Assessing Loneliness and Other Types of Emotional Distress among Practicing Physicians

Introduction. Loneliness has been linked to clinician burnout and other types of emotional distress. Research assessing the prevalence of loneliness among physicians is growing. Little is known, however, about how loneliness relates to other types of emotional distress among practicing physicians. The objectives of the study were to determine the prevalence of loneliness, and to explore the relationship between loneliness, burnout, depressive symptoms, and suicidal ideation among active member physicians of the Medical Society of Sedgwick County (MSSC). Methods. The study involved a convenience sample of 197 practicing physicians who were active members of the MSSC. The 3-item University of California, Los Angeles Loneliness Scale, the Abbreviated Maslach Burnout Inventory, and 2-item Primary Care Evaluation of Mental Disorders Patient Health Questionnaire were used to measure prevalence of loneliness, manifestations of burnout, and symptoms of depression, respectively. Results. Using an email survey, 442 practicing physicians received an invitation to participate; 197 (44%) completed the survey. The prevalence of loneliness was 43%. Loneliness prevalence was associated positively with age (p = 0.017) and more likely in those who reported manifestations of burnout (p < 0.01) or screened positive for depression (p < 0.01). Depression (OR = 2.24; 95% CI, 0.97-5.19) and emotional exhaustion (OR = 1.05; 95% CI, 0.39-2.84) were significantly associated with loneliness, including when adjusted for participants’ sex, age, and duty hours. Conclusion. Loneliness is prevalent among active member physicians of the Medical Society of Sedgwick County. Given that loneliness is associated with burnout and other emotional distress, there is an important need to understand its implications better

Nicotine Dependence from Electronic Cigarettes Use and Depressive Symptoms Among Adolescents

Introduction. The use of electronic cigarettes (e-cigarettes) has been increasing among adolescents in the United States population since they were first introduced to the US market in 2007. With depression as a major risk factor for suicide in adolescents, this study examined nicotine dependence from the use of e-cigarettes and depressive symptoms among adolescents. Methods. The authors conducted a retrospective patient chart review at a pediatric clinic in the Midwestern United States, from May 2021 to September 2021. As a standard practice, the clinic uses the adapted Penn State Nicotine Dependency Index to evaluate its patients’ nicotine dependence from the use of e-cigarettes and the PHQ-9 modified for teens to screen for depressive symptoms of its patients. Data on 69 patients were included in the study. The authors used standard descriptive statistics and an adjusted odds ratio (aOR) to analyze the data on the 69 adolescents.  Results. The mean age of the adolescents was 17.6 (SD = 2.3), 46.4% (n = 32) were female, and 53.6% (n = 37) were male. More than 88% (n = 61) of the adolescents met criteria for high nicotine dependence from e-cigarette use and 30.4% (21 of 69) of them screened positive for depression. Findings of the mixed model analyses indicated that there was not a statistically significant association between nicotine dependence from e-cigarette use and depressive symptoms (aOR = 1.07; 95% confidence interval, 0.93-1.23; P = .0365). Conclusions. Our findings show that while a third of the adolescents screened positive for depression and the majority (88%) depended on nicotine from e-cigarettes, there was no association between the outcomes. Future larger multicenter studies are needed to better understand the association between nicotine dependence from e-cigarettes and depressive symptoms as reported in the literature.&nbsp

The Sprint Mechanics Assessment Score: a qualitative screening tool for the in-field assessment of sprint running mechanics

Background: Qualitative movement screening tools provide a practical method of assessing mechanical patterns associated with potential injury development. Biomechanics play a role in hamstring strain injury and are recommended as a consideration within injury screening and rehabilitation programs. However, no methods are available for the in-field assessment of sprint running mechanics associated with hamstring strain injuries. Purpose: To investigate the intra- and interrater reliability of a novel screening tool assessing in-field sprint running mechanics titled the Sprint Mechanics Assessment Score (S-MAS) and present normative S-MAS data to facilitate the interpretation of performance standards for future assessment uses. Study Design: Cohort study (diagnosis); Level of evidence, 3. Methods: Maximal sprint running trials (35 m) were recorded from 136 elite soccer players using a slow-motion camera. All videos were scored using the S-MAS by a single assessor. Videos from 36 players (18 men and 18 women) were rated by 2 independent assessors blinded to each other's results to establish interrater reliability. One assessor scored all videos in a randomized order 1 week later to establish intrarater reliability. Intraclass correlation coefficients (ICCs) based on single measures using a 2-way mixed-effects model, with absolute agreement with 95% CI and kappa coefficients with percentage agreements, were used to assess the reliability of the overall score and individual score items, respectively. T-scores were calculated from the means and standard deviations of the male and female groups to present normative data values. The Mann-Whitney U test and the Wilcoxon signed-rank test were used to assess between-sex differences and between-limb differences, respectively. Results: The S-MAS showed good intrarater (ICC, 0.828 [95% CI, 0.688-0.908]) and interrater (ICC, 0.799 [95% CI, 0.642-0.892]) reliability, with a standard error of measurement of 1 point. Kappa coefficients for individual score items demonstrated moderate to substantial intra- and interrater agreement for most parameters, with percentage agreements ranging from 75% to 88.8% for intrarater and 66.6% to 88.8% for interrater reliability. No significant sex differences were observed for overall scores, with mean values of 4.2 and 3.8 for men and women, respectively (P = .27). Conclusion: The S-MAS is a new tool developed for assessing sprint running mechanics associated with lower limb injuries in male and female soccer players. The reliable and easy-to-use nature of the S-MAS means that this method can be integrated into practice, potentially aiding future injury screening and research looking to identify athletes who may demonstrate mechanical patterns potentially associated with hamstring strain injuries

Gamma knife surgery as monotherapy with clinically relevant doses prolongs survival in a Human GBM Xenograft Model

Object. Gamma knife surgery (GKS) may be used for recurring glioblastomas (GBMs). However, patients have then usually undergone multimodal treatment, which makes it difficult to specifically validate GKS independent of established treatments. Thus, we developed an experimental brain tumor model to assess the efficacy and radiotoxicity associated with GKS. Methods. GBM xenografts were implanted intracerebrally in nude rats, and engraftment was confirmed with MRI. The rats were allocated to GKS, with margin doses of 12Gy or 18Gy, or to no treatment. Survival time was recorded, tumor sections were examined, and radiotoxicity was evaluated in a behavioral open field test. Results. In the first series, survival from the time of implantation was 96 days in treated rats and 72 days in controls ( < 0.001). In a second experiment, survival was 72 days in the treatment group versus 54 days in controls ( < 0.006). Polynuclear macrophages and fibrosis was seen in groups subjected to GKS. Untreated rats with GBM xenografts displayed less mobility than GKS-treated animals in the open field test 4 weeks after treatment ( = 0.04). Conclusion.GKS administered with clinically relevant doses prolongs survival in rats harboringGBMxenografts, and the associated toxicity is mild.publishedVersio

Principal Differential Analysis: Incorporating Covariates Using Kernel Smoothers

Principal Differential Analysis is a statistical technique which suggests that a given set of functional data curves can be annihilated completely when an estimated linear differential operator (LDO) is applied (Coddington & Levinson). The novelty of residuals as forcing functions is introduced in PDA. This thesis builds on PDA with covariates by Jin et al, 2012 by dropping the assumption that the coefficients of the linear differential operator are a product of a function in t and v; the equivalent kernel is used to estimate the coefficient functions at target values. Incorporating covariates with kernel smoothers leads to two approaches: global PDA (equivalent kernel set to 1) and local PDA. Cross-validation, which is critical for finding the optimal smoothing parameter is considered for λ and b using the leave-one-out definition of cross-validation and an ad hoc approach to cross- validation. The data-set for analysis are the Lip Data from Ramsay and Silverman and the CAEP curves for children with normal hearing. Applications to this method (PDA incorporating covariates with kernel smoothers) suggests a theoretical assistance in determining the optimal age for a cochlear implant since the null space basis functions for the low dimensional approximation to the curves are computed for each target age

Principal differential analysis: incorporating covariates with kernel smoothers

Principal Differential Analysis is a statistical technique which suggests that a given set of functional data curves can be annihilated completely when an estimated linear differential operator (LDO) is applied (Coddington & Levinson). The novelty of residuals as forcing functions is introduced in PDA. This thesis builds on PDA with covariates by Jin et al, 2012 by dropping the assumption that the coefficients of the linear differential operator are a product of a function in t and v; the equivalent kernel is used to estimate the coefficient functions at target values. Incorporating covariates with kernel smoothers leads to two approaches: global PDA (equivalent kernel set to 1) and local PDA. Cross-validation, which is critical for finding the optimal smoothing parameter is considered for λ and b using the leave-one-out definition of cross-validation and an ad hoc approach to cross-validation. The data-set for analysis are the Lip Data from Ramsay and Silverman and the CAEP curves for children with normal hearing. Applications to this method (PDA incorporating covariates with kernel smoothers) suggests a theoretical assistance in determining the optimal age for a cochlear implant since the null space basis functions for the low dimensional approximation to the curves are computed for each target age

No difference in COVID-19 treatment outcomes among current methamphetamine, cannabis and alcohol users

Abstract Background Poor outcomes of COVID-19 have been reported in older males with medical comorbidities including substance use disorder. However, it is unknown whether there is a difference in COVID-19 treatment outcomes between patients who are current cannabis users, excessive alcohol drinkers and those who use a known hazardous stimulant such as methamphetamine (METH). Methods Electronic medical records (EMR) of COVID-19 patients with current METH (n = 32), cannabis (n = 46), and heavy alcohol use (n = 44) were reviewed. COVID-19 infection was confirmed by positive SARS-CoV-2 PCR test, current drug use was confirmed by positive urine drug testing, and alcohol use was identified by a blood alcohol concentration greater than 11 mg/dl. Multivariate linear regression models as well as the firth logistic regression models were used to examine the effect of substance use group (METH, cannabis, or alcohol) on treatment outcome measures. Results A total of 122 patients were included in this analysis. There were no significant differences found between drug groups in regards to key SARS-CoV-2 outcomes of interest including ICU admission, length of stay, interval between SARS-CoV-2 positive test and hospital discharge, delirium, intubation and mortality after adjusting for covariates. About one-fifth (21.9% in METH users, 15.2% in cannabis users, and 20.5% in alcohol users) of all patients required ICU admission. As many as 37.5% of METH users, 23.9% of cannabis users, and 29.5% of alcohol users developed delirium (P = 0.4). There were no significant differences between drug groups in COVID-19 specific medication requirements. Eight patients in total died within 10 months of positive SARS-CoV-2 PCR test. Two patients from the METH group (6.3%), two patients from the cannabis group (4.3%), and four patients from the alcohol group (9.1%) died. Discussion The study outcomes may have been affected by several limitations. These included the methodology of its retrospective design, relatively small sample size, and the absence of a COVID-19 negative control group. In addition, there was no quantification of substance use and many covariates relied on clinical documentation or patient self-report. Finally, it was difficult to control for all potential confounders particularly given the small sample size. Conclusion Despite these limitations, our results show that current METH, cannabis, and heavy alcohol users in this study have similar treatment outcomes and suffer from high morbidity including in-hospital delirium and high mortality rates within the first-year post COVID-19. The extent to which co-morbid tobacco smoking contributed to the negative outcomes in METH, cannabis, and alcohol users remains to be investigated