Category: Statistics

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

PLoS One. 2024 Aug 8;19(8):e0300155. doi: 10.1371/journal.pone.0300155. eCollection 2024.

ABSTRACT

BACKGROUND: Human Papilloma Virus (HPV) vaccination can prevent more than 90% of cancers caused by HPV. Although this vaccination is recommended and provided at no cost to all adolescent girls aged 9 to19 years in Uganda, its uptake remains low. We sought to determine the uptake of, and factors associated with HPV vaccination among adolescent girls living with HIV in Uganda.

METHODS: We conducted an explanatory sequential mixed methods study, among adolescent girls living with HIV, attending HIV care at the Mulago ISS HIV clinic in Kampala, Uganda. We administered a structured questionnaire to elicit data on HPV vaccination and its covariates to a systematic random sample of 264 adolescent girls with HIV. A participant who had received all the three recommended HPV vaccine doses was classified as fully vaccinated. We then conducted four focus group discussions among adolescent girls living with HIV (n = 32), eight in-depth interviews among their parents and five Key informant interviews among their healthcare providers. We conducted descriptive statistics and logistic regression analyses for the quantitative data before thematic analysis for the qualitative data.

RESULT: Of 264 adolescent girls, 31% (83/264) had at least one HPV vaccine dose; 22% (59/264) two doses, while 8.0% (21/264) were fully vaccinated (received three doses). While most participants received their first and second doses (48% (40/83)) and 57.6% (34/59), respectively) from school, the largest number of participants (47.1% (12/21)) received their third dose at community outreaches. Participants who received counseling from community members were three times more likely to get fully vaccinated compared to those who did not receive counseling (aOR 3.28, Cl:1.07-10.08, P = 0.038). From the qualitative follow-up, three major themes were identified: (1): Limited information about HPV vaccination, which gave room for misconceptions and doubts about the vaccine; (2) Parental influence on adolescent decisions was strong despite parents having limited knowledge about HPV vaccination and (3) Inadequacy of HPV vaccination services at the hospital and in the schools.

CONCLUSION: Full HPV vaccination was low among adolescent girls living with HIV. Counseling of the adolescents by community members, alongside HPV vaccination community outreaches, provided a platform for vaccination. There should be strategies to provide adequate information about HPV vaccine to health workers, parents, and the adolescents. In addition to schools, community-based initiatives, including outreaches and lay-health workers can be utilized to improve HPV vaccine uptake among girls with HIV.

PMID:39116172 | DOI:10.1371/journal.pone.0300155

PLoS One. 2024 Aug 8;19(8):e0308335. doi: 10.1371/journal.pone.0308335. eCollection 2024.

ABSTRACT

INTRODUCTION: Transversus abdominis plane (TAP) blocks are commonly performed for postoperative analgesia in elective cesarean section. Ropivacaine is the most commonly used local anesthetic for TAP blocks. Currently, the concentration of ropivacaine for TAP blocks is various, and increasing number of randomized controlled trials (RCTs) have compared the effects of different concentration of ropivacaine for TAP blocks in cesarean section. This protocol of a systematic review and meta-analysis aims to identify the optimal concentration of ropivacaine for TAP blocks in elective cesarean section.

METHODS AND ANALYSIS: Databases including PubMed, Web of science, the Cochrane library, and EMBASE will be searched from their inception to May 1, 2024. RCTs that investigated the analgesia of different concentrations of ropivacaine for TAP blocks in elective cesarean section will be identified. The analgesia duration will be the primary outcome. Secondary outcomes will include the analgesics consumption over postoperative 24 hours, postoperative pain scores at rest and movement, and the incidence of adverse effects. RevMan 5.4 software will used for statistical analysis. The evidence quality of synthesized results will be evaluated by the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach.

ETHICS AND DISSEMINATION: Ethical approval is not applicable. The results of this study will be published on completion.

TRIAL REGISTRATION: PROSPERO registration number: CRD42024496907.

PMID:39116171 | DOI:10.1371/journal.pone.0308335

PLoS One. 2024 Aug 8;19(8):e0308634. doi: 10.1371/journal.pone.0308634. eCollection 2024.

ABSTRACT

BACKGROUND: Co-infections involving human immunodeficiency virus (HIV), hepatitis B virus (HBV), and syphilis pose significant public health problems during pregnancy. It can increase the risk of adverse outcomes for both the woman and the infant more than each infection alone does. However, the magnitude of these co-infections remains insufficiently documented. Hence, this study aimed to determine the seroprevalence of HIV, HBV, and syphilis co-infections and associated risk factors among pregnant women attending antenatal care in Amhara region referral hospitals in northern Ethiopia.

METHODS: A hospital-based cross-sectional study was conducted in Amhara regional state referral hospitals from January 1 to February 30, 2024, among 606 pregnant women. Pregnant women were selected using a systematic random sampling technique. An interviewer-administered questionnaire and chart review were used to collect data. Data were analyzed in SPSSV26.0. Descriptive statistics were used to determine the magnitude of co-infections, and binary logistic regression was used to determine associated factors. Variables with a P-value < 0.05 were used to declare statistical significance.

RESULT: Overall, 4.1% (95% CI: 2.7, 6.1) of pregnant women were co-infected. The prevalence of specific co-infections was 2% (95% CI: 1, 3.5) for HIV/HBV, 1.3% (95% CI: 0.6, 2.6) for HIV/syphilis, and 0.8% (95% CI: 0.3, 1.9) for HBV/syphilis. No cases of triple co-infection were observed. Women with a history of unsafe sex (AOR = 8.2, 95% CI: 1.5, 16.7) and incarceration (AOR = 9.3, 95% CI: 1.6, 20.8) were associated with HIV/syphilis co-infection. For HIV/HBV co-infection, contact with jaundice patients (AOR = 5.5, 95% CI: 1.3, 22.5) and women with a history of STIs (AOR = 4.6, 95% CI: 1.4, 14.9) was significantly associated. Women with STI history (AOR = 6.3, 95% CI: 1.2, 15.9) were also significantly associated with HBV/syphilis co-infection.

CONCLUSION: Despite the government’s elimination efforts, a relatively high prevalence of coinfections with the infections studied was found among pregnant women. Therefore, HIV, HBV, and syphilis testing and treatment packages should be strengthened by targeting pregnant women with a history of STIs, contact with patients with jaundice, a history of incarceration, and unsafe sex.

PMID:39116169 | DOI:10.1371/journal.pone.0308634

Diabetes Technol Ther. 2024 Aug 8. doi: 10.1089/dia.2024.0226. Online ahead of print.

ABSTRACT

OBJECTIVE: This study aims to investigate the continuum of glucose control from normoglycemia to dysglycemia (HbA1c ≥ 5.7% / 39 mmol/mol) using metrics derived from Continuous Glucose Monitoring (CGM). Additionally, we aim to develop a machine learning-based classification model to classify dysglycemia based on observed patterns.

METHODS: Data from five distinct studies, each featuring at least two days of CGM, were pooled. Participants included individuals classified as healthy, with prediabetes, or with type 2 diabetes mellitus (T2DM). Various CGM indices were extracted and compared across groups. The dataset was split 70/30 for training and testing two classification models (XGBoost / Logistic Regression) to differentiate between prediabetes or dysglycemia and the healthy group.

RESULTS: The analysis included 836 participants (healthy: n=282; prediabetes: n=133; T2DM: n=432). Across all CGM indices, a progressive shift was observed from the healthy group to those with diabetes (p<0.001). Statistically significant differences (p<0.01) were noted in mean glucose, Time Below Range, Time Above 140 mg/dl, Mmobility, Multiscale Complexity Index and Glycemic Risk Index when transitioning from health to prediabetes. The XGBoost models achieved the highest Receiver Operating Characteristic Area Under the Curve (ROC-AUC) values on the test dataset ranging from 0.91 [CI: 0.87-0.95] (prediabetes identification) to 0.97 [CI: 0.95-0.98] (Dysglycemia identification).

CONCLUSION: Our findings demonstrate a gradual deterioration of glucose homeostasis and increased glycemic variability across the spectrum from normo- to dysglycemia, as evidenced by CGM metrics. The performance of CGM-based indices in classifying healthy individuals and those with prediabetes and diabetes is promising.

PMID:39115921 | DOI:10.1089/dia.2024.0226

JMIR Form Res. 2024 Aug 8;8:e46800. doi: 10.2196/46800.

ABSTRACT

BACKGROUND: ChatGPT (OpenAI), a state-of-the-art large language model, has exhibited remarkable performance in various specialized applications. Despite the growing popularity and efficacy of artificial intelligence, there is a scarcity of studies that assess ChatGPT’s competence in addressing multiple-choice questions (MCQs) using KIDMAP of Rasch analysis-a website tool used to evaluate ChatGPT’s performance in MCQ answering.

OBJECTIVE: This study aims to (1) showcase the utility of the website (Rasch analysis, specifically RaschOnline), and (2) determine the grade achieved by ChatGPT when compared to a normal sample.

METHODS: The capability of ChatGPT was evaluated using 10 items from the English tests conducted for Taiwan college entrance examinations in 2023. Under a Rasch model, 300 simulated students with normal distributions were simulated to compete with ChatGPT’s responses. RaschOnline was used to generate 5 visual presentations, including item difficulties, differential item functioning, item characteristic curve, Wright map, and KIDMAP, to address the research objectives.

RESULTS: The findings revealed the following: (1) the difficulty of the 10 items increased in a monotonous pattern from easier to harder, represented by logits (-2.43, -1.78, -1.48, -0.64, -0.1, 0.33, 0.59, 1.34, 1.7, and 2.47); (2) evidence of differential item functioning was observed between gender groups for item 5 (P=.04); (3) item 5 displayed a good fit to the Rasch model (P=.61); (4) all items demonstrated a satisfactory fit to the Rasch model, indicated by Infit mean square errors below the threshold of 1.5; (5) no significant difference was found in the measures obtained between gender groups (P=.83); (6) a significant difference was observed among ability grades (P<.001); and (7) ChatGPT’s capability was graded as A, surpassing grades B to E.

CONCLUSIONS: By using RaschOnline, this study provides evidence that ChatGPT possesses the ability to achieve a grade A when compared to a normal sample. It exhibits excellent proficiency in answering MCQs from the English tests conducted in 2023 for the Taiwan college entrance examinations.

PMID:39115919 | DOI:10.2196/46800

J Natl Cancer Inst. 2024 Aug 8:djae186. doi: 10.1093/jnci/djae186. Online ahead of print.

ABSTRACT

BACKGROUND: Ultraviolet radiation (UVR) exposure is the primary risk factor for melanoma although the relationship is complex. Compared to radiation from UVB wavelengths, UVA makes up a majority of the surface solar UVR, penetrates the skin more deeply, is the principal range emitted by tanning beds, and is less filtered by sunscreens and window glass. Few studies have examined the relationship between ambient UVA and UVB and melanoma risk.

METHODS: Incidence rate ratios (IRRs) and 95% confidence intervals (CIs) were estimated for the association between satellite-based ambient (based on residential history) UVA, UVB and melanoma in non-Hispanic White participants using data from the United States Radiologic Technologists study, a large, nationwide prospective cohort. Associations of UVA and UVB quartile (Q) were examined in mutually adjusted and stratified models, additionally adjusted for demographic and sun sensitivity characteristics.

RESULTS: There were 837 incident melanoma cases among 62,785 participants. Incidence of melanoma was statistically significantly increased for the highest quartile of childhood UVA exposure after adjustment for UVB (IRR = 2.82; 95%CI:1.46,5.44), but not for higher childhood UVB after adjustment for UVA. Childhood UVA was associated with increased melanoma risk within strata of UVB. Childhood UVB was not associated with melanoma after adjustment for UVA, but there was some evidence of lower risk with increased lifetime ambient UVB after UVA adjustment.

CONCLUSIONS: Melanoma risk was elevated among participants living in locations with high annual childhood and lifetime UVA after controlling for UVB. With confirmation, these findings support increased protection from solar UVA for melanoma prevention.

PMID:39115885 | DOI:10.1093/jnci/djae186