RESUMEN

BACKGROUND: Predicting the risk of complications is critical in metabolic and bariatric surgery (MBS). OBJECTIVES: To develop machine learning (ML) models to predict serious postoperative complications of MBS and evaluate racial fairness of the models. SETTING: Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) national database, United States. METHODS: We developed logistic regression, random forest (RF), gradient-boosted tree (GBT), and XGBoost model using the MBSAQIP Participant Use Data File from 2016 to 2020. To address the class imbalance, we randomly undersampled the complication-negative class to match the complication-positive class. Model performance was evaluated using the area under the receiver operating characteristic curve (AUROC), precision, recall, and F1 score. Fairness across White and non-White patient groups was assessed using equal opportunity difference and disparate impact metrics. RESULTS: A total of 40,858 patients were included after undersampling the complication-negative class. The XGBoost model was the best-performing model in terms of AUROC; however, the difference was not statistically significant. While the F1 score and precision did not vary significantly across models, the RF exhibited better recall compared to the logistic regression. Surgery type was the most important feature to predict complications, followed by operative time. The logistic regression model had the best fairness metrics for race. CONCLUSIONS: The XGBoost model achieved the highest AUROC, albeit without a statistically significant difference. The RF may be useful when recall is the primary concern. Undersampling of the privileged group may improve the fairness of boosted tree models.

RESUMEN

Background: Self-management among stroke survivors is effective in mitigating the risk of a recurrent stroke. This study aims to determine the prevalence of self-management and its associated factors among stroke survivors in the United States. Methods: We analyzed the Behavioral Risk Factor Surveillance System (BRFSS) data from 2016 to 2021, a nationally representative health survey. A new outcome variable, stroke self-management (SSM = low or SSM = high), was defined based on five AHA guideline-recommended self-management practices, including regular physical activity, maintaining body mass index, regular doctor checkups, smoking cessation, and limiting alcohol consumption. A low level of self-management was defined as adherence to three or fewer practices. Results: Among 95,645 American stroke survivors, 46.7% have low self-management. Stroke survivors aged less than 65 are less likely to self-manage (low SSM: 56.8% vs. 42.3%; p < 0.0001). Blacks are less likely to self-manage than non-Hispanic Whites (low SSM: 52.0% vs. 48.6%; p < 0.0001); however, when adjusted for demographic and clinical factors, the difference was dissipated. Higher education and income levels are associated with better self-management (OR: 2.49, [95%CI: 2.16-2.88] and OR: 1.45, [95%CI: 1.26-1.67], respectively). Further sub-analysis revealed that women are less likely to be physically active (OR: 0.88, [95%CI: 0.81-0.95]) but more likely to manage their alcohol consumption (OR: 1.57, [95%CI: 1.29-1.92]). Stroke survivors residing in the Stroke Belt did not self-manage as well as their counterparts (low-SSM: 53.1% vs. 48.0%; p < 0.001). Conclusions: The substantial diversity in self-management practices emphasizes the need for tailored interventions. Particularly, multi-modal interventions should be targeted toward specific populations, including younger stroke survivors with lower education and income.

RESUMEN

After liver transplantation (LTx), the most common cause of death in the long-term is de-novo malignancy (DNM). The aim is to review the gender differences in the standardized incidence ratio (SIR) of DNM within the same geographical locations. METHODS: Four studies were identified comparing post-LTx SIR between males and females. RESULTS: From 6663 males and 2780 females LTx recipients, the mean SIR from each of the four studies for males is 2.8, 2.0, 1.94, and 3.4, and 3.5, 1.3, 1.95, and 2.3 for females. On meta-analysis using a random effect model for each gender group. No significant difference was revealed after logarithmic transformation and subgroup meta-analysis. Overall mean SIR with 95% Confidence Interval (CI) for males is 2.53 (95% CI 1.65-3.88) and 2.3 (1.25-4.24) for females. lung malignancy, 1.97 (1.14-3.41) for males and 2.65 (0.67-10.47) for females. For colorectal malignancy, the combined SIR for males is 1.98 (0.58-6.78) and 1.85 (1.02-3.37) for females. The SIR for female gender-specific malignancies; SIR for breast is 1.1 ± 4.4, cervix 2.9 ± 1.9, uterus 2.8, and ovarian 0.7, and for males, testis 1.6 ± 1.3, prostate 1.2 ± 0.4. However, rare malignancies, male breast cancers (n = 1, SIR, 22.6), and Kaposi's sarcoma, in males (n = 6) and in females (n = 1), had SIR 120. and 212.7, respectively. CONCLUSION: Overall, there are no statistical differences between male and female DNM. Female-specific cervix, uterus, ovarian, and male-specific testis and prostate have similar SIR. Rare malignancies have very high SIR.

Asunto(s)

RESUMEN

BACKGROUND: Patients are often advised to keep the initial postoperative dressings dry and undisturbed for 24 to 72 hours. However, these requirements may result in significant disruption of patients' activities of daily living, such as bathing, leisure, and exercise. OBJECTIVE: Compare standard management of keeping wounds dry and covered (48 hours) with early (6 hours) postoperative water exposure. METHODS: Investigator-blinded, randomized (1:1), controlled trial evaluating rate of infection and additional outcomes of interest. RESULTS: Overall, 437 patients were randomized to either the early (6-hour) water exposure (n = 218) intervention group or the standard cohort (n = 219). The incidence of culture-proven infection in the intervention group (1.8%) was similar to the standard group (1.4%) (P > .99). There was also no difference in rates of bleeding or bruising. Scar assessment using the Patient and Observer Scar Assessment Scale revealed similar scar outcomes. LIMITATIONS: Single site, academic center. CONCLUSION: Surgical wounds can be allowed to get wet in the immediate postoperative period with no increased incidence of infection or other complications and with similar cosmesis.

RESUMEN

Hyponatremia, though common in women with preeclampsia, has not been well studied. Our primary objectives are to assess the clinical characteristics and emergency therapy applied to subjects diagnosed with preeclampsia. We hypothesize that hyponatremia present in preeclamptic patients with severe features is associated with greater use of emergency hypertensives, antenatal steroids, and cesarean delivery. This is a retrospective descriptive study utilizing an electronic health record database (TriNetX ®). We collected and evaluated the following data of subjects aged 15 to 54 years with preeclampsia with severe features diagnosis: demographics, diagnostic codes, medication codes, procedure codes, deaths, and laboratory results. A total of 2,901 subjects [215 (7.4%)] with a sodium level below 134 mEq/L and [2686 (92.6%)] with a sodium level above 135 mEq/L were included. A higher proportion of subjects in the below 134 sodium group received emergency antihypertensives [165 (76.7%) versus 1811 (67.4%), p = 0.01], antenatal steroids [103 (47.9%) versus 953 (35.5%), p = 0.001], and cesarean section [27 (12.6%) versus 97 (3.6%), p = <0.001]. We found that hyponatremia may be associated with emergency antihypertensive use, antenatal steroid use, and cesarean section in patients with preeclampsia with severe features. Future research is needed to determine if routine sodium levels assessed in preeclamptic subjects with severe features identify subjects at risk of receiving these treatments.

Asunto(s)

RESUMEN

Importance: Critically ill children with pre-existing mental health conditions may have an increased risk of poor health outcomes. Objective: We aimed to evaluate if pre-existing mental health conditions in critically ill pediatric patients would be associated with worse clinical outcomes, compared to children with no documented mental health conditions. Methods: This retrospective observational cohort study utilized the TriNetX electronic health record database of critically ill subjects aged 12-18 years. Data were analyzed for demographics, pre-existing conditions, diagnostic, medication, procedural codes, and mortality. Results: From a dataset of 102 027 critically ill children, we analyzed 1999 subjects (284 [14.2%] with a pre-existing mental health condition and 1715 [85.8%] with no pre-existing mental health condition). Multivariable analysis demonstrated that death within one year was associated with the presence of pre-existing mental health conditions (odds ratio 8.97 [3.48-23.15], P < 0.001), even after controlling for the presence of a complex chronic condition. Interpretation: The present study demonstrates that the presence of pre-existing mental health conditions was associated with higher odds of death within 1 year after receiving critical care. However, the confidence interval was wide and hence, the findings are inconclusive. Future studies with a larger sample size may be necessary to evaluate the true long-term impact of children with pre-existing mental health conditions who require critical care services.

RESUMEN

This work concerns the effective personalized prediction of longitudinal biomarker trajectory, motivated by a study of cancer targeted therapy for patients with chronic myeloid leukemia (CML). Continuous monitoring with a confirmed biomarker of residual disease is a key component of CML management for early prediction of disease relapse. However, the longitudinal biomarker measurements have highly heterogeneous trajectories between subjects (patients) with various shapes and patterns. It is believed that the trajectory is clinically related to the development of treatment resistance, but there was limited knowledge about the underlying mechanism. To address the challenge, we propose a novel Bayesian approach to modeling the distribution of subject-specific longitudinal trajectories. It exploits flexible Bayesian learning to accommodate complex changing patterns over time and non-linear covariate effects, and allows for real-time prediction of both in-sample and out-of-sample subjects. The generated information can help make clinical decisions, and consequently enhance the personalized treatment management of precision medicine.

RESUMEN

Background Inappropriate triage of critically ill pediatric patients can lead to poor outcomes and suboptimal resource utilization. This study aimed to determine and describe the demographic characteristics, diagnostic categories, and timing of unplanned upgrades to the pediatric intensive care unit (PICU) that required short (< 24 hours of care) and extended (≥ 24 hours of care) stays. In this article, we hypothesized that we will identify demographic characteristics, diagnostic categories, and frequent upgrade timing periods in both of these groups that may justify more optimal triage strategies. Methods This was a single-institution retrospective study of unplanned PICU upgrades between 2012 and 2018. The cohort was divided into two groups (short and extended PICU stay). We reviewed the electronic health record and evaluated for: demographics, mortality scores, upgrade timing (7a-3p, 3p-11p, 11p-7a), lead-in time (time spent on clinical service before upgrade), patient origin, and diagnostic category. Results Four hundred and ninety-eight patients' unplanned PICU upgrades were included. One hundred and nine patients (21.9%) required a short and 389 (78.1%) required an extended PICU stay. Lead-in time (mean, standard deviation) was significantly lower in the short group (0.65 ± 0.66 vs. 0.91 ± 0.82) ( p = 0.0006). A higher proportion of short group patients (59, 46.1%) were upgraded during the 3p-11p shift ( p = 0.0077). Conclusion We found that approximately one-fifth of PICU upgrades required less than 24 hours of critical care services, were more likely to be transferred between 3p-11p, and had lower lead-in times. In institutions where ill pediatric patients can be admitted to either a PICU or a monitored step-down unit, this study highlights quality improvement opportunities, particularly in recognizing which pediatric patients truly need critical care.

RESUMEN

PURPOSE: Higher pre-diagnosis physical activity (PA) is associated with lower all-cause mortality in breast cancer (BCa) patients. However, the association with pathological complete response (pCR) is unclear. We investigated the association between pre-diagnosis PA level and chemotherapy completion, dose delay, and pCR in BCa patients receiving neoadjuvant chemotherapy (NACT). METHODS: 180 stage I-III BCa patients receiving NACT (mean [SD] age of diagnosis: 60.8 [8.8] years) in the Sister Study were included. Self-reported recreational and total PA levels were converted to metabolic equivalent of task-hours per week (MET-hrs/wk). The pCR was defined as no invasive or in situ residual in breast or lymph node (ypT0 ypN0). Multivariable logistic regression analyses estimated odds ratios (ORs) and 95% confidence intervals (CIs) for treatment outcomes. RESULTS: In this sample, 45 (25.0%) BCa patients achieved pCR. Higher pre-diagnosis recreational PA was not associated with lower likelihood of chemotherapy completion (highest vs. lowest tertile: OR = 0.87, 95% CI = 0.30-2.56; Ptrend = 0.84), greater dose delay (OR = 1.45, 95% CI = 0.54-3.92; Ptrend = 0.46), or greater odds of pCR (OR = 1.28, 95% CI = 0.49-3.34; Ptrend = 0.44). Associations were similar for pre-diagnosis total PA. Meeting the recommended level of recreational PA was not associated with pCR overall (≥ 7.5 vs. < 7.5 MET-hrs/wk: OR = 1.33, 95% CI = 0.59-3.01). CONCLUSIONS: Although small sample size and limited information on exercise closer to time of diagnosis limit interpretation, pre-diagnosis PA was not convincingly associated with treatment tolerance or treatment efficacy in BCa patients receiving NACT. Future investigations are needed to better understand the impact of pre-diagnosis PA on BCa treatment.

Asunto(s)

RESUMEN

Objective: The COVID-19 pandemic placed extreme burden on hospitals, while opioid overdose is another challenging public health issue. This study aimed to examine the trends and outcomes of opioid overdose hospitalizations in Pennsylvania during 2018 to 2021. Design: We identified opioid overdose hospitalizations in the state of Pennsylvania using the state-wide hospital discharge database (PHC4) 2018 to 2021. We examined the number of opioid overdose hospitalizations, the corresponding mortality and discharges against medical advice comparing the pre-COVID period (2018-2019) and the COVID period (2020-2021). We also assessed what patient and hospital characteristics were associated with in-hospital death or leaving against medical advice. Results: A total of 13 446 opioid-related hospitalizations were identified in 2018 to 2021. Compared to pre-pandemic, a higher percentage of cases involving synthetics (17.0%vs 10.3%, P < .0001) were observed during COVID. After controlling for covariates, there was no significant difference in opioid overdose in-hospital deaths in the years 2020 to 2021 compared to 2018 to 2019 (OR = 0.846, 95% CI: 0.71-1.01, P = .065). The COVID period was significantly associated with more leaving against medical advice compared to years 2018 to 2019 (OR = 1.265, 95% CI: 1.11-1.44, P = .0003). Compared to commercial insurance, Medicaid insurance was associated with higher odds of both in-hospital death (OR = 1.383, 95% CI: 1.06-1.81, P = .0176) and leaving against medical advice (OR = 1.903, 95% CI: 1.56-2.33, P < .0001). Conclusion: There were no substantial changes in the number of overall opioid overdose cases and deaths at hospitals following the outbreak of COVID-19 in Pennsylvania. This observation suggests that an increased number of patients may have succumbed to overdoses outside of hospital settings, possibly due to a higher severity of overdoses. Further, we found that patients were more likely to leave against medical advice during the COVID-19 pandemic.

RESUMEN

BACKGROUND: Predicting operative time is essential for scheduling surgery and managing the operating room. This study aimed to develop machine learning (ML) models to predict the operative time for metabolic and bariatric surgery (MBS) and to compare each model. METHODS: The authors used the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program database between 2016 and 2020 to develop ML models, including linear regression, random forest, support vector machine, gradient-boosted tree, and XGBoost model. Patient characteristics and surgical features were included as variables in the model. The authors used the mean absolute error, root mean square error, and R 2 score to evaluate model performance. The authors identified the 10 most important variables in the best-performing model using the Shapley Additive exPlanations algorithm. RESULTS: In total, 668 723 patients were included in the study. The XGBoost model outperformed the other ML models, with the lowest root mean square error and highest R 2 score. Random forest performed better than linear regression. The relative performance of the ML algorithms remained consistent across the models, regardless of the surgery type. The surgery type and surgical approach were the most important features to predict the operative time; specifically, sleeve gastrectomy (vs. Roux-en-Y gastric bypass) and the laparoscopic approach (vs. robotic-assisted approach) were associated with a shorter operative time. CONCLUSIONS: The XGBoost model best predicted the operative time for MBS among the ML models examined. Our findings can be useful in managing the operating room scheduling and in developing software tools to predict the operative times of MBS in clinical settings.

Asunto(s)

RESUMEN

BACKGROUND: While the efficacy and safety of zanubrutinib have been established in relapsed or refractory chronic lymphocytic leukemia, the evidence on cost effectiveness is still lacking. OBJECTIVE: We aimed to evaluate the cost effectiveness of zanubrutinib versus ibrutinib in relapsed or refractory chronic lymphocytic leukemia from the commercial payer perspective in the USA. METHODS: A partitioned survival model was developed based on survival curves from the phase III ALPINE trial. We reconstructed patient-level data for each curve and conducted a parametric estimation to incorporate long-term clinical outcomes and treatment costs into the model. Medical costs and utilities were obtained from public data and previous cost-effectiveness studies. A discount rate of 3.0% per annum was applied and costs were adjusted to 2023 US dollars. The incremental cost-effectiveness ratio was calculated by dividing the incremental costs of zanubrutinib over ibrutinib by the incremental life-years or quality-adjusted life-years. Deterministic and probabilistic sensitivity analyses were performed to examine the robustness of the results. RESULTS: Over a 10-year analysis period, the incremental cost-effectiveness ratio of zanubrutinib versus ibrutinib was $91,260 per life-year gained and $120,634 per quality-adjusted life-year gained, making it cost effective within a threshold of $150,000 per quality-adjusted life-year gained. The incremental cost-effectiveness ratio was most sensitive to drug acquisition costs and progression-free survival distributions, and the probability of zanubrutinib being cost effective was approximately 52.8%, with a 30.0% likelihood of dominance. CONCLUSIONS: Zanubrutinib is likely to be cost effective versus ibrutinib in relapsed or refractory chronic lymphocytic leukemia in the USA, but the high threshold should be noted. Our findings may provide a basis for pricing strategy and reimbursement decisions for zanubrutinib.

Asunto(s)

RESUMEN

BACKGROUND: This study examined the trends and patterns of opioid and non-opioid pharmacotherapy use among a large national sample of privately insured pediatric patients with cancer in the United States. MATERIALS AND METHODS: We identified pediatric (aged < 21) patients diagnosed with central nervous system (CNS), lymphoma, gonadal, leukemia, or bone cancer from MarketScan data 2005-2019. We examined the proportion of patients who filled a prescription for the following 5 types of pharmacotherapy: opioid, anticonvulsant, non-steroidal anti-inflammatory drug (NSAID), antidepressant, and muscle relaxant during active cancer treatment. We assessed the trends and patterns in pharmacotherapy using multivariable logistic regressions. RESULTS: Among 4174 patients included, 2979 (71%) had an opioid prescription; 746 (18%), 384 (9%), 202 (5%), and 169 (4%) had anticonvulsant, NSAID, antidepressant and muscle relaxant prescriptions, respectively. Multivariable logistic regression showed a nonlinear trend in the use of opioids among pediatric patients with cancer over time such that use slightly increased until 2012 (OR of 1.40 [95% CI, 1.12-1.73] for 2012 vs. 2006) but then decreased thereafter (OR of 0.51 [0.37-0.68] for 2018 vs. 2012). The use of anticonvulsants, NSAIDs, and muscle relaxants increased significantly linearly over time (all P < .005). CONCLUSION: There has been a downward trend in the use of opioids in recent years among pediatric patients with cancer and an upward trend in the use of non-opioid pharmacotherapy for pain management potentially as an alternative to opioids.

Asunto(s)

RESUMEN

Quantifying drug potency, which requires an accurate estimation of dose-response relationship, is essential for drug development in biomedical research and life sciences. However, the standard estimation procedure of the median-effect equation to describe the dose-response curve is vulnerable to extreme observations in common experimental data. To facilitate appropriate statistical inference, many powerful estimation tools have been developed in R, including various dose-response packages based on the nonlinear least squares method with different optimization strategies. Recently, beta regression-based methods have also been introduced in estimation of the median-effect equation. In theory, they can overcome nonnormality, heteroscedasticity, and asymmetry and accommodate flexible robust frameworks and coefficients penalization. To identify a reliable estimation method(s) to estimate dose-response curves even with extreme observations, we conducted a comparative study to review 14 different tools in R and examine their robustness and efficiency via Monte Carlo simulation under a list of comprehensive scenarios. The simulation results demonstrate that penalized beta regression using the mgcv package outperforms other methods in terms of stable, accurate estimation, and reliable uncertainty quantification.

Asunto(s)

RESUMEN

OBJECTIVE: Unruptured, wide-necked middle cerebral artery (WN-MCA) aneurysms have traditionally been considered ideal candidates for microsurgery (MS), although endovascular treatment (EVT) has dramatically increased in popularity with the advent of novel devices such as intrasaccular flow disruptors. The purpose of this study was to evaluate the safety and efficacy of MS versus EVT for unruptured WN-MCA aneurysms. METHODS: The NeuroVascular Quality Initiative Quality Outcomes Database (NVQI-QOD) Cerebral Aneurysm Registry, a multiinstitutional, prospectively collected procedural database, was queried for cases of unruptured WN-MCA aneurysms treated with MS or EVT between 2015 and 2022. A wide neck was defined as an aneurysm neck ≥ 4 mm or a dome/neck ratio ≤ 2. Demographics and aneurysm characteristics were queried. Propensity score matching (PSM) was utilized to match aneurysm size, number of aneurysms treated, patient age, and aneurysm status. Safety outcomes were evaluated including intraoperative and postoperative complication rates. Aneurysm occlusion status and clinical outcomes using the modified Rankin Scale (mRS) score at discharge and the last follow-up were also assessed. RESULTS: Of 671 unruptured MCA aneurysms, 319 were wide necked. Thirty cases were excluded, as the aneurysm had been previously treated. Two hundred eighty-nine operations (203 EVT, 86 MS) in 282 patients satisfied inclusion criteria. After PSM, there were 86 operations in each group for analysis. The mean aneurysm width was 5.0 (EVT) versus 4.9 mm (MS; p = 0.285). Safety data showed similar intraoperative (7.0% EVT vs 3.5% MS, p = 0.496) and postoperative (4.7% vs 7%, p = 0.746) complication rates. The MS patients were more likely to have complete aneurysm occlusion at discharge (90.4% vs 58.8%, p < 0.001). In a limited subset of patients (52.9%) for whom outcome data were available, the EVT patients were more likely to have an mRS score 0 at discharge (50/59 [84.7%] vs 29/54 [53.7%], p < 0.0003] and at the last follow-up (36/55 [65.5%] vs 13/36 [36.1%], p = 0.006). CONCLUSIONS: This study describes a large, modern cohort of propensity score-matched patients who underwent treatment of unruptured WN-MCA aneurysms. Safety data on intraoperative and postoperative complication rates were similar in both treatment groups. MS was more likely to result in complete aneurysm occlusion at discharge. In a subset of patients with available outcome data, EVT was associated with better functional outcomes at discharge and the last follow-up. Given the lack of complete follow-up data and rates of retreatment, these results should be interpreted cautiously.

Asunto(s)

RESUMEN

REAP-2 is an interactive dose-response curve estimation tool for Robust and Efficient Assessment of drug Potency. It provides user-friendly dose-response curve estimation for in vitro studies and conducts statistical testing for model comparisons with a redesigned user interface. We also make a major update of the underlying estimation method with penalized beta regression, which demonstrates great reliability and accuracy in dose estimation and uncertainty quantification. In this note, we describe the method and implementation of REAP-2 with a highlight on potency estimation and drug comparison.

RESUMEN

BACKGROUND/OBJECTIVES: There is limited research on the associated immediate and long-term outcomes of postpartum hemorrhage. Mothers with a pre-existing psychiatric disease prior to delivery may be especially vulnerable to postpartum hemorrhage outcomes but little is known on this topic. Barriers to studying this population exist and add to knowledge gaps. The goal of this study is to determine the clinical characteristics and frequency of complications within 1 year of a postpartum hemorrhage diagnosis and the psychiatric sequelae within 7 days of a postpartum hemorrhage diagnosis in mothers with a pre-existing mental health diagnosis prior to delivery versus those without. METHODS/DESIGN: This is a multicenter retrospective observational cohort study using TriNetX, a de-identified electronic health record database. The following electronic health record data were collected and evaluated in postpartum females who were billed for either a vaginal or cesarean delivery: age, race, ethnicity, diagnostic codes, medication codes, and number of deaths. RESULTS: We included 10,649 subjects (6994 (65.7%) no mental health diagnosis and 3655 (34.3%) pre-existing mental health diagnosis). Haloperidol administration (118 (3.2%) versus 129 (1.8%), p < 0.001) was more prevalent in subjects with a pre-existing mental health diagnosis. Adjusting for demographics, pre-existing mental health diagnoses were associated with complications within 1 year after postpartum hemorrhage diagnosis (OR = 1.39, 95% CI: 1.26-1.52, p < 0.001). CONCLUSION: Having a mental health disorder history is associated with a higher odds of developing subsequent complications within 1 year of postpartum hemorrhage diagnosis. Mothers with a pre-existing mental health disorder have a significantly higher frequency of certain severe postpartum hemorrhage sequelae, including acute respiratory distress syndrome, retained placenta, sickle cell crisis, and need for mechanical ventilation/tracheostomy up to 1 year after delivery. Medications such as haloperidol were ordered more frequently within 7 days of a postpartum hemorrhage diagnosis in these mothers as well. Further research is needed to understand and manage the unique consequences of postpartum hemorrhage in this vulnerable maternal population.

Asunto(s)

RESUMEN

ABSTRACT: COVID-19 has led to marked increases in healthcare worker distress. Studies of these phenomena are often limited to a particular element of distress or a specific subset of healthcare workers. We administered the Moral Injury Symptom Scale for Healthcare Professionals, Copenhagen Burnout Inventory, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7 via online survey to 17,000 employees of a large academic medical center between December 2021 and February 2022. A total of 1945 participants completed the survey. Across all roles, the prevalence of moral injury, burnout, depression, and anxiety were 40.9%, 35.3%-60.6%, 25.4%, and 24.8%, respectively. Furthermore, 8.1% had been bothered by thoughts that they would be better off dead or of hurting themselves for "several days" or more frequently. Healthcare workers across all roles and practice settings are experiencing unsustainable levels of distress, with 1 in 12 regularly experiencing thoughts of self-harm.

Asunto(s)

RESUMEN

Cannabigerol (CBG), derived from the cannabis plant, acts as an acute analgesic in a model of cisplatin-induced peripheral neuropathy (CIPN) in mice. There are no curative, long-lasting treatments for CIPN available to humans. We investigated the ability of chronic CBG to alleviate mechanical hypersensitivity due to CIPN in mice by measuring responses to 7 and 14 days of daily CBG. We found that CBG treatment (i.p.) for 7 and 14 consecutive days significantly reduced mechanical hypersensitivity in male and female mice with CIPN and reduced pain sensitivity up to 60-70% of baseline levels (p < 0.001 for all), 24 h after the last injection. Additionally, we found that daily treatment with CBG did not evoke tolerance and did not incur significant weight change or adverse events. The efficacy of CBG was independent of the estrous cycle phase. Therefore, chronic CBG administration can provide at least 24 h of antinociceptive effect in mice. These findings support the study of CBG as a long-lasting neuropathic pain therapy, which acts without tolerance in both males and females.

RESUMEN

BACKGROUND: Chronic levels of inflammation are associated with higher risk of many chronic diseases. Physical activity (PA) lowers the risk of cancer, cardiovascular disease (CVD), diabetes and others. One mechanism for PA-induced protection may be through the immune system. We investigated the association between leisure-time PA and peripheral immune cell populations in a large nationally representative sample of the US general population. METHODS: A total of 17,093 participants [mean (SE) age of 41.6 (0.3) years] of the National Health and Nutrition Examination Survey 1999-2018 were included. Self-reported leisure-time PA was converted to metabolic equivalent of task hours per week (MET-hrs/wk). White blood cell (WBC) count, WBC ratios, and platelet count were derived. Multivariable linear regression analyses were used to estimate associations between leisure-time PA level and peripheral immune cell populations. Multivariable logistic regression analyses were used to estimate associations between leisure-time PA and metrics of WBC count and neutrophil-to-lymphocyte ratio (NLR) which may predict mortality. RESULTS: A higher leisure-time PA level was associated with a lower WBC count (> 14.0 vs. < 1.2 MET-hrs/wk adjusted mean (95% confidence interval [CI]): 7.12 (6.86, 7.38) vs. 7.38 (7.12, 7.64) 1000 cells/µL, Ptrend < 0.001) and a lower NLR (> 14.0 vs. < 1.2 MET-hrs/wk adjusted mean (95% CI) 2.04 (1.90, 2.18) vs. 2.13 (1.99, 2.28), Ptrend = 0.007). Leisure-time PA level was not associated with lymphocyte-to-monocyte ratio (LMR; Ptrend = 0.25) or platelet-to-lymphocyte ratio (PLR; Ptrend = 0.69). Compared to the lowest leisure-time PA level (< 1.2 MET-hrs/wk), the highest leisure-time PA level (≥ 14.0 MET-hrs/wk) was associated with a lower probability of a high WBC count (> 8.1 × 109 cells/L; odds ratio [OR] = 0.76, 95% CI = 0.66-0.88) and high NLR (> 2.68; OR = 0.84, 95% CI = 0.72-0.99), which may predict CVD and all-cause mortality. The highest leisure-time PA level also linked to a lower probability of a high WBC count (≥ 8.3 × 109 cells/L; OR = 0.76, 95% CI = 0.66-0.88), which may predict cancer mortality. CONCLUSIONS: We observed an inverse association between leisure-time PA level, WBC count, and NLR, particularly for neutrophil levels. These results suggest that participants at higher levels of leisure-time PA may have lower levels of inflammation, which may be important for future chronic disease outcomes.