Category: Statistics

J Bras Nefrol. 2024 Oct-Dec;46(4):e20240065. doi: 10.1590/2175-8239-JBN-2024-0065en.

ABSTRACT

INTRODUCTION: Erectile dysfunction (ED) is a common sexual problem among men with chronic kidney disease (CKD). The severity of sexual dysfunction tends to worsen with kidney damage. This study aims to evaluate the erectile function and sexual quality of life of adult male CKD patients undergoing hemodialysis (HD) in a hospital located in the Brazilian Amazon.

METHODS: A cross-sectional quantitative study was performed within the HD Sector of the Nephrology Unit including men with CKD aged ≥ 18 years, undergoing ≥ 3 weekly HD sessions for ≥ 3 months who had been sexually active for ≥ 6 months. We used the Male Sexual Quotient (MSQ) to measure sexual satisfaction and the International Index of Erectile Function (IIEF5) to establish erectile function. Statistical analysis was performed with SPSS 21.0 using appropriate tests, such as Mann-Whitney and Kruskal-Wallis (P < 0.05).

RESULTS: Ninety-eight patients (51.68 ± 15.28 years) were evaluated. They were primarily married/or living with a partner (60.20%), with HD time between 1 to 5 years (55.10%), and an average KTV of 1.17. ED prevalence was 66.30%, and it was associated with a higher age group (p = 0.01), lower family income (p = 0.02), diabetes (p = 0.01), lower mean corpuscular hemoglobin (p = 0.04), higher total calcium (p = 0.04), and lower albumin (p = 0.03). Around 75% classified their sex life as regular to excellent.

CONCLUSION: Despite the high ED prevalence, most men with CKD in HD reported experiencing regular to excellent sex life. The study underscores the importance of establishing effective screening and conducting routine evaluations regarding sexual issues in these men.

PMID:39116404 | DOI:10.1590/2175-8239-JBN-2024-0065en

Ophthalmic Epidemiol. 2024 Aug 8:1-9. doi: 10.1080/09286586.2024.2384061. Online ahead of print.

ABSTRACT

PURPOSE: The aim of the study was to estimate the prevalence of diagnosed vision problems and to examine the association of single and multiple chronic conditions with vision problems among middle-aged and older adults in India.

METHODS: The study utilized data from the Longitudinal Ageing Study in India (LASI) Wave 1, (2017-18). Descriptive statistics along with bivariate and multivariable analyses were conducted to achieve the study objectives.

RESULTS: The prevalence of diagnosed vision problems in the sampled population was 48.2%. The older adults (60+ years) (55.3%) had shown a greater prevalence of vision problems than the middle-aged individuals (41%). Among chronic conditions, hypertension, diabetes, chronic lung diseases, chronic heart diseases, bone related diseases, psychiatric disorders, and high cholesterol were significantly associated with vision problems in the case of both middle-aged and older adults. Furthermore, odds of experiencing vision problems according to the presence of multimorbidity were higher in the middle-aged population [adjusted odds ratio (AOR) = 1.986; confidence interval (CI):1.855-2.126] than in the older population [AOR = 1.746; CI:1.644-1.854].

CONCLUSIONS: Middle-aged and older adults with chronic illnesses and multimorbidity were at greater risk of vision problems. Due to the high prevalence of vision problem, interventions aimed at prevention or early detection are warranted.

PMID:39116402 | DOI:10.1080/09286586.2024.2384061

Am J Public Health. 2024 Aug 8:e1-e5. doi: 10.2105/AJPH.2024.307745. Online ahead of print.

ABSTRACT

Objectives. To examine trends in overdose deaths by intent and drug category to better understand the recent decrease in overdose suicides amid the overdose epidemic. Methods. We examined trends in rates of overdose deaths by intent (unintentional, suicide, or undetermined) across 9 drug categories from 1999 to 2022 using US National Vital Statistics System mortality data. Results. Unintentional overdoses involving synthetic opioids, polydrug toxicity involving synthetic opioids, psychostimulants, and cocaine increased exponentially with annual percentage changes ranging from 15.0% to 104.9% during 2010 to 2022. The death rates also increased for suicides involving these drugs, especially for psychostimulants (annual percentage change = 12.9% for 2010-2022; P < .001). However, these drugs accounted for relatively small percentages of overdose suicides. The leading drug categories among suicides were antidepressants, prescription opioids, and benzodiazepines, though these deaths have decreased or leveled off in recent years. Conclusions. Different drugs commonly involved in suicides and unintentional overdoses may contribute to their divergent trends. Public Health Implications. Amid the overdose epidemic, safe storage of medications remains a crucial strategy to prevent overdose suicides. The large increases in suicides involving psychostimulants warrant monitoring. (Am J Public Health. Published online ahead of print August 8, 2024:e1-e5. https://doi.org/10.2105/AJPH.2024.307745).

PMID:39116399 | DOI:10.2105/AJPH.2024.307745

Neurology. 2024 Sep 10;103(5):e209776. doi: 10.1212/WNL.0000000000209776. Epub 2024 Aug 8.

ABSTRACT

BACKGROUND AND OBJECTIVES: Anxiety and depression have implications for ischemic stroke recovery. This study explored the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke using Mendelian randomization (MR) approach.

METHODS: Independent genetic variants associated with anxiety and depression at genome-wide significance level (p < 5 × 10^-8) were obtained from large-scale genome-wide association studies (N_max = 1,306,354). Genetic results of poststroke outcome were obtained from Genetics of Ischemic Stroke Functional Outcome meta-analysis (N = 6,021). Three months after ischemic stroke event, the functional outcome was appraised with the modified Rankin Scale (mRS) score, and a mRS >2 was defined as worse functional outcome. Odds ratios (ORs) and 95% CIs are reported for the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke. The inverse-variance weighted method was adopted to pool estimates. Alternative MR methods such as the weighted median and MR using the Robust Adjusted Profile Score were used as sensitivity analyses. The intercept of MR-Egger regression was also adopted to assess pleiotropy. The heterogeneity among variants was assessed by I² and Q statistics.

RESULTS: Genetic liability to depression was associated with worse functional outcome after stroke (mRS 3-6, OR 2.30; 95% CI 1.18-4.49, p = 0.015). Sensitivity analyses produced consistent results. The bidirectional MR analysis indicates that poststroke outcome did not influence liability to depression (OR 1.01, 95% CI 0.99-1.03; p = 0.436). By comparison, genetic liability to anxiety was not related with poststroke outcome (OR 1.03; 95% CI 0.71-1.50; p = 0.869). Analyses in models without adjustment for stroke severity also indicated that genetic liability to depression was related with poor functional outcome after ischemic stroke (OR 2.54; 95% CI 1.41-4.58; p = 0.002). No evidence of heterogeneity or directional pleiotropy was observed (p > 0.05).

DISCUSSION: Our MR study provides evidence to support detrimental effects of depression on ischemic stroke functional outcome. Future studies are warranted to explore whether clinical intervention on depression can ameliorate functional outcome after ischemic stroke.

PMID:39116372 | DOI:10.1212/WNL.0000000000209776

JCO Glob Oncol. 2024 Aug;10:e2400066. doi: 10.1200/GO.24.00066.

ABSTRACT

PURPOSE: To review the economic burden assessment of cervical cancer in low- and middle-income countries (LMICs) and use the findings to develop a pragmatic, standardized framework for such assessment.

METHODS: We first systematically reviewed articles indexed in scientific databases reporting the methodology for collecting and calculating costs related to the cervical cancer burden in LMICs. Data on study design, costing approach, cost perspective, costing period, and cost type (direct medical costs [DMC], direct nonmedical costs [DNMC], and indirect costs [IC]) were extracted. Finally, we summarized the reported limitations in the methodology and used the solutions to inform our framework.

RESULTS: Cervical cancer treatment costs across LMICs vary greatly and can be extremely expensive, up to 70,968 International US dollars. Economic and financial assessment methods also vary greatly across countries. Of the 28 reviewed articles, 25 studies reported DMC for cervical cancer treatment by extracting cost information from billing or insurance databases (eight studies), conducting surveys (five), and estimating the costs (12). Only 11 studies-mainly through surveys-reported DNMC and IC. The economic burden assessment framework includes health care/payer and societal perspectives (DMC, DNMC, IC, and human capital loss) across the cervical cancer screening and treatment continuum. To assess health care/payer costs, we recommend combining the predefined treatment standards with actual local treatment practices, multiplied by unit costs. To assess societal costs, we recommend conducting a cost survey in line with a standardized yet adaptable protocol.

CONCLUSION: Our standardized, pragmatic framework allows assessment of economic and financial burden of cervical cancer in LMICs despite the different levels of available resources across countries. This framework will facilitate global comparisons and monitoring and may also be applied to other cancers.

PMID:39116362 | DOI:10.1200/GO.24.00066

JCO Glob Oncol. 2024 Aug;10:e2400110. doi: 10.1200/GO.24.00110.

ABSTRACT

PURPOSE: Women living with HIV (WLWH) experience decreased breast cancer survival. We sought to determine whether WLWH surviving breast cancer also experienced different quality of life (QOL) gain.

METHODS: Women who enrolled in the Thabatse Cancer Cohort across oncology centers in Botswana for the initial treatment of stage I-III breast cancer from October 2010 to February 2022 were included. Exclusion criteria were no documented definitive therapy and incomplete data at treatment end or 24 ± 3 months after treatment. QOL was measured quarterly using the SF-8 questionnaire. G methods using weighted exposure and outcome modules were used to mitigate potential bias from imbalances in demographic and cancer characteristics by HIV status. Primary analysis was change in physical component summary (PCS) and mental component summary (MCS) from treatment end to 24 months after treatment for WLWH compared with women without HIV.

RESULTS: Of 603 women enrolled, the final analysis included 298, comprising 85 WLWH and 213 women without HIV. Most common reasons for exclusion were no documented definitive treatment (n = 114) and death before 21 months after treatment (n = 137). WLWH were younger, were less wealthy, and had more estrogen receptor/progesterone receptor positive tumors. Overall, PCS and MCS significantly increased from treatment end to 24 months after treatment, from 50.8 to 52.8 and 51.8 to 53.7, respectively. There was no difference in the change of the PCS or MCS with HIV infection, 2.2 (95% CI, -0.4 to 4.9) and 0.6 (95% CI, -1.7 to 2.9), respectively.

CONCLUSION: HIV infection did not impede QOL gain at 24 months after treatment in women surviving breast cancer. Further work is needed to clarify the role of HIV on specific treatment-related morbidities and in other malignancies.

PMID:39116360 | DOI:10.1200/GO.24.00110

J Acquir Immune Defic Syndr. 2024 Sep 1;97(1):13-18. doi: 10.1097/QAI.0000000000003466.

ABSTRACT

BACKGROUND: People with HIV (PWH) have higher risk of COVID-19 mortality. SARS-CoV-2 vaccination is highly effective among PWH, although vaccine hesitancy could limit the population-level impact.

SETTING: From February 2021 to April 2022, PWH from 8 sites in the Centers for AIDS Research Network of Integrated Clinical Systems completed a vaccine hesitancy instrument as part of routine care.

METHODS: Participants were defined as vaccine hesitant if they had not received the SARS-CoV-2 vaccine and would probably/definitely not receive it. We assessed factors associated with SARS-CoV-2 vaccine hesitancy using logistic regression adjusted for demographics, unsuppressed viral load (VL > 200 copies/mL), month, and time on ART; using inverse probability weighting for survey nonresponse.

RESULTS: Overall, 3288 PWH with a median age of 55 were included; 18% were female and 94% were virally suppressed. At the time of survey, 27% reported they had not received the SARS-CoV-2 vaccine, and 9% (n = 279) reported vaccine hesitancy. Factors associated with vaccine hesitancy included female sex (adjusted odds ratio [AOR] = 2.3; 95% confidence interval (CI): 1.6-3.2), Black vs. White race (AOR 1.7; 95% CI: 1.2 to 2.4), younger age (AOR 1.4; 95% CI: 1.2 to 1.5), and unsuppressed VL (AOR 1.9; 95% CI: 1.3 to 3.0).

CONCLUSION: Overall, over one-quarter of PWH in this multisite cohort were unvaccinated for SARS-CoV-2 when interviewed February 21-April 22. Vaccine hesitancy was reported by approximately 9% of PWH and was higher among women, Black PWH, younger PWH, PWH with unsuppressed VL, and those in the South/Midwest. Renewed efforts are needed to address concerns of PWH about vaccinations against COVID-19 as the pandemic evolves, and vaccines in general, given the potential for future pandemics.

PMID:39116328 | DOI:10.1097/QAI.0000000000003466

J Speech Lang Hear Res. 2024 Aug 8:1-17. doi: 10.1044/2024_JSLHR-23-00595. Online ahead of print.

ABSTRACT

PURPOSE: Communication can be chronically impacted by severe traumatic brain injury (TBI), yet there is a critical lack of research investigating communication recovery beyond 12 months postinjury with discourse measures. This longitudinal study aimed to investigate quantitative and qualitative changes in important event recounts produced by a group of people with severe TBI up to 2 years postinjury.

METHOD: A prospective observational design with an inception cohort was adopted. Thirty-four participants with severe TBI were asked to produce an important event recount at 6, 12, and 24 months postinjury. A mixed-methods approach comprised a quantitative analysis of microlinguistic and macrostructural measures, using the automated discourse command EVAL in Computerized Language Analysis (CLAN) and the CLAN Collaborative Commentary tool, respectively. Statistical analysis included a repeated-measures analysis of variance and the Friedman test. An independent qualitative content analysis was also conducted.

RESULTS: The measures revealed significant differences between 6 and 24 months, indicating a protracted recovery trajectory. The microlinguistic analysis showed increased use of revision and repetition over time. The macrostructural analysis indicated changes with orientation to recount characters, evaluative comments, and the number of events or complexity of the recount. The content analysis revealed categories of (a) childhood events, (b) family and relationships, (c) career and education, and (d) grief and loss. Topics at 6 months focused on childhood events and holidays, whereas career and education predominated at 24 months.

CONCLUSIONS: This is the first study to explore important event recounts told by people with severe TBI as they recovered. Participants showed discourse recovery beyond 12 months, highlighting the need for equivalent timing of service provision. The important event recount shows good potential as an ecologically valid assessment tool to evaluate communication recovery that can also be integrated with advances in computerized analysis. Analyses additionally provided insights into potential therapy targets and content categories for chronic discourse impairments.

SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.26499271.

PMID:39116308 | DOI:10.1044/2024_JSLHR-23-00595

PLoS Comput Biol. 2024 Aug 8;20(8):e1012345. doi: 10.1371/journal.pcbi.1012345. Online ahead of print.

ABSTRACT

Human behaviors have non-negligible impacts on spread of contagious disease. For instance, large-scale gathering and high mobility of population could lead to accelerated disease transmission, while public behavioral changes in response to pandemics may effectively reduce contacts and suppress the peak of the outbreak. In order to understand how spatial characteristics like population mobility and clustering interplay with epidemic outbreaks, we formulate a stochastic-statistical environment-epidemic dynamic system (SEEDS) via an agent-based biased random walk model on a two-dimensional lattice. The “popularity” and “awareness” variables are taken into consideration to capture human natural and preventive behavioral factors, which are assumed to guide and bias agent movement in a combined way. It is found that the presence of the spatial heterogeneity, like social influence locality and spatial clustering induced by self-aggregation, potentially suppresses the contacts between agents and consequently flats the epidemic curve. Surprisedly, disease responses might not necessarily reduce the susceptibility of informed individuals and even aggravate disease outbreak if each individual responds independently upon their awareness. The disease control is achieved effectively only if there are coordinated public-health interventions and public compliance to these measures. Therefore, our model may be useful for quantitative evaluations of a variety of public-health policies.

PMID:39116182 | DOI:10.1371/journal.pcbi.1012345

PLoS One. 2024 Aug 8;19(8):e0307845. doi: 10.1371/journal.pone.0307845. eCollection 2024.

ABSTRACT

BACKGROUND: Canadian health systems fare poorly in providing timely access to elective surgical care, which is crucial for quality, trust, and satisfaction.

METHODS: We conducted a cross-sectional analysis of surgical wait times for adults receiving non-urgent cataract surgery, knee arthroplasty, hip arthroplasty, gallbladder surgery, and non-cancer uterine surgery in Ontario, Canada, between 2013 and 2019. We obtained data from the Wait Times Information System (WTIS) database. Inter- and intra-hospital and surgeon variations in wait time were described graphically with caterpillar plots. We used non-nested 3-level hierarchical random effects models to estimate variation partition coefficients, quantifying the proportion of wait time variance attributable to surgeons and hospitals.

RESULTS: A total of 942,605 procedures at 107 healthcare facilities, conducted by 1,834 surgeons, were included in the analysis. We observed significant intra- and inter-provider variations in wait times across all five surgical procedures. Inter-facility median wait time varied between six-fold for gallbladder surgery and 15-fold for knee arthroplasty. Inter-surgeon variation was more pronounced, ranging from a 17-fold median wait time difference for cataract surgery to a 216-fold difference for non-cancer uterine surgery. The proportion of variation in wait times attributable to facilities ranged from 6.2% for gallbladder surgery to 23.0% for cataract surgery. In comparison, surgeon-related variation ranged from 16.0% for non-cancer uterine surgery to 28.0% for cataract surgery.

IMPLICATIONS: There is extreme variability in surgical wait times for five common, high-volume, non-urgent surgical procedures. Strategies to address surgical wait times must address the variation between service providers through better coordination of supply and demand. Approaches such as single-entry models could improve surgical system performance.

PMID:39116181 | DOI:10.1371/journal.pone.0307845