Category: Statistics

PLOS Glob Public Health. 2024 May 2;4(5):e0003156. doi: 10.1371/journal.pgph.0003156. eCollection 2024.

ABSTRACT

Poor TB treatment outcomes are observed in patients with type 2 diabetes mellitus (DM) comorbidity and glycemic control throughout treatment may play a role. The objective of this study was to investigate glycemic control longitudinally among Filipino adults undergoing TB treatment using mixed-effects linear and logistic regression. Analyses were conducted in 188 DM-TB patients out of 901 enrolled in the Starting Anti-TB Treatment (St-ATT) cohort, with a median baseline glycosylated hemoglobin (HbA1c) of 8.2% (range 4.5-13.3%). Previous versus new DM diagnosis was associated with higher mean HbA1c (worse glycemic control) during treatment, with a smaller effect amongst those with central obesity (coefficient 0.80, 95% confidence interval [CI] 0.26, 1.57, P = 0.043) than amongst those without central obesity (coefficient 3.48, 95% CI 2.16, 4.80, P<0.001). In those with a new DM diagnosis, central obesity was associated with higher blood glucose (coefficient 1.62, 95% CI 0.72, 2.53, P = 0.009). Of 177 participants with ≥2 HbA1c results, 40% had uncontrolled glycemia (≥2 HbA1c results ≥8%). Of 165 participants with ≥3 HbA1c results, 29.9% had consistently-controlled glycemia, 15.3% had initially-uncontrolled glycemia, and 18.6% had consistently-uncontrolled glycemia. Previous versus new DM diagnosis and glucose-lowering medication use versus no use were associated with having uncontrolled versus controlled glycemia (adjusted odds ratio [aOR] 2.50 95%CI 1.61, 6.05, P = 0.042; aOR 4.78 95% CI 1.61,14.23, P<0.001) and more likely to have consistently-uncontrolled versus consistently-controlled glycemia (adjusted relative risk ratio [aRRR] 5.14 95% CI 1.37, 19.20, P = 0.015; aRRR 10.24 95% CI 0.07, 0.95, P = 0.003). Relapse cases of TB were less likely than new cases to have uncontrolled (aOR 0.20 95%CI 0.06, 0.63, P = 0.031) or consistently-uncontrolled (aRRR 0.25 95%CI 0.07, 0.95, P = 0.042) versus controlled glycemia. Those with long-term DM, suggested by previous diagnosis, glucose-lowering medication use and possibly central obesity, may require additional support to manage blood glucose during TB treatment.

PMID:38696522 | DOI:10.1371/journal.pgph.0003156

J Med Internet Res. 2024 May 2;26:e49910. doi: 10.2196/49910.

ABSTRACT

BACKGROUND: To overcome knowledge gaps and optimize long-term follow-up (LTFU) care for childhood cancer survivors, the concept of the Survivorship Passport (SurPass) has been invented. Within the European PanCareSurPass project, the semiautomated and interoperable SurPass (version 2.0) will be optimized, implemented, and evaluated at 6 LTFU care centers representing 6 European countries and 3 distinct health system scenarios: (1) national electronic health information systems (EHISs) in Austria and Lithuania, (2) regional or local EHISs in Italy and Spain, and (3) cancer registries or hospital-based EHISs in Belgium and Germany.

OBJECTIVE: We aimed to identify and describe barriers and facilitators for SurPass (version 2.0) implementation concerning semiautomation of data input, interoperability, data protection, privacy, and cybersecurity.

METHODS: IT specialists from the 6 LTFU care centers participated in a semistructured digital survey focusing on IT-related barriers and facilitators to SurPass (version 2.0) implementation. We used the fit-viability model to assess the compatibility and feasibility of integrating SurPass into existing EHISs.

RESULTS: In total, 13/20 (65%) invited IT specialists participated. The main barriers and facilitators in all 3 health system scenarios related to semiautomated data input and interoperability included unaligned EHIS infrastructure and the use of interoperability frameworks and international coding systems. The main barriers and facilitators related to data protection or privacy and cybersecurity included pseudonymization of personal health data and data retention. According to the fit-viability model, the first health system scenario provides the best fit for SurPass implementation, followed by the second and third scenarios.

CONCLUSIONS: This study provides essential insights into the information and IT-related influencing factors that need to be considered when implementing the SurPass (version 2.0) in clinical practice. We recommend the adoption of Health Level Seven Fast Healthcare Interoperability Resources and data security measures such as encryption, pseudonymization, and multifactor authentication to protect personal health data where applicable. In sum, this study offers practical insights into integrating digital health solutions into existing EHISs.

PMID:38696248 | DOI:10.2196/49910

JMIR Mhealth Uhealth. 2024 May 2;12:e54622. doi: 10.2196/54622.

ABSTRACT

BACKGROUND: Postpartum depression (PPD) poses a significant maternal health challenge. The current approach to detecting PPD relies on in-person postpartum visits, which contributes to underdiagnosis. Furthermore, recognizing PPD symptoms can be challenging. Therefore, we explored the potential of using digital biomarkers from consumer wearables for PPD recognition.

OBJECTIVE: The main goal of this study was to showcase the viability of using machine learning (ML) and digital biomarkers related to heart rate, physical activity, and energy expenditure derived from consumer-grade wearables for the recognition of PPD.

METHODS: Using the All of Us Research Program Registered Tier v6 data set, we performed computational phenotyping of women with and without PPD following childbirth. Intraindividual ML models were developed using digital biomarkers from Fitbit to discern between prepregnancy, pregnancy, postpartum without depression, and postpartum with depression (ie, PPD diagnosis) periods. Models were built using generalized linear models, random forest, support vector machine, and k-nearest neighbor algorithms and evaluated using the κ statistic and multiclass area under the receiver operating characteristic curve (mAUC) to determine the algorithm with the best performance. The specificity of our individualized ML approach was confirmed in a cohort of women who gave birth and did not experience PPD. Moreover, we assessed the impact of a previous history of depression on model performance. We determined the variable importance for predicting the PPD period using Shapley additive explanations and confirmed the results using a permutation approach. Finally, we compared our individualized ML methodology against a traditional cohort-based ML model for PPD recognition and compared model performance using sensitivity, specificity, precision, recall, and F₁-score.

RESULTS: Patient cohorts of women with valid Fitbit data who gave birth included <20 with PPD and 39 without PPD. Our results demonstrated that intraindividual models using digital biomarkers discerned among prepregnancy, pregnancy, postpartum without depression, and postpartum with depression (ie, PPD diagnosis) periods, with random forest (mAUC=0.85; κ=0.80) models outperforming generalized linear models (mAUC=0.82; κ=0.74), support vector machine (mAUC=0.75; κ=0.72), and k-nearest neighbor (mAUC=0.74; κ=0.62). Model performance decreased in women without PPD, illustrating the method’s specificity. Previous depression history did not impact the efficacy of the model for PPD recognition. Moreover, we found that the most predictive biomarker of PPD was calories burned during the basal metabolic rate. Finally, individualized models surpassed the performance of a conventional cohort-based model for PPD detection.

CONCLUSIONS: This research establishes consumer wearables as a promising tool for PPD identification and highlights personalized ML approaches, which could transform early disease detection strategies.

PMID:38696234 | DOI:10.2196/54622

J Clin Psychiatry. 2024 Apr 24;85(2):23m14974. doi: 10.4088/JCP.23m14974.

ABSTRACT

Objective: Although individuals with a family history of alcohol use disorder (AUD) have a superior antidepressant response to ketamine, outcomes in patients with current AUD remain unclear. This study sought to investigate whether intranasal (IN) racemic (R,S)-ketamine had antisuicidal and antidepressant effects in unipolar and bipolar depression and whether comorbid AUD conferred superior antisuicidal outcomes for patients.

Methods: This was a double-blind, randomized, placebo-controlled trial (May 2018 to January 2022) of single administration, fixed-dose (50 mg) IN (R,S)-ketamine (or saline comparator) in unmedicated inpatients meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, criteria for a current major depressive episode (bipolar or unipolar), with current suicidal ideation (SI) and past attempt. Patients with and without comorbid AUD were enrolled. Change in Scale for Suicide Ideation score was the primary outcome measure, and change in Montgomery-Åsberg Depression Rating Scale score was the secondary outcome measure.

Results: No significant group × time effect was noted for SI (F = 1.1, P = .36). A statistical trend toward superior improvement in suicidality was observed in participants with comorbid AUD. The group × time interaction was significant for improvements in depression (F = 3.06, P = .03) and largely unaffected by comorbid AUD or primary mood disorder type. Within the ketamine group, a significant correlation was observed between improvement in depressive symptoms and SI for patients without comorbid AUD (r =0.927, P = .023) that was absent in patients with AUD (r = 0.39, P = .44).

Conclusion: IN ketamine induced rapid antidepressant effects compared to placebo but did not significantly alter SI scores. The treatment was well tolerated. Continued investigation with IN ketamine as a practical alternative to current formulations is warranted.

Trial Registration: ClinicalTrials.gov identifier: NCT03539887.

PMID:38696221 | DOI:10.4088/JCP.23m14974

J Clin Psychiatry. 2024 Apr 22;85(2):23m15078. doi: 10.4088/JCP.23m15078.

ABSTRACT

Objective: Major depressive disorder (MDD) is common, but current treatment options have significant limitations in terms of access and efficacy. This study examined the effectiveness of transcranial alternating current stimulation (tACS) for the acute treatment of MDD.

Methods: We performed a triple-blind, fully remote, randomized controlled trial comparing tACS with sham treatment. Adults aged 21-65 years meeting DSM 5 criteria for MDD and having a score on the Beck Depression Inventory, Second Edition (BDI-II), between 20 and 63 were eligible to participate. Participants utilized tACS or sham treatment for two 20-minute treatment sessions daily for 4 weeks. The primary outcome was change in BDI-II score from baseline to the week 2 time point in an intent-to treat analysis, followed by analyses of treatment-adherent participants. Secondary analyses examined change at the week 1 and 4 time points, responder rates, subgroup analyses, other self-report mood measures, and safety. The study was conducted from April to October 2022.

Results: A total of 255 participants were randomized to active or sham treatment. Improvement in intent-to-treat analysis was not statistically significant at week 2 (P= .056), but there were significant effects in participants with high adherence (P= .005). Significantly greater improvement at week 1 (P= .020) and greater response at week 4 (P= .028) occurred following tACS. Improvements were significantly larger for female participants. There were no significant effects on secondary mood measures. Side effects were minimal and mild.

Conclusions: Rapid, clinically significant improvement in depression in adults with MDD was associated with tACS, particularly for women. Compared to other depression therapies, tACS has 3 key advantages: rapid, clinically significant treatment effect, the ability of patients to use the treatment on their own at home, and the rarity and low impact of adverse events.

Trial Registration: ClinicalTrials.gov identifier: NCT05384041.

PMID:38696220 | DOI:10.4088/JCP.23m15078

Invest Ophthalmol Vis Sci. 2024 May 1;65(5):6. doi: 10.1167/iovs.65.5.6.

ABSTRACT

PURPOSE: Thyroid eye disease (TED) is characterized by proliferation of orbital tissues and complicated by compressive optic neuropathy (CON). This study aims to utilize a deep-learning (DL)-based automated segmentation model to segment orbital muscle and fat volumes on computed tomography (CT) images and provide quantitative volumetric data and a machine learning (ML)-based classifier to distinguish between TED and TED with CON.

METHODS: Subjects with TED who underwent clinical evaluation and orbital CT imaging were included. Patients with clinical features of CON were classified as having severe TED, and those without were classified as having mild TED. Normal subjects were used for controls. A U-Net DL-model was used for automatic segmentation of orbital muscle and fat volumes from orbital CTs, and ensemble of Random Forest Classifiers were used for volumetric analysis of muscle and fat.

RESULTS: Two hundred eighty-one subjects were included in this study. Automatic segmentation of orbital tissues was performed. Dice coefficient was recorded to be 0.902 and 0.921 for muscle and fat volumes, respectively. Muscle volumes among normal, mild, and severe TED were found to be statistically different. A classification model utilizing volume data and limited patient data had an accuracy of 0.838 and an area under the curve (AUC) of 0.929 in predicting normal, mild TED, and severe TED.

CONCLUSIONS: DL-based automated segmentation of orbital images for patients with TED was found to be accurate and efficient. An ML-based classification model using volumetrics and metadata led to high diagnostic accuracy in distinguishing TED and TED with CON. By enabling rapid and precise volumetric assessment, this may be a useful tool in future clinical studies.

PMID:38696188 | DOI:10.1167/iovs.65.5.6

JAMA Netw Open. 2024 May 1;7(5):e249435. doi: 10.1001/jamanetworkopen.2024.9435.

NO ABSTRACT

PMID:38696173 | DOI:10.1001/jamanetworkopen.2024.9435

JAMA Netw Open. 2024 May 1;7(5):e249305. doi: 10.1001/jamanetworkopen.2024.9305.

ABSTRACT

IMPORTANCE: Sodium-glucose cotransporter-2 (SGLT2) inhibitors have been shown to have benefits when used in patients with heart failure. The comparative outcomes of SGLT2 inhibitors relative to each other has not been well defined and may impact medication selection.

OBJECTIVE: To determine the comparative outcomes of empagliflozin and dapagliflozin on reducing the composite of all-cause mortality and hospitalizations in patients with heart failure.

DESIGN, SETTING, AND PARTICIPANTS: This multicenter retrospective cohort study included patients with heart failure from August 18, 2021, and December 6, 2022, in the TriNetX Research Collaborative, a centralized database of deidentified electronic medical record data from a network of 81 health care organizations. Eligible patients had a diagnosis of heart failure, had never received an SGLT2 inhibitor previously, and were newly started on empagliflozin or dapagliflozin. Patients were followed up for 1 year.

EXPOSURE: Initiation of dapagliflozin or empagliflozin.

MAIN OUTCOMES AND MEASURES: The primary outcome was the time to the composite of all-cause mortality or hospitalization between study days 1 to 365. Kaplan-Meier analyses, hazard ratios (HRs), and 95% CIs were used to assess the primary outcome.

RESULTS: Among 744 914 eligible patients, 28 075 began empagliflozin (15 976 [56.9%]) or dapagliflozin (12 099 [43.1%]). After nearest-neighbor matching for demographics, diagnoses, and medication use, there were 11 077 patients in each group. Of patients who received empagliflozin, 9247 (57.9%) were male, 3130 (19.6%) were Black individuals, and 9576 (59.9%) were White individuals. Similarly, of those who received dapagliflozin, 7439 (61.5%) were male, 2445 (20.2%) were Black individuals, and 7131 (58.9%) were White individuals. Patients receiving empagliflozin were less likely to experience the composite of all-cause mortality or hospitalization compared with those initiated on dapagliflozin (3545 [32.2%] vs 3828 [34.8%] events; HR, 0.90 [95% CI, 0.86-0.94]) in the year following SGLT2 inhibitor initiation and less likely to be hospitalized (HR, 0.90 [95% CI, 0.86-0.94]). All-cause mortality did not differ between exposure groups (HR, 0.91 [95% CI, 0.82-1.00]). There was no difference in mean hemoglobin A1c or adverse events between groups.

CONCLUSIONS AND RELEVANCE: In this cohort study, patients who initiated empagliflozin were less likely to experience the composite of all-cause mortality or hospitalization compared with patients who started dapagliflozin. Additional studies are needed to confirm these finding.

PMID:38696170 | DOI:10.1001/jamanetworkopen.2024.9305

JAMA Netw Open. 2024 May 1;7(5):e249312. doi: 10.1001/jamanetworkopen.2024.9312.

ABSTRACT

IMPORTANCE: Nursing home (NH) transfers to hospitals are common and have been associated with cognitive decline; approximately 45% of NH hospital transfers are potentially avoidable hospitalizations (PAHs).

OBJECTIVE: To determine PAH incidence for historically marginalized NH residents with severe cognitive impairment compared with non-Hispanic White residents.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study merged 2018 Centers for Medicaid & Medicare Services datasets and LTCFocus, a public dataset on US NH care, for US NH residents aged 65 years and older who had a hospitalization. Analyses were performed from January to May 2022.

EXPOSURE: Race and ethnicity of NH residents.

MAIN OUTCOMES AND MEASURES: Racial and ethnic differences in resident-level annual rates of PAHs were estimated for residents with and without severe cognitive impairment (measured using the Cognitive Function Scale), controlling for resident characteristics, comorbidities, dual eligibility, and time at risk. PAHs were defined as NH hospital transfers that resulted from neglectful NH care or for which NH treatment would have been appropriate.

RESULTS: Of 2 098 385 NH residents nationwide included in the study, 7151 (0.3%) were American Indian or Alaska Native, 39 873 (1.9%) were Asian, 229 112 (10.9%) were Black or African American, 99 304 (4.7%) were Hispanic, 2785 (0.1%) were Native Hawaiian or Pacific Islander, 1 713 670 (81.7%) were White, and 6490 (0.3%) were multiracial; 1 355 143 (64.6%) were female; 128 997 (6.2%) were severely cognitively impaired; and the mean (SD) age was 81.8 (8.7) years. PAH incidence rate ratios (IRRs) were significantly greater for residents with severe cognitive impairment compared with those without. In unadjusted analyses comparing historically marginalized residents with severe cognitive impairment vs non-Hispanic White residents with severe cognitive impairment, American Indian or Alaska Native residents had a 49% higher PAH incidence (IRR, 1.49 [95% CI, 1.10-2.01]), Black or African American residents had a 64% higher incidence (IRR, 1.64 [95% CI, 1.48-1.81]), and Hispanic residents had a 45% higher incidence (IRR, 1.45 [95% CI, 1.29-1.62]). Higher incidences persisted for historically marginalized residents with severe cognitive impairment vs non-Hispanic White residents with severe cognitive impairment in adjusted analyses. Asian residents had a 24% higher PAH incidence (IRR, 1.24 [95% CI, 1.06-1.45]), Black or African American residents had a 48% higher incidence (IRR, 1.48 [95% CI, 1.36-1.60]), and Hispanic residents had a 27% higher incidence (IRR, 1.27 [95% CI, 1.16-1.39]).

CONCLUSIONS AND RELEVANCE: In this cross-sectional study of PAHs, compared with non-Hispanic White NH residents, historically marginalized residents had increased PAH incidence. In the presence of severe cognitive impairment, incidence rates increased significantly compared with rates for residents without severe cognitive impairment. These results suggest that identification of residents with severe cognitive impairment and proper NH care may help prevent further cognitive decline by avoiding PAHs.

PMID:38696169 | DOI:10.1001/jamanetworkopen.2024.9312

JAMA Netw Open. 2024 May 1;7(5):e249429. doi: 10.1001/jamanetworkopen.2024.9429.

ABSTRACT

IMPORTANCE: Cancer is a leading cause of death among children worldwide. Treatments used for medically assisted reproduction (MAR) are suspected risk factors because of their potential for epigenetic disturbance and associated congenital malformations.

OBJECTIVE: To assess the risk of cancer, overall and by cancer type, among children born after MAR compared with children conceived naturally.

DESIGN, SETTING, AND PARTICIPANTS: For this cohort study, the French National Mother-Child Register (EPI-MERES) was searched for all live births that occurred in France between January 1, 2010, and December 31, 2021 (and followed up until June 30, 2022). The EPI-MERES was built from comprehensive data of the French National Health Data System. Data analysis was performed from December 1, 2021, to June 30, 2023.

EXPOSURE: Use of assisted reproduction technologies (ART), such as fresh embryo transfer (ET) or frozen ET (FET), and artificial insemination (AI).

MAIN OUTCOMES AND MEASURES: The risk of cancer was compared, overall and by cancer type, among children born after fresh ET, FET, or AI and children conceived naturally, using Cox proportional hazards regression models adjusted for maternal and child characteristics at birth.

RESULTS: This study included 8 526 306 children with a mean (SD) age of 6.4 (3.4) years; 51.2% were boys, 96.4% were singletons, 12.1% were small for gestational age at birth, and 3.1% had a congenital malformation. There were 260 236 children (3.1%) born after MAR, including 133 965 (1.6%) after fresh ET, 66 165 (0.8%) after FET, and 60 106 (0.7%) after AI. A total of 9256 case patients with cancer were identified over a median follow-up of 6.7 (IQR, 3.7-9.6) years; 165, 57, and 70 were born after fresh ET, FET, and AI, respectively. The overall risk of cancer did not differ between children conceived naturally and those born after fresh ET (hazard ratio [HR], 1.12 [95% CI, 0.96 to 1.31]), FET (HR, 1.02 [95% CI, 0.78 to 1.32]), or AI (HR, 1.09 [95% CI, 0.86 to 1.38]). However, the risk of acute lymphoblastic leukemia was higher among children born after FET (20 case patients; HR 1.61 [95% CI, 1.04 to 2.50]; risk difference [RD], 23.2 [95% CI, 1.5 to 57.0] per million person-years) compared with children conceived naturally. Moreover, among children born between 2010 and 2015, the risk of leukemia was higher among children born after fresh ET (45 case patients; HR, 1.42 [95% CI, 1.06 to 1.92]; adjusted RD, 19.7 [95% CI, 2.8 to 43.2] per million person-years).

CONCLUSIONS AND RELEVANCE: The findings of this cohort study suggest that children born after FET or fresh ET had an increased risk of leukemia compared with children conceived naturally. This risk, although resulting in a limited number of cases, needs to be monitored in view of the continuous increase in the use of ART.

PMID:38696167 | DOI:10.1001/jamanetworkopen.2024.9429