Category: Nevin Manimala

Int J Soc Psychiatry. 2024 Feb 23:207640231216354. doi: 10.1177/00207640231216354. Online ahead of print.

ABSTRACT

BACKGROUND: A variety of psychiatric illnesses can develop in children of parents who suffer from bipolar affective disorder.

AIMS: The purpose of the research was to investigate, among the offsprings of patients diagnosed with schizophrenia and bipolar disorder type I, the prevalence of a variety of psychiatric diseases as well as a range of behavioral abnormalities.

METHOD: This was a cross-sectional observational comparative study. The outpatient psychiatric clinics at Shebin Elkom Mental Health Hospital, Menofia Governorate, Egypt 500 offspring (there were 250 offspring of parents both diagnosed with schizophrenia and 250 offsprings born to parents with bipolar affective disorder).

RESULTS: Statistically significant association of male gender with somatic complaints, social problems, and attention problems in the bipolar offspring group. In addition, there was a statistically significant association between female gender and anxiety or depression in the bipolar offspring group. Moreover, there was a statistically significant association between male gender and thought problems and aggressive behavior in the schizophrenia group. Assessment of psychiatric symptoms using K-SADS in relation to gender revealed a statistically significant association of male gender with affective disorder, behavioral disorder, and substance use disorder in the bipolar offspring group. Moreover, there was a statistically significant association between female gender and psychotic disorder in the schizophrenia group.

CONCLUSION: We concluded that offspring with bipolar illness had a significant association with somatic symptoms, anxiety/depressive disorder, social issues, attention problems, and aggressive behavior. Schizophrenia offspring were strongly related to thought issues.

PMID:38390657 | DOI:10.1177/00207640231216354

Womens Health (Lond). 2024 Jan-Dec;20:17455057241231478. doi: 10.1177/17455057241231478.

ABSTRACT

BACKGROUND: An exclusive breastfeeding period is a time when the infant’s feeding depends on only breast milk. Inadequate maternal nutrition during this period could lead to insufficient infant feeding, which can further lead to childhood undernutrition and developmental restrictions. Evidently, the burden of maternal undernutrition was higher in resource-limited countries, including Ethiopia.

OBJECTIVES: This study aimed to assess the proportion of undernutrition among exclusive breastfeeding mothers and its associated factors in Southwest Ethiopia.

DESIGN: The study used a community-based cross-sectional design.

METHODS: The study was conducted among 442 nursing mothers from 10 to 30 June 2022. The participants were selected using multistage sampling techniques. An interviewer-administered structured questionnaire was used to collect information. Statistical software EpiData version 3.1 and SPSS version 20 were used for data entry and analysis, respectively. The factors associated with undernutrition were identified using a binary logistic regression analysis. In the bivariable analysis, a p-value of less than 0.25 was used to include the variable in the multivariable analysis, whereas p-value less than 0.05 was an odds ratio used to declare an independent association at a 95% confidence interval.

RESULTS: The proportion of undernutrition among the participants was found to be 24.8% in the study area. Poor intake of extra meals (adjusted odds ratio = 2.104; 95% confidence interval: 1.208, 3.664), poor dietary diversity habits (adjusted odds ratio = 3.605; 95% confidence interval: 2.112, 6.153), a lack of nutrition information (adjusted odds ratio = 1.853; 95% confidence interval: 1.070, 3.212), and household food insecurity (adjusted odds ratio = 4.424; 95% confidence interval: 2.639, 7.417) were identified as factors enhancing undernutrition among exclusive breastfeeding mothers in the area.

CONCLUSION: A quarter of exclusive breastfeeding mothers were undernourished in the area. Poor dietary diversity habits, poor intake of extra meals, a lack of nutrition information, and household food insecurity were found to be the factors determining undernutrition. Hence, it is important to reinforce nutrition intervention programs, including maternal nutrition education and counseling.

PMID:38390653 | DOI:10.1177/17455057241231478

J Glob Health. 2024 Feb 23;14:05012. doi: 10.7189/jogh.14.05012.

ABSTRACT

BACKGROUND: The global scarcity of medical oxygen has proven to be catastrophic during the surges in COVID-19 cases over the past two years, with the heaviest burden felt in low- and middle-income countries. Despite its criticality, data and analyses of oxygen consumption, even for typical clinical cases, are missing. Consequently, planning oxygen needs, particularly with variable surges in COVID-19 cases, has presented a substantial challenge to policymakers and hospital decision-makers.

METHODS: We performed a sub-analysis of the COVID-19 Critical Care Consortium database assessing the oxygen consumption requirements of COVID-19 patients admitted to intensive care units between February 2020 and October 2021. We calculated descriptive statistics for oxygen flow-rates, stratified by oxygen supplementation method, and developed a multi-state model for estimating the frequency, therapy duration, probability of transition, and number of oxygen therapy modes per patient.

RESULTS: Overall, 12 429 patients from 35 countries received oxygen support on at least one day of their hospitalisation. Of the patients with measurable flow rates, 6142 received invasive mechanical ventilation, 838 received high-flow nasal oxygen, and 257 received both modalities. The median flow rate for mechanical ventilation was 3.2 L per minute (interquartile range (IQR) = 2.0-4.9), with a median duration of 12 days (IQR = 6-24), while the median flow rate for high-flow nasal cannula was 40 L per minute (IQR = 15-55), with a median duration of three days (IQR = 2-6).

CONCLUSIONS: Oxygen consumption among critical COVID-19 patients varies by mode of delivery (invasive ventilation vs high-flow nasal cannula), across patients, and over treatment duration. Therefore, it is essential that health facilities routinely monitor oxygen utilization to better inform oxygen delivery system design and regular supply planning.

REGISTRATION: ClinicalTrials.gov: CTG2021-01 ACTRN12620000421932.

PMID:38390629 | DOI:10.7189/jogh.14.05012

SAR QSAR Environ Res. 2024 Mar;35(3):241-263. doi: 10.1080/1062936X.2024.2320143. Epub 2024 Feb 23.

ABSTRACT

Excessive use of chemicals is the outcome of the industrialization of agricultural sectors which leads to disturbance of ecological balance. Various agrochemicals are widely used in agricultural fields, urban green areas, and to protect from various pest-associated diseases. Due to their long-term health and environmental hazards, chronic toxicity assessment is crucial. Since in vivo and in vitro toxicity assessments are costly, lengthy, and require a large number of animal experiments, in silico toxicity approaches are better alternatives to save time, cost, and animal experimentation. We have developed the first regression-based 2D-QSAR models using different sub-chronic and chronic toxicity data of pesticides against dogs employing 2D descriptors. From the statistical results ($n\mathrm{train}=53–62,r^2$ = 0.614 to 0.754, $Q_{LOO}^2$ = 0.501 to 0.703 and $Q_{\left(F1\right)}^2$ = 0.531 to 0.718, $Q_{\left(F2\right)}^2=0.523–0.713$), it was concluded that the models are robust, reliable, interpretable, and predictive. Similarity-based read-across algorithm was also used to improve the predictivity ($Q_{\left(F1\right)}^2=0.595–0.813,Q_{\left(F2\right)}^2=0.573–0.809$) of the models. 5132 chemicals obtained from the CPDat and 1694 pesticides obtained from the PPDB database were also screened using the developed models, and their predictivity and reliability were checked. Thus, these models will be helpful for eco-toxicological data-gap filling, toxicity prediction of untested pesticides, and development of novel, safer & eco-friendly pesticides.

PMID:38390626 | DOI:10.1080/1062936X.2024.2320143

Front Neurol. 2024 Feb 8;15:1304270. doi: 10.3389/fneur.2024.1304270. eCollection 2024.

ABSTRACT

BACKGROUND AND PURPOSE: A notable prevalence of subarachnoid hemorrhage is evident among patients with anterior choroidal artery aneurysms in clinical practice. To evaluate the risk of rupture in unruptured anterior choroidal artery aneurysms, we conducted a comprehensive analysis of risk factors and subsequently developed two nomograms.

METHODS: A total of 120 cases of anterior choroidal artery aneurysms (66 unruptured and 54 ruptured) from 4 medical institutions were assessed utilizing computational fluid dynamics (CFD) and digital subtraction angiography (DSA). The training set, consisting of 98 aneurysms from 3 hospitals, was established, with an additional 22 cases from the fourth hospital forming the external validation set. Statistical differences between the two data sets were thoroughly compared. The significance of 9 clinical baseline characteristics, 11 aneurysm morphology parameters, and 4 hemodynamic parameters concerning aneurysm rupture was evaluated within the training set. Candidate selection for constructing the nomogram models involved regression analysis and variance inflation factors. Discrimination, calibration, and clinical utility of the models in both training and validation sets were assessed using area under curves (AUC), calibration plots, and decision curve analysis (DCA). The DeLong test, net reclassification index (NRI), and integrated discrimination improvement (IDI) were employed to compare the effectiveness of classification across models.

RESULTS: Two nomogram models were ultimately constructed: model 1, incorporating clinical, morphological, and hemodynamic parameters (C + M + H), and model 2, relying primarily on clinical and morphological parameters (C + M). Multivariate analysis identified smoking, size ratio (SR), normalized wall shear stress (NWSS), and average oscillatory shear index (OSI_ave) as optimal candidates for model development. In the training set, model 1 (C + M + H) achieved an AUC of 0.795 (95% CI: 0.706 ~ 0.884), demonstrating a sensitivity of 95.6% and a specificity of 54.7%. Model 2 (C + M) had an AUC of 0.706 (95% CI: 0.604 ~ 0.808), with corresponding sensitivity and specificity of 82.4 and 50.3%, respectively. Similarly, AUCs for models 1 and 2 in the external validation set were calculated to be 0.709 and 0.674, respectively. Calibration plots illustrated a consistent correlation between model evaluations and real-world observations in both sets. DCA demonstrated that the model incorporating hemodynamic parameters offered higher clinical benefits. In the training set, NRI (0.224, p = 0.007), IDI (0.585, p = 0.002), and DeLong test (change = 0.089, p = 0.008) were all significant. In the external validation set, NRI, IDI, and DeLong test statistics were 0.624 (p = 0.063), 0.572 (p = 0.044), and 0.035 (p = 0.047), respectively.

CONCLUSION: Multidimensional nomograms have the potential to enhance risk assessment and patient-specific treatment of anterior choroidal artery aneurysms. Validated by an external cohort, the model incorporating clinical, morphological, and hemodynamic features may provide improved classification of rupture states.

PMID:38390597 | PMC:PMC10882079 | DOI:10.3389/fneur.2024.1304270

Front Neurol. 2024 Feb 8;15:1347755. doi: 10.3389/fneur.2024.1347755. eCollection 2024.

ABSTRACT

INTRODUCTION: Post-stroke hemiplegia commonly occurs in stroke survivors, negatively impacting the quality of life. Despite the benefits of initial specific post-acute treatments at the hospitals, motor functions, and physical mobility need to be constantly stimulated to avoid regression and subsequent hospitalizations for further rehabilitation treatments.

METHOD: This preliminary study proposes using gamified tasks in a virtual environment to stimulate and maintain upper limb mobility through a single RGB-D camera-based vision system (using Microsoft Azure Kinect DK). This solution is suitable for easy deployment and use in home environments. A cohort of 10 post-stroke subjects attended a 2-week gaming protocol consisting of Lateral Weightlifting (LWL) and Frontal Weightlifting (FWL) gamified tasks and gait as the instrumental evaluation task.

RESULTS AND DISCUSSION: Despite its short duration, there were statistically significant results (p < 0.05) between the baseline (T0) and the end of the protocol (TF) for Berg Balance Scale and Time Up-and-Go (9.8 and -12.3%, respectively). LWL and FWL showed significant results for unilateral executions: rate in FWL had an overall improvement of 38.5% (p < 0.001) and 34.9% (p < 0.01) for the paretic and non-paretic arm, respectively; similarly, rate in LWL improved by 19.9% (p < 0.05) for the paretic arm and 29.9% (p < 0.01) for non-paretic arm. Instead, bilateral executions had significant results for rate and speed: considering FWL, there was an improvement in rate with p < 0.01 (31.7% for paretic arm and 37.4% for non-paretic arm), whereas speed improved by 31.2% (p < 0.05) and 41.7% (p < 0.001) for the paretic and non-paretic arm, respectively; likewise, LWL showed improvement in rate with p < 0.001 (29.0% for paretic arm and 27.8% for non-paretic arm) and in speed with 23.6% (p < 0.05) and 23.5% (p < 0.01) for the paretic and non-paretic arms, respectively. No significant results were recorded for gait task, although an overall good improvement was detected for arm swing asymmetry (-22.6%). Hence, this study suggests the potential benefits of continuous stimulation of upper limb function through gamified exercises and performance monitoring over medium-long periods in the home environment, thus facilitating the patient’s general mobility in daily activities.

PMID:38390596 | PMC:PMC10883060 | DOI:10.3389/fneur.2024.1347755

Front Med (Lausanne). 2024 Feb 8;11:1296910. doi: 10.3389/fmed.2024.1296910. eCollection 2024.

ABSTRACT

OBJECTIVE: This study aimed to evaluate perioperative antibiotic use for induced abortion and its association with lower genital tract infections (LGTI) two weeks post-surgery in China.

METHODS: We conducted a prospective cohort study of women seeking induced abortion. We interviewed participants on the day of surgery and two weeks after, and evaluated preoperative tests, gynecological exams, perioperative antibiotic usage, postoperative vaginal microbiota, and LGTI diagnosis. Multivariate logistic regression was used to assess the association between the perioperative antibiotic use and LGTI risk.

RESULTS: We recruited 8,190 women undergoing induced abortion at 27 participating hospitals. Of these, 95% had gynecological exams, but over 80% lacked tests for vaginal microbiota, chlamydia, and gonorrhea. Approximately 20% of those examined had increased vaginal discharge and abnormal vaginal cleanliness. The positive rates for gram-positive rods, fungi, and trichomonas were 38.6, 2.4, and 0.3%, respectively. More than three-quarters (78.5%) of participants received antibiotics, mainly second-gen cephalosporins (36.8%) and nitroimidazoles (12.3%). LGTI rates two weeks post-surgery were 2.7% for antibiotic recipients and 3.1% for non-recipients, with no statistically significant difference (p > 0.05). Logistic regression showed no association between perioperative antibiotic use and LGTI risk (OR = 1.01, 95% CI 0.59-1.74). However, this risk increased with abnormal preoperative discharge tests (OR = 1.39, 95% CI 1.04-1.86).

CONCLUSION: Most Chinese women undergoing induced abortion used perioperative antibiotics, but this did not significantly reduce LGTI risk. Instead, this risk was related to abnormal preoperative discharge tests. Standardization of perioperative antibiotic use for induced abortion is recommended, and prophylactic treatment in Chinese abortion services warrants further investigation.

PMID:38390566 | PMC:PMC10882060 | DOI:10.3389/fmed.2024.1296910

Front Med (Lausanne). 2024 Feb 8;11:1299190. doi: 10.3389/fmed.2024.1299190. eCollection 2024.

ABSTRACT

INTRODUCTION: Periodic Safety Update Reports (PSURs) are a key pharmacovigilance tool for the continuous evaluation of the benefit-risk balance of a medicinal product in the post-authorisation phase. The PSUR submission frequency for authorised active substances and combinations of active substances across the EU is individually determined. The objective of this research was the development and application of the EURD tool, a statistical method based on readily available safety data to predict PSUR frequencies and to ensure a consistent risk-based approach.

METHODS: First, variables considered relevant in determining the PSUR frequency were identified from data sources available at the European Medicines Agency. A subsequent first survey with National Competent Authorities in Europe lead to a prioritisation of identified variables, while a second survey was carried out to propose the PSUR frequencies for a set of substances. Finally, a regression model was built on the information collected, applied to a larger list of substances and its results tested via a third survey with the same experts.

RESULTS: The developed EURD tool was applied to the 1,032 EURD list entries with a PSUR assessment deferred to 2025 at the time of the creation of the list in 2012. As the number of procedures would have had a significant impact on the workload for the European Medicines Regulatory Network (EMRN), in a second step the workload impact was estimated after allocating the entries according to their proposed frequency. The analysis suggests that all entries could be reviewed by 2038 by increasing the median workload by 15% (from 868 to 1,000 substances/year).

CONCLUSION: The EURD tool is the first data-driven application for supporting decision making of PSUR frequencies based on relevant active substance safety data. While we illustrated its potential for improving the assignment of PSUR submission frequencies for active substances authorised in the EU, other institutions requiring periodic assessment of safety data and balancing of the resulting workload could benefit from it.

PMID:38390565 | PMC:PMC10882634 | DOI:10.3389/fmed.2024.1299190

Palliat Care Soc Pract. 2024 Feb 21;18:26323524241231819. doi: 10.1177/26323524241231819. eCollection 2024.

ABSTRACT

BACKGROUND: Improvement in quality care is an important aspect of palliative care for individuals with serious illnesses. Palliative care is a multidisciplinary strategy that addresses the physical, emotional, social, and spiritual needs of patients and their families. As technology advances, digital media – especially YouTube – has come to serve as a virtual educational platform, offering resources for health-related information, including information about palliative care.

OBJECTIVES: In this research, the main goal was to evaluate the quality and availability of online resources related to palliative care.

DESIGN: Two theoretical frameworks were used: the Health Communication Model and the Information Quality Framework. These frameworks offer a way to understand how YouTube videos contribute to palliative care information and assess the quality of that information.

METHODS: This study utilizes a quantitative analysis approach to assess the quality and accessibility of YouTube videos on palliative care. Specifically, a random sample of 300 YouTube videos addressing palliative care was examined. Descriptive statistics were used to analyze the data, including the frequency and distribution of the different types of content, sources, and quality indicators. Chi-square tests were done to compare the quality of information provided by different sources and types of content.

RESULTS: The results showed a variety of video types, with educational videos being the most common (40%), followed by personal stories (26.7%) and promotional videos (16.7%). We found that healthcare organizations (30%) and individual content creators (46.7%) were the sources for these videos.

CONCLUSION: There were varying scores in terms of accuracy, completeness, and relevance when it came to quality assessment. While many videos received excellent ratings, some received poor ratings. Additionally, this analysis revealed that the majority of these videos were in English (83.3%), which poses a limitation for non-English speakers who may have difficulty understanding them.

PMID:38390558 | PMC:PMC10883131 | DOI:10.1177/26323524241231819

Indian J Nucl Med. 2023 Oct-Dec;38(4):334-339. doi: 10.4103/ijnm.ijnm_23_23. Epub 2023 Dec 20.

ABSTRACT

PURPOSE: Postconcurrent chemoradiotherapy (CRT) response assessment has been challenging in locally advanced head-and-neck squamous cell carcinoma (LA-HNSCC) due to prevailing postradiation changes. Molecular response methods have been encouraging, although further clarifications and validations were needed. We tested the effectiveness of a proposed semi-quantitative molecular response criterion in these patients.

MATERIALS AND METHODS: Two subspecialty-trained physicians evaluated ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography of LA-HNSCC patients (n = 83) post 3 months CRT using a five points Head and Neck Molecular Imaging-Reporting and Data System (HAN-MI-RADS) criterion. Where available, histopathology examination with clinical and imaging interpretation was taken as a reference for the disease. A diagnostic accuracy comparison was done with the existing Hopkins score. Further effectiveness was analyzed with disease-free survival (DFI) and overall survival (OS).

RESULTS: Metastasis was developed in 11/83 patients at 3 months of evaluation. Of 72 patients, 39, 2, and 31 patients had a complete response, equivocal response, and partial response as per HAN-MI-RADS. Per patient sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for predicting loco-regional disease up to 1 and 2 years was 93.3%, 92.5%, 90.3%, 94.9%, 92.9%, and 84.9%, 91.9%, 90.3%, 87.2%, and 88.6% respectively. One year and two years DFI for each HAN-MI-RADS score showed a statistically significant difference while it was not for OS. The receiver operating characteristic curve analysis showed significantly better outcome predictability of HAN-MI-RADS (area under the curve [AUC] 0.884) than Hopkins (AUC 0.699).

CONCLUSIONS: A five points HAN-MI-RADS criterion was found promising for response assessment with less equivocal results and statistically significant higher AUC than Hopkins for loco-regional recurrence prediction.

PMID:38390552 | PMC:PMC10880860 | DOI:10.4103/ijnm.ijnm_23_23