A Systematic Review of the Single-Item Burnout Question: Its Reliability Depends on Your Purpose.

BACKGROUND: Surveillance of burnout by the gold-standard Maslach Burnout Inventory (MBI) is hindered by cost and length. The validity and benchmarking of the commonly recommended and used single-item burnout question (SIBOQ) are unknown. We sought to (1) derive an equation for predicting the gold standard MBI from the SIBOQ and (2) measure the correlation of the SIBOQ with the full MBI and its subscales. METHODS: We sought studies in PubMed along with citations by and to included studies. We included studies that either correlated the SIBOQ and the MBI or reported the rates of burnout measured by both instruments. Two reviewers extracted data and CLARITY risk of bias. We used generalized linear mixed regression to separately quantify the predictive (benchmarking) and explanatory (hot-spotting) capabilities of the SIBOQ. We created a regression equation for converting SIBOQ scores to MBI scores. We meta-analyzed correlation coefficients (r) for the SIBOQ and MBI subscales. For all analyses, we considered an r of 0.7 as acceptable reliability for group-level comparisons. RESULTS: We included 17 studies reporting 6788 respondents. All studies had a high risk of bias, as no study had a response rate over 75% and no study was able to examine non-responders. The correlations (r) of the SIBOQ with the overall MBI were explanatory r = 0.82 and predictive r = 0.56. Regarding MBI subscales, the correlations of the SIBOQ with emotional exhaustion were adequate with r = 0.71 (95% CI 0.67-0.74; I2 = 89%), and depersonalization was r = 0.44 (95% CI 0.34-0.52; I2 = 90%). However, in 8 of 15 comparisons, the r was less than 0.70. DISCUSSION: The SIBOQ's usually adequate explanatory abilities allow "hot-spotting" to identify subgroups with high or low burnout within a single, homogenous survey fielding. However, the predictive ability of the SIBOQ indicates insufficient reliability in comparing local results to external benchmarks.

Metabolomic profiling of glucose homeostasis in African Americans: the Insulin Resistance Atherosclerosis Family Study (IRAS-FS).

INTRODUCTION: African Americans are at increased risk for type 2 diabetes. OBJECTIVES: This work aimed to examine metabolomic signature of glucose homeostasis in African Americans. METHODS: We used an untargeted liquid chromatography-mass spectrometry metabolomic approach to comprehensively profile 727 plasma metabolites among 571 African Americans from the Insulin Resistance Atherosclerosis Family Study (IRAS-FS) and investigate the associations between these metabolites and both the dynamic (SI, insulin sensitivity; AIR, acute insulin response; DI, disposition index; and SG, glucose effectiveness) and basal (HOMA-IR and HOMA-B) measures of glucose homeostasis using univariate and regularized regression models. We also compared the results with our previous findings in the IRAS-FS Mexican Americans. RESULTS: We confirmed increased plasma metabolite levels of branched-chain amino acids and their metabolic derivatives, 2-aminoadipate, 2-hydroxybutyrate, glutamate, arginine and its metabolic derivatives, carbohydrate metabolites, and medium- and long-chain fatty acids were associated with insulin resistance, while increased plasma metabolite levels in the glycine, serine and threonine metabolic pathway were associated with insulin sensitivity. We also observed a differential ancestral effect of glutamate on glucose homeostasis with significantly stronger effects observed in African Americans than those previously observed in Mexican Americans. CONCLUSION: We extended the observations that metabolites are useful biomarkers in the identification of prediabetes in individuals at risk of type 2 diabetes in African Americans. We revealed, for the first time, differential ancestral effect of certain metabolites (i.e., glutamate) on glucose homeostasis traits. Our study highlights the need for additional comprehensive metabolomic studies in well-characterized multiethnic cohorts.

Prevalence of elevated alkaline phosphatase levels among post-bariatric surgery patients.

INTRODUCTION: Little is known about the prevalence of elevated alkaline phosphatase in post-bariatric surgery patients due to under-utilization of this test after surgery. Elevated alkaline phosphatase levels are caused by hepatobiliary disease or bone resorption, which can lead to gallstones and osteoporosis. Early, post-operative measurement of alkaline phosphatase can prevent complications, thus reducing morbidity and overall healthcare costs. The purpose of this study was to determine the prevalence of elevated alkaline phosphatase levels among post-operative bariatric surgery patients. METHODS: This was a retrospective study of patients 18 years or older, who underwent laparoscopic sleeve gastrectomy (LSG) at a Midwestern Weight Management Clinic between January 1, 2002 and December 31, 2020. Alkaline phosphatase levels, weight, body mass index (BMI), gamma-glutamyl transferase (GGT), parathyroid hormone (PTH), calcitriol, and calcitonin, vitamin D and multivitamin supplementation were measured at baseline, 3, 6, and 12 months post-surgery. RESULTS: Two hundred thirty patients with mean age of 47 years and BMI of 44.6 were included with 80.9% (n = 186) female. Alkaline phosphatase was elevated relative to baseline for 36.1% of patients (n = 52) at 3 months post-surgery, 42.4% of patients (n = 56) at 6 months, and 43.3% of patients (n = 45) at 12 months (p < 0.001). There were six cases of documented cholelithiasis post-surgery. CONCLUSION: A significant proportion of participants experienced elevations in alkaline phosphatase following surgery, indicating that the prevalence of gallbladder pathology and bone resorption may be higher than previously thought. This merits additional investigation into these complications post-operatively to determine prevalence and avoid excess morbidity.

Post-stroke pneumonia: Factors associated with readmission within 90 days of stroke discharge.

OBJECTIVE: The objective was to identify risk and protective factors associated with post-stroke pneumonia readmission. METHOD: A retrospective chart review was conducted on 365 stroke patients who were admitted to Ascension Via Christi St. Francis Hospital in Wichita, Kansas from January 1, 2015 through January 30, 2020. This case control study used matching by age at a proportion of four control patients to one post-stroke pneumonia patient. Patients with and without post-stroke pneumonia readmission within 90 days of discharge were included in this study. RESULTS: Of the 3,952 patients diagnosed with stroke, 1.8% (n=73) patients were readmitted with post-stroke pneumonia. Compared to patients who were not readmitted for post-stroke pneumonia, patients with post-stroke pneumonia readmission were more likely to: have used a nasogastric tube during index admission, have used mechanical ventilation during index admission, or have been placed on a nothing-by-mouth diet at discharge. Being placed on nothing-by-mouth for fluids was also a predictor of post-stroke pneumonia readmission. Lack of acquired infection during the index admission was a protective factor for post-stroke pneumonia readmission. DISCUSSION: The pathophysiology of post-stroke pneumonia is multifactorial and includes consideration of dysphagia severity, bacterial colonization of the oropharynx and feeding tube, and an altered immune system. CONCLUSION: During the index admission, patients on nothing-by-mouth were more likely to be readmitted, and infection-free patients were less likely to be readmitted with post-stroke pneumonia. By identifying at-risk patients, clinicians may be able to use this information to tailor future medical interventions to prevent post-stroke pneumonia readmissions.

Sepsis, Septic Shock, and Differences in Cardiovascular Event Occurrence.

Introduction: Mortality estimates from sepsis and septic shock ranged from 18% to 35% and 40% to 60%, respectively, prior to 2014. Sepsis patients who experience subsequent cardiovascular events have increased mortality; however, data are limited among septic shock patients. This study reports in-hospital mortality, incident cardiovascular events, and cardiovascular procedures among sepsis patients with and without subsequent septic shock. Methods: Patients with a primary diagnosis of sepsis with and without a secondary diagnosis of septic shock were identified from the 2016 and 2017 National Readmissions Database. These patients were then evaluated for the occurrence of cardiovascular events and procedures. Results: A total of 2,127,137 patients were included in the study, with a mean age of 66 years. Twenty percent of patients (n = 420,135) developed subsequent septic shock. In-hospital mortality among patients with a primary diagnosis of sepsis was 5.3%, and it was 31.2% for those with subsequent septic shock. Notable cardiovascular events occurring among sepsis patients with and without subsequent septic shock, respectively, included: acute kidney injury (65.1% vs. 32.8%, P < .0001), acute systolic heart failure (9.8% vs. 5.1%, P < .0001), NSTEMI (8.8% vs. 3.2%, P < .0001), and ischemic stroke (2.3% vs. 0.9%, P < .0001). Similarly, the most common cardiovascular procedures between the two groups were: percutaneous coronary intervention (0.37% vs. 0.20%, P < .0001), intra-aortic balloon pump (0.19% vs. 0.02%, P < .0001), and extracorporeal membrane oxygenation (0.18% vs. 0.01%, P < .0001). Conclusions: Sepsis with subsequent septic shock is associated with an increased frequency of in-hospital cardiovascular events and procedures.

The Effect of Fluid Initiation Timing on Sepsis Mortality: A Meta-Analysis.

OBJECTIVE: Current guidelines suggest the immediate initiation of crystalloid for sepsis-induced hypoperfusion but note that supporting evidence is low quality. The aim of this study is to examine the effect of timing of fluid initiation on mortality for adults with sepsis. DATA SOURCES: Two authors independently reviewed relevant articles and extracted study details from PubMed, Scopus, Cochrane, Google Scholar, and previous relevant systematic reviews from 1-1-2000 to 1-6-2022. Registered with PROSPERO (CRD42021245431) and bias assessed using CLARITY. STUDY SELECTION: A minimum of severe sepsis (Sepsis-2) or sepsis (Sepsis-3) for patients ≥18 years old. Fluid initiation timing ranging from prehospital to 120 min within sepsis onset defined as "early" initiation. DATA EXTRACTION: Included studies providing mortality-based odds ratios (or comparable) adjusting for confounders or prospective trials. DATA SYNTHESIS: From 1643 citations, five retrospective cohort studies were included (n = 20,209) with in-hospital mortality of 21.8%. A pooled analysis (odds ratio = OR [95% CI]) did not observe an impact on mortality for the early initiation of fluids among all patients, OR = 0.79 [0.62-1.02]; heterogeneity: I2 = 86% [70-94%], but when studies analyzed cases of hypotension where available, a survival benefit was observed, OR = 0.74 [0.61-0.90]. Initiation of fluids in two prehospital studies did not impact mortality, OR = 0.82 [0.27-2.43]. However, both prehospital cohorts observed benefit among hypotensive patients individually, although heterogenous results precluded significance when pooled, OR = 0.50 [0.21-1.18]. Three hospital-based studies with initiation stratified at 30, 100, and 120 min, observed survival benefit both individually and when pooled, OR = 0.78 [0.63-0.97]. No differences were observed between prehospital versus hospital subgroups. CONCLUSION: This meta-analysis supports the guideline recommendations for early fluid initiation once sepsis is recognized, especially in cases of hypotension. Findings are limited by the small number, heterogeneity, and retrospective nature of available studies. Further retrospective investigations may be worthwhile as randomized studies on fluid initiation are unlikely.

The effect of coffee consumption on the non-alcoholic fatty liver disease and liver fibrosis: A meta-analysis of 11 epidemiological studies.

INTRODUCTION AND OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is a widespread chronic liver disease. It is considered a multifactorial disorder that can progress to liver fibrosis and cause a worldwide public health concern. Coffee consumption may have a protective impact on NAFLD and liver fibrosis. However, the evidence from the previous studies is inconsistent. This meta-analysis summarizes available literature. MATERIALS AND METHODS: This study comprises two meta-analyses. The first meta-analysis summarizes the effect of coffee consumption on NAFLD in those who did or did not drink coffee. The second analysis compares the risk of liver fibrosis development between NAFLD patients who did or did not drink coffee. Pooled risk ratios (RR) and confidence intervals (CI) of observational studies were estimated. RESULTS: Of the total collected 321 articles, 11 met our eligibility criteria to be included in the analysis. The risk of NAFLD among those who drank coffee compared to those who did not was significantly lower with a pooled RR value of 0.77 (95% CI 0.60-0.98). Moreover, we also found a significantly reduced risk of liver fibrosis in those who drink coffee than those who did not drink in the NAFLD patients with the relative risk (RR) of 0.68 (95% CI 0.68-0.79). CONCLUSIONS: Regular coffee consumption is significantly associated with a reduced risk of NAFLD. It is also significantly associated with decreased risk of liver fibrosis development in already diagnosed NAFLD patients. Although coffee consumption may be considered an essential preventive measure for NAFLD, this subject needs further epidemiological studies.

Molecular Pathways Underlying Adaptive Repair of the Injured Kidney: Novel Donation After Cardiac Death and Acute Kidney Injury Platforms.

OBJECTIVE: To test the hypothesis that gene expression profiling in peripheral blood from patients who have undergone kidney transplantation (KT) will provide mechanistic insights regarding graft repair and regeneration. BACKGROUND: Renal grafts obtained from living donors (LD) typically function immediately, whereas organs from donation after cardiac death (DCD) or acute kidney injury (AKI) donors may experience delayed function with eventual recovery. Thus, recipients of LD, DCD, and AKI kidneys were studied to provide a more complete understanding of the molecular basis for renal recovery. METHODS: Peripheral blood was collected from LD and DCD/AKI recipients before transplant and throughout the first 30 days thereafter. Total RNA was isolated and assayed on whole genome microarrays. RESULTS: Comparison of longitudinal gene expression between LD and AKI/DCD revealed 2 clusters, representing 141 differentially expressed transcripts. A subset of 11 transcripts was found to be differentially expressed in AKI/DCD versus LD. In all recipients, the most robust gene expression changes were observed in the first day after transplantation. After day 1, gene expression profiles differed depending upon the source of the graft. In patients receiving LD grafts, the expression of most genes did not remain markedly elevated beyond the first day post-KT. In the AKI/DCD groups, elevations in gene expression were maintained for at least 5 days post-KT. In all recipients, the pattern of coordinate gene overexpression subsided by 28 to 30 days. CONCLUSIONS: Gene expression in peripheral blood of AKI/DCD recipients offers a novel platform to understand the potential mechanisms and timing of kidney repair and regeneration after transplantation.

Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium.

Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P < 5×10-8: seven for BMI, and one for WHRadjBMI in African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (<5%). In the trans-ethnic fine mapping of 47 BMI loci and 27 WHRadjBMI loci that were locus-wide significant (P < 0.05 adjusted for effective number of variants per locus) from the African ancestry sex-combined and sex-stratified analyses, 26 BMI loci and 17 WHRadjBMI loci contained ≤ 20 variants in the credible sets that jointly account for 99% posterior probability of driving the associations. The lead variants in 13 of these loci had a high probability of being causal. As compared to our previous HapMap imputed GWAS for BMI and WHRadjBMI including up to 71,412 and 27,350 African ancestry individuals, respectively, our results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants. Trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.

A genome-wide linkage and association analysis of imputed insertions and deletions with cardiometabolic phenotypes in Mexican Americans: The Insulin Resistance Atherosclerosis Family Study.

Insertions and deletions (INDELs) represent a significant fraction of interindividual variation in the human genome yet their contribution to phenotypes is poorly understood. To confirm the quality of imputed INDELs and investigate their roles in mediating cardiometabolic phenotypes, genome-wide association and linkage analyses were performed for 15 phenotypes with 1,273,952 imputed INDELs in 1,024 Mexican-origin Americans. Imputation quality was validated using whole exome sequencing with an average kappa of 0.93 in common INDELs (minor allele frequencies [MAFs] ≥ 5%). Association analysis revealed one genome-wide significant association signal for the cholesterylester transfer protein gene (CETP) with high-density lipoprotein levels (rs36229491, P = 3.06 × 10-12 ); linkage analysis identified two peaks with logarithm of the odds (LOD) > 5 (rs60560566, LOD = 5.36 with insulin sensitivity (SI ) and rs5825825, LOD = 5.11 with adiponectin levels). Suggestive overlapping signals between linkage and association were observed: rs59849892 in the WSC domain containing 2 gene (WSCD2) was associated and nominally linked with SI (P = 1.17 × 10-7 , LOD = 1.99). This gene has been implicated in glucose metabolism in human islet cell expression studies. In addition, rs201606363 was linked and nominally associated with low-density lipoprotein (P = 4.73 × 10-4 , LOD = 3.67), apolipoprotein B (P = 1.39 × 10-3 , LOD = 4.64), and total cholesterol (P = 1.35 × 10-2 , LOD = 3.80) levels. rs201606363 is an intronic variant of the UBE2F-SCLY (where UBE2F is ubiquitin-conjugating enzyme E2F and SCLY is selenocysteine lyase) fusion gene that may regulate cholesterol through selenium metabolism. In conclusion, these results confirm the feasibility of imputing INDELs from array-based single nucleotide polymorphism (SNP) genotypes. Analysis of these variants using association and linkage replicated previously identified SNP signals and identified multiple novel INDEL signals. These results support the inclusion of INDELs into genetic studies to more fully interrogate the spectrum of genetic variation.

Demographic Assessment of Plant Cultivar Resistance to Insect Pests: A Case Study of the Dusky-Veined Walnut Aphid (Hemiptera: Callaphididae) on Five Walnut Cultivars.

To provide a comprehensive evaluation of walnut cultivar resistance to the dusky-veined walnut aphid, Panaphis juglandis (Goeze), we collected the life table data of this aphid reared on five cultivars of walnut ('Akça I,' 'Chandler,' 'Fernette,' 'Fernor,' and 'Pedro') under field conditions. The raw data of the developmental time, survival rate, and fecundity was analyzed using the age-stage, two-sex life table to account for the variable developmental rate and stage differentiation among individuals. Due to the species' longer immature developmental time, shorter adult longevity, shorter reproduction period, and lower fecundity, the net reproduction rate (R0=5.9 offspring), intrinsic rate of increase (r=0.0983 d(-1)), and finite rate (λ=1.1034 d(-1)) were the lowest when aphids were reared on the Fernor cultivar, while those reared on Akça I exhibited the highest population parameters (R0=18.0 offspring, r=0.2031 d(-1), and λ=1.2252 d(-1)). Based on the population characteristics, Fernor is a less favorable cultivar for the development and reproduction of P. juglandis. We also demonstrated the advantages of using bootstrapping for the analysis of standard errors of developmental time, longevity, fecundity, and other parameters as well. Our results indicated that demographic analysis of pest development, survival, and reproduction based on the age-stage, two-sex life table offers a comprehensive assessment of pest growth potential on different crop cultivars.

Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data.

BACKGROUND: Genotype imputation is an important tool for whole-genome prediction as it allows cost reduction of individual genotyping. However, benefits of genotype imputation have been evaluated mostly for linear additive genetic models. In this study we investigated the impact of employing imputed genotypes when using more elaborated models of phenotype prediction. Our hypothesis was that such models would be able to track genetic signals using the observed genotypes only, with no additional information to be gained from imputed genotypes. RESULTS: For the present study, an outbred mice population containing 1,904 individuals and genotypes for 1,809 pre-selected markers was used. The effect of imputation was evaluated for a linear model (the Bayesian LASSO - BL) and for semi and non-parametric models (Reproducing Kernel Hilbert spaces regressions - RKHS, and Bayesian Regularized Artificial Neural Networks - BRANN, respectively). The RKHS method had the best predictive accuracy. Genotype imputation had a similar impact on the effectiveness of BL and RKHS. BRANN predictions were, apparently, more sensitive to imputation errors. In scenarios where the masking rates were 75% and 50%, the genotype imputation was not beneficial. However, genotype imputation incorporated information about important markers and improved predictive ability, especially for body mass index (BMI), when genotype information was sparse (90% masking), and for body weight (BW) when the reference sample for imputation was weakly related to the target population. CONCLUSIONS: In conclusion, genotype imputation is not always helpful for phenotype prediction, and so it should be considered in a case-by-case basis. In summary, factors that can affect the usefulness of genotype imputation for prediction of yet-to-be observed traits are: the imputation accuracy itself, the structure of the population, the genetic architecture of the target trait and also the model used for phenotype prediction.

Microsurgical anatomy of the denticulate ligaments and their relationship with the axilla of the spinal nerve roots.

The denticulate ligaments (DL), 20 or 21 pairs of meningeal extensions, spread from the lateral aspect of the spinal cord to the internal aspect of the spinal dura mater. The aim of this study is to define the specific relationship of the DL with adjacent axilla of the spinal nerve roots and to investigate the anatomical features of the DLs and their variations. The topographical anatomy of the DLs and their relationships with the adjacent axilla of the spinal nerve roots was examined on 16 formalin-fixed adult cadaveric spinal cords. The distances from the dural attachment of the DL to the axilla of the superior and inferior spinal nerve roots were measured bilaterally at every spinal level. Also the distances from the dural attachment of the DL to the lateral aspect of the spinal cord were measured bilaterally. Cervical DLs showed a triangular shape, while in the thoracic segment the ligament changes the shape to "Y." Also the most caudal DL was identified to be at the L1-2 level. Our study revealed that the distances from the dural attachment of the DL to the superior and inferior spinal nerve root axilla were different at the cervical, upper thoracic and the lower thoracic segments. Both distances to the superior and inferior spinal nerve root axilla were shown to increase from cervical to lower thoracic segments. This study provides a detailed anatomy of the DLs and their relationship with the adjacent spinal nerve root axilla.

Comparison of synchronisation and fertility after different modifications of the ovsynch protocol in cyclic dairy cows.

The objectives of this study were to evaluate the effects of (1) double doses of PGF2α administration or (2) an exogenous progesterone (CIDR) applied concurrently with, or (3) the day after, first GnRH of Ovsynch (GnRH-1), on synchronisation and fertility during the Ovsynch protocol. All cows (n = 378) received the Ovsynch protocol (GnRH-7d-PGF2α-56h-GnRH-18h-TAI). The 'OVS' group (n = 105) received only the Ovsynch protocol. The 'OVS-PGF' group (n = 118, GnRH-7d-PGF2α-12h-PGF2α-44h-GnRH-18h-TAI) received an extra dose of PGF2α 12 h later on Day 7. The 'OVS-7CIDR' group (n = 78, GnRH+CIDR-7d-PGF2α-56h-GnRH-18h-TAI) received a CIDR for 7 days between GnRH-1 and PGF2α. In the 'OVS-6CIDR' group (n = 77, GnRH-24h-CIDR-6d-PGF2α-56h-GnRH-18h-TAI), CIDR was applied one day after GnRH-1 and removed 6 days later. When all cows were evaluated, the responses to GnRH-2 were higher (P = 0.005) in cows that responded to GnRH-1 (95.4%) compared to the cows that did not respond (87.6%). The pregnancy rates at 31 and 62 days for each group were 48.6% and 42.9% in the OVS, 54.2% and 52.5% in the OVS-PGF, 52.6% and 48.7% in the OVS-7CIDR, and 55.8% and 49.3% in the OVS-6CIDR groups. Thus, none of the three different treatments has an effect on increasing the out-comes of the Ovsynch protocol in cyclic lactating dairy cows.

Day one versus day zero postoperative physical therapy among patients with lumbar spinal fusion: a length of stay comparison.

BACKGROUND CONTEXT: Postoperative physical therapy (PT) following lumbar spinal fusion is an effective form of postoperative rehabilitation. However, it is unknown when a postoperative PT protocol should be optimally initiated. PURPOSE: This study sought to compare lengths of stay between patients on a day zero PT protocol and those on a day one PT protocol. STUDY DESIGN/SETTING: Retrospective chart review. PATIENT SAMPLE: Patients who underwent lumbar spinal surgery at a large midwestern tertiary medical care center from January 1, 2018 through April 30, 2019 were eligible for their medical record's inclusion. PRIMARY OUTCOME MEASURE: Length of hospital stay following surgery. METHODS: Patients were stratified by having started postoperative PT on the same day as surgery (day zero) or having started postoperative PT on the day following surgery (day one). RESULTS: A total of 164 patients were included in the study, 69 in the day zero group and 95 patients in the day one group. Most patients were female (59%, n = 98), and patients' average age was 62 years (SD = 13). Average length of stay was 61 hours (SD = 20) for those on the day zero protocol and 75 hours (SD = 32) for those on the day one protocol. CONCLUSIONS: This study suggests that a postoperative physical therapy protocol initiated on day zero is associated with patients experiencing a shorter length of hospital stay compared to a similar PT protocol initiated on postoperative day one.

Placement of Intracranial Pressure Monitors by Non-neurosurgeons: A Follow-Up Study.

BACKGROUND: Some research suggests that physicians who are not neurosurgeons can safely place intracranial pressure (ICP) monitors. The purpose of this study was to compare intracranial pressure monitor placement complications between neurosurgeons, trauma physicians, and general surgery residents. We hypothesized that with appropriate training, general residents can safely place ICP monitors. METHODS: A 10-year retrospective chart review of all trauma patients that required ICP monitor placement between January 1, 2012, and December 31, 2021, was conducted. Comparisons were made between treatment groups. RESULTS: During the study period, 194 patients required ICP monitor placement. General surgery residents placed 94.3% of ICP monitors, 3.6% were placed by attending trauma physicians, and 2.1% by neurosurgeons. No ICP monitors were placed by attending trauma physicians or neurosurgeons between 2015 and 2018. Overall, minor complications during ICP monitor placement included device malfunction (2.7%) and inaccurate readings (.5%). There were no major complications during ICP monitor placement. Post-ICP monitor placement complications included one patient who experienced a central nervous system infection (.5%) and three patients who had mechanical problems (1.5%). No complications occurred among the neurosurgeon or attending trauma physician treatment groups. CONCLUSION: Most intracranial pressure monitors in our study sample were safely placed by surgical residents. Based on our study findings and considering the shortage and downtrend of neurosurgery specialists, ICP bolt placement needs to become a core clinical skill in surgical resident programs across the United States.

Forecasting Rural and Urban Otolaryngologists, Radiation Oncologists, and Oropharyngeal Carcinoma.

OBJECTIVE: To forecast oropharyngeal carcinoma (OPC) incidence with otolaryngologist and radiation oncologist numbers per population by rural and urban counties through 2030. METHODS: Incident OPC cases were abstracted from the Surveillance, Epidemiology, and End Results 19 database, and otolaryngologists and radiation oncologists from the Area Health Resources File by county from 2000 to 2018. Variables were analyzed by metropolitan counties with over 1,000,000 people (large metros), rural counties adjacent to a metro (rural adjacent), and rural counties not adjacent to a metro (rural not adjacent). Data were forecasted via an unobserved components model with regression slope comparisons. RESULTS: Per 100,000 population, forecasted OPC incidence increased from 2000 to 2030 (large metro: 3.6 to 10.6 cases; rural adjacent: 4.2 to 11.9; rural not adjacent: 4.3 to 10.1). Otolaryngologists remained stable for large metros (2.9 to 2.9) but declined in rural adjacent (0.7 to 0.2) and rural not adjacent (0.8 to 0.7). Radiation oncologists increased from 1.0 to 1.3 in large metros, while rural adjacent remained similar (0.2 to 0.2) and rural not adjacent increased (0.2 to 0.6). Compared to large metros, regression slope comparisons indicated similar forecasted OPC incidence for rural not adjacent (p = 0.58), but greater for rural adjacent (p < 0.001, r = 0.96). Otolaryngologists declined for rural regions (p < 0.001 and p < 0.001, r = -0.56, and r = -0.58 for rural adjacent and not adjacent, respectively). Radiation oncologists declined in rural adjacent (p < 0.001, r = -0.61), while increasing at a lesser rate for rural not adjacent (p = 0.002, r = 0.96). CONCLUSIONS: Rural OPC incidence disparities will grow while the relevant, rural health care workforce declines. LEVEL OF EVIDENCE: NA Laryngoscope, 134:136-142, 2024.

Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models.

BACKGROUND: Artificial neural networks (ANN) mimic the function of the human brain and are capable of performing massively parallel computations for data processing and knowledge representation. ANN can capture nonlinear relationships between predictors and responses and can adaptively learn complex functional forms, in particular, for situations where conventional regression models are ineffective. In a previous study, ANN with Bayesian regularization outperformed a benchmark linear model when predicting milk yield in dairy cattle or grain yield of wheat. Although breeding values rely on the assumption of additive inheritance, the predictive capabilities of ANN are of interest from the perspective of their potential to increase the accuracy of prediction of molecular breeding values used for genomic selection. This motivated the present study, in which the aim was to investigate the accuracy of ANN when predicting the expected progeny difference (EPD) of marbling score in Angus cattle. Various ANN architectures were explored, which involved two training algorithms, two types of activation functions, and from 1 to 4 neurons in hidden layers. For comparison, BayesCπ models were used to select a subset of optimal markers (referred to as feature selection), under the assumption of additive inheritance, and then the marker effects were estimated using BayesCπ with π set equal to zero. This procedure is referred to as BayesCpC and was implemented on a high-throughput computing cluster. RESULTS: The ANN with Bayesian regularization method performed equally well for prediction of EPD as BayesCpC, based on prediction accuracy and sum of squared errors. With the 3K-SNP panel, for example, prediction accuracy was 0.776 using BayesCpC, and ranged from 0.776 to 0.807 using BRANN. With the selected 700-SNP panel, prediction accuracy was 0.863 for BayesCpC and ranged from 0.842 to 0.858 for BRANN. However, prediction accuracy for the ANN with scaled conjugate gradient back-propagation was lower, ranging from 0.653 to 0.689 with the 3K-SNP panel, and from 0.743 to 0.793 with the selected 700-SNP panel. CONCLUSIONS: ANN with Bayesian regularization performed as well as linear Bayesian regression models in predicting additive genetic values, supporting the idea that ANN are useful as universal approximators of functions of interest in breeding contexts.

Characteristics, treatment and outcomes of HER2 positive male breast cancer.

BACKGROUND: Research describing male breast cancer with HER2 overexpression is limited. This study evaluated the characteristics, treatment, and outcomes of HER2 positive breast cancer in men. METHODS: Information for January 2010 through December 2017 was obtained from the SEER Research Plus database. RESULTS: Four hundred sixty-two men were HER2 positive (13%) of 3594 cases of breast cancer. Compared to HER2 negative patients, these patients were younger at diagnosis (63 vs. 67 years, p < 0.001), had more poorly differentiated cancer (Grade III 53% vs. 33%, p < 0.001), and larger tumor size (28.8 vs. 24.6 mm, p < 0.001). HER2 positive males also had distant site and/or contralateral lymph node involvement more often (13% vs. 7%, p < 0.001), had higher rate of cancer-related mortality (15% vs. 10%, p = 0.002), and shorter overall survival (34 vs. 38 months, p = 0.004). CONCLUSION: Men diagnosed with HER2 positive breast cancer had more advanced disease at diagnosis and worse outcomes than HER2 negative men despite increased utilization of systemic therapy.

Hospital workforce engagement, satisfaction, burnout and effects on patient mortality: Findings from the English national health service staff surveys.

Previous studies of healthcare organizations' workforces and their performance have focused on burnout and its impact on care. The aim of this research is to expand on this and examine the association of positive organizational states, engagement and recommendation of employer as a place to work, in comparison to burnout on Hospital performance. Methods: This was a panel study of the respondents to the 2012-2019 yearly Staff Surveys of the English National Health Service (NHS) hospital Trusts with hospital performance measured by the adjusted inpatient Summary Hospital-level Mortality Indicator (SHMI). Results: In univariable regression, all three organizational states significantly and negatively correlated with SHMI, with recommendation and engagement showing a nonlinear effect. In multivariable analysis, all three states remained significant predictors of SHMI. Engagement and recommendation showed mutual correlation, with engagement being a more prevalent state than recommendation. Conclusion: Our study indicates that organizations could benefit from monitoring multiple workforce variables to preserve or enhance workforce well-being, while optimizing organizational performance. The surprising finding that higher burnout was associated with improved short-term performance requires further investigation, as does the finding of less frequent staff recommendation of work compared to staff engagement with their work.