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Nevin Manimala Statistics

The Effect of Laughter Therapy on Perceived Stress and Quality of Life in Persons with Schizophrenia: A Mixed Method Pilot Study

Issues Ment Health Nurs. 2023 Aug 29:1-9. doi: 10.1080/01612840.2023.2246581. Online ahead of print.

ABSTRACT

This study was planned to examine the effects of laughter therapy on the perceived stress and quality of life level of persons with schizophrenia and their views on laughter therapy. This study is a mixed-methods pilot study conducted using a quasi-experimental design based on the pretest-posttest model. Of the participants 68% (n = 17) were male, 92% (n = 23) were single, 56% (14) were high school graduates, 60% (n = 15) were unemployed, 60% (n = 15) lived with their parents, 88% (22) had been receiving treatment for schizophrenia for more than 10 years. The difference between the pretest and post-test means was not found to be significant in participants’ perceived stress (p > 0.05), and the difference between the pretest and post-test means of the Schizophrenia Quality of Life Scale’s Interpersonal Relations, Instrumental Role, and Intrapsychicv (mental findings) subscales was found to be statistically significant (p < 0.05). The main themes of laughter therapy among persons with schizophrenia in the focus group interviews were found to be optimism, coping, health, sociability, motivation, awareness, and functionality. Laughter therapy was found to increase the quality of life of persons with schizophrenia, not affect perceived stress, and positively affect optimism, coping, health, sociability, motivation, awareness, and functionality levels. The researchers recommend using laughter therapy to improve the quality of life of people with schizophrenia during their rehabilitation.

PMID:37643210 | DOI:10.1080/01612840.2023.2246581

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Nevin Manimala Statistics

Development and validation of risk prediction model for diabetic neuropathy among diabetes mellitus patients at selected referral hospitals, in Amhara regional state Northwest Ethiopia, 2005-2021

PLoS One. 2023 Aug 29;18(8):e0276472. doi: 10.1371/journal.pone.0276472. eCollection 2023.

ABSTRACT

BACKGROUND: Diabetic neuropathy is the most common complication in both Type-1 and Type-2 DM patients with more than one half of all patients developing nerve dysfunction in their lifetime. Although, risk prediction model was developed for diabetic neuropathy in developed countries, It is not applicable in clinical practice, due to poor data, methodological problems, inappropriately analyzed and reported. To date, no risk prediction model developed for diabetic neuropathy among DM in Ethiopia, Therefore, this study aimed prediction the risk of diabetic neuropathy among DM patients, used for guiding in clinical decision making for clinicians.

OBJECTIVE: Development and validation of risk prediction model for diabetic neuropathy among diabetes mellitus patients at selected referral hospitals, in Amhara regional state Northwest Ethiopia, 2005-2021.

METHODS: A retrospective follow up study was conducted with a total of 808 DM patients were enrolled from January 1,2005 to December 30,2021 at two selected referral hospitals in Amhara regional state. Multi-stage sampling techniques were used and the data was collected by checklist from medical records by Kobo collect and exported to STATA version-17 for analysis. Lasso method were used to select predictors and entered to multivariable logistic regression with P-value<0.05 was used for nomogram development. Model performance was assessed by AUC and calibration plot. Internal validation was done through bootstrapping method and decision curve analysis was performed to evaluate net benefit of model.

RESULTS: The incidence proportion of diabetic neuropathy among DM patients was 21.29% (95% CI; 18.59, 24.25). In multivariable logistic regression glycemic control, other comorbidities, physical activity, hypertension, alcohol drinking, type of treatment, white blood cells and red blood cells count were statistically significant. Nomogram was developed, has discriminating power AUC; 73.2% (95% CI; 69.0%, 77.3%) and calibration test (P-value = 0.45). It was internally validated by bootstrapping method with discrimination performance 71.7 (95% CI; 67.2%, 75.9%). It had less optimism coefficient (0.015). To make nomogram accessible, mobile based tool were developed. In machine learning, classification and regression tree has discriminating performance of 70.2% (95% CI; 65.8%, 74.6%). The model had high net benefit at different threshold probabilities in both nomogram and classification and regression tree.

CONCLUSION: The developed nomogram and decision tree, has good level of accuracy and well calibration, easily individualized prediction of diabetic neuropathy. Both models had added net benefit in clinical practice and to be clinically applicable mobile based tool were developed.

PMID:37643198 | DOI:10.1371/journal.pone.0276472

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Nevin Manimala Statistics

Association of trabecular bone score and bone mineral apparent density with the severity of bone fragility in children and adolescents with osteogenesis imperfecta: A cross-sectional study

PLoS One. 2023 Aug 29;18(8):e0290812. doi: 10.1371/journal.pone.0290812. eCollection 2023.

ABSTRACT

Osteogenesis imperfecta (OI) is a hereditary skeletal disease characterized by bone fragility. Areal bone mineral density (BMD), evaluated by dual-energy X-ray absorptiometry (DXA), is used to assess bone brittleness. The height-adjusted BMD Z-score (BMDHAZ) is calculated in children and adolescents with OI to reduce the confounding factor of short stature. However, even with the BMDHAZ, severity evaluation in children and adolescents with OI is challenging because certain abnormalities in bone quality cannot be accurately assessed by BMD analysis. The trabecular bone scores (TBS) and bone mineral apparent density (BMAD), which represent the structural integrity of bone and bone-size-associated BMD, respectively, are associated with fracture risk. Recently, age- and sex-specific reference ranges have been reported, enabling the calculation of Z-scores for children. To evaluate which density measurements show the highest correlation with fracture risk, we analyzed the associations between the Z-scores of TBS, BMAD, and BMDHAZ, fracture rate, and genetic variants. We retrospectively reviewed 42 participants with OI aged 5 to 20 years who underwent DXA. COL1A1/2 pathogenic variants were detected in 41 of the 42 participants. In participants with nonsense and frameshift variants (n = 17) resulting in haploinsufficiency and mild phenotype, the TBS Z-score was negatively correlated with fracture rate (FR) (r = -0.50, p = 0.042). In participants with glycine substitution (n = 9) causing the severe phenotype, the BMAD Z-scores were negatively correlated with FR (r = -0.74, p = 0.022). No correlation between the BMDHAZ and FR was observed in both groups. These findings suggest that the TBS and BMAD are useful in assessing children and adolescents with OI with specific genetic variants.

PMID:37643181 | DOI:10.1371/journal.pone.0290812

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Nevin Manimala Statistics

Scoring epidemiological forecasts on transformed scales

PLoS Comput Biol. 2023 Aug 29;19(8):e1011393. doi: 10.1371/journal.pcbi.1011393. Online ahead of print.

ABSTRACT

Forecast evaluation is essential for the development of predictive epidemic models and can inform their use for public health decision-making. Common scores to evaluate epidemiological forecasts are the Continuous Ranked Probability Score (CRPS) and the Weighted Interval Score (WIS), which can be seen as measures of the absolute distance between the forecast distribution and the observation. However, applying these scores directly to predicted and observed incidence counts may not be the most appropriate due to the exponential nature of epidemic processes and the varying magnitudes of observed values across space and time. In this paper, we argue that transforming counts before applying scores such as the CRPS or WIS can effectively mitigate these difficulties and yield epidemiologically meaningful and easily interpretable results. Using the CRPS on log-transformed values as an example, we list three attractive properties: Firstly, it can be interpreted as a probabilistic version of a relative error. Secondly, it reflects how well models predicted the time-varying epidemic growth rate. And lastly, using arguments on variance-stabilizing transformations, it can be shown that under the assumption of a quadratic mean-variance relationship, the logarithmic transformation leads to expected CRPS values which are independent of the order of magnitude of the predicted quantity. Applying a transformation of log(x + 1) to data and forecasts from the European COVID-19 Forecast Hub, we find that it changes model rankings regardless of stratification by forecast date, location or target types. Situations in which models missed the beginning of upward swings are more strongly emphasised while failing to predict a downturn following a peak is less severely penalised when scoring transformed forecasts as opposed to untransformed ones. We conclude that appropriate transformations, of which the natural logarithm is only one particularly attractive option, should be considered when assessing the performance of different models in the context of infectious disease incidence.

PMID:37643178 | DOI:10.1371/journal.pcbi.1011393

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Nevin Manimala Statistics

Non-1st seizure was less severe than 1st seizure with non-urgent level among suspected seizures transferred by ambulance

PLoS One. 2023 Aug 29;18(8):e0290783. doi: 10.1371/journal.pone.0290783. eCollection 2023.

ABSTRACT

BACKGROUND: To prioritize emergency medical calls for ambulance transport for patients with suspected seizures, information about whether the event is their 1st or non-1st seizure is important. However, little is known about the difference between 1st and non-1st seizures in terms of severity. We hypothesized that patients transferred multiple times (≥2 times) would represent a milder scenario than patients on their first transfer. The purpose of this study was to compare patients with suspected seizures on 1st transfer by ambulance and patients who had been transferred ≥2 times.

METHODS: We statistically compared severity of suspected seizures between two groups of patients with suspected seizures transferred between December 2014 and November 2019 (before the coronavirus disease 2019 pandemic) to our facility by ambulance for either the first time (1st Group) or at least the second time (Non-1st Group). Severity categories were defined as: Level 1 = life-threatening; Level 2 = emergent, needing admission to the intensive care unit; Level 3 = urgent, needing admission to a hospital general ward; Level 4 = less urgent, needing intervention but not hospitalization; and Level 5 = non-urgent, not needing intervention.

RESULTS: Among 5996 patients with suspected seizures conveyed to the emergency department by ambulance a total of 14,263 times during the study period, 1222 times (8.6%) and 636 patients (11%) met the criteria. Severity grade of suspected seizures ranged from 1 to 5 (median, 4; interquartile range, 3-4) for the 1st Group and from 1 to 5 (median, 5; interquartile range, 4-5) for the Non-1st Group. Most severe grade ranged from 1 to 5 (median, 4; interquartile range, 4-5) for the Non-1st Group. Severity grade differed significantly between groups (p < 0.001, Mann-Whitney U-test). Uni- and multivariate logistic regression tests also suggested a significant difference (p < 0.001) in severity grades.

CONCLUSION: In direct comparisons, grade of suspected seizure severity was lower in the Non-1st Group than in the 1st Group.

PMID:37643171 | DOI:10.1371/journal.pone.0290783

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Nevin Manimala Statistics

Enterobacter cloacae infection characteristics and outcomes in battlefield trauma patients

PLoS One. 2023 Aug 29;18(8):e0290735. doi: 10.1371/journal.pone.0290735. eCollection 2023.

ABSTRACT

Enterobacter cloacae is a Gram-negative rod with multidrug-resistant potential due to chromosomally-induced AmpC β-lactamase. We evaluated characteristics, antibiotic utilization, and outcomes associated with battlefield-related E. cloacae infections (2009-2014). Single initial and serial E. cloacae isolates (≥24 hours from initial isolate from any site) associated with a clinical infection were examined. Susceptibility profiles of initial isolates in the serial isolation group were contrasted against last isolate recovered. Characteristics of 112 patients with E. cloacae infections (63 [56%] with single initial isolation; 49 [44%] with serial isolation) were compared to 509 patients with bacterial infections not attributed to E. cloacae. E. cloacae patients sustained more blast trauma (78%) compared to non-E. cloacae infections patients (75%; p<0.001); however, injury severity scores were comparable (median of 34.5 and 33, respectively; p = 0.334). Patients with E. cloacae infections had greater shock indices (median 1.07 vs 0.92; p = 0.005) and required more initial blood products (15 vs. 14 units; p = 0.032) compared to patients with non-E. cloacae infections. Although E. cloacae patients had less intensive care unit admissions (80% vs. 90% with non-E. cloacae infection patients; p = 0.007), they did have more operating room visits (5 vs. 4; p = 0.001), longer duration of antibiotic therapy (43.5 vs. 34 days; p<0.001), and lengthier hospitalizations (57 vs. 44 days; p<0.001). Patients with serial E. cloacae had isolation of infecting isolates sooner than patients with single initial E. cloacae (median of 5 vs. 8 days post-injury; p = 0.046); however, outcomes were not significantly different between the groups. Statistically significant resistance to individual antibiotics did not develop between initial and last isolates in the serial isolation group. Despite current combat care and surgical prophylaxis guidelines recommending upfront provision of AmpC-inducing antibiotics, clinical outcomes did not differ nor did significant antibiotic resistance develop in patients who experienced serial isolation of E. cloacae versus single initial isolation.

PMID:37643169 | DOI:10.1371/journal.pone.0290735

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Nevin Manimala Statistics

Translation, Transcultural Adaptation, and Validation of the Hebrew Language Version of the Orthognathic Quality of Life Questionnaire for the Assessment of Quality of Life in Orthognathic Patients

J Craniofac Surg. 2023 Aug 29. doi: 10.1097/SCS.0000000000009702. Online ahead of print.

ABSTRACT

INTRODUCTION: Dentofacial deformities impose a negative impact on quality of life (QOL). Orthognathic surgery is the main pillar of treatment for these conditions and has proven its impact on the improvement of the functional and psychosocial aspects of QOL. The Orthognathic Quality of Life Questionnaire (OQLQ), developed by Cunningham and colleagues, is a well-established instrument for assessing QOL in patients with dentofacial deformities.

OBJECTIVE: The aim of this study was to perform a translation, transcultural adaptation, and validation of a Hebrew version of the OQLQ.

METHODS: Transcultural adaptation was done following guidelines proposed by Beaton and colleagues resulting in a pilot study conducted on 20 patients undergoing orthognathic surgery. Internal consistency, reliability, and sensitivity were evaluated by means of Cronbach alpha, intraclass correlation coefficient (test-retest), and Wilcoxon test, respectively. Validity was assessed by comparing the OQLQ with the Hebrew version of the Oral Health Impact Scale-14 (Oral Health Impact Profile Scale-14) using the Spearman correlation test.

RESULTS: Internal consistency showed a good correlation between domains and excellent test-retest reliability. Sensitivity to change was statistically significant in all but 3 questions. The Hebrew version of the OQLQ exhibited a strong correlation with Oral Health Impact Profile Scale-14 in total score and moderate to high correlations among domains.

CONCLUSION: The Hebrew version of the OQLQ is a valid and reliable and specific instrument to measure QOL for Hebrew-speaking patients undergoing orthognathic surgery.

PMID:37643130 | DOI:10.1097/SCS.0000000000009702

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Nevin Manimala Statistics

Bioconcentration Assessment in Fish Based on In Vitro Intrinsic Clearance: Predictivity of an Empirical Model Compared to In Vitro-In Vivo Extrapolation Models

Environ Sci Technol. 2023 Aug 29. doi: 10.1021/acs.est.3c02216. Online ahead of print.

ABSTRACT

To estimate the bioconcentration factor (BCF), the in vitro intrinsic clearance (CLIN VITRO,INT) from rainbow trout liver S9 fractions (RT-S9) can be applied to in vitro-in vivo extrapolation (IVIVE) models, yet uncertainties remain in model parameterization. An alternative model approach is evaluated: a regression model was built in the form log BCF = a × log Kow + b × log CLIN VITRO,INT. The coefficients a and b were fitted based on a training set of 40 chemicals. A high robustness of the coefficients and good accuracy of BCF prediction were found on independent datasets of neutral organic chemicals (measured log Kow 3.3-6.2). BCF predictions were similar to or in better agreement with in vivo BCFs compared to IVIVE models (2.4- to 2.9- vs 2.8- to 3.6-fold misprediction) for training and test sets. Species-matched models (trout, carp) did not result in improvements. This study presents the largest dataset on CLIN VITRO,INT and BCFs to assess predictivity of the RT-S9 assay. The robustness of the regression statistics on different datasets and the high statistical weight of the CLIN VITRO,INT term illustrate the predictive power of the RT-S9 assay as an important step toward regulatory acceptance to replace animal experiments.

PMID:37643004 | DOI:10.1021/acs.est.3c02216

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Nevin Manimala Statistics

Evaluation of the Effectiveness of Assistive Technology for Executive Function Support for People With Acquired Brain Injury: Protocol for Single-Case Experimental Designs

JMIR Res Protoc. 2023 Aug 29;12:e48503. doi: 10.2196/48503.

ABSTRACT

BACKGROUND: Executive function, including prospective memory, initiating, planning, and sequencing everyday activities, is frequently affected by acquired brain injury (ABI). Executive dysfunction necessitates the use of compensatory cognitive strategies and, in more severe cases, human support over time. To compensate for the executive dysfunction experienced, growing options for electronic mainstream and assistive technologies may be used by people with ABI and their supporters.

OBJECTIVE: We outline the study protocol for a series of single-case experimental designs (SCEDs) to evaluate the effectiveness of smart home, mobile, and/or wearable technologies in reducing executive function difficulties following ABI.

METHODS: Up to 10 adults with ABI who experience executive dysfunction and have sufficient cognitive capacity to provide informed consent will be recruited across Victoria and New South Wales, Australia. Other key inclusion criteria are that they have substantial support needs for everyday living and reside in community dwellings. On the basis of the participant’s identified goal(s) and target behavior(s), a specific electronic assistive technology will be selected for application. Both identification of the target behavior(s) and selection of the assistive technology will be determined via consultation with each participant (and their key support person, if applicable). The choice of SCED will be individualized for each participant based on the type of technology used in the intervention, the difficulty level of the behavior targeted for change, and the anticipated rate of change. For each SCED, repeated measurements of the target behavior(s) during the baseline condition will provide performance data for comparison with the performance data collected during the intervention condition (with technology introduced). Secondary outcome measures will evaluate the impact of the intervention. The protocol includes 2 customizable Microsoft Excel spreadsheets for electronic record keeping.

RESULTS: Recruitment period is June 2022 through March 2024. Trial results for the individual participants will be graphed and analyzed separately using structured visual analysis supplemented with statistical analysis. Analysis will focus on important features of the data, including both within- and between-phase comparisons for response level, trend, variability, immediacy, consistency, and overlap. An exploratory economic evaluation will determine the impact on formal and informal support usage, together with quality of life, following the implementation of the new technological intervention.

CONCLUSIONS: The study has been designed to test the cause-effect functional relationships between the intervention-in this case, electronic assistive technology-and its effect in changing the target behavior(s). The evaluation evidence gained will offer new insights into the application of various electronic assistive technologies for people who experience executive dysfunction following ABI. Furthermore, the results will help increase the capacity of key stakeholders to harness the potential of technology to build independence and reduce the cost of care for this population.

TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12622000835741, https://www.anzctr.org.au/ACTRN12622000835741.aspx.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48503.

PMID:37642985 | DOI:10.2196/48503

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Nevin Manimala Statistics

Cause of Death in Patients with Oropharyngeal Carcinoma by Human Papillomavirus Status: Comparative Data Analysis

JMIR Public Health Surveill. 2023 Aug 29;9:e47579. doi: 10.2196/47579.

ABSTRACT

BACKGROUND: The incidence of oropharyngeal squamous cell carcinomas (OPSCC) has increased in recent decades, and human papillomavirus (HPV) infection is the main cause of OPSCC. The data regarding causes of death (CODs) are vitally important in informing follow-up strategies and revising treatment strategies to deal with any possible preventable treatment-related COD. However, limited studies have assessed the competing COD by HPV status in patients with OPSCC.

OBJECTIVE: We aimed to analyze the distribution of the competing COD according to HPV status in OPSCC.

METHODS: We retrospectively included stage I-IVB patients with OPSCC from the Surveillance, Epidemiology, and End Results database between 2010 and 2015. The association between HPV status and head and neck cancer-specific mortality (HNCSM), second primary cancer mortality (SPCM), and noncancer-caused mortality (NCCM) were analyzed. The chi-square test, Kaplan-Meier analysis, and Fine and Gray model were used for statistical analysis.

RESULTS: We included 5852 patients in this study and 73.2% (n=4283) of them had HPV-related tumors. A total of 1537 (26.3%) patients died, including 789 (51.3%), 333 (21.7%), and 415 (27%) patients who died from head and neck cancer, second cancer, and noncancer causes, respectively. The 5-year HNCSM, SPCM, NCCM, and overall mortality were 14.7%, 6.5%, 7.7%, and 26.4%, respectively. Those with HPV-positive disease had a lower cumulative incidence of HNCSM (subdistribution hazard ratio [sHR] 0.362, 95% CI 0.315-0.417; P<.001), SPCM (sHR 0.400, 95% CI 0.321-0.496; P<.001), and NCCM (sHR 0.460, 95% CI 0.378-0.560; P<.001) than those with HPV-negative disease. The 5-year risk of HNCSM was 26.9% and 10.7% in those with HPV-negative and HPV-positive disease, respectively (P<.001). The 5-year risk of SPCM was 12.4% and 4.6% in those with HPV-negative and HPV-positive disease, respectively (P<.001). The 5-year risk of NCCM of death was 13.7% and 5.8% in those with HPV-negative and HPV-positive disease, respectively (P<.001). Using the Fine and Gray competing-risks model, our results show that those with HPV-negative tumors had a significantly higher risk of HNCSM (P<.001), SPCM (P<.001), and NCCM (P<.001) than those with HPV-negative tumors.

CONCLUSIONS: HPV-positive OPSCC has a lower NCSM, SPCM, and NCCM as compared to those with HPV-negative OPSCC. HPV positivity is a favorable prognostic factor in the context of overcoming cancer as well as in terms of reducing the risk of other CODs in OPSCC. Our finding supports the need to tailor patient follow-up based on the HPV status of patients with OPSCC.

PMID:37642982 | DOI:10.2196/47579