Robust inference for causal mediation analysis of recurrent event data.

Recurrent events, including cardiovascular events, are commonly observed in biomedical studies. Understanding the effects of various treatments on recurrent events and investigating the underlying mediation mechanisms by which treatments may reduce the frequency of recurrent events are crucial tasks for researchers. Although causal inference methods for recurrent event data have been proposed, they cannot be used to assess mediation. This study proposed a novel methodology of causal mediation analysis that accommodates recurrent outcomes of interest in a given individual. A formal definition of causal estimands (direct and indirect effects) within a counterfactual framework is given, and empirical expressions for these effects are identified. To estimate these effects, a semiparametric estimator with triple robustness against model misspecification was developed. The proposed methodology was demonstrated in a real-world application. The method was applied to measure the effects of two diabetes drugs on the recurrence of cardiovascular disease and to examine the mediating role of kidney function in this process.

Chronic obstructive pulmonary disease trajectory: severe exacerbations and dynamic change in health-related quality of life.

BACKGROUND: The life trajectory of chronic obstructive pulmonary disease (COPD) remains unknown. PATIENTS AND METHODS: We collected data from two populations. In the first cohort, we recruited 375 patients with COPD from our hospital, and 1440 repeated assessments of quality of life (QoL) using the European Quality of Life-5 Dimensions questionnaire from 2006 to 2020. We analysed their dynamic changes using the kernel-smoothing method. The second cohort comprised 27 437 patients from the National Health Insurance (NHI) dataset with their first severe acute exacerbations (AEs) requiring hospitalisation from 2008 to 2017 were analysed for their long-term course of AEs. We employed a Cox hazard model to analyse the predictors for mortality or AEs. RESULTS: Cohorts from our hospital and NHI were male predominant (93.6 and 83.5%, respectively). After the first severe AE, the course generally comprised three phases. The first was a 1-year period of elevated QoL, followed by a 2-year prolonged stable phase with a slowly declining QoL. After the second AE, the final phase was characterised by a rapid decline in QoL. For NHI cohort, 2712 died during the 11-year follow-up, the frequency of the first AE was approximately 5 per 10 000 per day. The median time from the first to the second AE was 3 years, which decreased to less than 6 and 3 months from 4th to 5th and 8th to 9th AE, respectively. The frequency of AE was increased 10-fold and 15-fold and risk of subsequent AE was increased 12-fold and 20-fold after the 6th and the 10th AE, relative to the first. Male gender, heart failure comorbidities were associated with the risk of subsequent AE and death. CONCLUSIONS: The life trajectory of COPD includes the accelerated frailty phase, as well as elevated health and prolonged stable phase after the first AE.

A computed tomography radiomics-based model for predicting osteoporosis after breast cancer treatment.

Many treatments against breast cancer decrease the level of estrogen in blood, resulting in bone loss, osteoporosis and fragility fractures in breast cancer patients. This retrospective study aimed to evaluate a novel opportunistic screening for cancer treatment-induced bone loss (CTIBL) in breast cancer patients using CT radiomics. Between 2011 and 2021, a total of 412 female breast cancer patients who received treatment and were followed up in our institution, had post-treatment dual-energy X-ray absorptiometry (DXA) examination of the lumbar vertebrae and had post-treatment chest CT scan that encompassed the L1 vertebra, were included in this study. Results indicated that the T-score of L1 vertebra had a strongly positive correlation with the average T-score of L1-L4 vertebrae derived from DXA (r = 0.91, p < 0.05). On multivariable analysis, four clinical variables (age, body weight, menopause status, aromatase inhibitor exposure duration) and three radiomic features extracted from the region of interest of L1 vertebra (original_firstorder_RootMeanSquared, wavelet.HH_glcm_InverseVariance, and wavelet.LL_glcm_MCC) were selected for building predictive models of L1 T-score and bone health. The predictive model combining clinical and radiomic features showed the greatest adjusted R2 value (0.557), sensitivity (83.6%), specificity (74.2%) and total accuracy (79.4%) compared to models that relied solely on clinical data, radiomic features, or Hounsfield units. In conclusion, the clinical-radiomic predictive model may be used as an opportunistic screening tool for early identification of breast cancer survivors at high risk of CTIBL based on non-contrast CT images of the L1 vertebra, thereby facilitating early intervention for osteoporosis.

Kindergarten Visual-Perceptual and Motor Skills and Behavioral Traits Predict First-Grade Chinese Handwriting Legibility and Speed.

IMPORTANCE: Clarifying the relationship between kindergarteners' characteristics and their future handwriting performance is beneficial for the early detection of children at risk of handwriting difficulties. OBJECTIVE: To determine which visual-perceptual and motor skills and behavioral traits significantly predict kindergartners' Chinese handwriting legibility and speed in the first grade. DESIGN: One-year longitudinal, observational design. SETTING: Kindergarten and elementary schools. PARTICIPANTS: One hundred six kindergarten children (53 boys and 53 girls; ages 5 or 6 yr) were recruited. OUTCOMES AND MEASURES: The participants completed two subtests of the Bruininks-Oseretsky Test of Motor Proficiency-Second Edition, Test of Visual Perceptual Skills-Third Edition, Beery-Buktenica Developmental Test of Visual-Motor Integration (Beery™ VMI), and the Attention-Deficit/Hyperactivity Disorder Test-Chinese Version in kindergarten. Their handwriting legibility (character accuracy and construction) and speed were assessed by investigator-developed Chinese handwriting tests in the first grade. RESULTS: Multivariate regression analyses indicated the independent predictive power of spatial relationships (p = .042) and inattention (p = .004) for character accuracy. Visual-motor integration (VMI; p = .008) and inattention (p = .002) were the key predictors of character construction. Manual dexterity (p = .001) was the only significant predictor of writing speed. CONCLUSIONS AND RELEVANCE: Kindergarteners who perform poorly in spatial relationships, VMI, manual dexterity, and attention are likely to have less legible Chinese handwriting and slow writing speed in first grade. Plain-Language Summary: Children's visual-perceptual and motor skills and behavioral traits in kindergarten can predict their Chinese handwriting legibility and speed in first grade. This study found that kindergarteners who performed poorly in spatial relationships, VMI, manual dexterity, and attention were likely to have less legible Chinese handwriting and slow writing speed in the first grade.

Pendelluft in patients with acute respiratory distress syndrome during trigger and reverse triggering breaths.

Pendelluft, the shift of air from non-dependent to dependent lung regions, is known to occur during active breathing in ventilated patients. However, information about pendelluft in ARDS patients under assisted mechanical ventilation is limited. In this prospectively collected and retrospectively analyzed study, we combined electrical impedance tomography and respiratory mechanics monitoring to quantitatively examine pendelluft in trigger and reverse triggering breaths in 20 mechanically ventilated patients with ARDS during the transition from controlled to active breaths under volume-cycled ventilation. Besides the 10 resting breaths in each patient, 20% of the counted active breaths were selected based on three levels of esophageal pressure swing (∆Pes): low (< 5 cm H2O, breaths = 471), moderate (≥ 5, < 10 cm H2O, breaths = 906), and high effort (≥ 10 cm H2O, breaths = 565). The pendelluft response to breathing efforts was significantly greater in trigger breaths than in reverse triggering breaths (p < 0.0001). Based on the pendelluft-∆Pes slope (ml/cmH2O), there were two distinct patterns of effort-related pendelluft (high vs. low pendelluft group). For trigger breaths, the high pendelluft group (n = 9, slope 0.7-2.4 ml/cmH2O) was significantly associated with lower peak airway/plateau pressure and lower respiratory system/lung elastance than the low pendelluft group (n = 11, slope - 0.1 to 0.3 ml/cmH2O). However, there was no difference in respiratory mechanics between high and low pendelluft groups for reverse triggering breathes. The use of ∆Pes to predict pendelluft was found to have a low positive predictive value.

Effect of atosiban on in vitro fertilization pregnancy outcome among women with endometriosis in presence or absence of adenomyosis.

OBJECTIVE: This study aimed to assess the effect of atosiban on in vitro fertilization (IVF) pregnancy outcome among women with both endometriosis and adenomyosis, and compared it to that of patients with endometriosis but without adenomyosis and that of patients with tubal factor only. MATERIALS AND METHODS: 106 infertile women (176 embryo transfers) from a medical center in Taiwan were included in the analysis, where 34 (54), 34 (66), and 38 (56) cases (embryo transfers) were endometriosis without adenomyosis, endometriosis with adenomyosis, and tubal infertility factor only, respectively. Adenomyosis morphologies were classified using an ultrasound-based classification system. The logistic generalized estimating equation model was used to analyze the association between atosiban use and pregnancy outcomes. RESULTS: The crude pregnancy rates for the endometriosis-only group were significantly higher than those for the endometriosis + adenomyosis group (i.e., biochemical pregnancy: 50.0% versus 29.7%, p = 0.041; ongoing pregnancy: 35.2% versus 16.9%, p = 0.038). Significantly higher chances of biochemical pregnancy and ongoing pregnancy among endometriosis patients without adenomyosis versus those with both endometriosis and adenomyosis were found (odds ratios [95% confidence intervals]: 2.981 [1.307, 6.803]; p = 0.009, 2.694 [1.151, 6.304]; p = 0.022). A significant positive association between atosiban use and biochemical pregnancy existed among endometriosis cases without adenomyosis (a 2.43-fold [1.01, 5.89] increase in successful pregnancy; p<0.05), but not for the other groups. CONCLUSIONS: Poor pregnancy outcomes among adenomyosis-affected women were confirmed. The use of atosiban significantly enhanced IVF pregnancy among endometriosis patients without adenomyosis.

Indoor CO2 monitoring in a surgical intensive care unit under visitation restrictions during the COVID-19 pandemic.

Background: Indoor CO2 concentration is an important metric of indoor air quality (IAQ). The dynamic temporal pattern of CO2 levels in intensive care units (ICUs), where healthcare providers experience high cognitive load and occupant numbers are frequently changing, has not been comprehensively characterized. Objective: We attempted to describe the dynamic change in CO2 levels in the ICU using an Internet of Things-based (IoT-based) monitoring system. Specifically, given that the COVID-19 pandemic makes hospital visitation restrictions necessary worldwide, this study aimed to appraise the impact of visitation restrictions on CO2 levels in the ICU. Methods: Since February 2020, an IoT-based intelligent indoor environment monitoring system has been implemented in a 24-bed university hospital ICU, which is symmetrically divided into areas A and B. One sensor was placed at the workstation of each area for continuous monitoring. The data of CO2 and other pollutants (e.g., PM2.5) measured under standard and restricted visitation policies during the COVID-19 pandemic were retrieved for analysis. Additionally, the CO2 levels were compared between workdays and non-working days and between areas A and B. Results: The median CO2 level (interquartile range [IQR]) was 616 (524-682) ppm, and only 979 (0.34%) data points obtained in area A during standard visitation were ≥ 1,000 ppm. The CO2 concentrations were significantly lower during restricted visitation (median [IQR]: 576 [556-596] ppm) than during standard visitation (628 [602-663] ppm; p < 0.001). The PM2.5 concentrations were significantly lower during restricted visitation (median [IQR]: 1 [0-1] µg/m3) than during standard visitation (2 [1-3] µg/m3; p < 0.001). The daily CO2 and PM2.5 levels were relatively low at night and elevated as the occupant number increased during clinical handover and visitation. The CO2 concentrations were significantly higher in area A (median [IQR]: 681 [653-712] ppm) than in area B (524 [504-547] ppm; p < 0.001). The CO2 concentrations were significantly lower on non-working days (median [IQR]: 606 [587-671] ppm) than on workdays (583 [573-600] ppm; p < 0.001). Conclusion: Our study suggests that visitation restrictions during the COVID-19 pandemic may affect CO2 levels in the ICU. Implantation of the IoT-based IAQ sensing network system may facilitate the monitoring of indoor CO2 levels.

Efficient estimation of a Cox model when integrating the subgroup incidence rate information.

Incidence rates for diseases are widely used in the field of medical research because they lead to clear and simple physical and clinical interpretations. In this study, we propose an efficient estimation method that incorporates auxiliary subgroup information related to the incidence rate into the estimation of the Cox proportional hazard model. The results show that utilizing the incidence rate information improves the efficiency of the estimation of regression parameters based on the double empirical likelihood method compared to that for conventional models that do not incorporation such information. We show that estimators of regression parameters asymptotically follow a multivariate normal distribution with a variance-covariance matrix that can be consistently estimated. Simulation results indicate that the proposed estimators significantly increase efficiency. Finally, an example of the effects of type 2 diabetes on stroke is applied to demonstrate the proposed method.

Feasibility of simultaneous development of laparoscopic and robotic pancreaticoduodenectomy.

Laparoscopic (LPD) and robotic pancreaticoduodenectomy (RPD) are both challenging procedures. The feasibility and safety of simultaneously developing LPD and RPD remain unreported. We retrospectively reviewed the data of patients undergoing LPD or RPD between 2014 and 2021. A total of 114 patients underwent minimally invasive pancreaticoduodenectomy (MIPD): 39 LPDs and 75 RPDs. The learning process of LPD and RPD were similar. The cutoff points of the learning curve were LPD, 13th patient (the 27th patient of MIPD), and RPD, 18th patient (the 31st patient of MIPD) according the cumulative sum analysis of operative time. A decrease in the operative time was associated with the case sequence (p < 0.001) but not with the surgical approach (p = 0.36). The overall surgical outcomes were comparable between both the LPD and RPD groups. When evaluating the learning curve impact on MIPD, LPD had higher major complication (≧ Clavien-Dindo grade III), bile leak and wound infection rates in the pre-learning curve phase than those in the after-learning curve phase, while RPD had similar surgical outcomes between two phases. Simultaneous development of LPD and RPD is feasible and safe for experienced surgeons, with similar learning process and comparable surgical outcomes.

Management of Restenosis after Stenting in Left Main Coronary Artery Disease.

Background: The optimal alternative treatment strategy to coronary artery bypass graft surgery (CABG) for in-stent restenosis (ISR) in left main (LM) coronary artery disease remains uncertain. Methods: We retrospectively screened all intervention reports from an intervention database and extracted those mentioning an LM stent. We then manually confirmed reports involving LM ISR and divided them into two groups, those in which the patient received a new drug-eluting stent (new-DES) strategy, and those in which the patient received a drug-coated balloon (DCB) only. A composite endpoint of major adverse cardiovascular events (MACEs) and each individual endpoint were compared. We also performed a brief analysis of similar designed studies. Results: Between the new-DES (n = 40) and DCB-only (n = 22) groups, during median respective follow-up times of 581.5 and 642.5 days, no significant statistical differences were detected in MACEs (50.0% vs. 50.0%, p = 0.974), cardiovascular death (27.5% vs. 13.6%, p = 0.214), nonfatal myocardial infarction (30.0% vs. 31.8%, p = 0.835), or target lesion revascularization (35.0% vs. 45.5%, p = 0.542). We analyzed four similar studies and found comparable MACE findings (odds ratio: 0.85, 95% CI: 0.44-1.67). Conclusions: Our findings support both DCB angioplasty and repeat DES implantation for LMISR lesions in patients who were clinically judged to be unsuitable for CABG; the treatments achieved comparable clinical results in terms of MACEs in the medium term.

Repurposing nitric oxide donating drugs in cancer therapy through immune modulation.

BACKGROUND: Nitric oxide-releasing drugs are used for cardiovascular diseases; however, their effects on the tumor immune microenvironment are less clear. Therefore, this study explored the impact of nitric oxide donors on tumor progression in immune-competent mice. METHODS: The effects of three different nitric oxide-releasing compounds (SNAP, SNP, and ISMN) on tumor growth were studied in tumor-bearing mouse models. Three mouse tumor models were used: B16F1 melanoma and LL2 lung carcinoma in C57BL/6 mice, CT26 colon cancer in BALB/c mice, and LL2 lung carcinoma in NOD/SCID mice. After nitric oxide treatment, splenic cytokines and lymphocytes were analyzed by cytokine array and flow cytometry, and tumor-infiltrating lymphocytes in the TME were analyzed using flow cytometry and single-cell RNA sequencing. RESULTS: Low doses of three exogenous nitric oxide donors inhibited tumor growth in two immunocompetent mouse models but not in NOD/SCID immunodeficient mice. Low-dose nitric oxide donors increase the levels of splenic cytokines IFN-γ and TNF-α but decrease the levels of cytokines IL-6 and IL-10, suggesting an alteration in Th2 cells. Nitric oxide donors increased the number of CD8+ T cells with activation gene signatures, as indicated by single-cell RNA sequencing. Flow cytometry analysis confirmed an increase in infiltrating CD8+ T cells and dendritic cells. The antitumor effect of nitric oxide donors was abolished by depletion of CD8+ T cells, indicating the requirement for CD8+ T cells. Tumor inhibition correlated with a decrease in a subtype of protumor macrophages and an increase in a subset of Arg1-positive macrophages expressing antitumor gene signatures. The increase in this subset of macrophages was confirmed by flow cytometry analysis. Finally, the combination of low-dose nitric oxide donor and cisplatin induced an additive cancer therapeutic effect in two immunocompetent animal models. The enhanced therapeutic effect was accompanied by an increase in the cells expressing the gene signature of NK cell. CONCLUSIONS: Low concentrations of exogenous nitric oxide donors inhibit tumor growth in vivo by regulating T cells and macrophages. CD8+ T cells are essential for antitumor effects. In addition, low-dose nitric oxide donors may be combined with chemotherapeutic drugs in cancer therapy in the future.

HER2 amplification in colorectal cancer with brain metastasis: A propensity score matching study.

BACKGROUND: The association between human epidermal growth factor receptor-2 (HER2) amplification and brain metastasis (BM) in patients having colorectal cancer (CRC) has been suggested but not yet established. This study investigated the expression patterns of HER2, its association with BM, and its prognostic value in patients having CRC. METHODS: We retrospectively identified 99 patients having metastatic CRC (mCRC) and BM (the BM cohort) and compared them with a cohort of 249 patients having mCRC and without BM (the stage IV cohort) by propensity score matching. Immunohistochemical studies of HER2 on all available paraffin-embedded tumour samples, either from the primary tumour, the metastasis (brain and/or extracranial sites) or both, were performed and analysed. HER2 fluorescent in situ hybridisation was applied when necessary. The expression of HER2 was compared and correlated with survival. RESULTS: HER2 amplifications were detected in 16 (18.4%) of 87 and 9 (3.6%) of 249 patients who had specimens available in the BM and stage IV cohorts, respectively (P < .001). After propensity score matching, HER2 amplification was significantly associated with BM (odds ratio: 5.38, P = .003). HER2 heterogeneity was frequently observed not only at the single tumour level but also in paired tumour samples. A marginally significant longer survival since BM was found in patients having HER2-amplified mCRC than in those without (P = .07). CONCLUSIONS: HER2 amplification was significantly associated with BM in patients having mCRC and might have prognostic value for survival since BM. Given the heterogeneity of HER2 expression, the testing of HER2 status on available tissues from both primary and metastatic tumours should be encouraged.

Lidocaine transdermal patches reduced pain intensity in neuropathic cancer patients already receiving opioid treatment.

BACKGROUND: Limited efficacy has been observed when using opioids to treat neuropathic pain. Lidocaine patches reduce neuropathic pain in postherpetic neuralgia, but their benefits for cancer-related neuropathic pain remain unclear. This study aimed to investigate a treatment for cancer-related neuropathic pain. METHODS: We conducted a prospective, open-label, single-arm study to assess the efficacy and safety of lidocaine transdermal patches in patients experiencing localized, superficial, neuropathic cancer pain. Terminal cancer patients already receiving opioid treatment participated in the 3-day study. The primary endpoint was pain intensity evaluated by the numerical rating scale (NRS). The secondary endpoints were the pain relief score and the quality of analgesic treatment. RESULTS: The results showed a significant difference in the median NRS over 3 days (Kruskal-Wallis test, p < 0.0001). The median NRS pain intensity from Day 1 to Day 3 was 4.0 with 95% C.I. (3.3, 5.0), 3.0 (2.5, 3.5), and 2.6 (2.0, 3.0), respectively. The difference between the median NRS pain intensities of any 2 days was significant (Wilcoxon signed-rank test, p < 0.0001). The generalized estimating equation (GEE) estimation model showed significant differences between the NRS pain intensities on any 2 days. There was no significant difference in the pain relief score or the quality of analgesic treatment. CONCLUSIONS: In this study, the 5% lidocaine transdermal patch reduced the NRS pain intensity in neuropathic cancer patients already receiving opioid treatment. Treatment of localized and superficial neuropathic pain caused by cancer was well tolerated and effective.

Minimally invasive approaches increase postoperative complications in obese patients undergoing pancreaticoduodenectomy during the initial development period: a propensity score matching study.

BACKGROUND: Obesity increases surgical risks in various abdominal surgeries and its impact on open pancreaticoduodenectomy (OPD) and minimally invasive pancreaticoduodenectomy (MIPD) remains unknown. This study aimed to compare the surgical outcomes of OPD and MIPD in obese and non-obese patients by propensity score matching (PSM) analysis during the implementation of MIPD. METHODS: We retrospectively reviewed all pancreaticoduodenectomies from December 2014 to May 2021. Obesity was defined as body mass index > 25 kg/m2 according to World Health Organization International Obesity Task Force. PSM was used to minimize the selection bias of MIPD. RESULTS: Among 462 pancreaticoduodenectomies (339 OPDs, 123 MIPDs), there were 313 patients in the non-obese group (MIPD: 78, OPD: 235) and 149 patients in the obese group (MIPD: 45, OPD: 104). After PSM, there were 70 MIPD/106 OPD patients in the non-obese group and 38 MIPD/54 OPD patients in the obese group. The obese MIPD patients had more fluid collection (36.8% vs 9.8%, p = 0.002), a higher Clavien-Dindo (CD) grade (p = 0.007), more major complications (42.1% vs 14.8%, p = 0.004), and longer operative times (306 min vs 264 min, p < 0.001) than the obese OPD patients. The non-obese MIPD patients had lower CD grades (p = 0.02), longer operative times (294 vs 264 min, p < 0.001), and less blood loss (100 mL vs 200 mL) than the non-obese OPD patients. MIPD was a strong predictor of major complication (CD ≥ 3) in obese patients (odds ratio 3.11, 95% CI: 1.40-6.95, p = 0.005). CONCLUSIONS: Minimally invasive approaches deteriorate the CD grade, fluid collection, and major complications in obese patients undergoing pancreaticoduodenectomy during the initial development period. Non-obese patients may benefit from MIPD over OPD in terms of less blood loss and lower CD grades. The impact of BMI on MIPD should be considered when assessing the surgical risks.

Building nomogram plots for predicting urinary tract infections in children less than three years of age.

BACKGROUND AND PURPOSE: Urinary tract infections (UTIs) are the most common bacterial infection in young children. This study aimed to formulate nomogram plots for clinicians to predict UTIs in children aged <3 years by evaluating the risk factors for UTIs in these children. METHODS: This retrospective study was conducted at a tertiary medical center from December 2017 to November 2020. Children less than three years of age were eligible for the study if they had undergone both urine culture and urinalysis during the study period. Mixed-effects logistic regression models with a stepwise procedure were used to determine the relationship between outcome (positive/negative UTI) and covariates of interest (e.g., weight percentile, laboratory) for each patient. Nomogram plots were constructed on the basis of significant factors. We repeated the analysis thrice to adapt it to three different medical settings: medical centers, regional hospitals, and local clinics. RESULTS: In the medical center setting, the two most significant factors were urine leukocyte count ≥100 (OR =8.87; 95% CI (Confidence Interval), 4.135-19.027) and urine nitrite level (OR =8.809; 95% CI, 5.009-15.489). The two factors showed similar significance at the regional hospital and local clinic settings. Abnormal renal echo findings were positively correlated with UTI in the medical center setting (OR =2.534; 95% CI 1.757-3.655). Three nomogram plots for the prediction of UTIs were drawn for medical centers, regional hospitals, and local clinics. CONCLUSION: Using the three nomogram plots, frontline doctors can formulate the probabilities of pediatric UTIs for better decision-making.

Risk Factors for QT Prolongation in Patients with Chronic Hydroxychloroquine Use.

Background: Hydroxychloroquine is used as an antimalarial and immunomodulator, however it can induce QT prolongation that could potentially lead to fatal arrhythmia. We investigated changes in QT interval in long-term hydroxychloroquine users, and identified possible risk factors associated with significant QTc prolongation. Methods: We retrospectively enrolled 3603 patients who received long-term hydroxychloroquine treatment from 2009 to 2019, of whom 167 had electrocardiography (ECG) results before and during hydroxychloroquine therapy. Baseline characteristics, laboratory data, comorbidities, concurrent medications, and related clinical outcomes were reviewed. Results: Overall, 225 patients (6.2%) died within the study period, with 50 patients (1.4%) continuously receiving hydroxychloroquine treatment until death. Three patients had fatal ventricular arrhythmia. No significant change in corrected QT interval (QTc) was noted before and during hydroxychloroquine treatment (451.1 ± 39.9 ms vs. 456.0 ± 37.3 ms, P = 0.140) in the ECG cohort. Multivariable logistic regression showed that diabetes mellitus [odds ratio (OR): 9.55, 95% confidence interval (CI): 2.02-45.22; P = 0.005] and use of additional QT-prolonging drugs (OR: 2.89, 95% CI: 1.40-5.94; P = 0.004) were independent risk factors for significant QTc prolongation. Multiple linear regression, with the number of QT-prolonging drugs and comorbidities including diabetes mellitus, hypertension, and atrial fibrillation as explanatory variables, predicted QTc response (adjusted R2 = 0.385) in the long-term hydroxychloroquine users. Conclusions: In the long-term users of hydroxychloroquine, those with diabetes mellitus and concurrent use of additional QT-prolonging drugs were at a higher risk of significant QTc prolongation. Baseline QTc interval, concurrent medications, and comorbidities predicted QTc response.

Evaluating response-adaptive randomization procedures for recurrent events and terminal event data using a composite endpoint.

Recurrent event and terminal event data commonly arise in clinical and observational studies. To evaluate the efficacy of a treatment effect for both types of events, a composite endpoint has been used as a possible assessment, particularly when faced with high costs and a longer follow-up study. To model recurrent event processes complicated by the existence of a terminal event, joint frailty modeling has been typically employed. In this study, the objective was to develop some target-driven response adaptive randomization strategies using a composite endpoint based on joint frailty modeling. We first implemented a balanced randomized design and then investigated the response adaptive randomization. The former is intuitively first adopted while the latter is expected to be desirable and ethical in terms of allocating more subjects to the more effective treatment. The results show that the proposed procedures using a composite endpoint are capable of reducing the number of trial participants who receive inferior treatment while simultaneously reaching a desired optimal target as compared to a balanced randomized design. The R shiny application for calculating the sample size and allocation probabilities is also available. Finally, two clinical trials were used as pilot datasets to introduce the proposed procedures.

Integration of an Intensive Care Unit Visualization Dashboard (i-Dashboard) as a Platform to Facilitate Multidisciplinary Rounds: Cluster-Randomized Controlled Trial.

BACKGROUND: Multidisciplinary rounds (MDRs) are scheduled, patient-focused communication mechanisms among multidisciplinary providers in the intensive care unit (ICU). OBJECTIVE: i-Dashboard is a custom-developed visualization dashboard that supports (1) key information retrieval and reorganization, (2) time-series data, and (3) display on large touch screens during MDRs. This study aimed to evaluate the performance, including the efficiency of prerounding data gathering, communication accuracy, and information exchange, and clinical satisfaction of integrating i-Dashboard as a platform to facilitate MDRs. METHODS: A cluster-randomized controlled trial was performed in 2 surgical ICUs at a university hospital. Study participants included all multidisciplinary care team members. The performance and clinical satisfaction of i-Dashboard during MDRs were compared with those of the established electronic medical record (EMR) through direct observation and questionnaire surveys. RESULTS: Between April 26 and July 18, 2021, a total of 78 and 91 MDRs were performed with the established EMR and i-Dashboard, respectively. For prerounding data gathering, the median time was 10.4 (IQR 9.1-11.8) and 4.6 (IQR 3.5-5.8) minutes using the established EMR and i-Dashboard (P<.001), respectively. During MDRs, data misrepresentations were significantly less frequent with i-Dashboard (median 0, IQR 0-0) than with the established EMR (4, IQR 3-5; P<.001). Further, effective recommendations were significantly more frequent with i-Dashboard than with the established EMR (P<.001). The questionnaire results revealed that participants favored using i-Dashboard in association with the enhancement of care plan development and team participation during MDRs. CONCLUSIONS: i-Dashboard increases efficiency in data gathering. Displaying i-Dashboard on large touch screens in MDRs may enhance communication accuracy, information exchange, and clinical satisfaction. The design concepts of i-Dashboard may help develop visualization dashboards that are more applicable for ICU MDRs. TRIAL REGISTRATION: ClinicalTrials.gov NCT04845698; https://clinicaltrials.gov/ct2/show/NCT04845698.

The Proper Use and Reporting of Survival Analysis and Cox Regression.

BACKGROUND: Survival analyses are heavily used to analyze data in which the time to event is of interest. The purpose of this paper is to introduce some fundamental concepts for survival analyses in medical studies. METHODS: We comprehensively review current survival methodologies, such as the nonparametric Kaplan-Meier method used to estimate survival probability, the log-rank test, one of the most popular tests for comparing survival curves, and the Cox proportional hazard model, which is used for building the relationship between survival time and specific risk factors. More advanced methods, such as time-dependent receiver operating characteristic, restricted mean survival time, and time-dependent covariates are also introduced. RESULTS: This tutorial is aimed toward covering the basics of survival analysis. We used a neurosurgical case series of surgically treated brain metastases from non-small cell lung cancer patients as an example. The survival time was defined from the date of craniotomy to the date of patient death. CONCLUSIONS: This work is an attempt to encourage more investigators/medical practitioners to use survival analyses appropriately in medical research. We highlight some statistical issues, make recommendations, and provide more advanced survival modeling in this aspect.

Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses.

Recurrent event responses are frequently encountered during clinical trials of treatments for certain diseases, such as asthma. The recurrence rates of different treatments are often compared by applying the negative binomial model. In addition, a balanced treatment-allocation procedure that assigns the same number of patients to each treatment is often applied. Recently, a response-adaptive treatment-allocation procedure has been developed for trials with recurrent event data, and has been shown to be superior to balanced treatment allocation. However, this response-adaptive treatment allocation procedure is only applicable for the comparison of two treatments. In this paper, we derive response-adaptive treatment-allocation procedures for trials which comprise several treatments. As pairwise comparisons and multiple comparisons with a control are two common multiple-testing scenarios in trials with more than two treatments, corresponding treatment-allocation procedures for these scenarios are also investigated. The redesign of two clinical studies illustrates the clinical benefits that would be obtained from our proposed response-adaptive treatment-allocation procedures.