Associations between regular physical exercise and physical, emotional, and cognitive health of older adults in China: an 8-year longitudinal study with propensity score matching

Background

The importance of healthy aging is growing in China as it has the largest number of older adults in the world and is one of the fastest-aging countries. This study aimed to examine the predictive value of regular physical exercise in relation to the physical, emotional, and cognitive health among samples of adults aged ≥60 years in China during an 8-year period.

Methods

A total of 10,691 older adults were extracted from two waves of national data from the China Family Panel Studies in 2010 and 2018. To minimize the impact of selection bias on the findings, a longitudinal propensity score matching (LPSM) method was used to examine the relationships between regular physical exercise and emotional health (depression), between regular physical exercise and physical health (instrumental activities of daily living), and between regular physical exercise and cognitive health (cognitive ability) of older adults. After LPSM, 856 older adults were included in the study. In the regular physical exercise group, the average age of participants at baseline year was 65.67 years, with an average age of 65.90 years for 238 men and 65.45 years for 190 women, and in the non-physical exercise group, their average age at baseline year was 65.70 years, with an average age of 65.45 years for 253 men and 65.98 years for 175 women.

Results

LPSM indicated that regular physical exercise has been found to be effective in improving physical function and reducing depressive symptoms in old adults, even after controlling for background differences. However, the sensitivity analysis suggests that the positive association between regular physical exercise and cognitive function may not be sufficiently valid.

Conclusion

The findings of this study indicate that engaging in long-term structured and repetitive physical exercise can have a significant positive effect on reducing depressive symptoms and improving the physical function of older adults. As a result, incorporating regular physical exercise into the lifestyle of older adults is recognized as an effective strategy for promoting healthy aging and reducing the strain on public health resources.

Adaptively leverage multiple real-world data sources for treatment effect estimation based on similarity

The incorporation of real-world data (RWD) into medical product development and evaluation has exhibited consistent growth. However, there is no universally adopted method of how much information to borrow from external data. This paper proposes a study design methodology called Tree-based Monte Carlo (TMC) that dynamically integrates patients from various RWD sources to calculate the treatment effect based on the similarity between clinical trial and RWD. Initially, a propensity score is developed to gauge the resemblance between clinical trial data and each real-world dataset. Utilizing this similarity metric, we construct a hierarchical clustering tree that delineates varying degrees of similarity between each RWD source and the clinical trial data. Ultimately, a Gaussian process methodology is employed across this hierarchical clustering framework to synthesize the projected treatment effects of the external group. Simulation result shows that our clustering tree could successfully identify similarity. Data sources exhibiting greater similarity with clinical trial are accorded higher weights in treatment estimation process, while less congruent sources receive comparatively lower emphasis. Compared with another Bayesian method, meta-analytic predictive prior (MAP), our proposed method's estimator is closer to the true value and has smaller bias.

The relationship between household food insecurity and overweight or obesity among children and adults in Canada: a population-based, propensity score weighting analysis

Household food insecurity is independently associated with adverse health outcomes among Canadians, but its association with overweight and obesity is poorly understood partly because of limited attention to confounding. This study assessed the relationship between food insecurity status and overweight/obesity in Canada. Cross-sectional data for individuals aged 2-64 years were drawn from the 2004 and 2015 Canadian Community Health Survey-Nutrition. Overweight/obesity was defined using body mass index calculated with measured height and weight. Food insecurity status was assessed with the 18-item Household Food Security Survey Module. The relationship was examined among preschool children (n = 2007), girls (n = 5512), boys (n = 5507), women (n = 8317), and men (n = 7279) using propensity score weighted logistic regressions to control for confounding. Relative to their food-secure counterparts, girls in moderately food-insecure households (39.7% vs. 28.5%), boys in severely food-insecure households (54.4% vs. 35.0%), and women in moderately and severely food-insecure households (58.9% and 73.1% vs. 50.7%) had higher overweight/obesity prevalence; men in moderately food-insecure households had a lower prevalence (48.9% vs. 66.3%). With propensity score weighting, no association existed between food insecurity and overweight/obesity among preschool children, girls, boys, or men. For women, moderate (adjusted odds ratio (AOR): 1.61; 95% confidence interval (95%CI): 1.06-2.47) and severe (AOR: 2.33; 95%CI: 1.22-4.44) food insecurity was positively associated with overweight/obesity; the association was strongest for severe food insecurity and obesity (AOR: 3.38; 95%CI: 1.60-7.16). Additional research is needed to better understand the nature of the relationship among women. Problems of food insecurity and overweight/obesity among Canadian children and men should not be conflated in public health interventions.

Pre-Existing Left Bundle Branch Block and Clinical Outcomes After Transcatheter Aortic Valve Replacement

Background

Few reports on pre-existing left bundle branch block (LBBB) in patients undergoing transcatheter aortic valve replacement (TAVR) are currently available. Further, no present studies compare patients with new onset LBBB with those with pre-existing LBBB.

Objectives

This study aimed to investigate the association between pre-existing or new onset LBBB and clinical outcomes after TAVR.

Methods

Using data from the Japanese multicenter registry, 5,996 patients who underwent TAVR between October 2013 and December 2019 were included. Patients were classified into 3 groups: no LBBB, pre-existing LBBB, and new onset LBBB. The 2-year clinical outcomes were compared between 3 groups using Cox proportional hazards models and propensity score analysis to adjust the differences in baseline characteristics.

Results

Of 5,996 patients who underwent TAVR, 280 (4.6%) had pre-existing LBBB, while 1,658 (27.6%) experienced new onset LBBB. Compared with the no LBBB group, multivariable Cox regression analysis showed that pre-existing LBBB was associated not only with a higher 2-year all-cause (adjusted HR: 1.39; 95% CI: 1.06-1.82; P = 0.015) and cardiovascular (adjusted HR: 1.60; 95% CI: 1.04-2.48; P = 0.031) mortality, but also with higher all-cause (adjusted HR: 1.43, 95% CI: 1.07-1.91; P = 0.016) and cardiovascular (adjusted HR: 1.81, 95% CI:1.12-2.93; P = 0.014) mortality than the new onset LBBB group. Heart failure was the most common cause of cardiovascular death, with more heart failure deaths in the pre-existing LBBB group.

Conclusions

Pre-existing LBBB was independently associated with poor clinical outcomes, reflecting an increased risk of cardiovascular mortality after TAVR. Patients with pre-existing LBBB should be carefully monitored.

Prescribing Trends of Renin-Angiotensin System Inhibitors and Mortality among Acute Coronary Syndrome Patients: Insights from the Malaysian National Cardiovascular Disease Registry

Background

Despite guideline recommendations, suboptimal prescription rates of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) have been observed in patients with acute coronary syndrome.

Objective

This study aimed to examine the temporal trends, variations, and mortality outcomes among acute coronary syndrome patients prescribed ACEIs/ARBs in the multi-ethnic population of Malaysia.

Methodology

This retrospective study utilized data from the Malaysian National Cardiovascular Disease-Acute Coronary Syndrome registry, encompassing consecutive patient records from 2008 to 2017 (N = 60,854). Ten-year temporal trends of on-discharge ACEIs/ARBs prescription were examined. Demographics, clinical characteristics and 1-year all-cause mortality outcomes were compared between patients prescribed and not prescribed ACEIs/ARBs.

Results

The 10-year prescription rate of on-discharge ACEIs/ARBs was 52.8% (n = 32,140), with a significant decline over the years [linear trend test, P = 0.008; SD = 0.03; SE = 0.001; 95% CI = 0.55-0.64]. Patients aged ≥65 years (aOR = 0.79; 95% CI = 0.73-0.86) were less likely to be prescribed ACEIs/ARBs than those aged <65 years. In addition, patients with comorbid diabetes mellitus (DM) (aOR = 0.85; 95% CI = 0.79-0.92) and chronic kidney disease (CKD) (aOR = 0.34; 95% CI = 0.30-0.40) were significantly less likely to receive ACEIs/ARBs. IPW-adjusted survival analysis revealed a 38% lower 1-year all-cause mortality rate in patients prescribed on-discharge ACEIs/ARBs (HR = 0.62; 95% CI = 0.56-0.69; P < 0.001).

Conclusion

Acute coronary syndrome patients with concomitant DM and CKD were less likely to receive on-discharge ACEIs/ARBs in Malaysia. Suboptimal prescription rates of ACEIs/ARBs persisted over the 10-year period, despite improved 1-year survival in ACS patients prescribed ACEIs/ARBs.

Comparing Perioperative Complications of Off-Clamp versus On-Clamp Partial Nephrectomy for Renal Cancer Using a Novel Energy Balancing Weights Method

Partial nephrectomy (PN) is the primary surgical method for renal tumor treatment, typically involving clamping the renal artery during tumor removal, leading to warm ischemia and potential renal function impairment. Off-clamp approaches have been explored to mitigate organ damage, yet few results have emerged about the possible effects on hemoglobin loss. Most evidence comes from retrospective studies using propensity score matching, known to be sensitive to PS model misspecification. The energy balancing weights (EBW) method offers an alternative method to address bias by focusing on balancing all the characteristics of covariate distribution. We aimed to compare on- vs. off-clamp techniques in PN using EB-weighted retrospective patient data. Out of 333 consecutive PNs (275/58 on/off-clamp ratio), the EBW method achieved balanced variables, notably tumor anatomy and staging. No significant differences were observed in the operative endpoints between on- and off-clamp techniques, although off-clamp PNs showed slight reductions in hemoglobin loss and renal function decline, albeit with slightly higher perioperative blood loss. Our findings support previous evidence, indicating comparable surgical outcomes between standard and off-clamp procedures, with the EBW method proving effective in balancing baseline variables in observational studies comparing interventions.

Comparative efficacy of ofatumumab versus oral therapies for relapsing multiple sclerosis patients using propensity score analyses and simulated treatment comparisons

Background

Evidence from network meta-analyses (NMAs) and real-world propensity score (PS) analyses suggest monoclonal antibodies (mAbs) offer a therapeutic advantage over currently available oral therapies and, therefore, warrant consideration as a distinct group of high-efficacy disease-modifying therapies (DMTs) for patients with relapsing multiple sclerosis (RMS). This is counter to the current perception of these therapies by some stakeholders, including payers.

Objectives

A multifaceted indirect treatment comparison (ITC) approach was undertaken to clarify the relative efficacy of mAbs and oral therapies.

Design

Two ITC methods that use individual patient data (IPD) to adjust for between-trial differences, PS analyses and simulated treatment comparisons (STCs), were used to compare the mAb ofatumumab versus the oral therapies cladribine, fingolimod, and ozanimod.

Data sources and methods

As IPD were available for trials of ofatumumab and fingolimod, PS analyses were conducted. Given summary-level data were available for cladribine, fingolimod, and ozanimod trials, STCs were conducted between ofatumumab and each of these oral therapies. Three efficacy outcomes were compared: annualized relapse rate (ARR), 3-month confirmed disability progression (3mCDP), and 6-month CDP (6mCDP).

Results

The PS analyses demonstrated ofatumumab was statistically superior to fingolimod for ARR and time to 3mCDP but not time to 6mCDP. In STCs, ofatumumab was statistically superior in reducing ARR and decreasing the proportion of patients with 3mCDP compared with cladribine, fingolimod, and ozanimod and in decreasing the proportion with 6mCP compared with fingolimod and ozanimod. These findings were largely consistent with recently published NMAs that identified mAb therapies as the most efficacious DMTs for RMS.

Conclusion

Complementary ITC methods showed ofatumumab was superior to cladribine, fingolimod, and ozanimod in lowering relapse rates and delaying disability progression among patients with RMS. Our study supports the therapeutic superiority of mAbs over currently available oral DMTs for RMS and the delineation of mAbs as high-efficacy therapies.

Predicting postinterventional rupture of intracranial aneurysms using arteriography-derived radiomic features after pipeline embolization

Background and purpose

Postinterventional rupture of intracranial aneurysms (IAs) remains a severe complication after flow diverter treatment. However, potential hemodynamic mechanisms underlying independent predictors for postinterventional rupture of IAs remain unclear. In this study, we employed arteriography-derived radiomic features to predict this complication.

Methods

We included 64 patients who underwent pipeline flow diversion for intracranial aneurysms, distinguishing between 16 patients who experienced postinterventional rupture and 48 who did not. We performed propensity score matching based on clinical and morphological factors to match these patients with 48 patients with postinterventional unruptured IAs at a 1:3 ratio. Postinterventional digital subtraction angiography were used to create five arteriography-derived perfusion parameter maps and then radiomics features were obtained from each map. Informative features were selected through the least absolute shrinkage and selection operator method with five-fold cross-validation. Subsequently, radiomics scores were formulated to predict the occurrence of postinterventional IA ruptures. Prediction performance was evaluated with the training and test datasets using area under the curve (AUC) and confusion matrix-derived metrics.

Results

Overall, 1,459 radiomics features were obtained, and six were selected. The resulting radiomics scores had high efficacy in distinguishing the postinterventional rupture group. The AUC and Youden index were 0.912 (95% confidence interval: 0.767-1.000) and 0.847 for the training dataset, respectively, and 0.938 (95% confidence interval, 0.806-1.000) and 0.800 for the testing dataset, respectively.

Conclusion

Radiomics scores generated using arteriography-derived radiomic features effectively predicted postinterventional IA ruptures and may aid in differentiating IAs at high risk of postinterventional rupture.

Propensity score-incorporated adaptive design approaches when incorporating real-world data

The propensity score-integrated composite likelihood (PSCL) method is one method that can be utilized to design and analyze an application when real-world data (RWD) are leveraged to augment a prospectively designed clinical study. In the PSCL, strata are formed based on propensity scores (PS) such that similar subjects in terms of the baseline covariates from both the current study and RWD sources are placed in the same stratum, and then composite likelihood method is applied to down-weight the information from the RWD. While PSCL was originally proposed for a fixed design, it can be extended to be applied under an adaptive design framework with the purpose to either potentially claim an early success or to re-estimate the sample size. In this paper, a general strategy is proposed due to the feature of PSCL. For the possibility of claiming early success, Fisher's combination test is utilized. When the purpose is to re-estimate the sample size, the proposed procedure is based on the test proposed by Cui, Hung, and Wang. The implementation of these two procedures is demonstrated via an example.

The Effect of CenteringPregnancy Group Antenatal Care on Maternal, Birth, and Neonatal Outcomes Among Low-Risk Women in the Netherlands: A Stepped-Wedge Cluster Randomized Trial

INTRODUCTION

This study was carried out to assess the effects of participating in CenteringPregnancy (CP) on maternal, birth, and neonatal outcomes among low-risk pregnant women in the Netherlands.

METHODS

A total of 2124 pregnant women in primary care were included in the study. Data were derived from the Dutch national database, Perined, complemented with data from questionnaires completed by pregnant women. A stepwise-wedge design was employed; multilevel intention-to-treat analyses and propensity score matching were the main analytic approaches. Propensity score matching resulted in sample sizes of 305 nulliparous women in both the individual care (IC) and the matched control group (control-IC) and 267 in the CP and control-CP groups. For multiparous women, 354 matches were found for IC and control-IC groups and 152 for CP and control-CP groups. Main outcome measures were maternal, birth, and neonatal outcomes.

RESULTS

Compared with the control-CP group receiving standard antenatal care, nulliparous women participating in CP had a lower risk of maternal hypertensive disorders (odds ratio [OR], 0.53; 95% CI, 0.30-0.93) and for the composite adverse maternal outcome (OR, 0.52; 95% CI, 0.33-0.82). Breastfeeding initiation rates were higher amongst nulliparous (OR, 2.23; 95% CI, 134-3.69) and multiparous women (OR, 1.62; 95% CI, 1.00-2.62) participating in CP compared with women in the control-CP group.

CONCLUSION

Nulliparous women in CP were at lower risk of developing hypertensive disorders during pregnancy and, consequently, at lower risk of having adverse maternal outcomes. The results confirmed our hypothesis that both nulliparous and multiparous women who participated in CP would have higher breastfeeding rates compared with women receiving standard antenatal care.

Characterizing Imbalance in the Tails of the Propensity Score Distribution

Understanding characteristics of patients with propensity scores in the tails of the propensity score (PS) distribution has relevance for inverse-probability-of-treatment-weighted and PS-based estimation in observational studies. Here we outline a method for identifying variables most responsible for extreme propensity scores. The approach is illustrated in 3 scenarios: 1) a plasmode simulation of adult patients in the National Ambulatory Medical Care Survey (2011-2015) and 2) timing of dexamethasone initiation and 3) timing of remdesivir initiation in patients hospitalized for coronavirus disease 2019 from February 2020 through January 2021. PS models were fitted using relevant baseline covariates, and tails of the PS distribution were defined using asymmetric first and 99th percentiles. After fitting of the PS model in each original data set, values of each key covariate were permuted and model-agnostic variable importance measures were examined. Visualization and variable importance techniques were helpful in identifying variables most responsible for extreme propensity scores and may help identify individual characteristics that might make patients inappropriate for inclusion in a study (e.g., off-label use). Subsetting or restricting the study sample based on variables identified using this approach may help investigators avoid the need for trimming or overlap weights in studies.

Visualizing the target estimand in comparative effectiveness studies with multiple treatments

Aim: Comparative effectiveness research using real-world data often involves pairwise propensity score matching to adjust for confounding bias. We show that corresponding treatment effect estimates may have limited external validity, and propose two visualization tools to clarify the target estimand. Materials & methods: We conduct a simulation study to demonstrate, with bivariate ellipses and joy plots, that differences in covariate distributions across treatment groups may affect the external validity of treatment effect estimates. We showcase how these visualization tools can facilitate the interpretation of target estimands in a case study comparing the effectiveness of teriflunomide (TERI), dimethyl fumarate (DMF) and natalizumab (NAT) on manual dexterity in patients with multiple sclerosis. Results: In the simulation study, estimates of the treatment effect greatly differed depending on the target population. For example, when comparing treatment B with C, the estimated treatment effect (and respective standard error) varied from -0.27 (0.03) to -0.37 (0.04) in the type of patients initially receiving treatment B and C, respectively. Visualization of the matched samples revealed that covariate distributions vary for each comparison and cannot be used to target one common treatment effect for the three treatment comparisons. In the case study, the bivariate distribution of age and disease duration varied across the population of patients receiving TERI, DMF or NAT. Although results suggest that DMF and NAT improve manual dexterity at 1 year compared with TERI, the effectiveness of DMF versus NAT differs depending on which target estimand is used. Conclusion: Visualization tools may help to clarify the target population in comparative effectiveness studies and resolve ambiguity about the interpretation of estimated treatment effects.

Associations between morphological parameters and ruptured anterior communicating artery aneurysm: A propensity score-matched, single center, case-control study

BACKGROUND

To identify an association between morphological parameters and the rupture risk of anterior communicating artery (ACoA) aneurysms using propensity score matching (PSM).

METHODS

Data for 109 patients with ACoA aneurysms treated from January 2018 to October 2021 were reviewed; 94 patients were enrolled. The geometrical parameters of the ACoA aneurysms were measured and calculated using three-dimensional reconstructed digital subtraction angiography images. The aneurysms' morphological parameters were analyzed using a propensity score for six factors (age, sex, excess alcohol intake, smoking, hypertension, diabetes mellitus). Univariate logistic regression was used to analyze the relationship between the aneurysms' morphological parameters and rupture risk.

RESULTS

Twenty-five patients each with or without ruptured aneurysms were selected. After matching, no statistically significant differences were seen between the groups in their baseline characteristics. Aneurysm neck size (p = 0.038) was higher in the unruptured group than that in the ruptured group, and the dome-to-neck ratio (D/N; p = 0.009) and aspect ratio (AR; p = 0.003) were higher in the ruptured group than those in the unruptured group. Univariable logistic regression analysis demonstrated that ACoA aneurysm rupture was associated with AR (odds ratio: 8.047; 95% confidence interval: 1.569-41.213; p = 0.012) and D/N (odds ratio: 4.253; 95% confidence interval: 1.228-14.731; p = 0.022). The areas under the receiver operating characteristic curves for AR and D/N were 0.746 and 0.715, respectively.

CONCLUSIONS

After PSM, ACoA aneurysms with higher AR and D/N, and smaller neck size were more likely to rupture. AR may be a much more important predictor of aneurysm rupture than other predictors.

Induction of labor and risk of postpartum hemorrhage in women with vaginal delivery: A propensity score analysis

OBJECTIVE

To explore the association between induction of labor (IOL) and postpartum hemorrhage (PPH) after vaginal delivery.

METHODS

We included women from the merged database of three randomized prospective trials (TRACOR, CYTOCINON, and TRAAP) that measured postpartum blood loss precisely, with standardized methods. IOL was considered overall and according to its method. The association between IOL and PPH was tested by multivariate logistic regression modeling, adjusted for confounders, and by propensity score matching. The role of potential intermediate factors, i.e. estimated quantity of oxytocin administered during labor and operative vaginal delivery, was assessed with structural equation modeling.

RESULTS

Labor was induced for 1809 of the 9209 (19.6%) women. IOL was associated with a significantly higher risk of PPH of 500 mL or more (adjusted odds ratio 1.56, 95% confidence interval 1.42-1.70) and PPH of 1000 mL or more (adjusted odds ratio 1.51, 95% confidence interval 1.16-1.96). The risk of PPH increased similarly regardless of the method of induction. The results were similar after propensity score matching (odds ratio for PPH ≥500 mL 1.57, 95% confidence interval 1.33-1.87, odds ratio for PPH ≥1000 mL 1.57, 95% confidence interval 1.06-2.07). Structural equation modeling showed that 34% of this association was mediated by the quantity of oxytocin administered during labor and 1.3% by women who underwent operative vaginal delivery.

CONCLUSION

Among women with vaginal delivery, the risk of PPH is higher in those with IOL, regardless of its method, and after accounting for indication bias. The quantity of oxytocin administered during labor may explain one third of this association.

Impact of urinary diversion type on urethral recurrence following radical cystectomy for bladder cancer: propensity score matched and weighted analyses of retrospective cohort

BACKGROUND

The absence of randomized controlled trials and the presence of inherent selection bias in existing studies have led to ongoing uncertainty regarding the impact of urinary diversion (UD) type (orthotopic UD or nonorthotopic UD) on urethral recurrence (UR) following radical cystectomy (RC) for bladder cancer. This study aimed to assess the impact of the UD types on UR after RC and to identify predictive factors associated with UR.

MATERIALS AND METHODS

This retrospective analysis encompassed 612 male patients who underwent RC for urothelial carcinoma of the bladder. Among them, 341 patients received nonorthotopic UD [ileal conduit (IC) or ureterocutaneostomy (UC)], whereas 271 received orthotopic neobladder (NB) between January 2012 and October 2022. To mitigate potential biases, we employed 1:1 propensity score matching (PSM) and stabilized inverse probability treatment weighting (IPTW). Kaplan-Meier analysis and log-rank tests were employed to assess UR-free survival between the IC/UC and NB groups, while multivariable Cox regression analysis was conducted to determine predictive factors for UR.

RESULTS

Among the 612 patients included, 33 (5.4%) experienced UR. PSM yielded matched cohort comprising 412 patients, evenly distributed with 206 patients in each group (IC/UC and NB). Clinicopathological data demonstrated similarity between the two groups. Patients who underwent NB exhibited significantly superior UR-free survival in both PSM (log-rank P =0.033) and IPTW cohorts (log-rank P =0.009). NB reconstruction (vs. IC/UC) emerged as a substantial protective factor against UR [hazard ratio (HR) 0.283; 95% CI: 0.088-0.916; P =0.035], whereas prostatic urethral involvement was identified as a significant risk factor (HR 5.328; 95% CI: 1.298-21.868; P =0.020) in the PSM cohort. Additionally, in the IPTW cohort, NB reconstruction (vs. IC/UC) maintained its significance as a protective factor against UR (HR 0.336; 95% CI: 0.131-0.858; P =0.023) along with neoadjuvant chemotherapy (HR 0.335; 95% CI: 0.116-0.969; P =0.044), whereas prostatic urethral involvement remained a significant risk factor (HR 3.752; 95% CI: 1.484-9.488; P =0.005).

CONCLUSIONS

Even after mitigating selection bias, NB reconstruction holds a protective effect against UR in male patients undergoing RC for bladder cancer.

Estimating Surveillance Bias in Child Maltreatment Reporting During Home Visiting Program Involvement

It is unclear if surveillance bias (increased reports to Child Protective Services [CPS] related to program involvement) has a substantial impact on evaluation of home visiting (HV) prevention programs. We estimated surveillance bias using data from Connecticut's HV program, birth certificates, CPS, and hospitals. Using propensity score matching, we identified 15,870 families similar to 4015 HV families. The difference-in-differences approach was used to estimate surveillance bias as the change in investigated reports from the last 6 months of program involvement to the next 6 months. The median age of the children at program exit was 1.2 years (range: 60 days, 5 years). We estimated that 25.6% of investigated reports in the HV group resulted from surveillance bias. We reviewed CPS reports of 194 home-visited families to determine if a home visitor made the report and found that 10% were directly from home visitors. Program evaluations should account for surveillance bias.

Effect of Abdominal Aortic Calcification on Recurrence Following Initial Hepatectomy for Colorectal Liver Metastases

BACKGROUND/AIM

The aim of the study was to analyze the association between abdominal aortic calcification (AAC) and patient prognosis following resection of colorectal liver metastases (CRLM). AAC potentially reflects intrahepatic immunity and is involved in tumor development and progression. However, the clinical effects of AAC on colorectal cancer (CRC) prognosis after curative-intent liver resection for CRLM remain unclear.

PATIENTS AND METHODS

We evaluated the effect of AAC on the clinical prognosis and metastatic patterns in 99 patients who underwent hepatectomy for CRLM between 2010 and 2019.

RESULTS

The high-AAC group had significantly worse overall survival (OS) and remnant liver recurrence rate (RR) after propensity score matching to adjust for differences in baseline characteristics of patients and tumors. In multivariate Cox regression analyses, high AAC volume was an independent risk factor for poor OS and liver RR, but not poor lung RR. The expression of tumor necrosis factor-related apoptosis-inducing ligand, known as an anti-tumor marker, in liver natural killer (NK) cells was lower in the high-AAC group than in the low-AAC group.

CONCLUSION

High AAC volume showed a strong relationship with remnant liver RR after curative resection of CRLM. High AAC volume may be responsible for the suppression of anti-tumor activity of liver NK cells, which results in an increased risk of liver recurrence and poor prognosis.

Statistical inference for time-to-event data in non-randomized cohorts with selective attrition

In multi-season clinical trials with a randomize-once strategy, patients enrolled from previous seasons who stay alive and remain in the study will be treated according to the initial randomization in subsequent seasons. To address the potentially selective attrition from earlier seasons for the non-randomized cohorts, we develop an inverse probability of treatment weighting method using season-specific propensity scores to produce unbiased estimates of survival functions or hazard ratios. Bootstrap variance estimators are used to account for the randomness in the estimated weights and the potential correlations in repeated events within each patient from season to season. Simulation studies show that the weighting procedure and bootstrap variance estimator provide unbiased estimates and valid inferences in Kaplan-Meier estimates and Cox proportional hazard models. Finally, data from the INVESTED trial are analyzed to illustrate the proposed method.

High-dimensional generalized median adaptive lasso with application to omics data

Recently, there has been a growing interest in variable selection for causal inference within the context of high-dimensional data. However, when the outcome exhibits a skewed distribution, ensuring the accuracy of variable selection and causal effect estimation might be challenging. Here, we introduce the generalized median adaptive lasso (GMAL) for covariate selection to achieve an accurate estimation of causal effect even when the outcome follows skewed distributions. A distinctive feature of our proposed method is that we utilize a linear median regression model for constructing penalty weights, thereby maintaining the accuracy of variable selection and causal effect estimation even when the outcome presents extremely skewed distributions. Simulation results showed that our proposed method performs comparably to existing methods in variable selection when the outcome follows a symmetric distribution. Besides, the proposed method exhibited obvious superiority over the existing methods when the outcome follows a skewed distribution. Meanwhile, our proposed method consistently outperformed the existing methods in causal estimation, as indicated by smaller root-mean-square error. We also utilized the GMAL method on a deoxyribonucleic acid methylation dataset from the Alzheimer's disease (AD) neuroimaging initiative database to investigate the association between cerebrospinal fluid tau protein levels and the severity of AD.

Efficiency and safety of hepatic arterial infusion chemotherapy (HAIC) combined with anti-PD1 therapy versus HAIC monotherapy for advanced hepatocellular carcinoma: A multicenter propensity score matching analysis

PURPOSE

To investigate the clinical efficacy and safety of combination therapy of hepatic arterial infusion chemotherapy (HAIC) and anti-programmed cell death protein-1 (PD-1) therapy in the treatment of advanced hepatocellular carcinoma (HCC).

METHODS

In this retrospective clinical research, from March 2018 to December 2019, 1158 HCC patients categorized as BCLC stage C were reviewed for eligibility. We utilized propensity score matching (PSM) to mitigate initial disparities between the groups. The evaluation of the best tumor response was conducted in accordance with mRECIST 1.1 criteria. The difference in survival outcomes including overall survival (OS), progression-free survival (PFS), and objective response rate (ORR) between groups were compared.

RESULTS

Following the eligibility review, 453 patients underwent a combined treatment of HAIC with PD1 inhibitors (HAIC-PD1 group), while 221 patients received HAIC monotherapy (HAIC group) met the inclusion criteria and were finally enrolled in this study. In the entire cohort, the HAIC-PD1 group exhibited significantly prolonged overall survival (median overall survival: 40.4 months vs. 9.7 months, p < 0.001) and progression-free survival (median progression-free survival: 22.1 months vs. 5.8 months, p < 0.001). By propensity score, patients were matched according to baseline differences, resulting in all 442 patients in group HAIC-PD1 (n = 221) and group HAIC (n = 221). After PSM adjustment, as well, the survival of the HAIC-PD1 group was still distinctly longer than the HAIC group (median overall survival time, 40.4 months vs 9.7 months, p < 0.001; median progression-free survival, 22.1 months vs 5.7 months, p < 0.001). Univariate and multivariable analysis demonstrated that AFP level, metastasis, and therapeutic schedule were independent predictive factors for overall survival.

CONCLUSION

The combination therapy of HAIC and PD1 inhibitors successfully extended OS to advanced HCC patients and could be a better choice than HAIC monotherapy.

Association between periodontal disease and malignant soft tissue sarcomas

OBJECTIVE

Malignant soft tissue sarcoma (MSTS) is a rare disease, but is seen in patients undergoing orthopedic surgery. Although the association of periodontal disease with various cancers occurring in the oral cavity, gastrointestinal tract, lungs, and prostate, has been reported, the association between periodontal disease and MSTS remains unclear. This study investigated the association between periodontal disease and MSTS in patients undergoing orthopedic surgery.

SUBJECTS AND METHODS

One hundred fifteen patients who underwent orthopedic surgery between 2017 and 2021 were retrospectively enrolled (mean age = 66.8 ± 10.7 years). The patient background was adjusted by the propensity score (PS). Subsequently, the association of periodontal disease with MSTS was analyzed using PS inverse probability of treatment weighting (IPTW). Periodontal status was determined by evaluating the periodontal inflamed surface area, which was calculated by measuring the periodontal probing pocket depth and detecting bleeding on probing.

RESULTS

Multivariate logistic regression analysis after adjustment by the PS showed that severe periodontitis was significantly associated with MSTS (odds ratio 2.81, p = 0.04). Furthermore, IPTW showed that severe periodontitis was significantly associated with MSTS (odds ratio 3.21, p = 0.01).

CONCLUSION

The results indicate an association between periodontal inflammation and MSTS.

Thiazide Diuretics and Risk of Colorectal Cancer: A Population-Based Cohort Study

Evidence from clinical trials and observational studies on the association between thiazide diuretics and colorectal cancer risk is conflicting. We aimed to determine whether thiazide diuretics are associated with an increased colorectal cancer risk compared with dihydropyridine calcium channel blockers (dCCBs). A population-based, new-user cohort was assembled using the UK Clinical Practice Research Datalink. Between 1990-2018, we compared thiazide diuretic initiators with dCCB initiators and estimated hazard ratios (HR) with 95% confidence intervals (CIs) of colorectal cancer using Cox proportional hazard models. Models were weighted using standardized morbidity ratio weights generated from calendar time-specific propensity scores. The cohort included 377,760 thiazide diuretic initiators and 364,300 dCCB initiators, generating 3,619,883 person-years of follow-up. Compared with dCCBs, thiazide diuretics were not associated with colorectal cancer (weighted HR = 0.97, 95% CI: 0.90, 1.04). Secondary analyses yielded similar results, although an increased risk was observed among patients with inflammatory bowel disease (weighted HR = 2.45, 95% CI: 1.13, 5.35) and potentially polyps (weighted HR = 1.46, 95% CI: 0.93, 2.30). Compared with dCCBs, thiazide diuretics were not associated with an overall increased colorectal cancer risk. While these findings provide some reassurance, research is needed to corroborate the elevated risks observed among patients with inflammatory bowel disease and history of polyps.

The Impact of Using Donor Sperm After ICSI Failure in Severe Oligozoospermia on Male Mental Health and Erectile Function

Objective

To analyze the mental health and erectile function status of men using sperm donor during pregnancy after ICSI failure in severe oligoasthenospermia and to provide reference for clinical implementation of more targeted psychological intervention and nursing for this group.

Methods

A total of 410 sterile men who received assisted pregnancy treatment in our hospital from December 2020 to December 2022 and met the inclusion and exclusion criteria were collected as the study subjects. Among them, 68 patients with severe oligoasthenospermia who used donor assisted pregnancy after ICSI failure were used as the study group. Sixty-eight patients with severe oligoasthenospermia who continued to receive ICSI assisted pregnancy were matched by propensity score 1:1 as control group. General data questionnaire, self-rating Anxiety Scale (SAS), self-rating Depression Scale (SDS), Chinese version of perceived Stress Scale (CPSS) and International Erectile Function Index Rating Scale (IIEF-5) were used to conduct a cross-sectional investigation to compare the mental health and erectile function status of the two groups.

Results

There were statistical differences in age and occupational status between the two groups before PSM (P < 0.05), but there was no statistical significance in social demographic data between the two groups after matching (P > 0.05). The incidence of anxiety, depression, stress and erectile dysfunction (ED) in the study group was higher than that in the control group, and there were statistical differences between the two groups (P < 0.05).

Conclusion

The use of donor sperm to assist pregnancy has a great impact on the mental health and erectile function of infertile men. Medical personnel should pay attention to the mental health and erectile function of these men, and formulate targeted measures to help these patients actively cope with infertility, so as to improve the life and marriage quality of this group and improve their mental health status.

Novel biomarkers based on dual-energy computed tomography for risk stratification of very early distant metastasis in colorectal cancer after surgery

Background

Very early distant metastasis (VEDM) for patients with colorectal cancer (CRC) following surgery suggests failure of local treatment strategy and few biomarkers are available for its effective risk stratification. This study aimed to explore the potential of quantitative dual-energy computed tomography (DECT) spectral parameters and build models to predict VEDM.

Methods

Consecutive patients suspected of having CRC and with a clinical indication for enhanced CT from April 2021 to July 2022 at a single institution were prospectively enrolled to undertake spectral CT scanning. The spectral features were extracted by two reviewers and intraclass correlation coefficient (ICC) was used for interobserver agreement evaluation. A total of 16 spectral parameters, including unenhanced effective atomic number, triphasic iodine concentrations (ICs)/normalized ICs (NICs)-A/V/E/1/NIC-A/V/E/spectral curve slopes (λ-A/V/E), two arterial enhancement fractions (AEFs), and venous enhancement fraction (VEF), were determined for analysis. Patients with and without VEDM after surgery were matched using propensity score matching (PSM). The diagnostic performance was assessed using the area under the curve (AUC). Models of multiple modalities were generated.

Results

In total, 222 patients were included (141 males, age range, 32-83 years) and 13 patients developed VEDM. Interobserver agreement ranged from good to excellent (ICC, 0.773-0.964). A total of three spectral parameters (VEF, λ-V, and 1/NIC-V) exhibited significant discriminatory ability (P<0.05) in predicting VEDM, with AUCs of 0.822 [95% confidence interval (CI): 0.667-0.926], 0.738 (95% CI: 0.573-0.866), and 0.713 (95% CI: 0.546-0.846) and optimal cutoff points of 67.16%, 2.46, and 2.44, respectively. The performance of these spectral parameters was validated in the entire cohort; the combined spectral model showed comparable efficiency to the combined clinical model [AUC, 0.771 (95% CI: 0.622-0.919) vs. 0.779 (95% CI: 0.663-0.894), P>0.05]; the clinical-spectral model achieved further improved AUC of 0.887 (95% CI: 0.812-0.962), which was significantly higher than the combined clinical model (P=0.015), yet not superior to the combined spectral model (P=0.078).

Conclusions

Novel spectral parameters showed potential in predicting VEDM in CRC following surgery in this preliminary study, which were closely related with spectral perfusion in the venous phase. However, further studies with larger samples are warranted.