Propensity Score-based Methods Research Articles

The Impact of the Flight to Quality on Office Rents and Vacancy Rates in Tokyo

Abstract With the rapid spread of telecommuting since the COVID-19 pandemic, companies have been relocating to high-end business centers, thereby enhancing the workplace experience for employees, a phenomenon called the "flight to quality." However, this trend’s impact on rents and vacancy rates in individual office buildings has not been extensively studied. To determine the effects of the flight-to-quality phenomenon on individual buildings, we examine the impact of modern amenities, which directly influence employee lifestyles, on rents and vacancy rates in the Tokyo office market. Using a propensity score-based quasi-experimental method, we find that commercial properties with such modern amenities command higher rents and experience lower vacancy rates than those without. The difference in vacancy rates has increased since 2020. However, the significance of these amenities diminishes for properties less competitive in age, size, and location. The results indicate that the "flight to quality" may further polarize the office real estate market into two categories: one for high-end buildings experiencing increasing demand, and another for those with modest amenities experiencing decreasing demand. The findings have implications for office building owners/investors and the government, make educated decisions as to whether to invest in modern amenities, join the quality competition, or encourage urban restructuring.

Transarterial Chemoembolization Combined with Tyrosine Kinase Inhibitors Plus Immune Checkpoint Inhibitors Versus Tyrosine Kinase Inhibitors Plus Immune Checkpoint Inhibitors in Unresectable Hepatocellular Carcinoma with First- or Lower-Order Portal Vein Tumor Thrombosis.

To compare the efficacy of transarterial chemoembolization (TACE) combined with tyrosine kinase inhibitors (TKIs) plus immune checkpoint inhibitors (ICIs) (TACE-TKI-ICI) versus TKIs plus ICIs (TKI-ICI) for unresectable hepatocellular carcinoma (HCC) with first- or lower-order portal vein tumor thrombosis (PVTT). A retrospective study was performed in HCC patients with first- or lower-order PVTT receiving TKIs (Lenvatinib or sorafenib) plus ICIs (camrelizumab, sintilimab, or atezolizumab) with or without TACE from four institutions between January 2019 and January 2022. Propensity score-based method was performed to minimize bias by confounding factors. Tumor response, progression-free survival (PFS), overall survival (OS), and adverse events (AEs) were evaluated and compared between the two groups. After inverse probability of treatment weighting, two balanced pseudopopulations were created: 106 patients in the TACE-TKI-ICI group and 109 patients in the TKI-ICI group. The objective response rate was higher in the TACE-TKI-ICI group (50.9% vs. 28.4%, P < 0.001). The median PFS and OS were significantly longer in the TACE-TKI-ICI group than in the TKI-ICI group (PFS: 9.1 vs. 5.0months, P = 0.005; OS: 19.1 vs. 12.7months, P = 0.002). In Cox regression, TACE-TKI-ICI treatment was an independent predictor of favorable OS. Treatment-related grade 3/4 AEs were comparable between the two groups (22.6% vs. 17.9%, P = 0.437). TACE-TKI-ICI therapy contributed to better tumor control, PFS and OS than TKI-ICI therapy in unresectable HCC patients with first- or lower-order PVTT.

Empirical analysis of social impacts of a rural social enterprise: insights for local and regional development

ABSTRACT In developing countries the most marginalised and disadvantaged people are in rural, remote and regional areas and social enterprises in these areas – rural social enterprises (RSEs) – have been identified as key development actors in this context. However, their impacts are rarely rigorously measured. Our study fills this gap by measuring an RSE’s social impact in a developing country. A smallholder farmers’ survey (n = 1021) is utilised in a propensity score-based method which allowed us to generate counterfactual and estimate outcomes between members and non-members of an RSE. This method was complemented by a stakeholder focus group discussion. Predictors of participation and social impacts of the RSE are identified besides an evaluation of its interventions. Results generate implications for social enterprise practitioners, supporters and policymakers interested in applying RSEs as local and regional development actors as well as researchers involved in social impact measurement.

Contrast-specific propensity scores for causal inference with multiple interventions.

Existing methods that use propensity scores for heterogeneous treatment effect estimation on non-experimental data do not readily extend to the case of more than two treatment options. In this work, we develop a new propensity score-based method for heterogeneous treatment effect estimation when there are three or more treatment options, and prove that it generates unbiased estimates. We demonstrate our method on a real patient registry of patients in Singapore with diabetic dyslipidemia. On this dataset, our method generates heterogeneous treatment recommendations for patients among three options: Statins, fibrates, and non-pharmacological treatment to control patients' lipid ratios (total cholesterol divided by high-density lipoprotein level). In our numerical study, our proposed method generated more stable estimates compared to a benchmark method based on a multi-dimensional propensity score.

Evaluating the relationship between conditional cash transfer programme on preterm births: a retrospective longitudinal study using the 100 million Brazilian cohort

BackgroundPreterm births increase mortality and morbidity during childhood and later life, which is closely associated with poverty and the quality of prenatal care. Therefore, income redistribution and poverty reduction initiatives may be valuable in preventing this outcome. We assessed whether receipt of the Brazilian conditional cash transfer programme - Bolsa Familia Programme, the largest in the world - reduces the occurrence of preterm births, including their severity categories, and explored how this association differs according to prenatal care and the quality of Bolsa Familia Programme management.MethodsA retrospective cohort study was performed involving the first live singleton births to mothersenrolled in the 100 Million Brazilian Cohort from 2004 to 2015, who had at least one child before cohort enrollment. Only the first birth during the cohort period was included, but born from 2012 onward. A deterministic linkage with the Bolsa Familia Programme payroll dataset and a similarity linkage with the Brazilian Live Birth Information System were performed. The exposed group consisted of newborns to mothers who received Bolsa Familia from conception to delivery. Our outcomes were infants born with a gestational age < 37 weeks: (i) all preterm births, (ii) moderate-to-late (32–36), (iii) severe (28–31), and (iv) extreme (< 28) preterm births compared to at-term newborns. We combined propensity score-based methods and weighted logistic regressions to compare newborns to mothers who did and did not receive Bolsa Familia, controlling for socioeconomic conditions. We also estimated these effects separately, according to the adequacy of prenatal care and the index of quality of Bolsa Familia Programme management.Results1,031,053 infants were analyzed; 65.9% of the mothers were beneficiaries. Bolsa Familia Programme was not associated with all sets of preterm births, moderate-to-late, and severe preterm births, but was associated with a reduction in extreme preterm births (weighted OR: 0.69; 95%CI: 0.63–0.76). This reduction can also be observed among mothers receiving adequate prenatal care (weighted OR: 0.66; 95%CI: 0.59–0.74) and living in better Bolsa Familia management municipalities (weighted OR: 0.56; 95%CI: 0.43–0.74).ConclusionsAn income transfer programme for pregnant women of low-socioeconomic status, conditional to attending prenatal care appointments, has been associated with a reduction in extremely preterm births. These programmes could be essential in achieving Sustainable Development Goals.

The Impact of Serum Uric Acid Levels on Hypertensive Disorders of Pregnancy in Advanced Maternal Age Women: A Retrospective Study from a Single Center in China.

BACKGROUND In many countries, including China, women are delaying pregnancy until later in life; therefore, hypertensive disorders of pregnancy (HDP) are increasing. This retrospective study from a single center in China aimed to evaluate the association between serum uric acid (SUA) levels and HDP in 288 women of advanced maternal age >35 years. MATERIAL AND METHODS A total of 780 pregnant women of advanced maternal age were included in the study - 288 were had HDP (including gestational hypertension and preeclampsia) and 492 had normal blood pressure using 1: 2 (84: 168) propensity score matching. SUA (collected before 20 weeks' gestation) and HDP incidence in advanced maternal age women were assessed using multivariate logistic modeling and 3 propensity score-based methods. RESULTS Median patient age was 37 years. The risk of developing HDP increases with higher SUA (30.19% vs 13.65%, P<0.001). In the PS-matched cohort, the risk ratio (OR) for HDP with high uric acid after adjusting for confounders was 2.88 (95% CI: 1.44-5.75, P=0.0027). It has been demonstrated that high uric acid is strongly associated with HDP incidence in both the crude population (OR=3.43, 95% CI: 2.01-4.66, P<0.0001) and the weighted cohorts (OR=3.62, 95% CI: 2.81-4.66, P<0.0001). As a successive variable, after adjusting for the clinical confounders, a 1-SD increase in SUA was related to a 135% increased risk of HDP (OR=2.35; 95% CI: 1.57-3.50; P<0.0001) based on the fully adjusted model. There were similar conclusions in the sensitivity analysis. CONCLUSIONS There was a significant association between SUA and HDP in women of advanced maternal age, supporting the importance of early detection of SUA in pregnant women.

Association Between Cannabis Use and Opioid Consumption, Pain, and Respiratory Complications After Surgery: A Retrospective Cohort Analysis.

Cannabis is a widely used illicit drug with effects on different pain pathways. However, interactions between cannabis and postoperative pain are unclear. Cannabis smoking also affects the lungs, but the impact of cannabis use on postoperative pulmonary complications is unknown. We hypothesized that preoperative cannabis use in adults having elective surgery is associated with higher postoperative opioid consumption. Secondarily, we tested the hypothesis that cannabis use is associated with higher pain scores, hypoxemia (oxygen saturation [Spo2]/fraction of inspired oxygen [Fio2] ratio), and higher postoperative pulmonary complications compared to nonuse of cannabis. In this retrospective study, we included adult patients who had elective surgeries at Cleveland Clinic Main Campus between January 2010 and December 2020. The exposure was use of cannabis within 30 days before surgery, and the control group never used cannabis. Patients who had regional anesthesia or chronic pain diagnosis were excluded. The primary outcome was postoperative opioid consumption; 3 secondary outcomes were time-weighted average (TWA) postoperative pain score, TWA Spo2/Fio2 ratio, and composite of pulmonary complications after surgery. We assessed the association between cannabis use and opioid consumption during the first 24 postoperative hours using linear regression on log-transformed opioid consumption with a propensity score-based method (inverse probability of treatment weighting [IPTW]) adjusting for confounders. We further adjusted for imbalanced confounding variables after IPTW was applied. In total, 1683 of 34,521 patients were identified as cannabis users. Cannabis use was associated with increased opioid consumption, with an adjusted ratio of geometric means (95% confidence interval [CI]) of 1.30 (1.22-1.38; P < .0001) for cannabis users versus nonusers. Secondarily, (1) cannabis use was associated with increased TWA pain score, with a difference in means of 0.57 (95% CI, 0.46-0.67; P < .0001); (2) cannabis use was not associated with TWA Spo2/Fio2, with an adjusted difference in means of 0.5 (95% CI, -3.1 to 4.2; P = .76); and (3) cannabis use was not associated with a collapsed composite of pulmonary complications, with estimated odds ratio of 0.90 (95% CI, 0.71-1.13; P = .34). Adult cannabis users undergoing surgeries were found to have significantly higher postoperative opioid consumption and pain scores than nonusers. Cannabis use did not have a clinically meaningful association with hypoxia or composite pulmonary complications.

Directed Acyclic Graph Assisted Method For Estimating Average Treatment Effect

ABSTRACT Observational data, such as electronic clinical records and claims data, can prove invaluable for evaluating the Average Treatment Effect (ATE) and supporting decision-making, provided they are employed correctly. The Inverse Probability of Treatment Weighting (IPTW) method, based on propensity scores, has demonstrated remarkable efficacy in estimating ATE, assuming that the assumptions of exchangeability, consistency, and positivity are met. Directed Acyclic Graphs (DAGs) offer a practical approach to assess the exchangeability assumption, which asserts that treatment assignment and potential outcomes are independent given a set of confounding variables that block all backdoor paths from treatment assignment to potential outcomes. To ensure a consistent ATE estimator, one can adjust for a minimally sufficient adjustment set of confounding variables that block all backdoor paths from treatment assignment to the outcome. To enhance the efficiency of ATE estimators, our proposal involves incorporating both the minimally sufficient adjustment set of confounding variables and predictors into the propensity score model. Extensive simulations were conducted to evaluate the performance of propensity score-based IPTW methods in estimating ATE when different sets of covariates were included in the propensity score models. The simulation results underscored the significance of including the minimally sufficient adjustment set of confounding variables along with predictors in the propensity score models to obtain a consistent and efficient ATE estimator. We applied this proposed method to investigate whether tracheostomy was causally associated with in-hospital infant mortality, utilizing the 2016 Healthcare Cost and Utilization Project Kids’ Inpatient Database. The estimated ATE was found to be approximately 2.30%–2.46% with p-value >0.05.

Redefining Populations of Inference for Generalizations from Small Studies

Over the past decade, propensity score-based methods have made an important contribution to the improvement of generalizations from educational studies. However, an important limitation is that many studies are based on small sample sizes in which the study comprises 3-5% of the inference population. In response, one suggestion that has been made in practice is to redefine the inference population and identify a smaller subpopulation to which the results are potentially more generalizable. While redefinition is potentially useful in improving bias reduction and precision, the method also entails tradeoffs associated with estimation. Additionally, the resulting redefined population may still be difficult to describe, which can have implications for communication with policymakers. The current study explores the implications of redefinition and proposes a framework to identify and describe redefined subpopulations. For the latter, we combine an approach from observational studies with existing methods for redefinition and assess the advantages and tradeoffs of the proposed framework. We illustrate and assess the tradeoffs of redefinition and of the proposed framework with a simulation study and an empirical example in education.

Exploring the impact of collaboration on eco-innovation in SMEs: a contribution to the business modes of innovation framework

PurposeThe purpose of the study is to investigate how small- and medium-sized enterprises (SMEs) can effectively collaborate for eco-innovation using the business modes of innovation framework to emphasise three types of collaboration: “science, technology, and innovation” (STI), “learning by doing, using, and interacting” (DUI)-Vertical and DUI-Horizontal.Design/methodology/approachThis analysis uses data from 838 SMEs in the Basque Country (2018–2020) to evaluate the effects of the three types of collaboration on eco-innovation. The authors employ a propensity score-based method to address potential bias associated with endogeneity in innovation studies.FindingsThe findings suggest that DUI-Vertical collaboration has a positive relationship with the development of product, process and marketing eco-innovation. Furthermore, DUI-horizontal collaboration is the most effective collaboration mode for SMEs, positively impacting their overall eco-innovation portfolio. Finally, STI collaboration is positively associated with product eco-innovation.Practical implicationsPolicymakers should support SMEs by designing programmes that facilitate collaboration between competing firms to stimulate eco-innovation, but potential challenges of coopetition must be addressed. Rather than a generic, one-size-fit-all approach, SMEs' managers should identify the most appropriate partners corresponding to their specific eco-innovation goal, ensuring a more effective and targeted. Collaboration between science partners and SMEs should be reinforced by approximating the SMEs' needs more effectively.Originality/valueThis study contributes twofold. Firstly, the authors investigate whether the STI and DUI modes of innovation are determinant factors in the introduction of various types of eco-innovation. Secondly, the authors contribute to the literature on business modes of innovation by differentiating between DUI-Vertical (i.e. suppliers, customers and consultancy) and DUI-Horizontal (i.e. competitors) collaboration, thus highlighting the complexity of DUI collaboration forms.

Non-interventional Management of Asymptomatic Diminutive Choledocholithiasis Versus Endoscopic Extraction in Consecutive Patients.

Current guidelines recommend treating choledocholithiasis, regardless of symptoms or stone size, with endoscopic retrograde cholangiopancreatography (ERCP). However, asymptomatic choledocholithiasis, discovered incidentally on imaging, may carry a higher risk of ERCP-related adverse events, and some asymptomatic and diminutive stones may not cause biliary adverse events during extended follow-up. Therefore, we aimed to clarify the best treatment strategies for asymptomatic choledocholithiasis based on stone size. We retrospectively identified patients with incidental imaging-found asymptomatic diminutive (≤ 4mm) or non-diminutive (> 4mm) choledocholithiasis and divided them into two groups: those who did not undergo ERCP and were treated when complications arose (on-demand group) and those who underwent ERCP before being symptomatic (intervention group). Adverse events were defined as any biliary or pancreatic complication related to ERCP or arising during observation or after intervention. The primary outcome was the adjusted overall adverse event-free survival using the propensity score-based matching weights method comparing the two groups of stone size. Among 148 patients identified (median follow-up period, 969days), 68 had diminutive stones and 80 had non-diminutive stones. Of the 68 patients with diminutive stones, 51 were in the on-demand group and 17 in the intervention group. The overall adjusted adverse event-free survival was significantly higher in the on-demand group for diminutive stones (97.4% and 70.1%, respectively, at 3years; p = 0.01). Patients with incidental imaging-detected asymptomatic diminutive choledocholithiasis may benefit from clinical observation, pursuing ERCP when symptoms develop.

An inverse probability weighted regression method that accounts for right-censoring for causal inference with multiple treatments and a binary outcome.

Comparative effectiveness research often involves evaluating the differences in the risks of an event of interest between two or more treatments using observational data. Often, the post-treatment outcome of interest is whether the event happens within a pre-specified time window, which leads to a binary outcome. One source of bias for estimating the causal treatment effect is the presence of confounders, which are usually controlled using propensity score-based methods. An additional source of bias is right-censoring, which occurs when the information on the outcome of interest is not completely available due to dropout, study termination, or treatment switch before the event of interest. We propose an inverse probability weighted regression-based estimator that can simultaneously handle both confounding and right-censoring, calling the method CIPWR, with the letter C highlighting the censoring component. CIPWR estimates the average treatment effects by averaging the predicted outcomes obtained from a logistic regression model that is fitted using a weighted score function. The CIPWR estimator has a double robustness property such that estimation consistency can be achieved when either the model for the outcome or the models for both treatment and censoring are correctly specified. We establish the asymptotic properties of the CIPWR estimator for conducting inference, and compare its finite sample performance with that of several alternatives through simulation studies. The methods under comparison are applied to a cohort of prostate cancer patients from an insurance claims database for comparing the adverse effects of four candidate drugs for advanced stage prostate cancer.

The impact of immigration detention on the mental health of refugees and asylum seekers.

Studies consistently report that asylum seekers held in immigration detention have relatively high rates of mental distress, yet evidence of the long-term impact of immigration detention is limited. Using propensity score-based methods, we estimated the impact of immigration detention on the prevalence of nonspecific psychological distress, using the Kessler-6, and probable posttraumatic stress disorder (PTSD), using the PTSD-8, among participants in a national sample of asylum seekers in the 5 years following their resettlement in Australia (N = 334). At Wave 1, the prevalence of nonspecific psychological distress was high among all participants regardless of detainment status, OR = 0.28, 95% CI [0.04, 2.06], and did not change over time for either detainees (n = 222), OR = 1.01, 95% CI [0.46, 2.18], or nondetainees (n = 103), OR = 0.81, 95% CI [0.39, 1.67]. In contrast, the odds of probable PTSD were significantly higher for former detainees, OR = 8.20; 95% CI [2.61, 26.73], than nondetainees at Wave 1; although they declined among former detainees, OR = 0.56, 95% CI [0.38, 0.82]), and increased among nondetainees, OR = 1.57, 95% CI [1.11, 2.23], in the years following resettlement. These results imply the use of immigration detention to manage unauthorized migration increases the prevalence of probable PTSD in the short term among former detainees who have resettled in Australia.

MatchRanges: generating null hypothesis genomic ranges via covariate-matched sampling.

Deriving biological insights from genomic data commonly requires comparing attributes of selected genomic loci to a null set of loci. The selection of this null set is non-trivial, as it requires careful consideration of potential covariates, a problem that is exacerbated by the non-uniform distribution of genomic features including genes, enhancers, and transcription factor binding sites. Propensity score-based covariate matching methods allow the selection of null sets from a pool of possible items while controlling for multiple covariates; however, existing packages do not operate on genomic data classes and can be slow for large data sets making them difficult to integrate into genomic workflows. To address this, we developed matchRanges, a propensity score-based covariate matching method for the efficient and convenient generation of matched null ranges from a set of background ranges within the Bioconductor framework. Package: https://bioconductor.org/packages/nullranges, Code: https://github.com/nullranges, Documentation: https://nullranges.github.io/nullranges.

Surgeon-Specific Treatment Selection Bias and Heterogeneous Perioperative Practices in an Observational Spine Surgery Study. A Statistical Tutorial with Implications for Analysis of Observational Studies of Perioperative Interventions

It is essential that treatment effects reported from retrospective observational studies are as reliable as possible. In a retrospective analysis of spine surgery patients, we obtained a spurious result: tranexamic acid (TXA) had no effect on intraoperative blood loss. This statistical tutorial explains how this result occurred and why statistical analyses of observational studies must consider the effects of individual surgeons. We used an observational database of 580 elective adult spine surgery patients, supplemented with a review of perioperative medication records. We tested whether common statistical methods (multivariable regression or propensity score-based methods) could adjust for surgeons' selection bias in TXA administration. Because TXA administration (frequency, timing, and dose) and surgeon were linked (collinear), estimating and testing the independent effect of TXA on outcome using multivariable regression without including surgeon as a variable would provide biased (spurious) results. Likewise, because of surgeon/TXA linkage, assumptions of propensity score-based analysis were violated, statistical methods to improve comparability between groups failed, and spurious blood loss results were worsened. Others numerous differences among surgeons existed in intraoperative and postoperative practices and outcomes. In observational studies in which individual surgeons determine whether their patients receive the treatment of interest, consideration must be given to inclusion of surgeon as an independent variable in all analyses. Failure to include the surgeon in an analysis of observational data carries a substantial risk of obtaining spurious results, either creating a spurious treatment effect or failing to detect a true treatment effect.

Final analysis of a prospective controlled trial of the efficacy of uracil and tegafur/leucovorin for stage II colon cancer with risk factors for recurrence using propensity score-based methods (JFMC46-1201).

117 Background: The usefulness of adjuvant chemotherapy for stage II colon cancer with high-risk factors for recurrence has not been established. Methods: This was a prospective, non-randomized controlled study based on patients’ selection of treatment options, including randomized therapeutic decision-making. High-risk factors were defined as having at least one of the following factors: T4, perforation/penetration, poorly differentiated adenocarcinoma/mucinous carcinoma, and &lt; 12 dissected lymph nodes. UFT (300 mg/m2/day) plus LV (75 mg/day) were orally administered for 6 months after surgery. The primary endpoint was disease-free survival (DFS) after adjusting for risk factors using propensity sore matching (1:2) and inverse probability of treatment weighting (IPTW) in the non-randomized arm. The secondary endpoints were overall survival (OS) and safety. Results: 1902 (98%) and 36 (2%) patients were enrolled in the non-randomized and randomized arms, respectively between May 2012 and April 2016. There were too few patients in the randomized arm and these were therefore excluded from the analysis. Eligible patients were divided into two groups: A, patients who selected surgery alone (n = 641); B, patients who selected UFT/LV treatment (n = 1239). Of the eligible patients, 402 in group A and 804 in group B were propensity score-matched. The 5-year DFS rate (95% confidence interval) was significantly higher in group B (76.3% [73.1-79.1]) than in group A (68.8% [63.9-73.2]) {hazard ratio [HR] 0.66 [0.51–0.84, P = 0.0008]}. The 5-year OS rates were not significantly different between group B and group A [HR 0.74 (95% CI 0.50–1.10, P = 0.1391)]. Using IPTW, significantly higher 5-year DFS [HR 0.71 (95% CI 0.59–0.86, P = 0.0006)] and overall survival [HR 0.66 (95% CI 0.49–0.90, P = 0.0122)] rates were observed in group B compared with group A. Multivariate analysis revealed that male sex, over 70 years old, T4, &lt; 12 dissected lymph nodes, and no adjuvant chemotherapy were significant risk factors for recurrence. Conclusions: Adjuvant chemotherapy with UFT/LV significantly improves DFS. Oral UFT/LV as adjuvant chemotherapy shows efficacy with an acceptable safety profile for stage II colon cancer with risk factors. Clinical trial information: UMIN000007783 .

RF23 | PSAT240 Suboptimal Thyroid Hormone Replacement is Associated with Worse Hospital Outcomes

Abstract Introduction Many patients in the US with hypothyroidism receive suboptimal treatment with thyroid hormone. Sustained off-target TSH levels have been shown to cause serious harm to patients, including increased risk of cardiovascular disease and excess mortality over time. Suboptimal treatment may also impact hospital outcomes. The primary objective of the study was to identify differences in hospital outcomes between patients with and without hypothyroidism. Methods This is a retrospective cohort study that utilized the propensity score-based fine stratification method to balance covariates. Patient data was extracted from a large, US-based, IBM MarketScan® Commercial Claims and Encounters Database from January 1, 2008 to December 31, 2015. Participants included patients 64 years and younger who had commercial insurance and a thyrotropin (TSH) level collected prior to a medical or surgical hospital admission. Covariates included age, sex, US region, type of admission (medical vs surgical), year of admission, and co-morbidities. The primary exposure was defined as clinical hypothyroidism, which was divided into 4 subgroups based on pre-hospitalization TSH level: low (TSH &amp;lt;0.40 mIU/L), normal (TSH 0.40–4.50 mIU/L), intermediate (TSH 4.51–10.00 mIU/L), and high (TSH &amp;gt;10.00 mIU/L). Non-hypothyroidism was the non-exposure (control). The primary outcomes were length of stay (LOS), in-hospital mortality, and readmission outcomes following medical and surgical admission. Results A total of 46,235 patients were included in the final study population, of whom 9,394 had a diagnosis of hypothyroidism. Those with a high pre-hospitalization TSH level had a LOS that was 1.2 days longer (95% CI [1.1–1.3]; p = 0.001), a 41% higher risk of 30-day readmission (RR 1.41, 95% CI [1.13–1.75]; p = 0.002), and 33% higher rate of 90-day readmission (RR 1.33, 95% CI [1.13–1.56]; p &amp;lt;0.001) compared to balanced controls. Patients with intermediate TSH levels exhibited increased likelihood of 30-day readmission (RR 1.20, 95% CI [1.01–1.43]; p = 0.04). Conversely, those with a normal pre-hospitalization TSH level had a decreased risk of in-hospital mortality (RR 0.55, 95% CI [0.34–0.89]; p = 0.02) and 90-day readmission (RR 0.91, 95% CI [0.85–0.99]; p = 0.02). Conclusions Suboptimal treatment of hypothyroidism appears to be associated with worse hospital outcomes, including longer LOS and higher rate of readmission. Public health strategies designed to deliver appropriate, consistent outpatient treatment of hypothyroidism are needed to improve hospital outcomes in those patients with off-target TSH levels. Presentation: Saturday, June 11, 2022 1:00 p.m. - 3:00 p.m., Sunday, June 12, 2022 12:30 p.m. - 12:35 p.m.

Relation between sex and mortality after myocardial infarction in high-income and middle-income European countries

Abstract Background The relationship between female sex and cardiovascular mortality in myocardial infarction (MI) is controversial. Most available data are from high-income countries (HIC) where baseline risk is lower and revascularization procedures are more likely, so the generalizability to other populations is unclear. Purpose The main goal of this study was to unravel the relation between patient-specific revascularization through percutaneous coronary intervention (PCI) and mortality among women and men. Methods Data were drawn from the ISACS-Archives (NCT04008173) which includes a large cohort of patients enrolled in 6 European HIC (Croatia, Italy, Lithuania, Hungary, Romania, and United Kingdom) and 7 middle-income countries (MIC; Bosnia &amp; Herzegovina, Kosovo, Macedonia, Moldova, Montenegro, and Serbia). Participants were stratified by MI subtypes: STEMI and NSTEMI. The primary outcome was 30-day mortality. To yield unbiased sex estimates of the effects of MI on mortality we modeled covariates and outcomes by propensity score-based analytic methods. We calculated the women to men risk ratios (RRs) using weighting with estimates compared by test of interaction on the log scale. Results The cohort consisted of 22,087 patients with MI (30.2% women). Patient outcomes varied according to the subtype of MI. Females was associated with a greater excess risk of 30-day mortality in STEMI (RR: 1.94; 95% CI: 1.71–2.21) compared with NSTEMI (RR: 1.12; 95% CI: 0.95–1.50; P interaction &amp;lt;0.001). Coronary revascularization reduced the incidence of death among women and men in the overall population. Despite this, the primary outcome of 30-day mortality remained higher in women than men with STEMI (RR: 2.38; 95% CI: 2.00–2.82) whereas it was comparable across sexes in patients with NSTEMI (RR: 1.21; 95% CI: 0.79–1.83; P interaction=0.002). Sex differences in mortality from STEMI were more significant in MIC compared with HIC (RRs: 2.30; 95% CI: 1.98–2.68 vs. 1.36; 95% CI: 1.05–1.75; P interaction &amp;lt;0.001). The sex gap in mortality was mitigated by the use of revascularization therapy (RRs: 2.05; 95% CI: 1.68–2.50 in MIC vs. 2.17; 95% CI: 1.48–3.18 in HIC; P interaction=0.40) Conclusion Women presenting with STEMI have worse early mortality rates than their male counterparts in both HIC and MIC even in patients undergoing revascularization. By contrast, sex differences are attenuated or no longer apparent in NSTEMI. With no information on the type of MI on admission, sex differences in early outcomes are difficult to be fully understood. Funding Acknowledgement Type of funding sources: None.

Characterizing real world safety profile of oral Janus kinase inhibitors among adult atopic dermatitis patients: evidence transporting from the rheumatoid arthritis population

Objective To address potential safety concerns of Janus Kinase Inhibitors (JAK-Is), we characterized their safety profile in the atopic dermatitis (AD) patient population. Methods In this retrospective observational study, we used propensity score-based methods and a Poisson modeling framework to estimate the incidence of health outcomes of interest (HOI) for the AD patient. To that end, two mutually exclusive cohorts were created using a real world data resource: a rheumatoid arthritis (RA) cohort, where we directly quantify the safety risk of JAK-Is on HOIs, and an AD cohort, that comprises the target population of interest and to whom we transport the results obtained from the RA cohort. The RA cohort included all adults who filled at least one prescription for a JAK-I (tofacitinib, baricitinib, or upadacitinib) between 1 January 2017 and 31 January 2020. The AD cohort consisted of all adults diagnosed with AD during the same period. We first estimated the incidence rate of each HOI in the RA cohort, and then transported the results to the AD population. Results The RA and AD cohorts included 5,296 and 261,855 patients, respectively. On average, patients in the AD cohort were younger, more often male, more likely to be Asian, and had higher household income. They also had a lower prevalence of several comorbid conditions including hypertension, chronic kidney disease, obesity, and depression. Overall, the transported incidence rates of the HOIs to the AD cohort were lower than those obtained in the RA cohort by 13–50%. Conclusion We applied transportability methods to characterize the risk of the HOIs in the AD population and found absolute risks higher than that of the general population. Future work is needed to validate these conclusions in comparable populations.

Evaluating the effect of Bolsa Familia, Brazil's conditional cash transfer programme, on maternal and child health: A study protocol.

Conditional Cash Transfer Programs have been developed in Latin America in response to poverty and marked social inequalities on the continent. In Brazil, the Bolsa Familia Program (BFP) was implemented to alleviate poverty and improve living conditions, health, and education for socioeconomically vulnerable populations. However, the effect of this intervention on maternal and child health is not well understood. We will evaluate the effect of BFP on maternal and child outcomes: 1. Birth weight; 2. Preterm birth; 3. Maternal mortality; and 4. Child growth. Dynamic retrospective cohort data from the 100 Million Brazilian Cohort (2001 to 2015) will be linked to three different databases: Live Birth Information System (2004 to 2015); Mortality Information System (2011 to 2015); and Food and Nutritional Surveillance System (2008 to 2017). The definition of exposure to the BFP varies according to the outcome studied. Those who never received the benefit until the outcome or until the end of the follow-up will be defined as not exposed. The effects of BFP on maternal and child outcomes will be estimated by a combination of propensity score-based methods and weighted logistic regressions. The analyses will be further stratified to reflect changes in the benefit entitlement before and after 2012. Harnessing a large linked administrative cohort allows us to assess the effect of the BFP on maternal and child health, while considering a wide range of explanatory and confounding variables.