Predictors Of Outcome Research Articles

Epithelial cell states associated with kidney and allograft injury.

The kidney epithelium, with its intricate arrangement of highly specialized cell types, constitutes the functional core of the organ. Loss of kidney epithelium is linked to the loss of functional nephrons and a subsequent decline in kidney function. In kidney transplantation, epithelial injury signatures observed during post-transplantation surveillance are strong predictors of adverse kidney allograft outcomes. However, epithelial injury is currently neither monitored clinically nor addressed therapeutically after kidney transplantation. Several factors can contribute to allograft epithelial injury, including allograft rejection, drug toxicity, recurrent infections and postrenal obstruction. The injury mechanisms that underlie allograft injury overlap partially with those associated with acute kidney injury (AKI) and chronic kidney disease (CKD) in the native kidney. Studies using advanced transcriptomic analyses of single cells from kidney or urine have identified a role for kidney injury-induced epithelial cell states in exacerbating and sustaining damage in AKI and CKD. These epithelial cell states and their associated expression signatures are also observed in transplanted kidney allografts, suggesting that the identification and characterization of transcriptomic epithelial cell states in kidney allografts may have potential clinical implications for diagnosis and therapy.

Prevalence, Pattern and Early Treatment Outcomes Predictors of Patients with Fournier's Gangrene at University of Dodoma Affiliated Teaching Hospitals

Prevalence, Pattern and Early Treatment Outcomes Predictors of Patients with Fournier's Gangrene at University of Dodoma Affiliated Teaching Hospitals

American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator as a Predictor of Postoperative Outcomes After Adult Spinal Deformity Surgery: A Retrospective Cohort Analysis.

In recent years, there has been an outpouring of scoring systems that were built to predict outcomes after various surgical procedures; however, research validating these studies in spinal surgery is quite limited. In this study, we evaluated the predictability of the American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator (ACS NSQIP SRC) for various postoperative outcomes after spinal deformity surgery. A retrospective chart review was conducted to identify patients who underwent spinal deformity surgery at our hospital between January 1, 2014, and December 31, 2022. Demographic and clinical data necessary to use the ACS NSQIP SRC and postoperative outcomes were collected for these patients. Predictability was analyzed using the area under the curve (AUC) of receiver operating characteristic curves and Brier scores. Among the 159 study patients, the mean age was 64.5 ± 9.5 years, mean body mass index was 31.9 ± 6.6, and 95 (59.7%) patients were women. The outcome most accurately predicted by the ACS NSQIP SRC was postoperative pneumonia (observed = 5.0% vs predicted = 3.2%, AUC = 0.75, Brier score = 0.05), but its predictability still fell below the acceptable threshold. Other outcomes that were underpredicted by the ACS NSQIP SRC were readmission within 30 days (observed = 13.8% vs predicted = 9.0%, AUC = 0.63, Brier score = 0.12), rate of discharge to nursing home or rehabilitation facilities (observed = 56.0% vs predicted = 46.6%, AUC = 0.59, Brier = 0.26), reoperation (observed 11.9% vs predicted 5.4%, AUC = 0.60, Brier = 0.11), surgical site infection (observed 9.4% vs predicted 3.5%, AUC = 0.61, Brier = 0.05), and any complication (observed 33.3% vs 19%, AUC = 0.65, Brier = 0.23). Predicted and observed length of stay were not significantly associated (β = 0.132, P = .47). The ACS NSQIP SRC is a poor predictor of outcomes after spinal deformity surgery.

Utility of A2L2 score in acute ischemic stroke patient triage: the "H.uni" experience.

Two or more National Institutes of Health Stroke Scale (NIHSS) points on each motor items (A2L2 score) have shown good accuracy in predicting large vessel occlusion (LVO) in the prehospital setting of acute ischemic stroke (AIS) care. We aimed to study this score for LVO prediction in our stroke network and predictors of poor outcome (PO) after mechanical thrombectomy (MT). From our Safe Implementation of Thrombolysis in Stroke (SITS) registry including patients receiving reperfusion therapy for AIS, we retrospectively computed the A2L2 score from the admission NIHSS to test the diagnostic accuracy for LVO prediction. Multivariable analysis for independent predictors of LVO on the entire cohort and PO from patients with LVO were performed. From the 853 patients with AIS (67% LVO), A2L2 was positive in 52%. A2L2 score (Odds ratio [OR] 4.6;95%CI 3.36-6.34), smoking (OR 2.1;95%CI 1.14-3.85), atrial fibrillation (OR 1.6;95%CI1.1-2.4) and younger age (OR 0.98;95%CI0.97-0.99) were independent predictors of LVO. A2L2 score showed 82%/49% positive/negative predictive values with 66% accuracy (64%/72% sensitivity/specificity) for LVO prediction. Age (OR 1.05;95%CI 1.03-1.07), atrial fibrillation (OR 4.85;95%CI 1.5-15.7), diabetes (OR 2.62;95% CI 1.14-6.05), dyslipidemia (OR 2;95% CI 1.04-3.87), A2L2 score (OR 2.68;95% CI 1.45-4.98), longer onset-to-groin time (OR 1.003;95% CI 1.001-1.01), MT procedure (OR 1.01;95%CI 1.003-1.02) general anaesthesia (OR 2.06;95% CI 1.1-3.83) and symptomatic intracranial hemorrhage (OR 12.10;95%CI 3.15-46.44) were independent predictors of PO. A2L2 score independently predicted LVO and PO after MT. Patient characteristics and procedural factors determined PO of LVO patients after MT.

The kickstand rod technique for correction of coronal malalignment in patients with adult spinal deformity: a systematic review and pooled analysis of 97 cases.

Coronal malalignment (CM) has recently gained focus as a key predictor of functional outcomes in patients with adult spinal deformity (ASD). The kickstand rod technique has been described as a novel technique for CM correction using an accessory rod on the convex side of the deformity. This review aimed to evaluate the surgical technique and outcomes of corrective surgery using this technique. The literature search was conducted on three databases (PubMed, EMBASE, and Scopus). After reviewing the search results, six studies were shortlisted for data extraction and pooled analysis. Weighted means for surgical duration, length of stay, amount of coronal correction, and sagittal parameters were calculated. The studies included in the review were published between 2018 and 2023, with a total sample size of 97 patients. The mean age of the study cohort was 61.1 years, with female preponderance. The mean operative time was 333.6 minutes. The mean correction of CM was 5.1 cm (95% confidence interval [CI], 3.6-6.6), the mean sagittal correction was 5.6 cm (95% CI, 4.1-7.1), and the mean change in lumbar lordosis was 17° (95% CI, 10.4-24.1). Preoperative coronal imbalance and mean correction achieved postoperatively were directly related with age. The reoperation rate was 13.2%. The kickstand rod technique compares favorably with conventional techniques such as asymmetric osteotomies in CM management. This technique provides an additional accessory rod that helps increase construct stiffness. Because of limited data, definitive conclusions cannot be drawn from this review; however, this technique is a valuable tool for a surgeon dealing with ASD.

Prediction of motor and non-motor Parkinson's disease symptoms using serum lipidomics and machine learning: a 2-year study.

Identifying biological factors which contribute to the clinical progression of heterogeneous motor and non-motor phenotypes in Parkinson's disease may help to better understand the disease process. Several lipid-related genetic risk factors for Parkinson's disease have been identified, and the serum lipid signature of Parkinson's disease patients is significantly distinguishable from controls. However, the extent to which lipid profiles are associated with clinical outcomes remains unclear. Untargeted high-performance liquid chromatography-tandem mass spectrometry identified >900 serum lipids in Parkinson's disease subjects at baseline (n = 122), and the potential for machine learning models using these lipids to predict motor and non-motor clinical scores after 2 years (n = 67) was assessed. Machine learning models performed best when baseline serum lipids were used to predict the 2-year future Unified Parkinson's disease rating scale part three (UPDRS III) and Geriatric Depression Scale scores (both normalised root mean square error = 0.7). Feature analysis of machine learning models indicated that species of lysophosphatidylethanolamine, phosphatidylcholine, platelet-activating factor, sphingomyelin, diacylglycerol and triacylglycerol were top predictors of both motor and non-motor scores. Serum lipids were overall more important predictors of clinical outcomes than subject sex, age and mutation status of the Parkinson's disease risk gene LRRK2. Furthermore, lipids were found to better predict clinical scales than a panel of 27 serum cytokines previously measured in this cohort (The Michael J. Fox Foundation LRRK2 Clinical Cohort Consortium). These results suggest that lipid changes may be associated with clinical phenotypes in Parkinson's disease.

General anesthesia is an independent predictor for worse maternal outcome in pregnant pulmonary arterial hypertension patients without cardiac shunt but not for those with shunt

Abstract Background Although pregnancy imposes extra risk in patients with pulmonary arterial hypertension (PAH), hemodynamic characteristics vary between PAH patients with and without cardiac shunts. However, previous studies did not take hemodynamic differences in PAH patients into consideration for pregnancy outcome analysis. We aimed to identify predictors for peripartum outcome of PAH patients without/with cardiac shunt. Methods We retrospectively analyzed the medical records of PAH gravidae parturiated by cesarean delivery (C-section) from 4 hospitals. Maternal death and major adverse cardiac events (MACEs) occurring during pregnancy or within 6 weeks postpartum were defined as composite end points. Risk factors for end points were analyzed separately in patients with and without cardiac shunt. The effect of general anesthesia on MACEs and maternal death was analyzed by Mantel-Haenszel hierarchical analysis considering cardiac shunts. Results One hundred eighty-one PAH gravidae were included, of whom 85 had PAH without cardiac shunt and 96 with shunt. Patients who met combined end points were 19/85 in those without shunt compared with 23/96 in those with shunt. The mortality rates were 11.8% and 9.4%, respectively. Both World Health Organization functional class (WHO-FC) III/IV and general anesthesia were predictors for gravidae without shunt, whereas only WHO-FC III/IV was a predictor for gravidae with shunt. General anesthesia increased the MACE risk (odds ratio, 9.000; 95% confidence interval, 2.628–30.820) and maternal mortality (odds ratio, 11.000; 95% confidence interval, 2.595–46.622; P = 0.039) in patients without cardiac shunt but not in those with shunt during C-section. Conclusion All PAH gravidae with WHO-FC III/IV are at high risk and should receive intensive care. General anesthesia should be avoided during C-section for PAH gravidae without a cardiac shunt.

Improved prenatal assessment of kidney disease using multiple ultrasound features.

Congenital anomalies of the kidney and the urinary tract (CAKUT), often discovered in utero, cover a wide spectrum of outcomes ranging from normal postnatal kidney function to fetal death. The current ultrasound workup does not allow for an accurate assessment of the outcome. The present study aimed to significantly improve the ultrasound-based prediction of postnatal kidney survival in CAKUT. Histological analysis of kidneys of 15 CAKUT fetuses was performed to better standardize the ultrasound interpretation of dysplasia and cysts. Ultrasound images of 140 CAKUT fetuses with 2-year postnatal follow-up were annotated for amniotic fluid volume and kidney number, size, dysplasia and/or cysts using standardized ultrasound readout. Association of ultrasound features and clinical data (sex and age at diagnosis) with postnatal kidney function was studied using logistic regression. Amniotic fluid proteome associated to kidney dysplasia or cysts was characterized by mass spectrometry. Histologically, poor ultrasound corticomedullary differentiation was associated to dysplastic lesions and ultrasound hyperechogenicity was associated to the presence of microcysts. Of all ultrasound and clinical parameters, reduced amniotic volume, dysplasia and cysts were the best predictors of poor outcome (Odd ratio = 57 [95%CI: 11-481], 20 [3-225] and 7 [1-100], respectively). Their combination into an algorithm improved prediction of postnatal kidney function compared to amniotic volume alone (area under the ROC curve = 0.92 [0.86-0.98] in a 10-fold cross validation). Dysplasia and cysts were correlated (Cramer's V coefficient = 0.44, p<0.0001), but amniotic fluid proteome analysis revealed that they had distinct molecular origin (extracellular matrix and cell contacts versus cellular death, respectively), probably explaining the additivity of their predictive performances. Antenatal clinical advice for CAKUT pregnancies can be improved by a more standardized and combined interpretation of ultrasound data.

Independent and Added Value of Cardiopulmonary Exercise Testing to New York Heart Association Classification in Patients With Heart Failure.

The objective of this study was to evaluate the independent and added value of a cardiopulmonary exercise test (CPX) to New York Heart Association (NYHA) functional analysis in patients with heart failure (HF) and ejection fraction (EF) <50%. Patients (n = 613) with HF and EF < 50% underwent CPX and were followed for 28 ± 17 mo with respect to primary outcomes (death or heart transplantation). Mean patient age was 57 ± 12 yr and 64% were male. Most patients were classified as NYHA class II (41%). The composite rate of primary outcomes was 12%; death occurred in 9% and heart transplant in 4%. Independent predictors of primary outcomes were: EF (HR = 0.95: 95% CI, 0.92-0.98; P = .001) and NYHA (HR = 2.06: 95% CI, 1.54-2.75; P < .0001). When added to the model, peak oxygen uptake (V˙ O2peak ) was an independent predictor (HR = 0.90: 95% CI, 0.84-0.96; P = .001), as was the percentage of predicted V˙ O2peak (HR = 0.03: 95% CI, 0.007-0.147; P < .001), minute ventilation/carbon dioxide production slope (HR = 1.02: 95% CI, 1.01-1.04; P = .012), and CPX score (HR = 1.16: 95% CI, 1.06-1.27; P = .001). CPX variables were independent predictors of HJ prognosis, even when controlled by NYHA functional class. Despite being independent predictors, the value added to NYHA classification was modest and lacked statistical significance.Patients with heart failure (HF) underwent cardiopulmonary exercise testing (CPX) and were followed with respect to primary outcomes (death or heart transplantation). Independent predictors of primary outcomes were: ejection fraction and New York Heart Association (NYHA). The CPX variables were independent predictors of HF prognosis, even when controlled by NYHA. However, the value added to NYHA classification was modest.

Predictors of Clinical Outcomes After Hip Arthroscopy: 10-Year Follow-up Analysis of 1038 Patients.

Although hip arthroscopy has been shown to have beneficial outcomes, there is a paucity of literature examining predictive factors of 10-year clinical outcomes. (1) To identify predictive factors of 10-year outcomes of hip arthroscopy and (2) to compare these factors with those found in 2-year and 5-year studies. Cohort study; Level of evidence, 3. Data were prospectively collected and retrospectively reviewed on all patients undergoing hip arthroscopy between February 2008 and June 2012. Patients were included if they had a minimum 10-year follow-up on 2 patient-reported outcome measures: Nonarthritic Hip Score (NAHS) and modified Harris Hip Score. Exclusion criteria included previous ipsilateral hip conditions. Using bivariate and multivariate analyses, that authors analyzed the effects of 37 pre- and intraoperative variables on the NAHS, modified Harris Hip Score, and conversion to total hip arthroplasty. Of the 883 patients who met the inclusion criteria, 734 (83.1%) had follow-up data. The mean follow-up time was 124.4 months (range, 120.0-153.1 months). Six variables were significant predictors of NAHS in both multivariate and bivariate analyses: revision status, body mass index (BMI), duration of symptoms, preoperative NAHS, age at onset of symptoms, and need for acetabular microfracture. Positive predictors of 10-year survivorship included acute injury and gluteus medius repair, while negative predictors included revision arthroscopy, Tönnis grade, acetabular inclination, iliopsoas fractional lengthening, and notchplasty. Multiple predictive factors including age, BMI, revision status, and preoperative outcome scores were identified for long-term survivorship and functional outcomes. These may prove useful to clinicians in refining indications and guiding patients on expected outcomes of hip arthroscopy.

Imputation of Counterfactual Outcomes when the Errors are Predictable

A crucial input into causal inference is the imputed counterfactual outcome. Imputation error can arise because of sampling uncertainty from estimating the prediction model using the untreated observations, or from out-of-sample information not captured by the model. While the literature has focused on sampling uncertainty, it vanishes with the sample size. Often overlooked is the possibility that the out-of-sample error can be informative about the missing counterfactual outcome if it is mutually or serially correlated. Motivated by the best linear unbiased predictor (BLUP) of Goldberger in a time series setting, we propose an improved predictor of potential outcome when the errors are correlated. The proposed PUP is practical as it is not restricted to linear models, can be used with consistent estimators already developed, and improves mean-squared error for a large class of strong mixing error processes. Ignoring predictability in the errors can distort conditional inference. However, the precise impact will depend on the choice of estimator as well as the realized values of the residuals.

Derivation and Validation of a Scoring System for Predicting Poor Outcome After Posterior Circulation Ischemic Stroke in China.

Guidelines for posterior circulation ischemic stroke (PCIS) treatment are lacking and outcome prediction is crucial for patients and clinicians. We aimed to develop and validate a prognostic score to predict the poor outcome for patients with PCIS. The score was developed from a prospective derivation cohort named the Third China National Stroke Registry (August 2015-March 2018) and validated in a spatiotemporal independent validation cohort (December 2017-March 2023) in China. Patients with PCIS with acute infarctions defined as hyperintense lesions on diffusion-weighted imaging were included in this study. The poor outcome was measured as modified Rankin scale (mRS) score 3-6 at 3 months after PCIS. Multivariable logistic regression analysis was used to identify predictors for poor outcome. The prognostic score, namely PCIS Outcome Score (PCISOS), was developed by assigning points to variables based on their relative β-coefficients in the logistic model. The PCISOS was derived from 3,294 patients (median age 62 [interquartile range (IQR) 55-70] years; 2,250 [68.3%] men) and validated in 501 patients (median age 61 [IQR 53-68] years; 404 [80.6%] men). Among them, 384 (11.7%) and 64 (12.8%) had poor outcome 3 months after stroke in respective cohorts. Age, mRS before admission, NIH Stroke Scale on admission, ischemic stroke history, infarction distribution, basilar artery, and posterior cerebral artery stenosis or occlusion were identified as independent predictors for poor outcome and included in PCISOS. This easy-to-use integer scoring system identified a marked risk gradient between 4 risk groups. PCISOS performed better than previous scores, with an excellent discrimination (C statistic) of 0.80 (95% CI 0.77-0.83) in the derivation cohort and 0.81 (95% CI 0.77-0.84) in the validation cohort. Calibration test showed high agreement between the predicted and observed outcomes in both cohorts. PCISOS can be applied for patients with PCIS with acute infarctions to predict functional outcome at 3 months post-PCIS. This simple tool helps clinicians to identify patients with PCIS with higher risk of poor outcome and provides reliable outcome expectations for patients. This information might be used for personalized rehabilitation plan and patient selection for future clinical trials to reduce disability and mortality.

Study of steroid-resistant nephrotic syndrome: a single center experience

BackgroundNephrotic syndrome (NS) is a disease with favorable outcomes in most cases. Failure to respond to steroids is one of the most important predictors of clinical outcome. We performed a retrospective study on 51 primary idiopathic SRNS cases presenting between January 2011 and June 2021 at Alexandria University Children’s Hospital (AUCH) by retrieving data from their clinic files. Cases with secondary causes of NS or suspected genetic causes were excluded from our study. Patients’ demographic data, clinical and laboratory findings at the time of presentation, complications occurring during the course of treatment, immunosuppressants used along with steroids, and outcomes at the last follow-up were recorded. The mean duration of follow-up was 5.67 ± 3.07 years.ResultsOur results showed that there was male predominance (2.9:1), the mean age at first presentation was 4.53 ± 3.03 years, and persistent hematuria and systemic hypertension were found in 41.6% and 57.1%, respectively.The most common biopsy finding was MesPGN (37.3%). The most utilized immunosuppressant was cyclosporine (80.4%). Complete remission was fortunately the most prevalent outcome among our cases (52.2%).ConclusionsOur study concluded that biopsy findings and thepresence of hematuria in SRNS cases are the most crucial factors in determining the final outcome. MCNS finding in biopsy is significantly correlated with complete remission (p value = 0.043). Persistent hematuria whether gross or microscopic was significantly correlated with unremitting disease (p value = 0.017).

Volumetric computed tomography measurements as predictors for outcomes in a cohort of Fournier's gangrene patients.

This study evaluates the prognostic value of CT findings, including volumetric measurements, in predicting outcomes for patients with Fournier gangrene (FG), focusing on mortality, ICU admission, hospital stay length, and healthcare costs. A retrospective study was conducted on 38 FG patients who underwent CT scans before surgical debridement. We analyzed demographic data, CT volumetric measurements, and clinical outcomes using logistic and linear regression models. No single CT measurement significantly predicted mortality or ICU admission. The best model for mortality prediction included age, air volume, NSTI score, and male sex, with an AUC of 0.911. Intubation likelihood was modeled with an AUC of 0.913 using age, NSTI score, and visceral to subcutaneous fat ratio. The ICU admission model achieved an AUC of 0.677. Hospital stay was predicted by air volume (β = 0.0002656, p = 0.0505) with an adjusted R-squared of 0.1287. Air volume significantly predicted hospital costs (β = 2.859, p = 0.00558), resulting in an adjusted R-squared of 0.2165. Volumetric CT findings provide valuable prognostic insights for FG patients, suggesting a basis for informed clinical decisions and resource allocation. Further validation in larger, multi-center studies is recommended to develop robust predictive models for FG outcomes.

Clinical, prognostic and pathophysiological implications of MOG-IgG detection in the CSF: the importance of intrathecal MOG-IgG synthesis

BackgroundCerebrospinal fluid myelin oligodendrocyte glycoprotein IgG (CSF MOG-IgG) are found in a proportion of patients with MOG antibody-associated disorder (MOGAD) and have been associated with severe disease presentations. However, most...

Identifying Independent Predictors of Short-Term Postoperative Morbidity in Patients Undergoing Cranioplasty.

The present study intends to identify independent predictors of short-term postoperative complications and health utilization in patients undergoing cranioplasty. Demographic, clinical, and intraoperative characteristics were collected for each patient undergoing cranioplasty in the National Surgery Quality Improvement Program database from 2011 to 2020. The 30-day outcomes analyzed were medical complications, wound complications, return to the operating room, extended hospital stay, and non-home discharge. Bivariate analyses were initially used to identify variables that yielded a P value less than 0.2 which were subsequently analyzed in a multivariate logistic regression to identify independent predictors of the aforementioned outcomes. In total, 2316 patients undergoing cranioplasty were included in the analysis. Increased operative time and totally dependent functional status significantly increased odds of returning to the operating room. Increased age, operative time, cranioplasty size >5cm, and various comorbidities were associated with increased odds of non-home discharge. Bleeding disorders were independently associated with increased odds of wound complications. Increased age, operative time, cranioplasty size >5cm, and several medical history features predisposed to medical complications. Demographic characteristics, including age and race, along with various operative and medical history characteristics were associated with increased odds of extended length of stay. Identification of risk factors can help guide preoperative risk management in cranioplasty.

Reduced preoperative serum choline esterase levels and fecal peritoneal contamination as potential predictors for the leakage of intestinal sutures after source control in secondary peritonitis

BackgroundThe high rate of stoma placement during emergency laparotomy for secondary peritonitis is a paradigm in need of change in the current fast-track surgical setting. Despite growing evidence for the feasibility of primary bowel reconstruction in a peritonitic environment, little data substantiate a surgeons’ choice between a stoma and an anastomosis. The aim of this retrospective analysis is to identify pre- and intraoperative parameters that predict the leakage risk for enteric sutures placed during source control surgery (SCS) for secondary peritonitis.MethodsBetween January 2014 and December 2020, 497 patients underwent SCS for secondary peritonitis, of whom 187 received a primary reconstruction of the lower gastro-intestinal tract without a diverting stoma. In 47 (25.1%) patients postoperative leakage of the enteric sutures was directly confirmed during revision surgery or by computed tomography. Quantifiable predictors of intestinal suture outcome were detected by multivariate analysis.ResultsLength of intensive care, in-hospital mortality and failure of release to the initial home environment were significantly higher in patients with enteric suture leakage following SCS compared to patients with intact anastomoses (p < 0.0001, p = 0.0026 and p =0.0009, respectively). Reduced serum choline esterase (sCHE) levels and a high extent of peritonitis were identified as independent risk factors for insufficiency of enteric sutures placed during emergency laparotomy.ConclusionsA preoperative sCHE < 4.5 kU/L and generalized fecal peritonitis associate with a significantly higher incidence of enteric suture insufficiency after primary reconstruction of the lower gastro-intestinal tract in a peritonitic abdomen. These parameters may guide surgeons when choosing the optimal surgical procedure in the emergency setting.

Mortality and Morbidity in Adults With Rheumatic Heart Disease

Rheumatic heart disease (RHD) remains a public health issue in low- and middle-income countries (LMICs). However, there are few large studies enrolling individuals from multiple endemic countries. To assess the risk and predictors of major patient-important clinical outcomes in patients with clinical RHD. Multicenter, hospital-based, prospective observational study including 138 sites in 24 RHD-endemic LMICs. The primary outcome was all-cause mortality. Secondary outcomes were cause-specific mortality, heart failure (HF) hospitalization, stroke, recurrent rheumatic fever, and infective endocarditis. This study analyzed event rates by World Bank country income groups and determined the predictors of mortality using multivariable Cox models. Between August 2016 and May 2022, a total of 13 696 patients were enrolled. The mean age was 43.2 years and 72% were women. Data on vital status were available for 12 967 participants (94.7%) at the end of follow-up. Over a median duration of 3.2 years (41 478 patient-years), 1943 patients died (15% overall; 4.7% per patient-year). Most deaths were due to vascular causes (1312 [67.5%]), mainly HF or sudden cardiac death. The number of patients undergoing valve surgery (604 [4.4%]) and HF hospitalization (2% per year) was low. Strokes were infrequent (0.6% per year) and recurrent rheumatic fever was rare. Markers of severe valve disease, such as congestive HF (HR, 1.58 [95% CI, 1.50-1.87]; P < .001), pulmonary hypertension (HR, 1.52 [95% CI, 1.37-1.69]; P < .001), and atrial fibrillation (HR, 1.30 [95% CI, 1.15-1.46]; P < .001) were associated with increased mortality. Treatment with surgery (HR, 0.23 [95% CI, 0.12-0.44]; P < .001) or valvuloplasty (HR, 0.24 [95% CI, 0.06-0.95]; P = .042) were associated with lower mortality. Higher country income level was associated with lower mortality after adjustment for patient-level factors. Mortality in RHD is high and is correlated with the severity of valve disease. Valve surgery and valvuloplasty were associated with substantially lower mortality. Study findings suggest a greater need to improve access to surgical and interventional care, in addition to the current approaches focused on antibiotic prophylaxis and anticoagulation.

Screening Options in Autism Telediagnosis: Examination of TAP, M-CHAT-R, and DCI Concordance and Predictive Value in a Telediagnostic Model.

Tele-assessment of autism in early childhood has increased. However, it is unclear how autism screening tools (M-CHAT-R, DCI) function as part of tele-assessment and relate to a commonly used tele-assessment instrument, the TAP. 361 families from a clinically referred sample of children (mean age: 27.63 months, sd = 4.86 months) completed the M-CHAT-R and DCI prior to a tele-assessment visit utilizing the TAP. Data was collected on demographic background, measure scores, and diagnostic outcome. No significant differences in measure scores or diagnostic findings emerged in age at referral, age group, age at diagnosis, or child sex, ethnicity, or racial background. The M-CHAT-R and DCI correlated strongly and positively. Older age was associated with lower risk scores on screening instruments. Children with autism had significantly higher scores on all screener and subdomain scores, with the exception of DCI Behavior. Subdomains of the DCI emerged as the strongest predictor of diagnostic outcome. Both the DCI total score and the M-CHAT-R significantly related to diagnostic outcome and TAP score in this tele-assessment model, regardless of child age or sex. Findings also support use of the DCI for children under 24 months of age.

Profile and predictors of outcome for code blue cases in a tertiary care hospital in Mangalore

Back ground Code Blue is a common emergency code used in cases of cardiac arrest in hospitals to alert trained emergency response teams. The use of codes is mainly to convey essential information quickly to staff while preventing misunderstandings and panic among hospital visitors. This study aimed to determine the profiles and outcomes of patients with activated code blue calls. Methods This retrospective record-based study included all patients who had a code blue declared in the year 2022. Data was collected from the patient files from medical records department and analyzed with descriptive and inferential statistical methods. Results A total of 86 code blue calls were analyzed in this study. In terms of age distribution, the age group 60-80 years had the highest percentage of code blue cases. Code blue cases were more announced in males in the study (55.8%). For the announced code blue cases, it was identified that CPR if initiated by the staff on scene before the arrival of the code blue team had higher survival chance (60.0%). Asystole was the most common rhythm detected initially (66.3%) upon arrival of the code blue team. It was found that if the response time was lesser than 2 min, the patients had a higher chance of survival (53.3%). Conclusions In conclusion, CPR performed by a trained code blue team in a hospital can help improve outcomes. The initiation of bystander CPR has been proven to have favorable outcomes. Better training of staff can result in better outcomes.