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Despite growing interest in estimating individualized treatment rules, little attention has been given the binary outcome setting. Estimation is challenging with nonlinear link functions, especially when variable selection is needed. We use a new computational approach to solve a recently proposed doubly robust regularized estimating equation to accomplish this difficult task in a case study of depression treatment. We demonstrate an application of this new approach in combination with a weighted and penalized estimating equation to this challenging binary outcome setting. We demonstrate the double robustness of the method and its effectiveness for variable selection. The work is motivated by and applied to an analysis of treatment for unipolar depression using a population of patients treated at Kaiser Permanente Washington. [ABSTRACT FROM AUTHOR]

BackgroundAlthough the prognosis of core-binding factor (CBF) acute myeloid leukemia (AML) is better than other subtypes of AML, 30% of patients still relapse and may require allogeneic hematopoietic cell transplantation (alloHCT). However, there is no validated widely accepted scoring system to predict patient subsets with higher risk of relapse.MethodsEleven centers in the US and Europe evaluated 247 patients with t(8;21)(q22;q22).ResultsComplete remission (CR) rate was high (92.7%), yet relapse occurred in 27.1% of patients. A total of 24.7% of patients received alloHCT. The median disease-free (DFS) and overall (OS) survival were 20.8 and 31.2 months, respectively. Age, KIT D816V mutated (11.3%) or nontested (36.4%) compared with KIT D816V wild type (52.5%), high white blood cell counts (WBC), and pseudodiploidy compared with hyper- or hypodiploidy were included in a scoring system (named I-CBFit). DFS rate at 2 years was 76% for patients with a low-risk I-CBFit score compared with 36% for those with a high-risk I-CBFit score (P

Regulatory agencies have issued warnings about serious breathing difficulties in some patients using gabapentinoids. This propensity score–matched cohort study examines the risk for pulmonary exacerbation among patients with underlying chronic obstructive pulmonary disease who use gabapentinoids. Visual Abstract. Gabapentinoids and Risk for Severe Exacerbation in Chronic Obstructive Pulmonary Disease: Regulatory agencies have issued warnings about serious breathing difficulties in some patients using gabapentinoids. This propensity score–matched cohort study examines the risk for pulmonary exacerbation among patients with underlying chronic obstructive pulmonary disease who use gabapentinoids. Background: North American and European health agencies recently warned of severe breathing problems associated with gabapentinoids, including in patients with chronic obstructive pulmonary disease (COPD), although supporting evidence is limited. Objective: To assess whether gabapentinoid use is associated with severe exacerbation in patients with COPD. Design: Time-conditional propensity score–matched, new-user cohort study. Setting: Health insurance databases from the Régie de l'assurance maladie du Québec in Canada. Patients: Within a base cohort of patients with COPD between 1994 and 2015, patients initiating gabapentinoid therapy with an indication (epilepsy, neuropathic pain, or other chronic pain) were matched 1:1 with nonusers on COPD duration, indication for gabapentinoids, age, sex, calendar year, and time-conditional propensity score. Measurements: The primary outcome was severe COPD exacerbation requiring hospitalization. Hazard ratios (HRs) associated with gabapentinoid use were estimated in subcohorts according to gabapentinoid indication and in the overall cohort. Results: The cohort included 356 gabapentinoid users with epilepsy, 9411 with neuropathic pain, and 3737 with other chronic pain, matched 1:1 to nonusers. Compared with nonuse, gabapentinoid use was associated with increased risk for severe COPD exacerbation across the indications of epilepsy (HR, 1.58 [95% CI, 1.08 to 2.30]), neuropathic pain (HR, 1.35 [CI, 1.24 to 1.48]), and other chronic pain (HR, 1.49 [CI, 1.27 to 1.73]) and overall (HR, 1.39 [CI, 1.29 to 1.50]). Limitation: Residual confounding, including from lack of smoking information. Conclusion: In patients with COPD, gabapentinoid use was associated with increased risk for severe exacerbation. This study supports the warnings from regulatory agencies and highlights the importance of considering this potential risk when prescribing gabapentin and pregabalin to patients with COPD. Primary Funding Source: Canadian Institutes of Health Research and Canadian Lung Association. [ABSTRACT FROM AUTHOR]

Selective serotonin reuptake inhibitors (SSRIs) are the first-line treatment for patients with unipolar depression, yet there is little guidance on which SSRI provides the most benefit to a patient, based on personal characteristics. In this work, we explore whether an individualized treatment strategy can be used by health-care providers to adapt their prescription pattern to reduce the risk of a severe depression-related outcome (SDO) when choosing between citalopram and fluoxetine, 2 commonly prescribed SSRIs. Our population-based cohort study used data from the Clinical Practice Research Datalink, the Hospital Episode Statistics repository, and the Office for National Statistics database in the United Kingdom to create a cohort of individuals diagnosed with depression who were prescribed citalopram or fluoxetine between April 1998 and December 2017. Patients were followed from treatment initiation until occurrence of the SDO outcome, treatment discontinuation, or end of study. To find an optimal treatment strategy, we used dynamic weighted survival modeling, considering patient features such as age, sex, body mass index, previous psychiatric diagnoses, and medications. Our findings suggest that using patient characteristics to tailor the antidepressant drug therapy is associated with an increase of 4 days in the median time to SDO (95% confidence interval: 2, 10 days). [ABSTRACT FROM AUTHOR]

We address estimation of the marginal effect of a time‐varying binary treatment on a continuous longitudinal outcome in the context of observational studies using electronic health records, when the relationship of interest is confounded, mediated, and further distorted by an informative visit process. We allow the longitudinal outcome to be recorded only sporadically and assume that its monitoring timing is informed by patients' characteristics. We propose two novel estimators based on linear models for the mean outcome that incorporate an adjustment for confounding and informative monitoring process through generalized inverse probability of treatment weights and a proportional intensity model, respectively. We allow for a flexible modeling of the intercept function as a function of time. Our estimators have closed‐form solutions, and their asymptotic distributions can be derived. Extensive simulation studies show that both estimators outperform standard methods such as the ordinary least squares estimator or estimators that only account for informative monitoring or confounders. We illustrate our methods using data from the Add Health study, assessing the effect of depressive mood on weight in adolescents. [ABSTRACT FROM AUTHOR]

The use of oral and inhaled corticosteroids is associated with increases in the risk of infection, especially pneumonia. The risk of sepsis with corticosteroid treatment in patients with chronic obstructive pulmonary disease (COPD) has been little studied, however. We assessed whether the use of inhaled and oral corticosteroids in COPD is associated with an increase in the risk of sepsis. We carried out a retrospective cohort study using the administrative health databases of the province of Quebec, Canada, over the period 1990–2007. The cohort of patients with COPD included patients aged 55 years or older who used respiratory medications. A quasi-cohort analysis was used to estimate the rate ratio (RR) of sepsis in current users of inhaled corticosteroids and oral corticosteroids separately, after adjusting for differences in COPD disease severity and co-morbid conditions. The cohort included 163,514 patients treated for COPD, including 1,704 who were hospitalized for or died with sepsis during follow-up (incidence rate 1.94 per 1000 per year). The RR of sepsis associated with current use of inhaled corticosteroids was 0.98 (95%confidence interval [CI] 0.84–1.14). Current oral corticosteroid use was associated with a 66% increase in the risk of sepsis (RR 1.66; 95% CI: 1.35–2.05). The increase in risk remains for around 5 months after the oral corticosteroid exposure. Among patients treated for COPD, the risk of sepsis is not increased with inhaled corticosteroids, even at high doses, while the risk is increased with oral corticosteroids. This risk should be considered when treating exacerbations of COPD. [ABSTRACT FROM PUBLISHER]

Electronic health records and other sources of observational data are increasingly used for drawing causal inferences. The estimation of a causal effect using these data not meant for research purposes is subject to confounding and irregularly-spaced covariate-driven observation times affecting the inference. A doubly-weighted estimator accounting for these features has previously been proposed that relies on the correct specification of two nuisance models used for the weights. In this work, we propose a novel consistent multiply robust estimator and demonstrate analytically and in comprehensive simulation studies that it is more flexible and more efficient than the only alternative estimator proposed for the same setting. It is further applied to data from the Add Health study in the United States to estimate the causal effect of therapy counseling on alcohol consumption in American adolescents., (© The Author(s) 2024. Published by Oxford University Press on behalf of The International Biometric Society.)