scores is subject to numerous assumptions. For one, the genome-wide association (GWA) studies from which polygenic scores are derived, can only estimate effect sizes for loci segregating in contemporary populations. Therefore, a GWA study may not correctly identify all loci relevant to trait variation in the ancient population. In addition, the frequencies of trait-associated loci may have changed in the intervening years. Here, we devise a theoretical framework to quantify the effect of this allelic turnover on the statistical properties of polygenic scores as functions of population genetic dynamics, trait architecture, power to detect significant loci, and the age of the ancient sample. We model the allele frequencies of loci underlying trait variation using the Wright-Fisher diffusion, and employ the spectral representation of its transition density to find analytical expressions for several error metrics, including the expected sample correlation between the polygenic scores of ancient individuals and their true phenotypes, referred to as polygenic score accuracy. Our theory also applies to a two-population scenario and demonstrates that allelic turnover alone may explain a substantial percentage of the reduced accuracy observed in cross-population predictions, akin to those performed in human genetics. Finally, we use simulations to explore the effects of recent directional selection, a bias-inducing process, on the statistics of interest. We find that even in the presence of bias, weak selection induces minimal deviations from our neutral expectations for the decay of polygenic score accuracy. By quantifying the limitations of polygenic scores in an explicit evolutionary context, our work lays the foundation for the development of more sophisticated statistical procedures to analyze both temporally and geographically resolved polygenic scores.

PMID:35522704 | DOI:10.1371/journal.pgen.1010170

PLoS Comput Biol. 2022 May 6;18(5):e1010039. doi: 10.1371/journal.pcbi.1010039. Online ahead of print.

ABSTRACT

Feedback mechanisms within cell lineages are thought to be important for maintaining tissue homeostasis. Mathematical models that assume well-mixed cell populations, together with experimental data, have suggested that negative feedback from differentiated cells on the stem cell self-renewal probability can maintain a stable equilibrium and hence homeostasis. Cell lineage dynamics, however, are characterized by spatial structure, which can lead to different properties. Here, we investigate these dynamics using spatially explicit computational models, including cell division, differentiation, death, and migration / diffusion processes. According to these models, the negative feedback loop on stem cell self-renewal fails to maintain homeostasis, both under the assumption of strong spatial restrictions and fast migration / diffusion. Although homeostasis cannot be maintained, this feedback can regulate cell density and promote the formation of spatial structures in the model. Tissue homeostasis, however, can be achieved if spatially restricted negative feedback on self-renewal is combined with an experimentally documented spatial feedforward loop, in which stem cells regulate the fate of transit amplifying cells. This indicates that the dynamics of feedback regulation in tissue cell lineages are more complex than previously thought, and that combinations of spatially explicit control mechanisms are likely instrumental.

PMID:35522694 | DOI:10.1371/journal.pcbi.1010039

PLoS One. 2022 May 6;17(5):e0268202. doi: 10.1371/journal.pone.0268202. eCollection 2022.

ABSTRACT

BACKGROUND: Thoracic trauma is a major cause of death in trauma patients and road traffic accident (RTA)-related thoracic injuries have different characteristics than those with non-RTA related thoracic traumas, but this have been poorly described. The main objective was to investigate the epidemiology, injury pattern and outcome of patients suffering a significant RTA-related thoracic injury. Secondary objective was to investigate the influence of serious thoracic injuries on mortality, compared to other serious injuries.

METHODS: We performed a multicenter observational study including patients of the Rhône RTA registry between 1997 and 2016 sustaining a moderate to lethal (Abbreviated Injury Scale, AIS≥2) injury in any body region. A subgroup (AISThorax≥2 group) included those with one or more AIS≥2 thoracic injury. Descriptive statistics were performed for the main outcome and a multivariate logistic regression was computed for our secondary outcome.

RESULTS: A total of 176,346 patients were included in the registry and 6,382 (3.6%) sustained a thoracic injury. Among those, median age [IQR] was 41 [25-58] years, and 68.9% were male. The highest incidence of thoracic injuries in female patients was in the 70-79 years age group, while this was observed in the 20-29 years age group among males. Most patients were car occupants (52.3%). Chest wall injuries were the most frequent thoracic injuries (62.1%), 52.4% of which were multiple rib fractures. Trauma brain injuries (TBI) were the most frequent concomitant injuries (29.1%). The frequency of MAISThorax = 2 injuries increased with age while that of MAISThorax = 3 injuries decreased. A total of 16.2% patients died. Serious (AIS≥3) thoracic injuries (OR = 12.4, 95%CI [8.6;18.0]) were strongly associated with mortality but less than were TBI (OR = 27.9, 95%CI [21.3;36.7]).

CONCLUSION: Moderate to lethal RTA-related thoracic injuries were rare. Multiple ribs fractures, pulmonary contusions, and sternal fractures were the most frequent anatomical injuries. The incidence, injury pattern and mechanisms greatly vary across age groups.

PMID:35522686 | DOI:10.1371/journal.pone.0268202

PLoS One. 2022 May 6;17(5):e0268133. doi: 10.1371/journal.pone.0268133. eCollection 2022.

ABSTRACT

The COVID-19 pandemic has magnified the multiple vulnerabilities of people living in urban informal settlements globally. To bring community voices from such settlements to the center of COVID-19 response strategies, we undertook a study in the urban informal settlements of Dharavi, Mumbai, from September 2020-April 2021. In this study, we have examined the awareness, attitudes, reported practices, and some broader experiences of the community in Dharavi with respect to COVID-19. We have used a mixed-methods approach, that included a cross-sectional survey of 468 people, and in-depth interviews and focus group discussions with 49 people living in this area. Data was collected via a mix of phone and face-to-face interviews. We have presented here the descriptive statistics from the survey and the key themes that emerged from our qualitative data. People reported high levels of knowledge about COVID-19, with television (90%), family and friends (56%), and social media (47%) being the main sources of information. The knowledge people had, however, was not free of misconceptions and fear; people were scared of being forcefully quarantined and dying alone during the early days of COVID-19. These fears had negative repercussions in the form of patient-related stigma and hesitancy in seeking healthcare. A year into the pandemic, however, people reported a shift in attitudes from ‘extreme fear to low fear’ (67% reported perceiving low/no COVID risk in October 2020), contributing to a general laxity in following COVID-appropriate behaviors. Currently, the community is immensely concerned about the revival of livelihoods, that have been adversely impacted due to the lockdown in 2020 as well as the continued ‘othering’ of Dharavi for being a COVID hotspot. These findings suggest that urban informal settlements like Dharavi need community-level messaging that counters misinformation and denial of the outbreak; local reinforcement of COVID-appropriate behaviours; and long-term social protection measures.

PMID:35522676 | DOI:10.1371/journal.pone.0268133

Pediatr Int. 2022 Jan;64(1):e15190. doi: 10.1111/ped.15190.

ABSTRACT

BACKGROUND: Esophageal atresia is a complex esophageal malformation with an incidence of 1 in 3,500-4,000 live births, and it usually occurs together with anomalies in other systems or chromosomes. This study aimed to investigate the short-term and long-term results of cases of esophageal atresia retrospectively in our institution and to analyze the factors affecting the outcome.

METHODS: Charts of the patients managed for esophageal atresia in our tertiary pediatric surgery department were investigated retrospectively. Statistical analysis was performed to determine the risk factors for morbidity and mortality.

RESULTS: One hundred and thirteen (95.8%) of 118 cases underwent a single-stage or staged esophagoesophagostomy procedure. In only five of the 40 patients with a long gap between the two atretic ends was an esophageal replacement procedure required. The most common early and late complications were anastomotic stenosis (41.6%) and gastroesophageal reflux (44.9%). In logistic regression analysis, the birthweight (OR [95% CI] = 0.998 [0.997, 0.999], P = 0.001) and preoperative inotrope requirement (OR [95% CI] = 13.8 [3.6-53.3], P < 0.001) were the two risk factors in the mortality prediction model obtained by multivariate analysis. The gap length between the two atretic ends (OR [95% CI] = 1.436 [1.010, 2.041], P = 0.044) and the number of sutures for anastomosis (OR [95% CI] = 1.313 [1.042, 1.656], P = 0.021) were the two risk factors in the gastroesophageal reflux prediction model obtained by multivariate analysis.

CONCLUSIONS: Our study’s early and late complication rates were like those found in other studies. Identifying risk factors would be beneficial and might help reduce the severity of potential complications in esophageal atresia patients. Prospective studies on large patient series would help develop registry-based, standardized management protocols.

PMID:35522674 | DOI:10.1111/ped.15190

PLoS One. 2022 May 6;17(5):e0267794. doi: 10.1371/journal.pone.0267794. eCollection 2022.

ABSTRACT

BACKGROUND: Heart failure (HF) is a serious health condition, associated with high health care costs, and poor outcomes. Patient empowerment and self-care are a key component of successful HF management. The emergence of telehealth may enable providers to remotely monitor patients’ statuses, support adherence to medical guidelines, improve patient wellbeing, and promote daily awareness of overall patients’ health.

OBJECTIVE: To assess the feasibility of a voice activated technology for monitoring of HF patients, and its impact on HF clinical outcomes and health care utilization.

METHODS: We conducted a randomized clinical trial; ambulatory HF patients were randomized to voice activated technology or standard of care (SOC) for 90 days. The system developed for this study monitored patient symptoms using a daily survey and alerted healthcare providers of pre-determined reported symptoms of worsening HF. We used summary statistics and descriptive visualizations to study the alerts generated by the technology and to healthcare utilization outcomes.

RESULTS: The average age of patients was 54 years, the majority were Black and 45% were women. Almost all participants had an annual income below $50,000. Baseline characteristics were not statistically significantly different between the two arms. The technical infrastructure was successfully set up and two thirds of the invited study participants interacted with the technology. Patients reported favorable perception and high comfort level with the use of voice activated technology. The responses from the participants varied widely and higher perceived symptom burden was not associated with hospitalization on qualitative assessment of the data visualization plot. Among patients randomized to the voice activated technology arm, there was one HF emergency department (ED) visit and 2 HF hospitalizations; there were no events in the SOC arm.

CONCLUSIONS: This study demonstrates the feasibility of remote symptom monitoring of HF patients using voice activated technology. The varying HF severity and the wide range of patient responses to the technology indicate that personalized technological approaches are needed to capture the full benefit of the technology. The differences in health care utilization between the two arms call for further study into the impact of remote monitoring on health care utilization and patients’ wellbeing.

PMID:35522660 | DOI:10.1371/journal.pone.0267794

PLoS One. 2022 May 6;17(5):e0265411. doi: 10.1371/journal.pone.0265411. eCollection 2022.

ABSTRACT

BACKGROUND: Kangaroo mother care is a key procedure in reducing neonatal mortality and morbidity associated with preterm birth. In Ethiopia, neonatal death remains a serious problem, and this study aims to determine the prevalence of the knowledge, attitudes and practice of kangaroo mother care among Ethiopia women.

METHODS: PubMed, Web of Science, Google Scholar, EMBASE and the Ethiopian University online library were searched. Data were extracted using Microsoft Excel and analysed using STATA statistical software (v. 11). Publication bias was checked by forest plot, Begg’s rank test and Egger’s regression test. To look for heterogeneity, I2 were computed and an overall estimated analysis carried out. Subgroup analysis was done by region, study setting, publication, gestational age, birth weight and component of kangaroo care. The Joanna Briggs Institute risk of bias assessment tool was used. We carried out a leave one out sensitivity analysis.

RESULTS: Out of 273 articles retrieved, 16 studies met the eligibility criteria and are thus included in this study. Those 16 studies had a total of 12,345 respondents who reported kangaroo mother practice, with five (comprising 1,232 participants combined) reporting that both knowledge and attitude were used to determine the overall estimation. The pooled estimates of good knowledge, positive attitude and poor practice of kangaroo mother care were found to be 64.62% (95% CI: 47.15%-82.09%; I2 = 97.8%), 61.55% (49.73%-73.38%; I2 = 94.8%) and 45.7% (95% CI: 37.23%-54.09%; I2 = 98.5%), respectively. This study is limited to postnatal women and does not take account their domestic partners or health providers.

CONCLUSION: The findings revealed significant gaps in the knowledge, attitudes and practice of kangaroo mother care in Ethiopia when compared with other developing countries. Therefore, kangaroo mother care training to women, along with further studies on domestic partners and health providers.

PMID:35522657 | DOI:10.1371/journal.pone.0265411