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Nevin Manimala Statistics

A Machine Learning Approach for the Prediction of Severe Acute Kidney Injury Following Traumatic Brain Injury

Neurocrit Care. 2022 Oct 4. doi: 10.1007/s12028-022-01606-z. Online ahead of print.

ABSTRACT

BACKGROUND: Acute kidney injury (AKI), a prevalent non-neurological complication following traumatic brain injury (TBI), is a major clinical issue with an unfavorable prognosis. This study aimed to develop and validate machine learning models to predict severe AKI (stage 3 or greater) incidence in patients with TBI.

METHODS: A retrospective cohort study was conducted by using two public databases: the Medical Information Mart for Intensive Care IV (MIMIC)-IV and the eICU Collaborative Research Database (eICU-CRD). Recursive feature elimination was used to select candidate predictors obtained within 24 h of intensive care unit admission. The area under the curve and decision curve analysis curves were used to determine the discriminatory ability. On the other hand, the calibration curve was employed to evaluate the calibrated performance of the newly developed machine learning models.

RESULTS: In the MIMIC-IV database, there were 808 patients diagnosed with moderate and severe TBI (msTBI) (msTBI is defined as Glasgow Coma Score < 12). Of these, 60 (7.43%) patients experienced severe AKI. External validation in the eICU-CRD indicated that the random forest (RF) model had the highest area under the curve of 0.819 (95% confidence interval 0.783-0.851). Furthermore, in the calibration curve, the RF model was well calibrated (P = 0.795).

CONCLUSIONS: In this study, the RF model demonstrated better discrimination in predicting severe AKI than other models. An online calculator could facilitate its application, potentially improving the early detection of severe AKI and subsequently improving the clinical outcomes among patients with msTBI.

PMID:36195818 | DOI:10.1007/s12028-022-01606-z

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Nevin Manimala Statistics

Patient and provider experience with virtual care in a large, ambulatory care hospital in Ontario, Canada during the COVID-19 pandemic: An observational study

J Med Internet Res. 2022 Aug 22. doi: 10.2196/38604. Online ahead of print.

ABSTRACT

BACKGROUND: Virtual care use increased during the COVID-19 pandemic. The impact on patient and provider experience of that shift is unclear.

OBJECTIVE: We evaluated patient and provider experience with virtual visits across an academic, ambulatory hospital in Toronto, Canada and assessed predictors of positive experience with virtual care.

METHODS: Survey data was analyzed from consenting patients who attended at least one virtual visit (video or telephone) and from consenting providers who delivered at least one virtual visit. Distributions for demographic variables and responses to survey questions are reported, with statistical significance assessed using chi-square tests and t-tests. Ordinal logistic regression was used to identify any patient predictors of responses.

RESULTS: During the study period, 253 patients (mean age(SD) 45.1 years (15.6)) completed 517 video visit surveys and 147 patients (41.6 (16.4)), completed 209 telephone visit surveys. A total of 75 and 94 providers completed the survey in June 2020 and June 2021, respectively. On a scale of 1-10 regarding likelihood to recommend virtual care to others, fewer providers rated a score of 8 or above compared to patients (providers: 66.0% for video and 52.2% for telephone versus patients: 80.3% for video and 71.8% for telephone). Patients of non-White ethnicity had lower odds of rating a high score of 9 or 10 compared to white patients (OR(95% CI) 0.52(0.28-0.99)).

CONCLUSIONS: Patient experiences with virtual care were generally positive, but provider experiences were less so. Findings suggest potential differences in patient experience by ethnicity, warranting further investigation into equity concerns with virtual care.

PMID:36194862 | DOI:10.2196/38604

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Nevin Manimala Statistics

Validation of a 3-Dimensional-Printed Infant Tibia for Intraosseous Needle Insertion Training

Simul Healthc. 2022 Sep 23. doi: 10.1097/SIH.0000000000000689. Online ahead of print.

ABSTRACT

INTRODUCTION: Current bone models used for pediatric intraosseous (IO) placement training are expensive or lack anatomic and/or functional fidelity. This technical report describes the development and validation of a 3-dimensional printed (3DP) tibia from a pediatric lower extremity computed tomography scan for IO procedural training.

METHODS: Multiple 3DP tibia models were printed using a dual-extrusion fused-filament fabrication printer. Models underwent iterative optimization until 2 final models, one of polypropylene (3DP clear) and the other of polylactic acid/polypropylene (3DP white), were selected. Using an exploratory sequential mixed-methods design, a novel IO bone model assessment tool was generated. Physicians then used the assessment tool to evaluate and compare common IO bone models to the novel 3DP models during IO needle insertion.

RESULTS: Thirty physicians evaluated the provided pediatric IO bone models. Compared with a chicken bone as a reference, the 3DP white bone had statistically significantly higher mean scores of anatomy, heft, sense of being anchored in the bone, quality of bone resistance, and “give” when interfaced with an IO needle. Twenty-two of the 30 participants ranked the 3DP white bone as either 1st or 2nd in terms of ranked preference of pediatric IO bone model. A 3DP white bone costs $1.10 to make.

CONCLUSIONS: The 3DP IO tibia models created from real-life computed tomography images have high degrees of anatomic and functional realism. These IO training models are easily replicable, highly appraised, and can be printed at a fraction of the cost of commercially available plastic models.

PMID:36194860 | DOI:10.1097/SIH.0000000000000689

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Nevin Manimala Statistics

Direct Comparison of Diagnostic Accuracy of Fast Kilovoltage Switching Dual-Energy Computed Tomography and Magnetic Resonance Imaging for Detection of Enhancement in Renal Masses

J Comput Assist Tomogr. 2022 Sep 6. doi: 10.1097/RCT.0000000000001361. Online ahead of print.

ABSTRACT

PURPOSE: The aim of the study was to compare diagnostic accuracy of dual-energy computed tomography (DECT) and magnetic resonance imaging (MRI) to detect enhancement in renal masses.

METHODS: Adults renal masses of 10 mm or greater with both fast kilovoltage potential switching DECT and contrast-enhanced MRI performed within 12 months were retrospectively included. Two blinded radiologists independently evaluated for enhancement subjectively (5-point Likert scales) and quantitatively (signal intensity ratio ≥15% for MRI, iodine concentration ≥1.2 or ≥2.0 mg/mL for DECT). Per-lesion diagnostic accuracy, with histologic reference standard for solid masses, was expressed as the area under the receiver operator curve (AUC) for each index test. Differences were evaluated for statistical significance using the DeLong test.

RESULTS: We included 24 patients with 41 masses: 17 solid renal masses and 24 Bosniak 1 or 2 cysts. There was no significant difference in diagnostic accuracy comparing subjective enhancement by MRI and using iodine overlay DECT for reader 1 (AUC 0.99 vs 0.99, P = 0.38) or reader 2 (AUC 1.00 vs 0.94, P = 0.12) Interobserver agreement was κ = 0.61 for DECT and κ = 0.71 for MRI. There was no significant difference either in accuracy between quantitative assessment using signal intensity ratio or iodine concentration for reader 1 (AUC 0.94 vs 0.94, P = 0.88) or reader 2 (AUC 0.97 vs 0.92, P = 0.16). False-negative results in both subjective and quantitative assessment were nearly exclusively seen in papillary renal cell carcinoma, occurring with both DECT and MRI.

CONCLUSIONS: We detected no significant differences in accuracy for detecting enhancement in renal masses comparing MRI and DECT. Our results require further investigation in larger sample sizes, but suggest that DECT may be comparable to MRI for detection of enhancement in renal masses.

PMID:36194830 | DOI:10.1097/RCT.0000000000001361

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Nevin Manimala Statistics

Comparing Practices Used in Overdose Fatality Review Teams to Recommended Implementation Guidelines

J Public Health Manag Pract. 2022 Nov-Dec 01;28(Suppl 6):S286-S294. doi: 10.1097/PHH.0000000000001546.

ABSTRACT

OBJECTIVES: Overdose fatality review teams are a public health and public safety collaboration that reviews fatality cases using a multidisciplinary team to provide recommendations for overdose prevention. No research exists on the case review practices currently being used in these programs.

DESIGN: We administered a cross-sectional survey measuring case review practices and perceptions to a convenience sample of overdose fatality review teams.

SETTING: We administered the online survey to participants at a national virtual forum on overdose fatality review.

PARTICIPANTS: In this study, we examined 30 county-level overdose fatality review teams from 6 states who completed the survey.

MAIN OUTCOME MEASURES: We developed measures of case review practices from an overdose fatality review implementation guide. We provided descriptive statistics on the survey items used to measure these practices and examined how practice uptake varied by overdose fatality review team characteristics.

RESULTS: Most overdose fatality review teams had adequate representation and membership, but none adhered to all of the practices measured from the implementation guide. The largest gap was in perceived effectiveness and implementation of case review recommendations. In addition, teams that had been reviewing cases for longer reported more adherence to recommended practices.

CONCLUSIONS: Overdose fatality case review is a collaboration between local public health and public safety agencies that holds great promise. However, these teams will require additional training and technical assistance with local community support to ensure that recommendations are actionable.

PMID:36194796 | DOI:10.1097/PHH.0000000000001546

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Ameliorative Effect of Chitosan Oligosaccharides on Hepatic Encephalopathy by Reshaping Gut Microbiota and Gut-Liver Axis

J Agric Food Chem. 2022 Oct 4. doi: 10.1021/acs.jafc.2c01330. Online ahead of print.

ABSTRACT

This study investigated the influence of chitosan oligosaccharides (COSs) on a thioacetamide-induced hepatic encephalopathy (HE) Wistar rat model. COS treatment statistically reduced the false neurotransmitters and blood ammonia in HE rats, along with the suppression of oxidative stress and inflammation. The disbalanced gut microbiota was detected in HE rats by 16S rDNA sequencing, but the abundance alterations of some intestinal bacteria at either the phylum or genus level were at least partly restored by COS treatment. According to metabolomics analysis of rat feces, six metabolism pathways with the greatest response to HE were screened, several of which were remarkably reversed by COS. The altered metabolites might serve as a bridge for the alleviated HE rats treated with COS and the enhanced intestinal bacterial structure. This study provides novel guidance to develop novel food or dietary supplements to improve HE diseases due to the potential beneficial effect of COS on gut-liver axis.

PMID:36194761 | DOI:10.1021/acs.jafc.2c01330

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Nevin Manimala Statistics

Effects of empagliflozin on cardiovascular and renal outcomes in heart failure with reduced ejection fraction according to age: A secondary analysis of EMPEROR-Reduced

Eur J Heart Fail. 2022 Oct 4. doi: 10.1002/ejhf.2707. Online ahead of print.

ABSTRACT

AIMS: Empagliflozin improves cardiovascular and renal outcomes in patients with heart failure and reduced left ventricular ejection fraction (HFrEF), but its efficacy and safety across patients’ age is not well established.

METHODS AND RESULTS: We assessed the effects of empagliflozin (10 mg daily) versus placebo, on top of standard HF therapy, in symptomatic HFrEF patients with a LVEF ≤40% and increased natriuretic peptides stratified by age (<65, 65-74, ≥75 years). The primary endpoint was a composite of cardiovascular death or HF hospitalization. Key secondary endpoints included first and recurrent HF hospitalizations and slope of change in estimated glomerular filtration rate (eGFR); the latter was supported by an analysis of a renal composite endpoint (chronic dialysis or renal transplantation or profound and sustained reduction in eGFR). Of 3730 patients, 38% were <65 years, 35% were 65-74 years and 27% were ≥75 years. Compared with placebo, empagliflozin reduced the primary endpoint consistently across the three age groups [hazard ratio, 0.71 (confidence intervals, 0.57-0.89) for <65 years, 0.72 (0.57-0.93) for 65-74 years, 0.86 (0.67-1.10) for ≥75 years, interaction p-trend test=0.24]. The effects of empagliflozin were also consistent across age groups for key secondary endpoints of first and recurrent HF hospitalization (p-trend=0.30), the rate of decline in eGFR (p-trend=0.78) and the renal composite (p-trend= 0.94). Adverse events (AEs), serious AEs and AEs leading to drug discontinuation increased with age in both treatment arms, but empagliflozin did not increase their incidence over placebo within each age group.

CONCLUSION: The efficacy and safety of empagliflozin in improving cardiovascular and renal outcomes in HFrEF was consistent across the spectrum of age, including older patients (aged ≥75). This article is protected by copyright. All rights reserved.

PMID:36194680 | DOI:10.1002/ejhf.2707

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Nevin Manimala Statistics

The Effects of Demographic, Training, and Specialization Differences of Physicians in Coronavirus Disease 19 Treatment in Turkey

J Contin Educ Health Prof. 2022 Sep 30. doi: 10.1097/CEH.0000000000000464. Online ahead of print.

ABSTRACT

INTRODUCTION: The study aimed to determine how physicians’ professional and institutional characteristics affect their treatment approaches for COVID-19 antiviral and supportive treatment, as well as their demographic characteristics and participation in COVID-19 trainings that may influence these orientations.

METHODS: After researching the literature and conducting interviews with the experts, a questionnaire was prepared. The convenience sampling method was used to distribute the questionnaire online to 408 physicians across the nation in January 2021. Exploratory factor analysis was used to verify the research scale, and the Cronbach’s Alpha test was used to confirm its reliability. During the data analysis, descriptive and inferential statistical tests were used.

RESULTS: It was observed that the physicians were willing to give COVID-19 patients the antivirals but hesitant to provide and suggest supportive care. The training status for COVID-19 treatment was varied. Female physicians prescribed more antiviral drugs than male physicians, received more training, and scored higher across the scale than male physicians (p = 0.001). The treatment approaches of physicians varied according to their specializations (p = 0.002) all over the scale.

DISCUSSION: The publication of current Ministry of Health guidelines on a variety of themes related to COVID-19 treatment, as seen in Turkey, is both beneficial and important. However, because all physicians, regardless of specialty, are affected by current and will be in the future pandemics, it is necessary to design and maintain a continuous training program on pandemics and their management for all physicians.

PMID:36194665 | DOI:10.1097/CEH.0000000000000464

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Nevin Manimala Statistics

Elucidation of the physical factors that control activated transport of penetrants in chemically complex glass-forming liquids

Proc Natl Acad Sci U S A. 2022 Oct 11;119(41):e2210094119. doi: 10.1073/pnas.2210094119. Epub 2022 Oct 4.

ABSTRACT

Understanding the activated transport of penetrant or tracer atoms and molecules in condensed phases is a challenging problem in chemistry, materials science, physics, and biophysics. Many angstrom- and nanometer-scale features enter due to the highly variable shape, size, interaction, and conformational flexibility of the penetrant and matrix species, leading to a dramatic diversity of penetrant dynamics. Based on a minimalist model of a spherical penetrant in equilibrated dense matrices of hard spheres, a recent microscopic theory that relates hopping transport to local structure has predicted a novel correlation between penetrant diffusivity and the matrix thermodynamic dimensionless compressibility, S0(T) (which also quantifies the amplitude of long wavelength density fluctuations), as a consequence of a fundamental statistical mechanical relationship between structure and thermodynamics. Moreover, the penetrant activation barrier is predicted to have a factorized/multiplicative form, scaling as the product of an inverse power law of S0(T) and a linear/logarithmic function of the penetrant-to-matrix size ratio. This implies an enormous reduction in chemical complexity that is verified based solely on experimental data for diverse classes of chemically complex penetrants dissolved in molecular and polymeric liquids over a wide range of temperatures down to the kinetic glass transition. The predicted corollary that the penetrant diffusion constant decreases exponentially with inverse temperature raised to an exponent determined solely by how S0(T) decreases with cooling is also verified experimentally. Our findings are relevant to fundamental questions in glassy dynamics, self-averaging of angstrom-scale chemical features, and applications such as membrane separations, barrier coatings, drug delivery, and self-healing.

PMID:36194629 | DOI:10.1073/pnas.2210094119

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Nevin Manimala Statistics

Assessing the efficacy and safety of Unani pharmacopoeial formulations in dermatophytosis (quba) – a randomized controlled trial

Drug Metab Pers Ther. 2022 Aug 24. doi: 10.1515/dmpt-2022-0125. Online ahead of print.

ABSTRACT

OBJECTIVES: The recent trends of rising unresponsive cases of dermatophytosis to conventional therapies pose a challenge in clinical practice. Unani medicine offers effective treatment for dermatophytosis. This study aimed to evaluate the efficacy and safety of the Unani herbo-mineral preparations Qurs-e-Asfar (QA) and Rogan-e-Narjeel (RN) in dermatophytosis.

METHODS: This was a randomized, active-controlled and open-label clinical study. The participants diagnosed with dermatophytosis (n=78) randomized into treatment group (n=40) receiving oral QA (778 mg twice a day) and topical RN and control group (n=38) receiving oral Itraconazole (100 mg/day) and topical Terbinafine hydrochloride (1%) for 6 weeks.

RESULTS: We found post-treatment improvement in itching by 86.3% vs. 78% (treatment vs. control group), erythema by 96.4% vs. 94.3%, scaling by 93% vs. 92.2% and peripheral raised margins by 82.3% vs. 81%. Furthermore, this study showed that the differences in the mean Total Signs and Symptoms Score (TSSS) and positive KOH mount were clinically and statistically significant (p<0.05) in both the groups. On comparing inter group, the differences in mean TSSS (p=0.07) and positive KOH mount (p=0.717) were found statistically insignificant.

CONCLUSIONS: This study concludes that the formulations QA and RN were effective and safe in the treatment of dermatophytosis.

PMID:36194619 | DOI:10.1515/dmpt-2022-0125