Tag: statistics

Hum Fertil (Camb). 2023 Feb 20:1-6. doi: 10.1080/14647273.2023.2179896. Online ahead of print.

ABSTRACT

The purpose of this study was to evaluate the incidence of unbalanced chromosome rearrangement in blastocyst-stage embryos from carriers of pericentric inversion of chromosome 1 (PEI-1). A total of 98 embryos from 22 PEI-1 carriers were tested for unbalanced rearrangements, originating from inversion carriers, and overall aneuploidy. Logistic regression analysis indicated that the ratio of inverted segment size to chromosome length was a statistically significant risk factor for unbalanced chromosome rearrangement from PEI-1 carriers (p = 0.003). The optimal cut-off values to predict the risk of unbalanced chromosome rearrangement was 36%, with the incidence being 2.0% in the <36% group and 32.7% in the ≥36% group. The unbalanced embryo rate was 24.4% in male carriers compared to 12.3% in female carriers. Inter-chromosomal effect analysis was performed using 98 blastocysts from PEI-1 carriers and 116 blastocysts from age-matched controls. PEI-1 carriers had similar sporadic aneuploidy rates compared to those of age-matched controls at 32.7 vs. 31.9%, respectively. In conclusion, the risk of unbalanced chromosome rearrangement is affected by inverted segment size in PEI-1 carriers.

PMID:36803371 | DOI:10.1080/14647273.2023.2179896

Expert Rev Anti Infect Ther. 2023 Feb 20. doi: 10.1080/14787210.2023.2181789. Online ahead of print.

ABSTRACT

BACKGROUND: Little is known about the duration of antibiotic use in hospital settings. We evaluated the duration of hospital antibiotic therapy (as a quality indicator proxy) for four commonly prescribed antibiotics (amoxicillin, co-amoxiclav, doxycycline and flucloxacillin) including the assessment of COVID-19 impact.

METHODS: A repeated, cross-sectional study using the Hospital Electronic Prescribing and Medicines Administration system (January/2019-March/2022). Monthly median duration of therapy/duration categories were calculated, stratified by routes of administration, age and sex. Impact of COVID-19 was assessed using segmented time-series analysis.

RESULTS: There were significant variations in the median duration of therapy across routes of administration (P<0.05), with the highest value among those antibiotic courses comprised of both oral and IV antibiotics (“Both” group). Significantly higher proportions of prescriptions within the “Both” group had a duration of > 7 days compared to oral or IV. Duration of therapy overall differed significantly by age. Some small statistically significant changes in the level/trends of duration of therapy were observed in the post- COVID-19 period.

CONCLUSIONS: No evidence for prolonged duration of therapy were observed, even during COVID-19 pandemic. Duration of IV therapy was relatively short suggesting timely clinical review and consideration of IV to oral switch. Longer duration of therapy was observed among older patients.

PMID:36803370 | DOI:10.1080/14787210.2023.2181789

BMC Med Educ. 2023 Feb 17;23(1):118. doi: 10.1186/s12909-023-04071-0.

ABSTRACT

BACKGROUND: The purpose of this article is to discuss the statistical methods for agreement analysis used in Richelle’s article (BMC Med Educ 22:335, 2022). The authors investigated the attitudes of final-year medical students regarding substance use during pregnancy and identified the factors that influence these attitudes.

METHODS: We found that Cohen’s kappa value for measuring the agreement between these medical students’ attitudes towards drugs/alcohol use during pregnancy was questionable. In addition, we recommend using weighted kappa instead of Cohen’s kappa for agreement analysis at the presence of three categories.

RESULTS: The agreement improved from “good” (Cohen’s kappa) to “very good” (weighted kappa) for medical students’ attitudes towards drugs/alcohol use during pregnancy.

CONCLUSION: To conclude, we recognize that this does not significantly alter the conclusions of the Richelle et al. paper, but it is necessary to ensure that the appropriate statistical tools are used.

PMID:36803351 | DOI:10.1186/s12909-023-04071-0

J Clin Child Adolesc Psychol. 2023 Feb 20:1-13. doi: 10.1080/15374416.2023.2169924. Online ahead of print.

ABSTRACT

OBJECTIVE: Depression disparities between heterosexual youth and lesbian, gay, bisexual, queer, and other non-heterosexual (LGBQ+) youth are robust and linked to discrimination in schools. Advocacy by school-based Gender-Sexuality Alliances (GSAs) to raise awareness of LGBQ+ issues and to counteract discrimination may reduce these disparities within schools, yet has not been investigated schoolwide. We considered whether GSA advocacy over the school year moderated sexual orientation differences in depressive symptoms at the school year’s end for students in the general school population (i.e., students who were not members of the GSA).

METHOD: Participants were 1,362 students (M_age = 15.68; 89% heterosexual; 52.6% female; 72.2% White) in 23 Massachusetts secondary schools with GSAs. Participants reported depressive symptoms at the beginning and end of the school year. Separately, GSA members and advisors reported their GSA’s advocacy activities during the school year and other GSA characteristics.

RESULTS: LGBQ+ youth reported higher depressive symptoms than heterosexual youth at the school year’s beginning. However, after adjusting for initial depressive symptoms and multiple covariates, sexual orientation was a weaker predictor of depressive symptoms at the school year’s end for youth in schools whose GSAs engaged in more advocacy. Depression disparities were significant in schools whose GSAs reported lower advocacy, but were statistically non-significant in schools whose GSAs reported higher advocacy.

CONCLUSION: Advocacy could be a means by which GSAs achieve school-wide impacts, benefiting LGBQ+ youth who are not GSA members. GSAs may therefore be a key resource for addressing the mental health needs of LGBQ+ youth.

PMID:36803346 | DOI:10.1080/15374416.2023.2169924

J Hand Surg Asian Pac Vol. 2023 Feb 13. doi: 10.1142/S2424835523500029. Online ahead of print.

ABSTRACT

Background: The coexistence of carpal tunnel syndrome (CTS) and trapeziometacarpal (TMC) osteoarthritis have been previously described. The influence of TMC osteoarthritis in the outcomes of CTS surgery is yet to be elucidated. The purpose of this study is to examine the prevalence of TMC osteoarthritis in patients who underwent open carpal tunnel release (OCTR) and to analyse the influence of osteoarthritis on the postoperative outcomes of CTS. Methods: We retrospectively reviewed 134 procedures on 113 patients who underwent OCTR between 2002 and 2017. The presence of TMC osteoarthritis was based upon preoperative plain radiograph. For the evaluation of CTS, pre- and postoperative muscle power of abductor pollicis brevis (APB) muscle by manual muscle testing (MMT) and distal motor latency (DML) detected on the APB muscle was examined. Results: The mean follow-up period was 11.4 months. The prevalence of radiographic TMC osteoarthritis was 40% in patients who underwent OCTR. In electrophysiological study, the mean pre- and postoperative DML showed no statistical difference regardless of the coexistence of TMC osteoarthritis. However, there was a significantly higher incidence of poorer muscle strength of the APB in patients with TMC osteoarthritis. No patients complained of TMC joint pain prior to OCTR, but four cases developed TMC joint pain during the postoperative follow-up period, all of whom had full recovery of APB muscle strength. Conclusions: The presence of asymptomatic TMC osteoarthritis may affect the postoperative outcomes of OCTR, so preoperative evaluation of TMC osteoarthritis should be considered in patients undergoing OCTR. In addition, the symptoms of TMC osteoarthritis may worsen in some patients after CTS surgery and should be taken into consideration during the postoperative follow-up. Level of Evidence: Level IV (Therapeutic).

PMID:36803330 | DOI:10.1142/S2424835523500029

BMC Public Health. 2023 Feb 17;23(1):359. doi: 10.1186/s12889-023-15160-6.

ABSTRACT

BACKGROUND: The spread of the COVID-19 (SARS-CoV-2) and the surging number of cases across the United States have resulted in full hospitals and exhausted health care workers. Limited availability and questionable reliability of the data make outbreak prediction and resource planning difficult. Any estimates or forecasts are subject to high uncertainty and low accuracy to measure such components. The aim of this study is to apply, automate, and assess a Bayesian time series model for the real-time estimation and forecasting of COVID-19 cases and number of hospitalizations in Wisconsin healthcare emergency readiness coalition (HERC) regions.

METHODS: This study makes use of the publicly available Wisconsin COVID-19 historical data by county. Cases and effective time-varying reproduction number [Formula: see text] by the HERC region over time are estimated using Bayesian latent variable models. Hospitalizations are estimated by the HERC region over time using a Bayesian regression model. Cases, effective Rt, and hospitalizations are forecasted over a 1-day, 3-day, and 7-day time horizon using the last 28 days of data, and the 20%, 50%, and 90% Bayesian credible intervals of the forecasts are calculated. The frequentist coverage probability is compared to the Bayesian credible level to evaluate performance.

RESULTS: For cases and effective [Formula: see text], all three time horizons outperform the three credible levels of the forecast. For hospitalizations, all three time horizons outperform the 20% and 50% credible intervals of the forecast. On the contrary, the 1-day and 3-day periods underperform the 90% credible intervals. Questions about uncertainty quantification should be re-calculated using the frequentist coverage probability of the Bayesian credible interval based on observed data for all three metrics.

CONCLUSIONS: We present an approach to automate the real-time estimation and forecasting of cases and hospitalizations and corresponding uncertainty using publicly available data. The models were able to infer short-term trends consistent with reported values at the HERC region level. Additionally, the models were able to accurately forecast and estimate the uncertainty of the measurements. This study can help identify the most affected regions and major outbreaks in the near future. The workflow can be adapted to other geographic regions, states, and even countries where decision-making processes are supported in real-time by the proposed modeling system.

PMID:36803324 | DOI:10.1186/s12889-023-15160-6

Phlebology. 2023 Feb 21:2683555231157566. doi: 10.1177/02683555231157566. Online ahead of print.

ABSTRACT

OBJECTIVE: To investigate the effect of the timing of iliac vein stent implantation on catheter-directed thrombolysis (CDT) in acute lower extremity deep venous thrombosis (DVT) patients with severe iliac vein stenosis.

METHODS: The clinical data of 66 patients with acute lower extremity DVT complicated with severe iliac vein stenosis from May 2017 to May 2020 were retrospectively analyzed. Patients were divided into two groups by timing of iliac vein stent implantation: group A (iliac vein stent implantation before CDT treatment) for 34 and group B (iliac vein stent implantation after CDT treatment) for 32. The detumescence rate of affected limb, the thrombus clearance rate, the thrombolytic efficiency, the complication rate, the hospitalization cost, the stent patency rate within 1 year, and the scores (venous clinical severity score, Villalta, and chronic venous insufficiency questionnaire (CIVIQ) score) at 1 year postoperatively were compared between the two groups.

RESULTS: The thrombolytic efficiency of group A was higher than that of group B, while the incidence of complications and hospitalization expenses in group A were lower than those in group B. There was no statistical significance in the detumescence rate of affected limb, the thrombus clearance rate, the stent patency rate within 1 year, and the scores (VCSS, Villalta, and CIVIQ score) at 1 year postoperatively between the two groups.

CONCLUSIONS: For acute lower extremity DVT patients with severe iliac vein stenosis, iliac vein stent implantation before CDT treatment can improve the thrombolytic efficiency, and reduce the incidence of complications and hospitalization costs.

PMID:36803312 | DOI:10.1177/02683555231157566

BMC Cardiovasc Disord. 2023 Feb 20;23(1):94. doi: 10.1186/s12872-023-03113-1.

ABSTRACT

BACKGROUND: The Post Discharge Management of patients with heart failure impact significantly their incomes. This study aims to analyze the clinical findings and management at the first medical visit of these patients in our context.

MATERIAL AND METHODS: This is a retrospective cross-sectional descriptive study on consecutive files of patients hospitalized for heart failure from January to December 2018 in our Department. We analyse data from the first post discharge medical visit including medical visit time, clinical conditions and management.

RESULTS: Three hundred and eight patients (mean age: 53.4 ± 17.0 years, 60% males) were hospitalized on median duration of 4 days [1-22 days]. One hundred and fifty-three patients (49,67%) were presented at the first medical visit after 66.53 days[0.06-369] on average, 10 (3.24%) patients died before this first medical visit and 145 (47.07%) had been lost to follow-up. The re-hospitalization and treatment non-compliance rates were 9.4% and 3.6%, respectively. Male gender (p = 0.048), renal failure (p = 0.010), and Vitamin K antagonist (VKA) /direct oral anticoagulant (DOAC) (p = 0.049) were the main lost to follow-up factors in univariate analysis without statistic signification in multivariate analysis. Hyponatremia (OR = 2.339; CI 95% = 0.908-6.027; p = 0.020) and atrial fibrillation (OR = 2.673; CI 95% = 1.321-5.408; p = 0.012) were the major mortality factors.

CONCLUSION: The management of patients with heart failure after discharge from hospital seems to be insufficient and inadequate. A specialized unit is required to optimize this management.

PMID:36803293 | DOI:10.1186/s12872-023-03113-1

Lupus. 2023 Feb 20:9612033231157073. doi: 10.1177/09612033231157073. Online ahead of print.

ABSTRACT

OBJECTIVES: To explore the feasibility and effectiveness of telehealth-supervised exercise for adults with Systemic lupus erythematosus (SLE).

METHODS: This was a non-randomised controlled pilot trial comparing telehealth-supervised exercise (8 weeks, 2 days/week, 45 min, moderate intensity) plus usual care with usual care alone. Mixed methods were used to assess change in fatigue (FACIT-fatigue), quality of life (SF36), resting fatigue and pain (11-point scale), lower body strength (five-time sit-to-stand) and endurance (30 s sit-to-stand), upper body endurance (30 s arm curl), aerobic capacity (2 min step test), and experience (survey and interviews). Group comparison was performed statistically using a two-sample T-test or Mann-Whitney U-test. Where known, we used MCID or MCII, or assumed a change of 10%, to determine clinically meaningful change within groups over time. Interviews were analysed using reflexive thematic analysis.

RESULTS: Fifteen female adults with SLE were included (control group n = 7, exercise group n = 8). Statistically significant differences between groups, in favour of the exercise intervention, were noted for SF36 domain emotional well-being (p = 0.048) and resting fatigue (p = 0.012). There were clinically meaningful improvements over time for FACIT-fatigue (+6.3 ± 8.3, MCID >5.9), SF36 domains physical role functioning (+30%), emotional role functioning (+55%), energy/fatigue (+26%), emotional well-being (+19%), social functioning (+30%), resting pain (-32%), and upper body endurance (+23%) within the exercise group. Exercise attendance was high (98%, 110/112 sessions); participants strongly agreed (n = 5/7, 71%) or agreed (n = 2/7, 29%) they would do telehealth-supervised exercise again and were satisfied with the experience. Four themes emerged: (1) ease and efficiency of exercising from home, (2) value of live exercise instruction, (3) challenges of exercising at home, and (4) continuation of telehealth-supervised exercise sessions.

CONCLUSION: Key findings from this mixed-method investigation suggest that telehealth-supervised exercise was feasible for, and well-accepted by, adults with SLE and resulted in some modest health improvements. We recommend a follow-up RCT with more SLE participants.

PMID:36803286 | DOI:10.1177/09612033231157073

Appl Neuropsychol Adult. 2023 Feb 20:1-12. doi: 10.1080/23279095.2023.2175321. Online ahead of print.

ABSTRACT

Homelessness is a multifactorial issue, influenced by structural and individual factors. These factors include health status, which has been reported to be poorer among people experiencing homelessness. Although the somatic and mental health of homeless individuals has already been studied in France, to our knowledge, no research has been conducted on neuropsychological functioning in this country. Studies out with France have identified cognitive impairments as highly prevalent among homeless people, and these impairments are likely affected by local structural factors, such as healthcare access. Therefore, we conducted an exploratory study in Paris to evaluate cognition and associated factors in homeless adults. The second objective was to identify methodological specificities to consider in a future larger-scale study and for the application of the outcomes. For this exploratory phase, 14 individuals were recruited from specific services and were interviewed regarding their social, neurological, and psychiatric history, before completing a set of cognitive tests. The results showed a high diversity of profiles in terms of demographic characteristics, including being a migrant and/or illiterate. A high proportion of participants had signs of traumatic brain injury, anxiety, depressive disorders, and post-traumatic stress disorders. Most cognitive scores were in the low average of normative data. No statistical association was found between identified risk factors and cognitive performance. Future studies should consider the sociodemographic specificities of the homeless population and design appropriate measurement tools to improve the understanding of neuropsychological profiles.

PMID:36803262 | DOI:10.1080/23279095.2023.2175321