Predictors of In-Hospital Mortality and Home Discharge in Patients with Aneurysmal Subarachnoid Hemorrhage: A 4-Year Retrospective Analysis.

BACKGROUND: Factors associated with discharge disposition and mortality following aneurysmal subarachnoid hemorrhage (aSAH) are not well-characterized. We used a national all-payer database to identify factors associated with home discharge and in-hospital mortality. METHODS: The National Inpatient Sample was queried for patients with aSAH within a 4-year range. Weighted multivariable logistic regression models were constructed and adjusted for age, sex, race, household income, insurance status, comorbidity burden, National Inpatient Sample SAH Severity Score, disease severity, treatment modality, in-hospital complications, and hospital characteristics (size, teaching status, and region). RESULTS: Our sample included 37,965 patients: 33,605 were discharged alive and 14,350 were discharged home. Black patients had lower odds of in-hospital mortality compared with White patients (adjusted odds ratio [aOR] = 0.67, 95% confidence interval [CI] 0.52-0.86, p = 0.002). Compared with patients with private insurance, those with Medicare were less likely to have a home discharge (aOR = 0.58, 95% CI 0.46-0.74, p < 0.001), whereas those with self-pay (aOR = 2.97, 95% CI 2.29-3.86, p < 0.001) and no charge (aOR = 3.21, 95% CI 1.57-6.55, p = 0.001) were more likely to have a home discharge. Household income percentile was not associated with discharge disposition or in-hospital mortality. Paradoxically, increased number of Elixhauser comorbidities was associated with significantly lower odds of in-hospital mortality. CONCLUSIONS: We demonstrate independent associations with hospital characteristics, patient characteristics, and treatment characteristics as related to discharge disposition and in-hospital mortality following aSAH, adjusted for disease severity.

Epidemiology, clinical presentation and management of COVID-19 associated mucormycosis: A single centre experience from Pune, Western India.

BACKGROUND: The second COVID-19 wave in India has been associated with an unprecedented increase in cases of COVID-19 associated mucormycosis (CAM), mainly Rhino-orbito-cerebral mucormycosis (ROCM). METHODS: This retrospective cohort study was conducted at Noble hospital and Research Centre (NHRC), Pune, India, between 1 April, 2020, and 1 August, 2021, to identify CAM patients and assess their management outcomes. The primary endpoint was incidence of all-cause mortality due to CAM. RESULTS: 59 patients were diagnosed with CAM. Median duration from the first positive COVID-19 RT PCR test to diagnosis of CAM was 17 (IQR: 12,22) days. 90% patients were diabetic with 89% having uncontrolled sugar level (HbA1c >7%). All patients were prescribed steroids during treatment for COVID-19. 56% patients were prescribed steroids for non-hypoxemic, mild COVID-19 (irrational steroid therapy), while in 9%, steroids were prescribed in inappropriately high dose. Patients were treated with a combination of surgical debridement (94%), intravenous liposomal Amphotericin B (91%) and concomitant oral Posaconazole (95.4%). 74.6% patients were discharged after clinical and radiologic recovery while 25.4% died. On relative risk analysis, COVID-19 CT severity index ≥18 (p = .017), presence of orbital symptoms (p = .002), presence of diabetic ketoacidosis (p = .011) and cerebral involvement (p = .0004) were associated with increased risk of death. CONCLUSIONS: CAM is a rapidly progressive, angio-invasive, opportunistic fungal infection, which is fatal if left untreated. Combination of surgical debridement and antifungal therapy leads to clinical and radiologic improvement in majority of cases.

Stereotactic radiosurgery and resection for treatment of multiple brain metastases: a systematic review and analysis.

OBJECTIVE: Stereotactic radiosurgery (SRS) has recently emerged as a minimally invasive alternative to resection for treating multiple brain metastases. Given the lack of consensus regarding the application of SRS versus resection for multiple brain metastases, the authors aimed to conduct a systematic literature review of all published work on the topic. METHODS: The PubMed, OVID, Cochrane, Web of Science, and Scopus databases were used to identify studies that examined clinical outcomes after resection or SRS was performed in patients with multiple brain metastases. Radiological studies, case series with fewer than 3 patients, pediatric studies, or national database studies were excluded. Data extracted included patient demographics and mean overall survival (OS). Weighted t-tests and ANOVA were performed. RESULTS: A total of 1300 abstracts were screened, 450 articles underwent full-text review, and 129 studies met inclusion criteria, encompassing 20,177 patients (18,852 treated with SRS and 1325 who underwent resection). The OS for the SRS group was 10.2 ± 6 months, and for the resection group it was 6.5 ± 3.8 months. A weighted ANOVA test comparing OS with covariates of age, sex, and publication year revealed that the treatment group (p = 0.045), age (p = 0.034), and publication year (0.0078) were all independently associated with OS (with SRS, younger age, and later publication year being associated with longer survival), whereas sex (p = 0.95) was not. CONCLUSIONS: For patients with multiple brain metastases, SRS and resection are effective treatments to prolong OS, with published data suggesting that SRS may have a trend toward lengthened survival outcomes. The authors encourage additional work examining outcomes of treatments for multiple brain metastases.

Inpatient virtual shared medical appointments to improve health literacy, increase patient self-efficacy, and reduce provider burnout in acute cerebrovascular pathology patients and their caregivers: a pilot study.

OBJECTIVE: Admission to the hospital for an acute cerebrovascular condition such as stroke or brain hemorrhage can be a traumatic and disorienting experience for patients and their family members. The COVID-19 pandemic has further intensified this experience in addition to exacerbating clinician and resident burnout. To ameliorate some of these concerns, a team of resident and medical student trainees implemented a virtual shared medical appointment (vSMA) program for inpatients with acute cerebrovascular disorders and their caregivers. The authors hypothesized that an early intervention in the form of a vSMA improves patient and caregiver health literacy and preparedness while simultaneously educating clinical trainees on effective communication skills and reducing clinician burnout. METHODS: Patients and caregivers of admitted patients were identified through a census of neurosurgery, neurocritical care, and neurology electronic medical records. A weekly 60-minute secure virtual session consisted of introductions and a 10-minute standardized presentation on cerebrovascular disease management, followed by participant-guided discussion. Participants completed presession and postsession surveys. Through this small feasibility study data were obtained regarding present challenges, both expected and unforeseen. RESULTS: A total of 170 patients were screened, and 13 patients and 26 caregivers participated in at least 1 vSMA session. A total of 6 different healthcare providers facilitated sessions. The vSMA program received overwhelmingly positive feedback from caregivers. Survey responses demonstrated that 96.4% of caregivers and 75% of patients were satisfied with the session, 96.4% of caregivers and 87.5% of patients would recommend this type of appointment to a friend or family member, and 88.8% of providers reported feeling validated by conducting the session. The participant group had a 20% greater percentage of patients discharged home without home needs compared to the nonparticipant group. The primary obstacles encountered included technological frustrations with the consent process and the sessions themselves. CONCLUSIONS: Implementation of a vSMA program at a tertiary care center during a pandemic was feasible. Themes caregivers expressed on the postsession survey included better understanding of caring for a stroke patient and coping with the unpredictability of a patient's prognosis. The pandemic has precipitated shifts toward telehealth, but this study highlights the importance of avoiding marginalization of elderly and less technologically inclined populations.

Deep Brain Stimulation Compared With Contingency Management for the Treatment of Cocaine Use Disorders: A Threshold and Cost-Effectiveness Analysis.

OBJECTIVES: Cocaine is the second most frequently used illicit drug worldwide (after cannabis), and cocaine use disorder (CUD)-related deaths increased globally by 80% from 1990 to 2013. There is yet to be a regulatory-approved treatment. Emerging preclinical evidence indicates that deep brain stimulation (DBS) of the nucleus accumbens may be a therapeutic option. Prior to expanding the costly investigation of DBS for treatment of CUD, it is important to ensure societal cost-effectiveness. AIMS: We conducted a threshold and cost-effectiveness analysis to determine the success rate at which DBS would be equivalent to contingency management (CM), recently identified as the most efficacious therapy for treatments of CUDs. MATERIALS AND METHODS: Quality of life, efficacy, and safety parameters for CM were obtained from previous literature. Costs were calculated from a societal perspective. Our model predicted the utility benefit based on quality-adjusted life-years (QALYs) and incremental-cost-effectiveness ratio resulting from two treatments on a one-, two-, and five-year timeline. RESULTS: On a one-year timeline, DBS would need to impart a success rate (ie, cocaine free) of 70% for it to yield the same utility benefit (0.492 QALYs per year) as CM. At no success rate would DBS be more cost-effective (incremental-cost-effectiveness ratio <$50,000) than CM during the first year. Nevertheless, as DBS costs are front loaded, DBS would need to achieve success rates of 74% and 51% for its cost-effectiveness to exceed that of CM over a two- and five-year period, respectively. CONCLUSIONS: We find DBS would not be cost-effective in the short term (one year) but may be cost-effective in longer timelines. Since DBS holds promise to potentially be a cost-effective treatment for CUDs, future randomized controlled trials should be performed to assess its efficacy.

Physician empathy during crisis: A survey of doctors in COVID-19 pandemic (COPE study).

Background: There is a lack of research studies on physician empathy levels towards patients, which is a critical component of providing high-quality patient-care and satisfaction. Our study aimed at assessing the physician-reported empathy levels towards patients during a crisis like the ongoing COVID-19 pandemic. Methods: Cross-sectional online-based survey was conducted among 409 practicing doctors from varied healthcare levels during the pandemic. We used a validated Jefferson Physician's Empathy (JPE) - Health Professional (HP) version questionnaire. Empathy score was expressed as a median and interquartile range, and the analysis was done in STATA 12.1 (StataCorp LP, Texas, USA). Results: Among the survey respondents, 55% were between 26-35 years, 56% were from the government health sector, and 57% were male doctors. Overall physicians' empathy score was 100 (89, 113). The empathy score among physicians engaged in OPD duty was significantly higher (p = 0.022). A total of 70.0% of physicians consulting more than 50 patients/day reported a score ≤105 (p = 0.035). Physicians aged more than 40 years (AOR = 2.545, 95% CI = 1.1133, 5.8184) and those working in government healthcare centers (AOR = 2.711, 95% CI = 1.1372, 6.4616) were about three times more likely to have a score >105 compared to younger physicians (p = 0.027) and private practitioners (p = 0.024). Conclusion: Physician-reported empathy scores during the COVID pandemic were high. Middle-aged physicians involved in OPD consultation and those working in government healthcare recorded good scores. However, reporting lower empathy scores when the patient load increases highlights the need for administrative and medical education interventions.

Survey of antidoping knowledge, attitudes and practices amongst elite Indian sportsmen and the way forward.

BACKGROUND: Indian sportspersons have reported several antidoping rule violations with several cases suggesting inadvertent use of prohibited substances. This study was designed to evaluate the anti-doping knowledge, attitudes and practices amongst elite Indian sportsmen to suggest future interventions. METHODS: This study conducted at a Sports institute used an anonymized questionnaire to survey 181 male (18-35 years old) elite young athletes' attitudes toward performance-enhancing substances and anti-doping rules. RESULTS: Athlete awareness regarding antidoping agencies and antidoping rule violations was poor. 40% or less reported receiving antidoping updates. All reported improvement in antidoping knowledge and attitude changes after attending updates. Health is more important than sporting performance for 80% or more. Very low percentage reported consumption of banned substances amongst themselves and team mates. One-third of these athletes reported not having being tested for banned substances. Athletes who have attended antidoping sessions exhibit significantly higher knowledge levels and a significantly higher 80% reported consulting their Team doctor before any therapeutic drug use as compared with non-attendees. CONCLUSION: Indian elite athletes report low awareness about anti-doping rules and prohibited substances with low proportion of athletes reporting doping and being tested for doping. Grass root level education, supplement regulation, trained athlete support personnel and accessible reference material seems to be the way forward.

Cost-effectiveness analysis of responsive neurostimulation for drug-resistant focal onset epilepsy.

OBJECTIVE: We evaluated the incremental cost-effectiveness of responsive neurostimulation (RNS) therapy for management of medically refractory focal onset seizures compared to pharmacotherapy alone. METHODS: We created and analyzed a decision model for treatment with RNS therapy versus pharmacotherapy using a semi-Markov process. We adopted a public payer perspective and used the maximum duration of 9 years in the RNS long-term follow-up study as the time horizon. We used seizure frequency data to model changes in quality of life and estimated the impact of RNS therapy on the annual direct costs of epilepsy care. The model also included expected mortality, adverse events, and costs related to system implantation, programming, and replacement. We interpreted our results against societal willingness-to-pay thresholds of $50 000, $100 000, and $200 000 per quality-adjusted life year (QALY). RESULTS: Based on three different calculated utility value estimates, the incremental cost-effectiveness ratio (ICER) for RNS therapy (with continued pharmacotherapy) compared to pharmacotherapy alone ranged between $28 825 and $46 596. Multiple sensitivity analyses yielded ICERs often below $50 000 per QALY and consistently below $100 000/QALY. SIGNIFICANCE: Modeling based on 9 years of available data demonstrates that RNS therapy for medically refractory epilepsy very likely falls within the range of cost-effectiveness, depending on method of utility estimation, variability in model inputs, and willingness-to-pay threshold. Several factors favor improved cost-effectiveness in the future. Given the increasing focus on delivering cost-effective care, we hope that this analysis will help inform clinical decision-making for this surgical option for refractory epilepsy.

Slow progress in the visibility of women in neurosurgery in the United States: opportunity for improvement.

OBJECTIVE: The goal of this study was to analyze the visibility of women within organized neurosurgery, including leadership positions, lectureships, and honored guest/award recipients at neurosurgical conferences. METHODS: A cross-sectional study was used to analyze the gender demographics within the five major national neurosurgical societies (Congress of Neurological Surgeons [CNS], American Association of Neurological Surgeons [AANS], Society of Neurological Surgeons [SNS], American Board of Neurological Surgery [ABNS], and Council of State Neurosurgical Societies [CSNS]) from 2000 to 2020. Data for top leadership positions, keynote speakers, honored guests, and invited lectureships at these neurosurgical societies were reviewed. Additionally, national neurosurgical residency match data from 2018 to 2020 were collected. For each aforementioned data point, gender was determined and confirmed via publicly available data. Data from the US News and World Report best hospitals publication for 2020 were applied for analyzing gender trends within neurosurgical residencies specifically. RESULTS: In the past 2 decades (2000-2020), top leadership positions across the neurosurgical organizations were held by 45 individuals, of whom 5 (11.1%) were women. Spanning from 2000 to 2018, just 8.1% (50 of 618) of guests/honored speakers on the national neurosurgical stage of the CNS, AANS, SNS, and CSNS meetings have been female. Excluding the Louise Eisenhardt Lecture (honoring women), the percentage of female guests/honored speakers at the AANS meeting was just 5% (17 of 367). For the CNS annual meetings, 13.4% (20 of 149) of the speakers were women from 2000 to 2018, whereas the CSNS annual meeting data from 2001 to 2018 found that 11.9% (7 of 59) of speakers were women. From 1952 to the present, there have been no female honored guests at the CNS annual meeting. Across the residency match cycles from 2018 to 2020, the percentages of matched applicants identifying as female have been 22.7%, 28.1%, and, most recently, 25.3%. The percentage of female residents is 28.5% (top 20 program) versus 24.3% (non-top 20 program) (p = 0.267). CONCLUSIONS: This study found that for all the data points surveyed, including leadership positions, invited lectureships at national neurosurgical meetings, and successful neurosurgical residency applicants, disproportionate female underrepresentation was evident. Consistent lack of visibility leads to a negative impact on progress in the recruitment and retention of women in neurosurgery. Visibility, mentorship, role models, and sponsorship are highly interrelated processes and are essential for meaningful progress.

Dysregulation of multiple metabolic networks related to brain transmethylation and polyamine pathways in Alzheimer disease: A targeted metabolomic and transcriptomic study.

BACKGROUND: There is growing evidence that Alzheimer disease (AD) is a pervasive metabolic disorder with dysregulation in multiple biochemical pathways underlying its pathogenesis. Understanding how perturbations in metabolism are related to AD is critical to identifying novel targets for disease-modifying therapies. In this study, we test whether AD pathogenesis is associated with dysregulation in brain transmethylation and polyamine pathways. METHODS AND FINDINGS: We first performed targeted and quantitative metabolomics assays using capillary electrophoresis-mass spectrometry (CE-MS) on brain samples from three groups in the Baltimore Longitudinal Study of Aging (BLSA) (AD: n = 17; Asymptomatic AD [ASY]: n = 13; Control [CN]: n = 13) (overall 37.2% female; mean age at death 86.118 ± 9.842 years) in regions both vulnerable and resistant to AD pathology. Using linear mixed-effects models within two primary brain regions (inferior temporal gyrus [ITG] and middle frontal gyrus [MFG]), we tested associations between brain tissue concentrations of 26 metabolites and the following primary outcomes: group differences, Consortium to Establish a Registry for Alzheimer's Disease (CERAD) (neuritic plaque burden), and Braak (neurofibrillary pathology) scores. We found significant alterations in concentrations of metabolites in AD relative to CN samples, as well as associations with severity of both CERAD and Braak, mainly in the ITG. These metabolites represented biochemical reactions in the (1) methionine cycle (choline: lower in AD, p = 0.003; S-adenosyl methionine: higher in AD, p = 0.005); (2) transsulfuration and glutathione synthesis (cysteine: higher in AD, p < 0.001; reduced glutathione [GSH]: higher in AD, p < 0.001); (3) polyamine synthesis/catabolism (spermidine: higher in AD, p = 0.004); (4) urea cycle (N-acetyl glutamate: lower in AD, p < 0.001); (5) glutamate-aspartate metabolism (N-acetyl aspartate: lower in AD, p = 0.002); and (6) neurotransmitter metabolism (gamma-amino-butyric acid: lower in AD, p < 0.001). Utilizing three Gene Expression Omnibus (GEO) datasets, we then examined mRNA expression levels of 71 genes encoding enzymes regulating key reactions within these pathways in the entorhinal cortex (ERC; AD: n = 25; CN: n = 52) and hippocampus (AD: n = 29; CN: n = 56). Complementing our metabolomics results, our transcriptomics analyses also revealed significant alterations in gene expression levels of key enzymatic regulators of biochemical reactions linked to transmethylation and polyamine metabolism. Our study has limitations: our metabolomics assays measured only a small proportion of all metabolites participating in the pathways we examined. Our study is also cross-sectional, limiting our ability to directly test how AD progression may impact changes in metabolite concentrations or differential-gene expression. Additionally, the relatively small number of brain tissue samples may have limited our power to detect alterations in all pathway-specific metabolites and their genetic regulators. CONCLUSIONS: In this study, we observed broad dysregulation of transmethylation and polyamine synthesis/catabolism, including abnormalities in neurotransmitter signaling, urea cycle, aspartate-glutamate metabolism, and glutathione synthesis. Our results implicate alterations in cellular methylation potential and increased flux in the transmethylation pathways, increased demand on antioxidant defense mechanisms, perturbations in intermediate metabolism in the urea cycle and aspartate-glutamate pathways disrupting mitochondrial bioenergetics, increased polyamine biosynthesis and breakdown, as well as abnormalities in neurotransmitter metabolism that are related to AD.

Correction: Dysregulation of multiple metabolic networks related to brain transmethylation and polyamine pathways in Alzheimer disease: A targeted metabolomic and transcriptomic study.

[This corrects the article DOI: 10.1371/journal.pmed.1003012.].

Biological sex and DNA repair deficiency drive Alzheimer's disease via systemic metabolic remodeling and brain mitochondrial dysfunction.

Alzheimer's disease (AD) is an incurable neurodegenerative disease that is more prevalent in women. The increased risk of AD in women is not well understood. It is well established that there are sex differences in metabolism and that metabolic alterations are an early component of AD. We utilized a cross-species approach to evaluate conserved metabolic alterations in the serum and brain of human AD subjects, two AD mouse models, a human cell line, and two Caenorhabditis elegans AD strains. We found a mitochondrial complex I-specific impairment in cortical synaptic brain mitochondria in female, but not male, AD mice. In the hippocampus, Polß haploinsufficiency caused synaptic complex I impairment in male and female mice, demonstrating the critical role of DNA repair in mitochondrial function. In non-synaptic, glial-enriched, mitochondria from the cortex and hippocampus, complex II-dependent respiration increased in female, but not male, AD mice. These results suggested a glial upregulation of fatty acid metabolism to compensate for neuronal glucose hypometabolism in AD. Using an unbiased metabolomics approach, we consistently observed evidence of systemic and brain metabolic remodeling with a shift from glucose to lipid metabolism in humans with AD, and in AD mice. We determined that this metabolic shift is necessary for cellular and organismal survival in C. elegans, and human cell culture AD models. We observed sex-specific, systemic, and brain metabolic alterations in humans with AD, and that these metabolite changes significantly correlate with amyloid and tau pathology. Among the most significant metabolite changes was the accumulation of glucose-6-phosphate in AD, an inhibitor of hexokinase and rate-limiting metabolite for the pentose phosphate pathway (PPP). Overall, we identified novel mechanisms of glycolysis inhibition, PPP, and tricarboxylic acid cycle impairment, and a neuroprotective augmentation of lipid metabolism in AD. These findings support a sex-targeted metabolism-modifying strategy to prevent and treat AD.

Racial demographics and COVID-19 confirmed cases and deaths: a correlational analysis of 2886 US counties.

BACKGROUND: Recent news reports state that racial minority groups, such as African-Americans, are experiencing a greater COVID-19 burden, as measured by confirmed cases and deaths. Limited racial data is available on a national level. METHODS: We conducted the first nationwide analysis to examine COVID-19 and race on a county level. We obtained datasets on COVID-19 cases and deaths, and racial population totals, by US county. We examined if correlations exist between the racial percentages and percentages of confirmed COVID-19 cases and deaths by county. RESULTS: A positive correlation existed between percentages of African-Americans living in a county and who have COVID-19 (r = 0.254, P < 0.0001), who have died from COVID-19 (r = 0.268, P < 0.0001), and case mortality (r = 0.055, P = 0.003). Positive correlations also existed between percentages of Asian-Americans living in counties and these factors. Negative correlations existed between percentages of Whites living in counties and these factors. CONCLUSIONS: A weak, albeit very significant, positive relationship exists between the percentage of African-Americans living in a county and the percentage of COVID-19 confirmed cases, confirmed deaths and case mortality in the county. This is in support of many city and statewide analyses, and we urge for targeted resources towards work that further examine these racial associations.

Deep Brain Stimulation Results in Greater Symptomatic Improvement in Tourette Syndrome than Conservative Measures: A Meta-Analysis.

INTRODUCTION: Deep brain stimulation (DBS) has emerged as a safe and effective therapy for refractory Tourette syndrome (TS). Recent studies have identified several neural targets as effective in reducing TS symptoms with DBS, but, to our knowledge, none has compared the effectiveness of DBS with conservative therapy. METHODS: A literature review was performed to identify studies investigating adult patient outcomes reported as Yale Global Tic Severity Scale (YGTSS) scores after DBS surgery, pharmacotherapy, and psychotherapy. Data were pooled using a random-effects model of inverse variance-weighted meta-analysis (n = 168 for DBS, n = 131 for medications, and n = 154 for behavioral therapy). RESULTS: DBS resulted in a significantly greater reduction in YGTSS total score (49.9 ± 17.5%) than pharmacotherapy (22.5 ± 15.2%, p = 0.001) or psychotherapy (20.0 ± 11.3%, p < 0.001), with a complication (adverse effect) rate of 0.15/case, 1.13/case, and 0.60/case, respectively. CONCLUSION: Our data suggest that adult patients with refractory TS undergoing DBS experience greater symptomatic improvement with surprisingly low morbidity than can be obtained with pharmacotherapy or psychotherapy.

Blood Metabolite Signatures of Metabolic Syndrome in Two Cross-Cultural Older Adult Cohorts.

Metabolic syndrome (MetS) affects an increasing number of older adults worldwide. Cross-cultural comparisons can provide insight into how factors, including genetic, environmental, and lifestyle, may influence MetS prevalence. Metabolomics, which measures the biochemical products of cell processes, can be used to enhance a mechanistic understanding of how biological factors influence metabolic outcomes. In this study we examined associations between serum metabolite concentrations, representing a range of biochemical pathways and metabolic syndrome in two older adult cohorts: The Tsuruoka Metabolomics Cohort Study (TMCS) from Japan (n = 104) and the Baltimore Longitudinal Study of Aging (BLSA) from the United States (n = 146). We used logistic regression to model associations between MetS and metabolite concentrations. We found that metabolites from the phosphatidylcholines-acyl-alkyl, sphingomyelin, and hexose classes were significantly associated with MetS and risk factor outcomes in both cohorts. In BLSA, metabolites across all classes were uniquely associated with all outcomes. In TMCS, metabolites from the amino acid, biogenic amines, and free fatty acid classes were uniquely associated with MetS, and metabolites from the sphingomyelin class were uniquely associated with elevated triglycerides. The metabolites and metabolite classes we identified may be relevant for future studies exploring disease mechanisms and identifying novel precision therapy targets for individualized medicine.

Incidence of tuberculosis among HIV infected individuals on long term antiretroviral therapy in private healthcare sector in Pune, Western India.

BACKGROUND: Despite rapid scale up of antiretroviral therapy (ART), Tuberculosis (TB) remains the commonest opportunistic infection and cause of death among HIV infected individuals in resource limited settings like India. Incidence of TB in individuals on ART in private healthcare sector in India is infrequently studied. METHODS: This retrospective cohort study conducted between 1st March 2009 and 1st March 2017 aimed to evaluate rate of incident TB in individuals initiated on ART at 3 private sector ART clinics in Pune, India. Individuals more than 12 years of age with ART duration of atleast 6 months were included. Patients were classified as having prevalent TB if they had a TB episode within the year prior to ART initiation or if they developed TB within 6 months of starting ART. Individuals who were diagnosed with TB after 6 months of starting ART were classified as incident TB cases. A recurrent episode of TB after treatment completion or cure of prevalent TB was also regarded as incident TB. Patients were classified as definitive TB if Mycobacterium tuberculosis was grown in culture from a biological sample or a positive rapid molecular test. Patients were classified as probable TB if there was radiologic evidence of TB in absence of confirmatory culture or PCR. RESULTS: 1904 patients with a median duration of follow up on ART of 57 (IQR = 32.0, 84.0) months were included. Of these, 182 developed incident TB (22% definitive TB, 38% recurrent cases). TB incidence at 6-12 months, 13-24 months, 25-60 months and > 60 months of ART was 24.32, 5.46, 2.54 and 0.75 cases per 100 person years respectively. Current time updated CD4 count < 500 cells/mm3 (p < 0.0001), virologic failure on ART (adjusted Hazard Ratio (aHR): 3.05 (95% CI: 2.094, 4.454), p < 0.0001) and receipt of ART without IPT (aHR: 8.24 (95% CI, 3.358, 20.204), p < 0.0001) were associated with higher risk of incident TB. CONCLUSION: Starting ART early in treatment naïve individuals, prompt detection of virologic failure on ART and providing IPT along with ART will be useful in reducing incident TB. Efforts from private sector are crucial in achieving Sustainable Development Goals set by Government of India and attaining the vision of a TB free India.

Post-intense exercise sleep concerns in weightlifters: A pilot study.

BACKGROUND: Weightlifting is a power and dynamic strength game. Performance of weightlifters during competition depends on absolute and relative power output achieved by them. To enhance power and strength in weightlifters, training programmes have frequent high-intensity exercise sessions. On an informal interaction with the sportspersons, they often complain of problems after intense training. There was a felt need to analyse the problems they perceive after intense training. METHOD: A feedback form was developed after brainstorming with coaches and sports medicine physicians of a sports institute. Thirty-six male weightlifters aged 19.78 ± 4.71 yrs (mean ± standard deviation) of an institute participated after obtaining informed consent. The feedback form was collected and analysed. RESULT: After an intense exercise, participants reported complaints such as increased fatigue (n = 27), sleep problems (n = 26), restlessness (n = 18) and decreased appetite (n = 12). Of the sleep problems, 69.4% (n = 25 out of 36) noticed worsening of sleep, 50% (n = 18) noticed sleep was light after intense training, 58.3% (n = 21) felt difficulty in falling asleep, 47.2% (n = 7) complained of frequent waking up during sleep at night and 77.8% (n = 28) felt sleepy after waking up. CONCLUSION: Intense training encounters certain problems such as fatigue, sleep disturbances, restlessness and decreased appetite.

The association of COVID-19 with increased pediatric ventriculoatrial shunt failures: a national retrospective cohort.

OBJECTIVE: During the COVID-19 pandemic, the authors' institution managed ventriculoatrial (VA) shunt complications in 2 teenage patients in close proximity to a symptomatic COVID-19 infection. Systemic thrombotic events are an established complication of COVID-19 infection due to a hypercoagulable state. Thrombotic complications, particularly elevated central venous pressure, can cause VA shunt failure. The true effect of COVID-19 on patients with intravascular devices is currently unknown. In this study, the authors aimed to determine if there was an association between COVID-19 infection and VA shunt failure. METHODS: TriNetX, an aggregated electronic health record platform, was used to analyze data of more than 13 million US pediatric patients. Two matched cohorts of patients < 18 years of age with a VA shunt were defined. Group 1 (n = 311) had a positive laboratory test for COVID-19 from March 1, 2020, to March 31, 2022. Group 2 (n = 311), a control group, had any medical appointment from March 1, 2020, to March 31, 2022, and never had a positive laboratory test for COVID-19. The authors analyzed outcomes 1 year after testing positive for COVID-19 in group 1, and after the medical appointment in group 2. Outcomes included shunt complications, shunt revisions or replacements, and thromboembolic complications. To protect patient privacy, individual results of fewer than 10 patients are not specified in TriNetX. RESULTS: Group 1 had a greater odds of mechanical shunt complication than group 2 (20% vs 4%, OR 5.71, 95% CI 3.07-10.62). Group 1 had a greater odds of shunt reoperation than group 2 (11% vs < 3%, OR > 3.7, 95% CI 1.72-7.62). There were 1-10 patients in group 1 (≤ 3% of group 1) who experienced a thromboembolism due to the shunt, compared with no patients in group 2 who had a thromboembolism due to the shunt. CONCLUSIONS: This analysis demonstrates an association of shunt complications, reoperations, and thromboembolic events in patients with VA shunts following COVID-19 infection.

Indication as a predictor for outcomes in anterior cervical discectomy and fusion: The impact of myelopathy on disposition.

BACKGROUND: While the indication for Anterior Cervical Discectomy and Fusion (ACDF) may influence the expected postoperative course, there is limited data comparing how length of stay (LOS) and disposition for patients with myelopathy differ from those with radiculopathy. This study aimed to compare LOS and discharge disposition, in patients undergoing ACDF for cervical radiculopathy versus those for myelopathy. METHODS: A retrospective review of all adult ACDF cases between 2013 and 2019 was conducted analyzing sex, age, race, comorbidities, level of surgery, myelopathy measures when applicable, complications, dysphagia, hospital LOS, and discharge disposition. RESULTS: A total of 157 patients were included in the study with 73 patients undergoing an ACDF for radiculopathy and 84 for myelopathy. Univariate analysis determined older age (p < 0.01), male sex (p = 0.03), presence of CKD (p < 0.01) or COPD (p = 0.01), surgery at C3/4 level (p = 0.01), and indication (p < 0.01) as predictors for a discharge to either acute rehabilitation or a skilled nursing facility rather than to home. Multivariate logistic regression demonstrated age and indication as the only independent predictors of disposition, with home disposition being more likely with decreased age (OR 0.92, 95 % CI 0.86-0.98) and radiculopathy as the diagnosis (OR 6.72, 95 % CI 1.22- 37.02). CONCLUSIONS: Myelopathic patients, as compared to those with radiculopathy at presentation, had significantly longer LOS, increased dysphagia, and were more often discharged to a facility. Understanding these two distinct populations as separate entities will streamline the pre and post-surgical care as the current DRG codes and ICD 10 PCS do not differentiate the expected post-operative course in patients undergoing ACDF for myelopathy versus radiculopathy.

Predicting over-the-counter antibiotic use in rural Pune, India, using machine learning methods.

OBJECTIVES: Over-the-counter (OTC) antibiotic use can cause antibiotic resistance, threatening global public health gains. To counter OTC use, this study used machine learning (ML) methods to identify predictors of OTC antibiotic use in rural Pune, India. METHODS: The features of OTC antibiotic use were selected using stepwise logistic, lasso, random forest, XGBoost, and Boruta algorithms. Regression and tree-based models with all confirmed and tentatively important features were built to predict the use of OTC antibiotics. Five-fold cross-validation was used to tune the models' hyperparameters. The final model was selected based on the highest area under the curve (AUROC) with a 95% confidence interval (CI) and the lowest log-loss. RESULTS: In rural Pune, the prevalence of OTC antibiotic use was 35.9% (95% CI, 31.6 to 40.5). The perception that buying medicines directly from a medicine shop/pharmacy is useful, using antibiotics for eye-related complaints, more household members consuming antibiotics, and longer duration and higher doses of antibiotic consumption in rural blocks and other social groups were confirmed as important features by the Boruta algorithm. The final model was the XGBoost+Boruta model with 7 predictors (AUROC, 0.934; 95% CI, 0.891 to 0.978; log-loss, 0.279) log-loss. CONCLUSIONS: XGBoost+Boruta, with 7 predictors, was the most accurate model for predicting OTC antibiotic use in rural Pune. Using OTC antibiotics for eye-related complaints, higher consumption of antibiotics and the perception that buying antibiotics directly from a medicine shop/pharmacy is useful were identified as key factors for planning interventions to improve awareness about proper antibiotic use.