Tag: nevin manimala

Invest Radiol. 2022 Aug 2. doi: 10.1097/RLI.0000000000000905. Online ahead of print.

ABSTRACT

OBJECTIVES: In spinal cord injury (SCI), the primary mechanical injury is followed by secondary sequelae that develop over the subsequent months and manifests in biochemical, functional, and microstructural alterations, at the site of direct injury but also in the spinal cord tissue above and below the actual lesion site. Noninvasive magnetic resonance spectroscopy (MRS) can be used to assess biochemical modulation occurring in the secondary injury phase, in addition to and supporting conventional MRI, and might help predict and improve patient outcome. In this article, we aimed to examine the metabolic levels in the pons of subacute SCI by means of in vivo proton MRS at 3 T and explore the association to clinical scores.

MATERIALS AND METHODS: In this prospective study, between November 2015 and February 2018, single-voxel short-echo MRS data were acquired in healthy controls and in SCI subjects in the pons once during rehabilitation. Besides the single-point MRS examination, in addition, in participants with SCI, the clinical status (ie, motor, light touch, and pinprick scores) was assessed twice: (1) around the MRS session (approximately 10 weeks postinjury) and (2) before discharge (at approximately 9 months postinjury). The group differences were assessed with Kruskal-Wallis test, the post hoc comparison was assessed with Wilcoxon rank sum test, and the clinical correlations were conducted with Spearman rank correlation test. Bayes factor calculations completed the statistical part providing relevant evidence values.

RESULTS: Twenty healthy controls (median age, 50 years; interquartile range, 41-55 years; 18 men) and 18 subjects with traumatic SCI (median age, 50 years; interquartile range, 32-58 years; 16 men) are included. Group comparison showed an increase of total N-acetylaspartate and combined glutamate and glutamine levels in complete SCI and a reduction of total creatine in incomplete paraplegic SCI. The proton MRS-based glutathione levels at baseline correlate to the motor score improvement during rehabilitation in incomplete subacute SCI.

CONCLUSIONS: This exploratory study showed an association of the metabolite concentration of glutathione in the pons assessed at approximately 10 weeks after injury with the improvements of the motor score during the rehabilitation. Pontine glutathione levels in subjects with traumatic subacute incomplete SCI acquired remote from the injury site correlate to clinical score and might therefore be beneficial in the rehabilitation assessments.

PMID:35926077 | DOI:10.1097/RLI.0000000000000905

PLoS One. 2022 Aug 4;17(8):e0272165. doi: 10.1371/journal.pone.0272165. eCollection 2022.

ABSTRACT

BACKGROUND: Pre-eclampsia can be described as new-onset hypertension (blood pressure ≥140/90 mmHg) together with proteinuria (24-hr urinary protein ≥ 0.3 g) or any indication of end-organ damage after 20 weeks of gestation. Liver and kidney dysfunction, thrombocytopenia, pulmonary edema, and neurologic dysfunction are common manifestations of end-organ damage due to pre-eclampsia. Pre-eclampsia is the most common cause of liver and kidney dysfunction due to hypoxia and endothelial dysfunction. Hyperuricemia indicates kidney dysfunction and is considered a predictor of the severity of preeclampsia. Therefore, the objective of this study is to evaluate the utility of the levels of serum uric acid and liver function tests [alanine aminotransferase (ALT) and aspartate aminotransferase (AST)] as biomarkers of preeclampsia-related organ damage.

METHODS AND MATERIALS: An institutional-based comparative cross-sectional study design was conducted, and a total of 102 subjects (51 patients with preeclampsia and 51 normotensive pregnant women) were recruited. The parameters measured were levels of serum uric acid and liver function tests.

RESULTS AND DISCUSSION: There were statistically significant differences in the mean serum uric acid, ALT, and AST levels between preeclamptic pregnant women and normotensive pregnant women (p<0.05). There were no statistically significant differences in the mean total and direct bilirubin levels. There was also a significant difference in mean serum uric acid, alanine transaminase, and aspartate transaminase levels across different gestational age categories.

CONCLUSION: Our study revealed that serum uric acid, ALT, and AST levels were higher in pre-eclamptic pregnant women compared to those of normotensive pregnant women, and the differences were statistically significant. As such, serum uric acid and liver function tests may be considered biomarkers of pre-eclampsia-related end-organ damage.

PMID:35926005 | DOI:10.1371/journal.pone.0272165

PLoS One. 2022 Aug 4;17(8):e0272651. doi: 10.1371/journal.pone.0272651. eCollection 2022.

ABSTRACT

AIMS: This study aimed to examine the association between mental health problems and health-related quality of life (HrQoL) among in-school adolescents 13-19 years in the Harari region, eastern Ethiopia.

MATERIALS AND METHODS: A cross-sectional study was conducted on 3227 in-school adolescents aged 13 to 19 using multistage sampling. The KIDSCREEN-10 questionnaire assessed health-related quality of life (HrQoL), while a self-administered version of the strength and difficulty questionnaire (SDQ) examined mental health issues. Data were double entered, validated, and cleaned using EpiData version 3.1 and analyzed using STATA 14.1. An ordinal logistic regression model investigated the link between the outcome variable and the predictors. The results were reported using an odds ratio with a 95% confidence interval (CI), and a p-value of less than 0.05 was considered statistically significant.

RESULTS: A quarter of the adolescents (23%) reported poor health-related quality of life; adolescents with internalizing and externalizing mental health problems had the lowest health-related quality of life. After controlling for potential confounders, adolescents with abnormal (AOR = 0.48, 95% CI: 0.39, 0.59) and borderline (AOR = 0.59, 95% CI: 0.45, 0.78) levels of internalizing problems had a 52% and 41% lower probability of having high HrQoL than those with normal levels. Furthermore, individuals with abnormal (AOR = 0.59, 95% CI: 0.45, 0.77) and borderline (AOR = 0.64, 95% CI: 0.45, 0.92) levels of externalizing difficulties had a 41% and 36% lower chance of having a high health-related quality of life.

CONCLUSIONS: Nearly a quarter of in-school adolescents had poor health-related quality of life. High scores for internalizing and externalizing mental health problems significantly impacted the adolescents’ health-related quality of life. This emphasizes the need to address mental health issues in the school setting to improve adolescents’ overall quality of life.

PMID:35925999 | DOI:10.1371/journal.pone.0272651

PLoS One. 2022 Aug 4;17(8):e0272635. doi: 10.1371/journal.pone.0272635. eCollection 2022.

ABSTRACT

BACKGROUND: Unused medicines can be stored by many people at their places of residence and houses for later use. This study evaluated knowledge, and attitudes regarding unused and expired medicines and explored medicine storage and disposal practices among selected households in the Kathmandu valley, Nepal.

METHOD: A cross-sectional study with a two-stage cluster survey design was done using a semi-structured questionnaire from April to October 2021. The sample size (total number of households) after adjusting for design effect and non-response rate was 210 and the study population was the household heads. Simple random sampling was done to select clusters during the first stage and systematic random sampling to select households during the second stage. Descriptive statistics and t-test/one-way ANOVA were used to compare the respondents’ average knowledge scores. Practice variables were presented using frequency distribution.

RESULTS: Around half the respondents were from the Kathmandu district, nearly 20% were from Bhaktapur and 30% were from Lalitpur. Nearly two-thirds were male and about 25% had a bachelor’s degree. Nearly 90% of respondents agreed that storage of excess medicines at home may promote self-medication. Similarly, 97.6% of respondents agreed there is a lack of adequate information on the safe disposal of unused medicines. The majority [125 (59.5%)] of participants always checked the expiry date of medicines. The safe methods of medicine disposal were not known by 137 (65.2%) participants. Throwing in a dustbin was the preferred method of expired medicine disposal.

CONCLUSION: The level of knowledge and practice of disposing of unused and expired medicines requires improvement. Educational interventions may help improve awareness further. Creating a chart summarizing disposal procedures of common medicines is important. Similar studies in other regions are required.

PMID:35925995 | DOI:10.1371/journal.pone.0272635

PLoS One. 2022 Aug 4;17(8):e0272279. doi: 10.1371/journal.pone.0272279. eCollection 2022.

ABSTRACT

BACKGROUND: Vasoactive treatment is a cornerstone in treating hypoperfusion in cardiogenic shock following acute myocardial infarction (AMICS). The purpose was to compare the achievement of treatment targets and outcome in relation to vasoactive strategy in AMICS patients stratified according to the Society of Cardiovascular Angiography and Interventions (SCAI) shock classification.

METHODS: Retrospective analysis of patients with AMICS admitted to cardiac intensive care unit at two tertiary cardiac centers during 2010-2017 with retrieval of real-time hemodynamic data and dosages of vasoactive drugs from intensive care unit databases.

RESULTS: Out of 1,249 AMICS patients classified into SCAI class C, D, and E, mortality increased for each shock stage from 34% to 60%, and 82% (p<0.001). Treatment targets of mean arterial blood pressure > 65mmHg and venous oxygen saturation > 55% were reached in the majority of patients; however, more patients in SCAI class D and E had values below treatment targets within 24 hours (p<0.001) despite higher vasoactive load and increased use of epinephrine for each severity stage (p<0.001). In univariate analysis no significant difference in mortality within SCAI class D and E regarding vasoactive strategy was observed, however in SCAI class C, epinephrine was associated with higher mortality and a significantly higher vasoactive load to reach treatment targets. In multivariate analysis there was no statistically association between individually vasoactive choice within each SCAI class and 30-day mortality.

CONCLUSION: Hemodynamic treatment targets were achieved in most patients at the expense of increased vasoactive load and more frequent use of epinephrine for each shock severity stage. Mortality was high regardless of vasoactive strategy; only in SCAI class C, epinephrine was associated with a significantly higher mortality, but the signal was not significant in adjusted analysis.

PMID:35925990 | DOI:10.1371/journal.pone.0272279

PLoS One. 2022 Aug 4;17(8):e0271529. doi: 10.1371/journal.pone.0271529. eCollection 2022.

ABSTRACT

Captive environments trigger the propagation and multiplication of parasites among different reptile species, thus weakening their immune response and causing infections and diseases. Technological advances of convolutional neural networks have opened a new field for detecting and classifying diseases which have shown great potential to overcome the shortcomings of manual detection performed by experts. Therefore, we propose an approach to identify six captive reptiles parasitic agents (Ophionyssus natricis, Blastocystis sp, Oxiurdo egg, Rhytidoides similis, Strongyloides, Taenia) or the absence of such parasites from a microscope stool images dataset. Towards this end, we first use an image segmentation stage to detect the parasite within the image, which combines the Contrast Limited Adaptive Histogram Equalization (CLAHE) technique, the OTSU binarization method, and morphological operations. Then, we carry out a classification stage through MobileNet CNN under a transfer learning scheme. This method was validated on a stool image dataset containing 3616 images data samples and 26 videos from the six parasites mentioned above. The results obtained indicate that our transfer learning-based approach can learn a helpful representation from the dataset. We obtained an average accuracy of 94.26% across the seven classes (i.e., six parasitic agents and the absence of parasites), which statistically outperformed, at a 95% confidence level, a custom CNN trained from scratch.

PMID:35925986 | DOI:10.1371/journal.pone.0271529

PLoS One. 2022 Aug 4;17(8):e0272549. doi: 10.1371/journal.pone.0272549. eCollection 2022.

ABSTRACT

BACKGROUND: Following the active ageing model based on the Health, Lifelong Learning, Participation and Security pillars, this research has a twofold objective: i) to classify older adults according to active ageing profiles, taking into account the four pillars, and ii) to ascertain the relationship between the profiles and personal and contextual factors, as well as well-being and quality of life in old age.

METHODS: A study sample of 5,566 Spanish older adults who participated in wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE) was included. Data were analysed in different steps applying several statistical analyses (Principal Component, Cluster, Discriminant, Multiple Correspondence and bivariate analysis with Pearson chi-square and ANOVA).

RESULTS: Five older adult profiles were obtained (I: with moderate activity; II: quasi-dependents; III: with active ageing-limiting conditions; IV: with diverse and balanced activity; V: with excellent active ageing conditions). The first three profiles were characterised by subjects with a high average age, low educational level, who were retired or housewives, and who perceived a moderate level of loneliness, satisfaction with the social network and quality of life, as well as having a larger family network, but living in small households or alone. In contrast, the latter two profiles showed better personal and contextual conditions, well-being and quality of life.

DISCUSSION AND CONCLUSIONS: The multidimensional approach to active ageing followed in this article has revealed the presence of several older adult profiles, which are confined to groups with better or worse active ageing conditions. In this context, if ageing is a process that reflects the previous way of life, intervention priorities will have to consider actions that promote better conditions during the life cycle.

PMID:35925982 | DOI:10.1371/journal.pone.0272549

PLoS One. 2022 Aug 4;17(8):e0271766. doi: 10.1371/journal.pone.0271766. eCollection 2022.

ABSTRACT

Ideally, a patient’s response to medication can be monitored by measuring changes in performance of some activity. In observational studies, however, any detected association between treatment (“on-medication” vs “off-medication”) and the outcome (performance in the activity) might be due to confounders. In particular, causal inferences at the personalized level are especially vulnerable to confounding effects that arise in a cyclic fashion. For quick acting medications, effects can be confounded by circadian rhythms and daily routines. Using the time-of-the-day as a surrogate for these confounders and the performance measurements as captured on a smartphone, we propose a personalized statistical approach to disentangle putative treatment and “time-of-the-day” effects, that leverages conditional independence relations spanned by causal graphical models involving the treatment, time-of-the-day, and outcome variables. Our approach is based on conditional independence tests implemented via standard and temporal linear regression models. Using synthetic data, we investigate when and how residual autocorrelation can affect the standard tests, and how time series modeling (namely, ARIMA and robust regression via HAC covariance matrix estimators) can remedy these issues. In particular, our simulations illustrate that when patients perform their activities in a paired fashion, positive autocorrelation can lead to conservative results for the standard regression approach (i.e., lead to deflated true positive detection), whereas negative autocorrelation can lead to anticonservative behavior (i.e., lead to inflated false positive detection). The adoption of time series methods, on the other hand, leads to well controlled type I error rates. We illustrate the application of our methodology with data from a Parkinson’s disease mobile health study.

PMID:35925980 | DOI:10.1371/journal.pone.0271766

PLoS One. 2022 Aug 4;17(8):e0271596. doi: 10.1371/journal.pone.0271596. eCollection 2022.

ABSTRACT

Atrial fibrillation (AF) is a typical category of arrhythmia. Clinical diagnosis of AF is based on the detection of abnormal R-R intervals (RRIs) with an electrocardiogram (ECG). Previous studies considered this detection problem as a classification problem and focused on extracting a number of features. In this study we demonstrate that instead of using any specific numerical characteristic as the input feature, the probability density of RRIs from ECG conserves comprehensive statistical information; hence, is a natural and efficient input feature for AF detection. Incorporated with a support vector machine as the classifier, results on the MIT-BIH database indicates that the proposed method is a simple and accurate approach for AF detection in terms of accuracy, sensitivity, and specificity.

PMID:35925979 | DOI:10.1371/journal.pone.0271596

PLoS One. 2022 Aug 4;17(8):e0271917. doi: 10.1371/journal.pone.0271917. eCollection 2022.

ABSTRACT

PURPOSE: This study examined factors associated with TB among persons living with HIV (PLWH) in Florida and the agreement between self-reported and medically documented history of tuberculosis (TB) in assessing the risk factors.

METHODS: Self-reported and medically documented data of 655 PLWH in Florida were analyzed. Data on sociodemographic factors such as age, race/ethnicity, place of birth, current marital status, education, employment, homelessness in the past year and ‘ever been jailed’ and behavioural factors such as excessive alcohol use, marijuana, injection drug use (IDU), substance and current cigarette use were obtained. Health status information such as health insurance status, adherence to HIV antiretroviral therapy (ART), most recent CD4 count, HIV viral load and comorbid conditions were also obtained. The associations between these selected factors with self-reported TB and medically documented TB diagnosis were compared using Chi-square and logistic regression analyses. Additionally, the agreement between self-reports and medical records was assessed.

RESULTS: TB prevalence according to self-reports and medical records was 16.6% and 7.5% respectively. Being age ≥55 years, African American and homeless in the past 12 months were statistically significantly associated with self-reported TB, while being African American homeless in the past 12 months and not on antiretroviral therapy (ART) were statistically significantly associated with medically documented TB. African Americans compared to Whites had odds ratios of 3.04 and 4.89 for self-reported and medically documented TB, respectively. There was moderate agreement between self-reported and medically documented TB (Kappa = 0.41).

CONCLUSIONS: TB prevalence was higher based on self-reports than medical records. There was moderate agreement between the two data sources, showing the importance of self-reports. Establishing the true prevalence of TB and associated risk factors in PLWH for developing policies may therefore require the use of self-reports and confirmation by screening tests, clinical signs and/or microbiologic data.

PMID:35925972 | DOI:10.1371/journal.pone.0271917