The Association of Teamlets and Teams with Physician Burnout and Patient Outcomes

BACKGROUND

Primary care "teamlets" in which a staff member and physician consistently work together might provide a simple, cost-effective way to improve care, with or without insertion within a team.

OBJECTIVE

To determine the prevalence and performance of teamlets and teams.

DESIGN

Cross-sectional observational study linking survey responses to Medicare claims.

PARTICIPANTS

Six hundred eighty-eight general internists and family physicians.

INTERVENTIONS

Based on survey responses, physicians were assigned to one of four teamlet/team categories (e.g., teamlet/no team) and, in secondary analyses, to one of eight teamlet/team categories that classified teamlets into high, medium, and low collaboration as perceived by the physician (e.g., teamlet perceived-high collaboration/no team).

MAIN MEASURES

Descriptive: percentage of physicians in teamlet/team categories.

OUTCOME MEASURES

physician burnout; ambulatory care sensitive emergency department and hospital admissions; Medicare spending.

KEY RESULTS

77.4% of physicians practiced in teamlets; 36.7% in teams. Of the four categories, 49.1% practiced in the teamlet/no team category; 28.3% in the teamlet/team category; 8.4% in no teamlet/team; 14.1% in no teamlet/no team. 15.7%, 47.4%, and 14.4% of physicians practiced in perceived high-, medium-, and low-collaboration teamlets. Physicians who practiced neither in a teamlet nor in a team had significantly lower rates of burnout compared to the three teamlet/team categories. There were no consistent, significant differences in outcomes or Medicare spending by teamlet/team or teamlet perceived-collaboration/team categories compared to no teamlet/no team, for Medicare beneficiaries in general or for dual-eligible beneficiaries.

CONCLUSIONS

Most general internists and family physicians practice in teamlets, and some practice in teams, but neither practicing in a teamlet, in a team, or in the two together was associated with lower physician burnout, better outcomes for patients, or lower Medicare spending. Further study is indicated to investigate whether certain types of teamlet, teams, or teamlets within teams can achieve higher performance.

Effect of α-Tocopherol in the vitrification medium on the viability, lipid peroxidation, expression of key developmental, apoptotic and stress-related genes in ovine secondary follicles

The present study aimed to evaluate the effect of α-tocopherol on viability, lipid peroxidation, and the expression of apoptosis, stress, and development related genes in the vitrified sheep secondary follicles. Ovarian secondary follicles (200-300 μm) were isolated and distributed separately to the vitrification treatment and supplemented with 5 mM, 10 mM, 20 mM and 30 mM of α-tocopherol (while the control fresh group was without vitrification and supplementation of α-tocopherol). After a week, the follicles were thawed and evaluated for follicular viability by trypan blue dye exclusion method, lipid peroxidation and gene expression studies. The results showed that the vitrification with 10 and 20 mM of α-tocopherol positively affected (P<0.05) the viability of vitrified follicles in comparison with vitrified ones without α-tocopherol but the higher concentration of α-tocopherol, i.e., 30 mM negatively affected the viability (P<0.05) in comparison with the 10 and 20 mM of α-tocopherol groups. The malondialdehyde (MDA) levels were significantly (P<0.05) higher in the vitrified without α-tocopherol group in comparison to the vitrified with 20 mM of α-tocopherol group. The expression of apoptotic-related gene, BCL2L1 was significantly higher in 10 mM α-tocopherol group compared to the control fresh and CASPASE 3, 9 expressions were significantly higher in the vitrified group when compared to the vitrified with 10 mM α-tocopherol group. Expressions of BAX, BAD, BAK, BMP-15 and GDF-9 showed no significant difference among the groups. The mRNA expression of SOD1 was significantly higher in the vitrified without α-tocopherol group when compared to other groups. We conclude that the supplementation of 10 and 20 mM α-tocopherol in vitrification solution was the efficient vitrification procedure for the vitrification of ovine secondary follicles.

Delivery outcomes as a result of snoring as determined by standard sleep surveys

Background

Sleep-disordered breathing (SDB), is an umbrella term that encompasses obstructive sleep apnea (OSA), central sleep apnea (CSA) and hypoventilation. is common but studies in the pregnant population are limited. Data suggests relationships between OSA and preeclampsia, but the relationship between snoring and pregnancy outcomes is unknown.

Methods

A prospective study of 2224 singleton pregnancies was undertaken. Women were questioned using the Berlin Questionnaire (BQ- 2 or more categories where the score is positive.) and the Epworth Sleepiness Scale (ESS >10/24), the results compared with pregnancy outcomes with regard to hypertension in pregnancy.

Results

Women having symptoms raising the possibility of OSA defined by the BQ with a score >7 was 45.5%, and using ESS with a score >10, was 36%. The birth and neonatal outcomes for self-reported snoring and increased daytime sleepiness showed increased adverse outcomes notably increased caesarean section rates and low APGAR scores but not birth before 37 weeks of gestation.

Conclusion

Using questionnaires designed for the general population, the prevalence of possible undiagnosed OSA is high in the pregnant population. The increased adverse delivery and neonatal outcomes for self-reported snoring and increased daytime sleepiness with these tools indicated the need for further investigation of the links between snoring SDB and pregnancy outcomes.

Body mass index and Mini Nutritional Assessment-Short Form as predictors of in-geriatric hospital mortality in older adults with COVID-19

BACKGROUND & AIMS

Overweight and obesity have been consistently reported to carry an increased risk for poorer outcomes in coronavirus disease 2019 (COVID-19) in adults. Existing reports mainly focus on in-hospital and intensive care unit mortality in patient cohorts usually not representative of the population with the highest mortality, i.e. the very old and frail patients. Accordingly, little is known about the risk patterns related to body mass and nutrition in very old patients. Our aim was to assess the relationship between body mass index (BMI), nutritional status and in-geriatric hospital mortality among geriatric patients treated for COVID-19. As a reference, the analyses were performed also in patients treated for other diagnoses than COVID-19.

METHODS

We analyzed up to 10,031 geriatric patients with a median age of 83 years of which 1409 (14%) were hospitalized for COVID-19 and 8622 (86%) for other diagnoses in seven geriatric hospitals in the Stockholm region, Sweden during March 2020-January 2021. Data were available in electronic hospital records. The associations between 1) BMI and 2) nutritional status, assessed using the Mini-Nutritional Assessment - Short Form (MNA-SF) scale, and short-term in-geriatric hospital mortality were analyzed using logistic regression.

RESULTS

After adjusting for age, sex, comorbidity, polypharmacy, frailty and the wave of the pandemic (first vs. second), underweight defined as BMI<18.5 increased the risk of in-hospital mortality in COVID-19 patients (odds ratio [OR] = 2.30; confidence interval [CI] = 1.17-4.31). Overweight and obesity were not associated with in-hospital mortality. Malnutrition; i.e. MNA-SF 0-7 points, increased the risk of in-hospital mortality in patients treated for COVID-19 (OR = 2.03; CI = 1.16-3.68) and other causes (OR = 6.01; CI = 2.73-15.91).

CONCLUSIONS

Our results indicate that obesity is not a risk factor for very old patients with COVID-19, but emphasize the role of underweight and malnutrition for in-hospital mortality in geriatric patients with COVID-19.

Multi-category classification of left ventricle ejection fraction using a convolutional neural network

Background

Screening for left ventricular (LV) systolic dysfunction (defined as ejection fraction ≤35%) based on data from a standard 12-lead electrocardiogram (ECG) has become well established when standard digital ECGs are available–8 independent leads sampled at least 250 hertz for 10 seconds. As the algorithm has been incorporated into various clinical scenarios and ancillary research projects, a limitation of the binary classification at 35% has become apparent.

Purpose

The objective of this study was to develop and validate a deep learning-based algorithm that would classify LVEF into three categories based on only the digital ECG input.

Methods

After IRB approval, native digital resting ECGs acquired between 1/1/2010 and 12/31/2021 on patients seen in Mayo Clinic in Jacksonville were extracted from the institutional electronic ECG database management system (MUSE, GE Healthcare). These ECGs were matched with transthoracic echocardiograms obtained up to four days prior or 30 days after the ECGs acquisition. A convolutional neural network consisting of 8 layers of convolutions, batch normalization and pooling was trained using Keras and Tensorflow with hyper-parameter optimization for L1 and L2 regularization, learning rate adjustments, and class weights to predict three classes of LVEF: ≤35%, 36–51%, and ≥52% based on clinical relevance. The primary measure of overall performance was the detection of LVEF ≤35%; however, the triad of model predictions was also considered in translating the model output to human interpretable findings.

Results

A total of 30,153 patients (60,169 ECG pairings; mean age 63 years; 48% male) were randomly split at the patient level into training (24,172 patients), validation (2,973 patients) and testing (3,008 patients). The trained model provided robust discrimination in the withheld testing data – AUROC of 0.941 (95% CI: 0.931 to 0.950). Using the optimal model threshold based on Youden's index from the validation data (0.186), sensitivity and specificity were estimated to be 87.9% (95% CI: 83.8% to 91.2%) and 86.3% (95% CI: 85.4% to 87.2%) in the testing data. In instances where discordant predictions were observed, the posterior distribution of model probabilities provide additional insights into the possible underlying value of LVEF (Figure 1).

Conclusions

The utilization of a multi-category deep learning classification model for the detection of reduced ejection fraction adds new dimensions to the use of AI technologies on digital ECGs. This work shows high discrimination can still be obtained when using three classes of LVEF.

Funding Acknowledgement

Type of funding sources: None.

Screening for cardiac allograft rejection among heart transplant recipients using an electrocardiogram-based deep learning model

Background

Current approaches utilizing non-invasive methods to screen for cardiac allograft rejection (gene expression profiling and cell free DNA) have yet to be broadly integrated into heart transplant management and have shown limited discrimination (AUCs of 0.68 and 0.77, respectively). Changes in the electrocardiogram (ECG) have been reported at the time of severe cardiac rejection, including low voltages and conduction abnormalities. It remains unknown if subtle ECG changes correlating with cardiac allograft rejection can be detected earlier using machine learning methods.

Purpose

We sought to develop an artificial intelligence (AI) model to detect cardiac allograft rejection based on the 12 lead ECG.

Methods

We identified all patients who underwent a heart transplant at 3 hospital sites within a single health system from Jan 1998 through Apr 2021 and extracted digital 12-lead ECG data as well as endomyocardial biopsy pathology results from the electronic medical record. We partitioned our data into a training (80%), validation (10%), and test set (10%) based on a group stratification sampling. Each patient was present in only one set and each set had a positivity rate of 2.6% with 6,074/758/758 ECGs belonging to 1,146/140/141 unique patients in each set respectively. Cardiac allograft rejection was defined as moderate or severe acute cellular rejection based on International Society for Heart and Lung Transplantation (ISHLT) guidelines. A convolutional neural network, using the 12-lead ECG data as input, was trained with hyperparameter optimization for regularization, learning rate adjustments, and class weights. Model performance metrics were based on the test data and estimated using the final model architecture.

Results

1,587 heart transplant recipients who had at least one endomyocardial biopsy were evaluated for inclusion. We limited our sample to ECGs performed within 30 days of the biopsy date (7,590 ECGs, representing 1,425 unique patients). Our study population had a median age of 55.8 years and 28.7% were female. The median number of ECG-biopsy pairs per patient was 5. The majority of endomyocardial biopsy results were classified as none or mild rejection (97.1%), and 2.9% had moderate/severe rejection. The ECG-based AI model detected cardiac allograft rejection with an area under the receiver operative curve (AUC) of 0.84 in the test set. The sensitivity, specificity, positive and negative predictive values were 95%, 52.6%. 5.2% and 99.7% respectively.

Conclusions

An AI-ECG model appears to outperform novel non-invasive laboratory tests (gene expression profiling and cell free DNA) for detecting cardiac allograft rejection and does not require a blood draw or the additional complexities surrounding sample processing. This model relies on a readily available and relatively inexpensive test, the ECG. In addition, AI predictions can be made available within a few minutes following ECG acquisition.

Funding Acknowledgement

Type of funding sources: Private hospital(s). Main funding source(s): Mayo Clinic

O007 Pancreas and islet transplantation in the United Kingdom during the COVID-19 era

Introduction

Methods

Results

Conclusion

Take-home message

Physician prices and low-value services: evidence from general internal medicine

OBJECTIVES

To assess the cross-sectional relationship between prices paid to physicians by commercial insurers and the provision of low-value services.

STUDY DESIGN

Observational study design using Health Care Cost Institute claims representing 3 large national commercial insurers.

METHODS

The main outcome was count of 19 potential low-value services in 2014. The secondary outcome was total spending on the low-value services. Independent variables of interest were price quintiles based on each physician's mean geographically adjusted price of a mid-level office visit, the most commonly billed service by general internal medicine (GIM) physicians. We estimated the association between physician price quintile and provision of low-value services via negative binomial or generalized linear models with adjustments for measure, region, and patient and physician characteristics.

RESULTS

This study included 750,452 commercially insured patients attributed to 28,951 GIM physicians. In 2014, the mean geographically adjusted price for physicians in the highest price quintile was $122.6 vs $54.7 for physicians in the lowest quintile ($67.9 difference; 95% CI, $67.5-$68.3). Relative to patients attributed to the lowest-priced physicians, those attributed to the highest-priced physicians received 3.6, or 22.9%, fewer low-value services per 100 patients (95% CI, 2.7-4.7 services per 100 patients). Spending on low-value services attributed to the highest-priced physicians was 10.9% higher ($520 difference per 100 patients; 95% CI, $167-$872).

CONCLUSIONS

Commercially insured patients of high-priced physicians received fewer low-value services, although spending on low-value services was higher. More research is needed to understand why high-priced providers deliver fewer low-value services and whether physician prices are correlated with other measures of quality.

Quantitative MRI findings indicate diffuse white matter damage in Susac Syndrome

Background

Susac Syndrome (SuS) is an autoimmune endotheliopathy impacting the brain, retina and cochlea that can clinically mimic multiple sclerosis (MS).

Objective

To evaluate non-lesional white matter demyelination changes in SuS compared to MS and healthy controls (HC) using quantitative MRI.

Methods

3T MRI including myelin water imaging and diffusion basis spectrum imaging were acquired for 7 SuS, 10 MS and 10 HC participants. Non-lesional white matter was analyzed in the corpus callosum (CC) and normal appearing white matter (NAWM). Groups were compared using ANCOVA with Tukey correction.

Results

SuS CC myelin water fraction (mean 0.092) was lower than MS(0.11, p = 0.01) and HC(0.11, p = 0.04). Another myelin marker, radial diffusivity, was increased in SuS CC(0.27μm2/ms) compared to HC(0.21μm2/ms, p = 0.008) and MS(0.23μm2/ms, p = 0.05). Fractional anisotropy was lower in SuS CC(0.82) than HC(0.86, p = 0.04). Fiber fraction (reflecting axons) did not differ from HC or MS. In NAWM, radial diffusivity and apparent diffusion coefficient were significantly increased in SuS compared to HC(p < 0.001 for both measures) and MS(p = 0.003, p < 0.001 respectively).

Conclusions

Our results provided evidence of myelin damage in SuS, particularly in the CC, and more extensive microstructural injury in NAWM, supporting the hypothesis that there are widespread microstructural changes in SuS syndrome including diffuse demyelination.

Effect of different vitrification protocols on post thaw viability and gene expression of ovine preantral follicles

The aim of the present study was to establish a vitrification protocol for ovine preantral follicles, which can retain viability after thawing and to evaluate the impact of different vitrification treatments on apoptosis and development-related gene expression. Preantral follicles were isolated from cortical slices of ovaries by the mechanical method of isolation. The isolated preantral follicles (200-300 μm) were randomly assigned into four groups. Group1 - Control Fresh preantral follicles (256 follicles); Group 2- Vitrification treatment A (259 follicles) (Vitrification solution 1 (VS1) - Fetal bovine serum (FBS)10%, Ethylene glycol (EG):1.8 M, Dimethyl sulfoxide (DMSO): 1.4 M, Sucrose-0.3 M for 4 min; VS2- FBS10%, EG:4.5 M, DMSO: 3.5 M, Sucrose:0.3 M for 45 s), Group 3 - Vitr. treatment B (235 follicles) (VS1-FBS 20%, EG:1.3 M, DMSO1.05 M for 15 min, VS2- FBS 20%, EG:2.7 M, DMSO:2.1 M for 5 min) and Group 4-Vitrification treatment C (248 follicles) (VS1-Glycerol(Gly):1.2 M for 3 min, VS2- Gly:1.2 M, EG:3.6 M for 3 min, VS3- Gly3M, EG: 4.5 M for 1 min). Preantral follicles were placed in corresponding vitrification treatments and later plunged immediately into liquid nitrogen (-196 °C). After a week, the follicles were thawed and analyzed for follicular viability by trypan blue dye exclusion method as well as for gene expression. The results showed that the low concentration of cryoprotectants (vitrification treatment B) negatively affected the viability of preantral follicles in comparison with control follicles. There was no significant difference in the viability rates among the Control (87%), Treatment A (79%) and Treatment C (75%). The percentage of viable preantral follicles (73%) derived from Treatment B was significantly decreased (P<0.05%) in comparison to that of control. The expression of apoptotic gene BAK was higher in the vitrification treatment B group. Expressions of the other apoptosis-related genes i.e. Bcl2L1, BAD, BAX, Caspase 3, and Annexin showed no significant difference among the groups. The expression pattern of development competence genes GDF-9 and BMP-15 were higher (P < 0.05) in vitrification treatment A and C, respectively. Expression of NOBOX gene was significantly increased in preantral follicles with Vitrification treatment B compared to the control group. We conclude that both the Vitrification treatment A and Treatment C were the efficient vitrification treatment methods for the vitrification of ovine preantral follicles.

Effect of retinol in the vitrification medium on viability of vitrified ovine preantral follicles and expression of key developmental and apoptosis related genes

BACKGROUND

Vitrification increases the production of reactive oxygen species (ROS) and the antioxidants in the vitrification solution may be beneficial by reducing excessive ROS production.

OBJECTIVE

To evaluate the effect of retinol supplementation in vitrification solution on viability, apoptosis and development-related gene expression in vitrified sheep preantral follicles.

MATERIALS AND METHODS

Preantral follicles were isolated and randomly assigned into one of five groups: Group1, control fresh preantral follicles; Group 2, vitrification treatment; Group 3, vitrification + 2 μM retinol; Group 4, vitrification + 5 μM retinol; Group 5, vitrification + 10 μM retinol. Preantral follicles were placed in vitrification solutions and then plunged into liquid nitrogen (-196°C). After a week, the follicles were thawed and analyzed for follicular viability by trypan blue exclusion method and for gene expression.

RESULTS

Vitrification with 5 μM retinol positively affected viability in comparison with vitrification without retinol (P < 0.05). There was no significant difference in viability among the Group 1, Group 2, Group 3 and Group 5. Expression of apoptotic genes BAX and Casp 3 were higher in the vitrified group, and vitrification with 5 μM retinol (Group 4) is comparable to the control fresh. Expressions of other apoptosis-related genes (i.e., BCL2L1, BAD and BAK) showed significant difference between the control fresh group and the vitrification group with 5 μM retinol. Expression of Annexin5 was also significantly different among various groups. The expression of development competence genes GDF-9 and BMP-15 were higher (P < 0.05) in the Group vitrified with 5 μM retinol.

CONCLUSION

The supplementation of 5 μM retinol in vitrification solution was beneficial for the vitrification of ovine preantral follicles.

Regulatory role of Wnt signal in the estradiol synthesis of different size categories of ovarian follicles in buffalo (Bubalus bubalis)

The aim of the present study was to understand the role of Wnt signal in ovarian estradiol synthesis in various size categories of ovarian follicles. A six- day cell culture system was adopted to test the effect of a Wnt inhibitor i.e. Inhibitor of Wnt response (IWR) on the ovarian granulosa cell estradiol synthesis and associated genes related to estradiol synthesis and Wnt signaling (CYP19A1, CCND2, WNT2, FZD6, DVL1, APC, AXIN2, CTNNB1) in buffalo. It was conducted with four groups: Group 1:control, Group 2: control + FSH, Group 3: IWR, Group 4:IWR + FSH. No significant effect of IWR was observed on the ovarian granulosa cell proliferation. No significant difference in the estradiol levels was found in the spent media harvested after six days of in vitro culture among different groups in small and large-sized ovarian follicles. However, the estradiol level varied significantly (P < 0.05) among different treatment groups in medium-sized follicles. The estradiol level was significantly lower (P < 0.05) in IWR group compared to the control group and was also significantly lower in IWR+FSH group compared to the FSH group. The Wnt inhibitor had significantly (P< 0.05) reduced the gene expression of CYP19A1 in large ovarian follicles. Varied effects of IWR-1 and FSH on the expression of other genes were observed. The results indicated that there is a positive role of Wnt signal in estradiol synthesis in buffalo but the positive role was more discernable in medium and large-sized follicles.

Robust Prescription Monitoring Programs and Abrupt Discontinuation of Long-term Opioid Use

INTRODUCTION

This study assesses the associations between the recent implementation of robust features of state Prescription Drug Monitoring Programs and the abrupt discontinuation of long-term opioid therapies.

METHODS

Data were from a national commercial insurance database and included privately insured adults aged 18-64 years and Medicare Advantage enrollees aged ≥65 years who initiated a long-term opioid therapy episode between Quarter 2 of 2011 and Quarter 2 of 2017. State Prescription Drug Monitoring Programs were characterized as nonrobust, robust, and strongly robust. Abrupt discontinuation was measured on the basis of high daily morphine milligram equivalents over the last 30 days of a long-term opioid therapy episode or no sign of tapering before discontinuation. Difference-in-differences models were estimated in 2019‒2020 to assess the association between robust Prescription Drug Monitoring Programs and abrupt discontinuation.

RESULTS

Among nonelderly privately insured adults, robust Prescription Drug Monitoring Programs were associated with an increase from 14.8% to 15.4% (4% relative increase, p=0.02) in the rate of ending long-term opioid therapy with ≥60 daily morphine milligram equivalents. For older Medicare Advantage enrollees, strongly robust Prescription Drug Monitoring Programs were associated with a reduction from 4.8% to 4.3% (10.4%, p=0.01) and from 3.0% to 2.4% (17.3%, p=0.001) in the rate of ending long-term opioid therapy with ≥90 and 120 daily morphine milligram equivalents, respectively. Prescription Drug Monitoring Programs robustness was not associated with clinically meaningful changes in the rate of discontinuing long-term opioid therapy without tapering.

CONCLUSIONS

Discontinuation without tapering was the norm for long-term opioid therapies in the samples throughout the study years. Findings do not support the notion that policies aimed at enhancing Prescription Drug Monitoring Program use were associated with substantial increases in abrupt long-term opioid therapy discontinuation.

Hepatitis C Treatment by Nonspecialist Providers in the Direct-acting Antiviral Era

BACKGROUND

Hepatitis C virus (HCV) remains under-treated in the United States and treatment by nonspecialist providers can expand access. We compare HCV treatment provision and treatment completion between nonspecialist and specialist providers.

METHODS

This retrospective study used claims data from the Healthcare Cost Institute from 2013 to 2017. We identified providers who prescribed HCV therapy between 2013 and 2017, and patients enrolled in private insurance or Medicare Advantage who had pharmacy claims for HCV treatment. We measured HCV treatment completion, determined based on prescription fills for the minimum expected duration of the antiviral regimen. Using propensity score-weighted regression, we compared the likelihood of early treatment discontinuation by the type of treating provider.

RESULTS

The number of providers prescribing HCV treatment peaked in 2015 and then declined. The majority were gastroenterologists, although the proportion of general medicine providers increased to 17% by 2017. Among the 23,463 patients analyzed, 1008 (4%) discontinued before the expected minimum duration. In the propensity score-weighted analysis, patients treated by general medicine physicians had similar odds of treatment discontinuation compared with those treated by gastroenterologists [odds ratio (OR)=1.00, 95% confidence interval (CI): 0.99-1.01, P=0.45]. Results were similar when comparing gastroenterologists to nonphysician providers (OR=1.00, 95% CI: 0.99-1.01, P=0.53) and infectious diseases specialists (OR=1.00, 95% CI: 0.99-1.01, P=0.71).

CONCLUSIONS

HCV treatment providers remain primarily gastroenterologists, even in the current simplified treatment era. Patients receiving treatment from general medicine or nonphysician providers had a similar likelihood of treatment completion, suggesting that removing barriers to the scale-up of treatment by nonspecialists may help close treatment gaps for hepatitis C.

Effect of retinol as antioxidant on the post-thaw viability and the expression of apoptosis and developmental competence-related genes of vitrified preantral follicles in buffalo (Bubalus bubalis)

The present study evaluated the effect of supplementation of retinol in the vitrification solution on the viability, apoptosis and development-related gene expression in vitrified buffalo preantral follicles. Preantral follicles isolated from cortical slices of ovaries were randomly assigned into three groups: Group1-Control fresh preantral follicles; Group 2-Vitrification treatment (Vitrification solution 1 (VS1) -TCM-199 + 25 mM HEPES + Foetal bovine serum (FBS) 10%, Ethylene glycol (EG): 10%, Dimethyl sulphoxide (DMSO): 10%, Sucrose-0.3 M for 4 min; VS2- TCM-199 + 25 mM HEPES + FBS10%, EG:25%, DMSO: 25%, Sucrose:0.3 M for 45 s); Group3-vitrification treatment +5 μM of Retinol. Preantral follicles were placed in corresponding vitrification medium and plunged into liquid nitrogen (-196°C). After a week, the follicles were thawed and analysed for follicular viability and gene expression. There was no significant difference in the viability rates among the Group 1(Fresh preantral follicles) (91.46 ± 2.39%), Group 2 (89.59 ± 2.46%) and Group 3 (87.19 ± 4.05%). There was a significantly (p < .05) higher mRNA expression of BCL2L1, GDF-9 and BMP-15 in the vitrification + retinol group compared with the control group. There was a significantly (p < .05) higher expression of Caspase-3 and Annexin-5 in the vitrification group and Vitrification + retinol group compared with control group of follicles. It is concluded that the supplementation of 5 μM of Retinol in Vitrification solution was an efficient vitrification procedure for the vitrification of buffalo preantral follicles.

Proficiency testing and ring trials

The validation of diagnostic methods (and the subsequent results generated by a laboratory) are improved through participation in inter-laboratory comparisons (IC), such as proficiency-testing (PT) programmes and other exercises referred to as 'ring tests' or 'ring trials' (RTs). This is a requirement to comply with international quality standards. Validating a method is a continuous process and taking part in ongoing PT programmes supports the management of a method's life cycle, providing continuing assessment of fitness (sometimes referred to as the 'validation retention status'). Proficiency-testing panel designs ensure that the methods used, particularly diagnostic specificity and sensitivity, are suitably challenged. Appraising PT results over time can illustrate whether the laboratory's performance is stable, improving or worsening, and proficiency tests can also highlight variations in the performance of assays. The development of new proficiency tests can support the implementation of novel diagnostics technologies, such as whole genome sequencing and point-of-care testing, and assist in cross-sectoral partnerships focusing on One Health approaches, which are high on the agenda for infectious disease control. For example, the rapid design and distribution of emergency exempted assays for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) means that these assays were not as rigorously evaluated as assays for established infectious diseases. Therefore, participation in PT programmes for SARS-CoV-2 is essential to understand the performance of these assays. While other mechanisms help to underpin laboratory activities, PT has been, and should remain, an integral part of laboratory quality assurance. Resources must be directed towards increasing and improving the quality of PT (for example, availability and accessibility of suitable biological and reference materials are essential for a PT provider to execute its duties), to support established and novel methods such as genomic and point-of-care tests.

Copper and Selenium stimulates CYP19A1 expression in caprine ovarian granulosa cells: possible involvement of AKT and WNT signalling pathways

The role of copper and selenium on activation of estradiol synthesis pathways viz. PKA/AKT/WNT is not clearly elucidated. On this background we attempt to elcuiated the role of copper and selenium on mRNA expression of genes associated with estradiol synthesis in caprine ovarian granulose cell models. Ovarian granulosa cells from medium (3-5 mm) sized follicles were aspirated and distributed separately to different groups. Group I: control, Group II: cupric chloride (Cu: 0.5 mM), Group III: sodium selenite (Se: 100 ng/ml), Group IV: Cu + Se. The cells (10⁵/well) were cultured in 96 well plate in the base culture medium of MEMα comprising of nonessential amino acids (1.1 mM), FSH (10 ng/mL), transferrin (5 µg/mL), IGF-I (2 ng/mL), androstenedione (10^-6 M), penicillin (100 IU/mL), streptomycin (0.1 mg/mL) and fungizone (0.625 µl/mL) and insulin (1 ng/mL). The cells were incubated in a carbondioxide incubator (38 °C, 5% CO₂, 95% RH). The medium was changed on alternate days and cells were harvested on day 6. Day 6 media was used for estimation of estradiol. The RNA isolated form harvested cells was used for qPCR assay. There was no significant (p > 0.05) difference in estradiol concentration between groups. The mRNA expression of AKT1, CYP19A1, WNT2 & 4, FZD6 and APC2 were significantly (p < 0.05) higher in Cu and Cu + Se groups compared to control. Whereas, the mRNA transcript of DVL1 and CSNK1 was significantly (p < 0.05) higher in Cu + Se group compared to control. Incontrast, no significant difference in mRNA expression of PRKAR1A and CTNNB1 was noticed. Our study support a key role of copper and selenium in activation of AKT and WNT signalling pathway that further lead to increase in the mRNA expression of CYP19A1.

Physician, Practice, and Patient Characteristics Associated With Biosimilar Use in Medicare Recipients

IMPORTANCE

Biosimilars, or highly similar versions of complex biologic drugs, have the potential to slow drug spending growth; however, biosimilar uptake in the United States has been slow. Little is known about barriers to biosimilar uptake following drug launch.

OBJECTIVE

To examine the patient, physician, and practice characteristics associated with biosimilar use in the Medicare population.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used regression analysis to estimate the association between biosimilar use and various characteristics. Medicare fee-for-service beneficiaries who received a filgrastim product or an infliximab product between the launch of a class's first biosimilar (quarter 3 2015 for filgrastim-sndz and quarter 4 2016 for infliximab-dyyb) and December 2018. Data analysis was conducted from March to November 2020.

EXPOSURES

Patient demographic characteristics and product clinical indications; physician demographic characteristics, specialty, and volume of filgrastim or infliximab biologic administration; hospital size, ownership, 340B status, academic medical center status, and system affiliation; physician office size and multispecialty status.

MAIN OUTCOMES AND MEASURES

Administration of a filgrastim or infliximab biosimilar.

RESULTS

The final filgrastim sample included 25 870 patients (11 857 [45.8%] men; 14 224 [55.0%] aged 65-74 years; 22 617 [87.4%] White individuals) who had 259 178 administrations (79 017 [30.5%] biosimilar administrations), and the final infliximab sample included 14 786 patients (4765 [32.2%] men; 8773 [59.3%] aged 65-74 years; 13 467 [91.1%] White individuals) who had 174 973 administrations (9012 [5.2%] biosimilar administrations). In adjusted analyses, no patient demographic characteristics and 2 of 9 clinical indications (22.2%) were associated with biosimilar use (filgrastim, neutropenia: adjusted difference, -2.0 [95% CI, -3.9 to -0.2] percentage points; P = .03; infliximab, Crohn disease: adjusted difference, -1.8 [95% CI, -2.9 to -0.8] percentage points; P = .001). Several physician characteristics were associated with biosimilar administrations, including high filgrastim or infliximab prescribing volume (high vs low volume, filgrastim: adjusted difference, 3.6 [95% CI, 1.5 to 5.8] percentage points; P = .001; infliximab: adjusted difference, 1.2 [95% CI, 0.3 to 2.2] percentage points; P = .007) and specialty (eg, hematologist-oncologists vs primary care, filgrastim: adjusted difference, -3.0 [95% CI, -5.4 to -0.5] percentage points; P = .02). Numerous practice characteristics were associated with biosimilar use, including practice setting (outpatient hospital department vs office practice, filgrastim: adjusted difference, -16.1 [95% CI, -18.1 to -14.1] percentage points; P < .001; infliximab: adjusted difference, 3.0 [95% CI, 2.2 to 3.7] percentage points; P < .001) and hospital outpatient department ownership status (for-profit vs not-for-profit, filgrastim: adjusted difference, -17.4 [95% CI, -21.6 to -13.3] percentage points; P < .001; infliximab: adjusted difference, 10.8 [95% CI, 6.7 to 14.9] percentage points; P < .001).

CONCLUSIONS AND RELEVANCE

In this study, practice setting and hospital ownership status had the largest associations with biosimilar usage, suggesting practices play a role in steering physicians toward certain medications. However, the types of practices with high biosimilar use differed by drug class. Further research is needed to understand the reasons for these differences across drug classes.

Operative time, length of stay and reoperation rates for orthognathic surgery

Orthognathic surgery improves quality of life in terms of oral function and facial aesthetics. Our aim was to establish and compare operative time and length of inpatient stay for orthognathic procedures, and to assess the reoperation rate. Departmental electronic data base was used to identify all patients undergoing orthognathic surgery in a single unit between the 01/01/2016 and the 01/08/2018. 251 patients were identified who underwent 409 orthognathic surgery procedures. The mean operating time for a bimaxillary osteotomy (n=107) was 139.3 min. For single jaw procedures, the mean operating time for a Le Fort I osteotomy (n= 42) was 82.2 min and for a bilateral sagittal split osteotomy (BSSO) (n= 102) was 80.3min. Bimaxillary osteotomy combined with genioplasty (n=17) this increased the operating time on average by 31 min. and of a BSSO combined with a genioplasty (n=14) by 27 mins. The mean postoperative hospital stay was 1.2 ± 0.2 days. 96.4% patients spent only one postoperative night in hospital. 6/251 (2.4%) patients required re-operation. In regression analysis, age was the only significant factor in increasing length of stay (p<0.008), 95% CI 0.03-0.2). Our review shows short operating times and postoperative inpatient stays in a large cohort of patients undergoing orthognathic surgery. This is combined with a low reoperation rate. This may point to a patient benefit from high volume orthognathic centres.

Venous drainage of the left liver: an evaluation of anatomical variants and their clinical relevance

AIM

To evaluate the variations in venous drainage from the left liver.

MATERIALS AND METHODS

A retrospective evaluation was performed of all consecutive abdominal computed tomography (CT) examinations at a tertiary referral facility between 1 January and 30 June 2018. Osirix (Pixmeo SARL, Bernex, Switzerland) was used to examine the major hepatic veins and their tributaries in each scan. The classification of variants as proposed by Nakamura and Tsuzuki was used to describe the findings. The following information was collected: ramification pattern, number, length and diameter of middle (MHV) and left (LHV) hepatic vein tributaries. Two researchers collected data independently, and the average measurements were used as the final dimensions.

RESULTS

Of 102 examinations evaluated, only 27 demonstrated the conventional venous drainage patterns. The LHV and MHV combined to form a common trunk that emptied into the inferior vena cava (IVC) in 75 (73.5%) cases. The common trunk had a mean length of 8.89 mm and mean diameter of 20.18 mm. Other patterns included Nakamura and Tsuzuki type I (27.5%), type II (29.4%) and type III variants (16.7%). In addition, 4.9% of patients had absent superior middle veins and 80% had supernumerary short hepatic veins (4%).

CONCLUSION

Only 26.5% of patients in this population had conventional venous drainage from the left liver. Surgeons and radiologists in hepatobiliary practice should be aware of these variants in order to minimise morbidity when performing invasive procedures.

Validation of an antimicrobial susceptibility testing protocol for Brachyspira hyodysenteriae and Brachyspira pilosicoli in an international ring trial

Brachyspira hyodysenteriae and Brachyspira pilosicoli cause economically important enteric disease in pigs. Treatment of these infections often includes antimicrobial administration, which can be most effective when therapeutic options are informed by antimicrobial susceptibility testing data. Here we describe a method for broth dilution antimicrobial susceptibility testing of these bacteria, both of which are difficult to culture in vitro. The protocol was evaluated for its fitness for use in an inter-laboratory ring trial involving eight laboratories from seven countries, and employing eleven test strains (5 Brachyspira hyodysenteriae including the type strain B78^T and 6 Brachyspira pilosicoli) and six antibiotics. Overall intra- and inter-laboratory reproducibility of this method was very good (>90 % MICs at mode +/- 1 log₂). Whole genome sequencing revealed good correspondence between reduced susceptibility and the presence of previously defined antimicrobial resistance determinants. Interestingly, lnu(C) was identified in B. pilosicoli isolates with elevated MICs of lincomycin, whilst tva(B) was associated with elevated MICs of pleuromutilins in this species. We designated two new control strains with MICs lying within currently tested ranges, including for the pleuromutilins, in contrast to the control strain B. hyodysenteriae B78^T. These were deposited at the DSMZ-German Collection of Microorganisms and Cell Cultures GmbH. The validation of a standard protocol and identification of new control strains facilitates comparisons between studies, establishment of robust interpretative criteria, and ultimately contributes to rational antimicrobial use when treating infected livestock.

Prescribing decisions at buprenorphine treatment initiation: Do they matter for treatment discontinuation and adverse opioid-related events?

INTRODUCTION

Buprenorphine is a highly effective medication treatment for opioid use disorder (OUD) that can be prescribed in multiple treatment settings. Treatment retention, however, remains a challenge. In this study, we examined the association of days of supply as well as daily dosage of the initial buprenorphine prescription with treatment discontinuation and adverse opioid-related events following buprenorphine initiation.

METHODS

2011 to 2015 Health Care Cost Institute commercial claims data were analyzed for individuals aged 18-64 years initiating buprenorphine treatment (N = 17,158). Treatment discontinuation was defined as a gap of 30 days or more in buprenorphine use within 180 days of initiation. Adverse opioid-related events were defined as having at least one emergency department visit or inpatient admission involving opioid poisoning, dependence or abuse within 360 days of initiation. We conducted multivariate logistic regressions to estimate adjusted odds ratios of outcomes associated with daily dose (≤4 mg vs. >4 mg) and days of supply (≤7, 8-15, 16-27, or ≥ 28 days) of the initial buprenorphine prescription.

RESULTS

Over one-half (55%) of individuals discontinued buprenorphine within 180 days and 13% experienced at least one adverse opioid-related event within 360 days of initiation. Both a lower initial dose [≤4 mg, OR = 1.79, p < 0.01] and fewer initial days of supply [≤7 days vs. ≥28 days, OR = 1.32, p < 0.01] [8-15 days vs. ≥28 days, OR = 1.22, p < 0.01] were associated with increased odds of discontinuation. While a lower initial dose was not associated with adverse events, fewer initial days of supply were associated with a higher risk of adverse events, even after controlling for treatment discontinuation.

CONCLUSION

In this population of commercially insured, non-elderly adults, we found that fewer initial days of supply as well as a lower initial dose were associated with increased likelihood of treatment discontinuation, highlighting the importance of prescribing decisions when initiating buprenorphine for OUD.

Assessing The Impact Of State Policies For Prescription Drug Monitoring Programs On High-Risk Opioid Prescriptions

Policies and practices have proliferated to optimize prescribers' use of their states' prescription drug monitoring programs, which are statewide databases of controlled substances dispensed at retail pharmacies. Our study assessed the effectiveness of three such policies: comprehensive legislative mandates to use the program, laws that allow prescribers to delegate its use to office staff, and state participation in interstate data sharing. Our analysis of information from a large commercial insurance database indicated that comprehensive use mandates implemented during 2011-15 were associated with a 6-9 percent reduction in opioid prescriptions with high risk for misuse and overdose. We also found delegate laws to be associated with reductions of a similar magnitude for selected outcomes. In general, the effects of all three policies strengthened over time, especially beginning in the second year after implementation. Our findings support comprehensive use mandates and delegate laws to optimize prescribers' use of drug monitoring programs, but the results will need updates in the context of evolving state opioid policies-including the increasing integration of drug monitoring data with electronic health records.

Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes

OBJECTIVE

There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings.

RESEARCH DESIGN AND METHODS

Subjects from the TrialNet Pathway to Prevention Study (N = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A], and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years.

RESULTS

At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all P < 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all P ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody-positive, 13% for single autoantibody-positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody-positive, 12% for single autoantibody-positive, and 0.5% for initially autoantibody-negative subjects.

CONCLUSIONS

Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody-positive identical twins and multiple autoantibody-positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.

First Opioid Prescription and Subsequent High-Risk Opioid Use: a National Study of Privately Insured and Medicare Advantage Adults

BACKGROUND

National guidelines make recommendations regarding the initial opioid prescriptions, but most of the supporting evidence is from the initial episode of care, not the first prescription.

OBJECTIVE

To examine associations between features of the first opioid prescription and high-risk opioid use in the 18 months following the first prescription.

DESIGN

Retrospective cohort study using data from a large commercial insurance claims database for 2011-2014 to identify individuals with no recent use of opioids and follow them for 18 months after the first opioid prescription.

PARTICIPANTS

Privately insured patients aged 18-64 and Medicare Advantage patients aged 65 or older who filled a first opioid prescription between 07/01/2011 and 06/30/2013.

MAIN OUTCOMES AND MEASURES

High-risk opioid use was measured by having (1) opioid prescriptions overlapping for 7 days or more, (2) opioid and benzodiazepine prescriptions overlapping for 7 days or more, (3) three or more prescribers of opioids, and (4) a daily dosage exceeding 120 morphine milligram equivalents, in each of the six quarters following the first prescription.

KEY RESULTS

All three features of the first prescription were strongly associated with high-risk use. For example, among privately insured patients, receiving a long- (vs. short-) acting first opioid was associated with a 16.9-percentage-point increase (95% CI, 14.3-19.5), a daily MME of 50 or more (vs. less than 30) was associated with a 12.5-percentage-point increase (95% CI, 12.1-12.9), and a supply exceeding 7 days (vs. 3 or fewer days) was associated with a 4.8-percentage-point increase (95% CI, 4.5-5.2), in the probability of having a daily dosage of 120 MMEs or more in the long term, compared to a sample mean of 4.2%. Results for the Medicare Advantage patients were similar.

CONCLUSIONS

Long-acting formulation, high daily dosage, and longer duration of the first opioid prescription were each associated with increased high-risk use of opioids in the long term.