Predictor Of Short-term Outcome Research Articles

Prognosticating short-term outcomes in STE-ACS patients with intra-procedure slow flow/no-reflow: an analysis of predictive factors in primary percutaneous coronary revascularization

Abstract Background "ST-segment elevation myocardial infarction (STEMI)" is the most lethal form of "ischemic heart disease (IHD).primary "percutaneous coronary intervention (PCI)" as the first-line treatment for STEMI patients, as it offers better outcomes compared to other medical or surgical options [1,2]. One major concern in interventional cardiology is the occurrence of "slow flow/no-reflow (SF/NR)", which refers to the poor myocardial perfusion to the infarct-related artery as a result of microvascular obstruction. Objectives In this study, we compared the incidence of short-term outcomes between two groups of patients based on the occurrence of intra-procedure "slow flow/no-reflow (SF/NR)" and identified predictors of short-term outcomes. Method This study enrolled a series of consecutive patients who underwent primary "percutaneous coronary intervention (PCI)" for "ST-elevation myocardial infarction (STEMI)". The patients who developed SF/NR during the procedure were compared with their counterparts for the incidence of short-term "major adverse cardiovascular events (MACE)". Furthermore, the study aimed to identify predictors of short-term mortality in these patients. Result In this study, a total of 2,582 patients were included. Among them, 79.1% (2,042) were male. The average age of the patients was 55.7 ± 11.2 years. Intra-procedure SF/NR was observed in 21.7% (560) of the patients. During median short-term follow-up of 180 [144-205] days, patients with SF/NR exhibited higher incidence of all-cause mortality (23.6% vs. 12.3%; p<0.001), and MACE (30.4% vs. 16.9%; p<0.001) with hazard ratio of 1.82 [1.46-2.27; p<0.001] and 1.69 [1.39-2.05; p<0.001], respectively. Among patients with SF/NR, adjusted odds ratio for total ischemic time: 1.04 [1.00-1.07; p=0.041], random blood sugar levels: 1.01 [1.00-1.01; p<0.001], intubation status: 2.79 [1.26-6.18; p=0.011], post-procedure sub-optimal flow: 1.76 [1.04-2.98; p=0.034], and intra-procedural arrhythmias: 5.48 [2.03-14.79; p<0.001] were found to be independent predictors of short-term mortality. Conclusion In conclusion, the presence of intra-procedure SF/NR carries significant prognostic implications. Patients with intra-procedure SF/NR face a significantly higher risk of short-term adverse outcomes.

Long-term outcomes of intravenous corticosteroid pulse therapy for rapidly progressive alopecia areata: A single-center retrospective analysis of 106 cases and usefulness evaluation of a scoring system originally designed for half-year efficacy prediction for extended periods.

Intravenous corticosteroid pulse therapy (IVPT) has been preferentially conducted for rapidly progressive alopecia areata (RP-AA); however, the evaluation of long-term outcomes has been insufficient. In this study, 106 IVPT-treated RP-AA patients (36 males and 70 females) who were followed up for more than 1 year and up to 6.8 years were retrospectively analyzed. The mean observation period was 1137.8 ± 587.9 days (range 380-2490). The mean severity of alopecia tool (SALT) score before IVPT was 21.3 ± 23.4 but whole-scalp hair loss was observed in all cases after the intervention, suggesting that IVPT was performed soon after the onset. With additional interventions represented by intralesional triamcinolone acetonide injection with or without topical potent corticosteroid for those who insufficiently responded at 6 months after IVPT, 64.2%, 14.2%, and 21.7% of the patients respectively achieved good response (GR; SALT score ≤25), moderate response (MR; 25 < SALT score <75), and poor response (PR; 75 ≤ SALT score) 1 year after IVPT. On the final evaluation, the proportions of patients with GR, MR, and PR were 79 (74.5%), 7 (6.6%), and 20 (18.9%). Sixteen patients achieved and maintained full hair regrowth with IVPT alone until the end of observation. A previously reported scoring system for the short-term outcome prediction was shown to be useful for distinguishing the final-point GR responders from PR responders (P = 0.003). Of note, 21 patients were found to have some symptoms suggestive of the existence of preceding infectious diseases and tended to relapse. The revised scoring system adding the absence of preceding infectious diseases as one factor successfully predicted the occurrence of the relapse in our cohort (P = 0.002). Taken together, previously unreported real-world efficacy of IVPT to RP-AA was elucidated with the invention of a tool putatively enabling optimal long-term management.

Associations Between Echocardiographic Right Heart Measurements With Short-Term Prognosis in Heart Failure: A Prospective Study.

Echocardiographic right ventricular (RV) dysfunction is a strong risk determinant for prognosis in patients with heart failure (HF). Although parameters of RV systolic function are widely used to define RV dysfunction, there is scarce data to suggest these parameters are best suited to predict HF-related outcomes. We aimed to understand which morphologic or functional parameters are most closely associated with short-term mortality and HF-related hospitalization in patients with HF. A total of 191 patients from eight study centers were included to this study. A detailed echocardiographic examination was done at enrollment, and patients were followed up for 6 months via direct interviews or phone calls. All right-sided echocardiographic parameters other than tricuspid annular plane systolic excursion were associated with outcomes. In a proportional hazards model that included right-heart parameters, RV longitudinal diameter (HR: 1.07, 95%CI: 1.04-1.10, p<0.001), wall thickness (HR: 1.3, 95%CI: 1.13-1.50, p<0.001), and tricuspid annular systolic velocity (HR: 0.90, 95%CI: 0.82-0.96, p=0.02) were found as the independent predictors. However, only RV longitudinal dimension (HR: 1.04, 95%CI: 1.01-1.08, p=0.01) and RV wall thickness (HR: 1.32, 95%CI: 1.10-1.60, p=0.004) were associated with short-term outcomes after adjusting for other clinical and left-sided echocardiographic variables. On a Bayesian logistic regression model that included right-sided echocardiography variables, there was strong evidence for including either RV longitudinal diameter (BF10: 190.4) or wall thickness (BF10: 30.7) to the final model. Parameters of RV morphology were better predictors of short-term outcomes in HF patients.

Blood Urea Nitrogen to Left Ventricular Ejection Ratio as a Predictor of Short-Term Outcome in Acute Myocardial Infarction Complicated by Cardiogenic Shock

Introduction: Cardiogenic shock (CS) is the most critical complication after acute myocardial infarction (AMI) with mortality above 50%. Both blood urea nitrogen and left ventricular ejection fraction were important prognostic indicators. We aimed to evaluate the prognostic value of admission blood urea nitrogen to left ventricular ejection fraction ratio (BUNLVEFr) in patients with AMI complicated by CS (AMI-CS). Methods: 268 consecutive patients with AMI-CS were divided into two groups according to the admission BUNLVEFr cut-off value determined by Youden index. The primary endpoint was 30-day all-cause mortality and the secondary endpoint was the composite events of major adverse cardiovascular events (MACEs). Cox proportional hazard models were performed to analyze the association of BUNLVEFr with the outcome. Results: The optimal cut-off value of BUNLVEFr is 16.63. The 30-day all-cause mortality and MACEs in patients with BUNLVEFr≥16.63 was significantly higher than in patients with BUNLVEFr<16.63 (30-day all-cause mortality: 66.2% vs. 17.1%, p < 0.001; 30-day MACEs: 80.0% vs. 48.0%, p < 0.001). After multivariable adjustment, BUNLVEFr≥16.63 remained an independent predictor for higher risk of 30-day all-cause mortality (HR = 3.553, 95% CI: 2.125–5.941, p < 0.001) and MACEs (HR = 2.026, 95% CI: 1.456–2.820, p < 0.001). Subgroup analyses found that the effect of BUNLVEFr was consistent in different subgroups (all p-interaction>0.05). Conclusion: The admission BUNLVEFr provided important prognostic information for AMI-CS patients.

The STS 2024 Risk Models for Lung Cancer Resection: Continued Refinement and Improved Outcomes

The Society of Thoracic Surgeons General Thoracic Surgery Database (STS GTSD) has been used to develop risk models for patients undergoing pulmonary resection for cancer. Leveraging a contemporary and more inclusive cohort, we sought to refine these models. The study population consisted of adult patients in the STS GTSD who underwent pulmonary resection for cancer between 2015 and 2022. Unlike previous models, non-elective operations were included. Separate risk models were derived for operative mortality, major morbidity, and composite morbidity or mortality. Logistic regression with backward selection was used with predictors retained in models if p<0.10. All derived models were validated using 9-fold cross validation. Model discrimination and calibration were assessed for the overall cohort and for surgical procedure, demographic, and risk factor subgroups. Data from 140,927 patients at 337 participating centers were included in the study. Overall operative mortality rate was 1.1%, major morbidity 7.3%, and composite morbidity or mortality 7.6%. Novel predictors of short-term outcomes included interstitial lung disease, DLCO, and payor status. Overall discrimination was superior to previous STS pulmonary resection models for operative mortality [C-statistic = 0.80] and for composite morbidity or mortality [C-statistic = 0.70]. Model discrimination was comparable and model calibration was excellent across all procedure- and demographic-specific sub-cohorts. Among STS GTSD participants, major morbidity and operative mortality rates remain low following pulmonary resection. The newly derived pulmonary resection risk models demonstrate superior performance compared to previous models, with broader real-life applicability and clinical face validity.

A machine learning-based approach for individualized prediction of short-term outcomes after anterior cervical corpectomy.

A retrospective machine learning (ML) classification study for prognostic modeling after anterior cervical corpectomy (ACC). To evaluate the effectiveness of ML in predicting ACC outcomes and develop an accessible, user-friendly tool for this purpose. Based on our literature review, no study has examined the capability of ML algorithms to predict major shortterm ACC outcomes, such as prolonged length of hospital stay (LOS), non-home discharge, and major complications. The American College of Surgeons' National Surgical Quality Improvement Program database was used to identify patients who underwent ACC. Prolonged LOS, non-home discharges, and major complications were assessed as the outcomes of interest. ML models were developed with the TabPFN algorithm and integrated into an open-access website to predict these outcomes. The models for predicting prolonged LOS, non-home discharges, and major complications demonstrated mean areas under the receiver operating characteristic curve (AUROC) of 0.802, 0.816, and 0.702, respectively. These findings highlight the discriminatory capacities of the models: fair (AUROC >0.7) for differentiating patients with major complications from those without, and good (AUROC >0.8) for distinguishing between those with and without prolonged LOS and non-home discharges. According to the SHapley Additive Explanations analysis, single- versus multiple-level surgery, age, body mass index, preoperative hematocrit, and American Society of Anesthesiologists physical status repetitively emerged as the most important variables for each outcome. This study has considerably enhanced the prediction of postoperative results after ACC surgery by implementing advanced ML techniques. A major contribution is the creation of an accessible web application, highlighting the practical value of the developed models. Our findings imply that ML can serve as an invaluable supplementary tool to stratify patient risk for this procedure and can predict diverse postoperative adverse outcomes.

Prediction of post-hemorrhagic ventricular dilatation trajectory using a growth mixture model in preterm infants.

Early intervention for post-hemorrhagic ventricular dilatation (PHVD), guided by ventricular size measurements from cranial ultrasound (cUS), is associated with improved neurodevelopmental outcomes in preterm infants but benefits must be balanced against intervention risks. Anterior horn width (AHW) and ventricular index (VI) were measured from cUS for preterm infants (<29 weeks) with intraventricular hemorrhage admitted from 2010-2018. PHVD was defined as AHW > 6 mm or VI >97th percentile for postmenstrual age. Individual ventricular size trajectories were plotted, and a growth mixture model (GMM) used to identify latent trajectory classes and compare these to predetermined outcome of neurosurgical intervention. Measurements were obtained from 1543 cUS in 249 infants, of whom 39 had PHVD without and 17 PHVD with neurosurgical intervention based on signs of raised intracranial pressure. The GMM predicted trajectory identified: 93.3% of infants without PHVD, 88.2% and 30.8% of infants with PHVD with and without intervention using AHW; 100% of infants without PHVD, 52.9% and 59.0% of infants with PHVD with and without intervention using VI. The AHW GMM identified a significant proportion of infants with severe PHVD. Model refinement offers a promising approach for identifying differences in PHVD trajectory at an early stage to guide management. It is difficult to distinguish the trajectory of PHVD in the early stage of development, in particular PHVD that spontaneously arrests from slowly progressive PHVD which eventually requires intervention. We report the first modeling-based evaluation of PHVD trajectory for the prediction of short-term outcome of PHVD progression and neurosurgical intervention. With additional clinical validation and optimization to increase accuracy, predictive modeling has the potential to identify important differences in PHVD trajectory at an early stage in the clinical course, allowing for more individualized data-driven risk-benefit assessments to guide decisions on early intervention.

2024 Update of The Society of Thoracic Surgeons Short-term Esophagectomy Risk Model: More Inclusive and Improved Calibration

BackgroundThe Society of Thoracic Surgeons General Thoracic Surgery Database (STS-GTSD) previously reported short-term risk models for esophagectomy for esophageal cancer. We sought to update existing models using more inclusive contemporary cohorts, with consideration of additional risk factors based on clinical evidence. MethodsThe study population consisted of adult patients in the STS-GTSD who underwent esophagectomy for esophageal cancer between January 2015 and December 2022. Separate esophagectomy risk models were derived for 3 primary end points: operative mortality, major morbidity, and composite morbidity or mortality. Logistic regression with backward selection was used, with predictors retained in models if P < .10. All derived models were validated using 9-fold cross-validation. Model discrimination and calibration were assessed for the overall cohort and specified subgroups. ResultsA total of 18,503 patients from 254 centers underwent esophagectomy for esophageal cancer. Operative mortality, morbidity, and composite morbidity or mortality rates were 3.4%, 30.5%, and 30.9%, respectively. Novel predictors of short-term outcomes in the updated models included body surface area and insurance payor type. Overall discrimination was similar or superior to previous STS-GTSD models for operative mortality (C statistic = 0.72) and for composite morbidity or mortality (C statistic = 0.62), Model discrimination was comparable across procedure- and demographic-specific subcohorts. Model calibration was excellent in all patient subgroups. ConclusionsThe newly derived esophagectomy risk models showed similar or superior performance compared with previous models, with broader applicability and clinical face validity. These models provide robust preoperative risk estimation and can be used for shared decision making, assessment of provider performance, and quality improvement.

Performance of QUiPP App v.2 tool for prediction of preterm birth in asymptomatic high-risk women attending preterm specialist clinic: external validation study.

To validate externally the QUiPP App v.2 algorithms in an independent cohort of high-risk asymptomatic women attending a preterm birth (PTB) surveillance clinic in Ireland. This was a retrospective, single-center, observational study assessing discrimination and calibration of the QUiPP App v.2 at six predetermined clinical timepoints (PTB at < 30, < 34 and < 37 weeks of pregnancy and PTB within 1, 2 and 4 weeks of testing). Discrimination was assessed by estimating the area under the receiver-operating-characteristics curve (AUC) and sensitivity at fixed false-positive rates of 5%, 10% and 20%. Model calibration was assessed to evaluate the concordance between expected and observed outcomes. P-values < 0.05 were considered statistically significant. No adjustments for treatment effects were made. Overall, 762 women with 1660 PTB surveillance clinic visits using the QUiPP App v.2 between 2019 and 2022 were analyzed. The study population included 142 (18.6%) patients who later experienced PTB. The QuiPP App's performance in the prediction of short-term outcomes, such as birth within 1 week (AUC, 0.866 (95% CI, 0.755-0.955)), 2 weeks (AUC, 0.721 (95% CI, 0.569-0.854)) and 4 weeks (AUC, 0.775 (95% CI, 0.699-0.842)), and delivery at < 30 weeks (AUC, 0.747 (95% CI, 0.613-0.865)), was superior to its ability to predict longer-term outcomes (PTB at < 37 weeks: AUC, 0.631 (95% CI, 0.596-0.668)). Calibration was generally good for low-risk results, as the predicted risk in these patients tended to match the observed incidence. However, in women deemed to be at greater risk of PTB, the predicted probability superseded the observed incidence of PTB. The QUiPP App v.2 accurately discriminates women who are at short-term risk of PTB. A 'treatment paradox' may influence calibration in high-risk women. Further research is needed to ascertain if QuiPP treatment thresholds can be safely adjusted in women receiving prophylactic treatment to prevent PTB, and whether this improves the outcome. © 2024 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Contrast Volume-to-Estimated Glomerular Filtration Rate Ratio as a Predictor of Short-Term Outcomes Following Transcatheter Aortic Valve Implantation.

Background/Objectives: Contrast-induced acute kidney injury (AKI) is associated with early mortality and adverse events. However, in the setting of transcatheter aortic valve implantation (TAVI), previous literature has failed to establish a correlation between the absolute volume of contrast media administered and mortality. We aimed to investigate the impact of contrast volume administered normalised to estimated glomerular filtration rate (CV/eGFR) on the development of AKI and on 30-day all-cause mortality in TAVI patients. Methods: We retrospectively analysed a cohort of 1150 patients who underwent TAVI at our unit between 2015 and 2018. Results: Follow-up was complete for 1064 patients. There were 23 deaths within the follow-up period and 76 cases of AKI, 9 of which required new renal replacement therapy (RRT). Receiver-operating characteristic (ROC) curve analysis showed fair discrimination for 30-day all-cause mortality at a CV/eGFR ratio of 3.6 (area under the ROC curve (AUC) 0.671). Of patients in whom CV data were available, 86.0% (n = 757) had a CV/eGFR < 3.6 and 14.0% (n = 123) had a CV/eGFR ≥ 3.6. In multivariate logistic regression analysis, CV/eGFR ≥ 3.6 was the strongest predictor of 30-day all-cause mortality (odds ratio 5.06, 95% confidence interval [1.61-15.7], p = 0.004). Other independent predictors were procedural urgency (3.28 [1.04-10.3], p = 0.038) and being under general anaesthesia (4.81 [1.10-17.3], p = 0.023). CV/eGFR ≥ 3.6 was also independently associated with significantly increased odds of AKI (2.28 [1.20-4.17], p = 0.009) alongside significant non-left main stem coronary artery disease (2.56 [1.45-4.66], p = 0.001), and diabetes (1.82 [1.03-3.19], p = 0.037). In supplementary ROC curve analysis, a similar CV/eGFR cut point of 3.6 was found to be an excellent predictor for new RRT (AUC 0.833). Conclusions: In conclusion, a CV/eGFR ≥ 3.6 post-TAVI was found to be a strong predictor of 30-day mortality and AKI. The maximum contrast volume that can be safely administered in each patient without significantly increasing the risk of mortality and AKI can be calculated using this ratio.

Preoperative Risk Assessment of Early Kidney Graft Loss.

A large proportion of potential organ donors are not utilized for kidney transplantation out of risk of early allograft loss because of donor-related characteristics. These can be summarized using kidney donor profile index (KDPI). Because KDPI affects the choice of the recipient, the predictive ability of KDPI is tied to recipient attributes. These have been questioned to explain most of the predictive ability of KDPI. This study aims to quantify the effect of the donor on early graft loss (EGL) by accounting for nonrandom allocation. This study included patients undergoing kidney transplantation from deceased donors between 2014 and 2020 from the Scientific Registry of Transplantation Recipients. EGL, defined as a return to dialysis or retransplantation during the first posttransplant year, was the primary endpoint. Nonrandom allocation and donor-recipient matching by KDPI necessitated the use of inverse probability treatment weighting, which served to assess the effect of KDPI and mitigate selection bias in a weighted Cox regression model. The study comprised 89 290 transplantations in 88 720 individual patients. Inverse probability treatment weighting resulted in a good balance of recipient covariates across values of continuous KDPI. Weighted analysis showed KDPI to be a significant predictor for short-term outcomes. A comparable (in terms of age, time on dialysis, previous transplants, gender, diabetes status, computed panel-reactive antibodies, and HLA mismatches) average recipient, receiving a kidney from a donor with KDPI 40-60 had a 3.5% risk of EGL increased to a risk of 7.5% if received a kidney from a KDPI >95 donor (hazard ratio, 2.3; 95% confidence interval, 1.9-2.7). However, for all-cause survival KDPI was less influential. The predictive ability of KDPI does not stem from recipient confounding alone. In this large sample-sized study, modeling methods accounting for nonindependence of recipient selection verify graft quality to effectively predict short-term transplantation outcomes.

Validation of MELD 3.0 in patients with alcoholic liver cirrhosis using prospective KACLiF cohort.

The Model for End-Stage Liver Disease (MELD) is a reliable prognostic tool for short-term outcome prediction in patients with end-stage liver disease. MELD 3.0 was introduced to enhance the predictive accuracy. This study assessed the performance of MELD 3.0, in comparison to MELD and MELD-Na, in patients with alcoholic liver cirrhosis. This multicenter prospective cohort study comprised patients with alcoholic cirrhosis admitted for acute deterioration of liver function in the Republic of Korea between 2015 and 2019. This study compared the predictive abilities of MELD, MELD-Na, and MELD 3.0, for 30-day and 90-day outcomes, specifically death or liver transplantation, and explored the factors influencing these outcomes. A total of 1096 patients were included in the study, with a mean age of 53.3±10.4years, and 82.0% were male. The mean scores for MELD, MELD-Na, and MELD 3.0 at the time of admission were 18.7±7.2, 20.6±7.7, and 21.0±7.8, respectively. At 30 and 90days, 7.2% and 14.1% of patients experienced mortality or liver transplantation. The areas under the receiver operating characteristic curves for MELD, MELD-Na, and MELD 3.0 at 30days were 0.823, 0.820, and 0.828; and at 90days were 0.765, 0.772, and 0.776, respectively. Factors associated with the 90-day outcome included concomitant chronic viral hepatitis, prolonged prothrombin time, elevated levels of aspartate transaminase, bilirubin, and creatinine, and low albumin levels. MELD 3.0 demonstrated improved performance compared to previous models, although the differences were not statistically significant.

A predictive nomogram for short-term outcomes of myasthenia gravis patients treated with low-dose rituximab.

This study aims to establish and validate a predictive nomogram for the short-term clinical outcomes of myasthenia gravis (MG) patients treated with low-dose rituximab. We retrospectively reviewed 108 patients who received rituximab of 600 mg every 6 months in Huashan Hospital and Tangdu Hospital. Of them, 76 patients from Huashan Hospital were included in the derivation cohort to develop the predictive nomogram, which was externally validated using 32 patients from Tangdu Hospital. The clinical response is defined as a ≥ 3 points decrease in QMG score within 6 months. Both clinical and genetic characteristics were included to screen predictors via multivariate logistic regression. Discrimination and calibration were measured by the area under the receiver operating characteristic curve (AUC-ROC) and Hosmer-Lemeshow test, respectively. Disease duration (OR = 0.987, p = 0.032), positive anti-muscle-specific tyrosine kinase antibodies (OR = 19.8, p = 0.007), and genotypes in FCGR2A rs1801274 (AG: OR = 0.131, p = 0.024;GG:OR = 0.037, p = 0.010) were independently associated with clinical response of post-rituximab patients. The nomogram identified MG patients with clinical response with an AUC-ROC (95% CI) of 0.875 (0.798-0.952) in the derivation cohort and 0.741(0.501-0.982) in the validation cohort. Hosmer-Lemeshow test showed a good calibration (derivation: Chi-square = 3.181, p = 0.923; validation: Chi-square = 8.098, p = 0.424). The nomogram achieved an optimal prediction of short-term outcomes in patients treated with low-dose rituximab.

Combination of Hs-CRP and Homocysteine Levels as Predictors of Short-term Outcome in Acute Ischemic Stroke

Combination of Hs-CRP and Homocysteine Levels as Predictors of Short-term Outcome in Acute Ischemic Stroke

Which parameters influence cognitive, psychiatric and long-term seizure outcome in mesial temporal lobe epilepsy after selective amygdalohippocampectomy?

BackgroundWe aimed to analyze potentially prognostic factors which could have influence on postoperative seizure, neuropsychological and psychiatric outcome in a cohort of patients with mesial temporal lobe epilepsy (MTLE) due to hippocampal sclerosis (HS) after selective amygdalohippocampectomy (SAHE) via transsylvian approach.MethodsClinical variables of 171 patients with drug-resistant MTLE with HS (88 females) who underwent SAHE between 1994 and 2019 were evaluated using univariable and multivariable logistic regression models, to investigate which of the explanatory parameters can best predict the outcome.ResultsAt the last available follow-up visit 12.3 ± 6.3 years after surgery 114 patients (67.9%) were seizure-free. Left hemispheric MTLE was associated with worse postoperative seizure outcome at first year after surgery (OR = 0.54, p = 0.01), female sex—with seizure recurrence at years 2 (OR = 0.52, p = 0.01) and 5 (OR = 0.53, p = 0.025) and higher number of preoperative antiseizure medication trials—with seizure recurrence at year 2 (OR = 0.77, p = 0.0064), whereas patients without history of traumatic brain injury had better postoperative seizure outcome at first year (OR = 2.08, p = 0.0091). All predictors lost their predictive value in long-term course. HS types had no prognostic influence on outcome. Patients operated on right side performed better in verbal memory compared to left (VLMT 1-5 p < 0.001, VLMT 7 p = 0.001). Depression occurred less frequently in seizure-free patients compared to non-seizure-free patients (BDI-II Z = − 2.341, p = 0.019).ConclusionsSAHE gives an improved chance of achieving good postoperative seizure, psychiatric and neuropsychological outcome in patients with in MTLE due to HS. Predictors of short-term outcome don’t predict long-term outcome.

High Circulating Dipeptidyl Peptidase 3 Predicts Mortality and Need for Organ Support in Cardiogenic Shock: An Ancillary Analysis of the ACCOST-HH Trial

BackgroundCardiogenic shock (CS) is burdened with high mortality. Efforts to improve outcome are hampered by the difficulty of individual risk stratification and the lack of targetable pathways. Previous studies demonstrated that elevated circulating dipeptidyl peptidase 3 (cDPP3) is an early predictor of short-term outcome in CS, mostly of ischemic origin. Our objective was to investigate the association between cDPP3 and short-term outcomes in a diverse population of patients with CS. Methods and ResultscDPP3 was measured at baseline and after 72 hours in the AdreCizumab against plaCebO in SubjecTs witH cardiogenic sHock (ACCOST-HH) trial. The association of cDPP3 with 30-day mortality and need for organ support was assessed. Median cDPP3 concentration at baseline was 43.2 ng/mL (95% confidence interval [CI], 21.2–74.0 ng/mL) and 77 of the 150 patients (52%) had high cDPP3 over the predefined cutoff of 40 ng/mL. Elevated cDPP3 was associated with higher 30-day mortality (adjusted hazard ratio [aHR] = 1.7; 95% CI, 1.0–2.9), fewer days alive without cardiovascular support (aHR, 3 days [95% CI, 0–24 days] vs aHR, 21 days [95% CI, 5–26 days]; P < .0001) and a greater need for renal replacement therapy (56% vs 22%; P < .0001) and mechanical ventilation (90 vs 74%; P = .04). Patients with a sustained high cDPP3 had a poor prognosis (reference group). In contrast, patients with an initially high but decreasing cDPP3 at 72 hours had markedly lower 30-day mortality (aHR, 0.17; 95% CI, 0.084–0.34), comparable with patients with a sustained low cDPP3 (aHR, 0.23; 95% CI, 0.12–0.41). The need for organ support was markedly decreased in subpopulations with sustained low or decreasing cDPP3. ConclusionsThe present study confirms the prognostic value of cDPP3 in a contemporary population of patients with CS.

Impact of TIMI Risk Stratification on In-Hospital Mortality in Non-ST Elevation Acute Coronary Syndrome: Perspectives from a Coronary Intervention Facility

Background: Acute coronary syndrome (ACS) encompasses a range of conditions, including non-ST segment elevation myocardial infarction (NSTEMI), which is associated with substantial morbidity and mortality. Risk stratification is essential for guiding management strategies to improve patient outcomes. The Thrombolysis in Myocardial Infarction (TIMI) risk score is a validated tool for predicting mortality in NSTEMI patients, yet its applicability in South Asian populations requires further investigation. Objective: This study aimed to evaluate the association of the TIMI risk score with in-hospital mortality among NSTEMI patients in a tertiary care cardiac center and to assess the relevance of the TIMI score as a prognostic tool in a South Asian context. Methods: A cross-sectional study was conducted with 126 patients presenting with NSTEMI at the National Institute of Cardiovascular Disease, Karachi. Data were collected from June 2012 to June 2013 after the institutional review board's approval. Inclusion criteria were adults aged 18 to 85 with a TIMI score ≥5, while exclusion criteria were refusal to consent and a history of cardiac surgery. Demographics, clinical characteristics, and in-hospital outcomes were analyzed using SPSS version 25, employing Chi-square and Fisher's exact tests for categorical data, with a significance level set at p≤0.05. Results: The study found that 52 (41.3%) patients had diabetes mellitus, and 78 (61.9%) suffered from hypertension. A positive family history of coronary artery disease was observed in 29 (23.0%) patients. Among participants, 42 (33.3%) were smokers. The in-hospital mortality rate was 14.3%. No significant differences were noted in mortality regarding demographic and clinical variables. Conclusion: Elevated TIMI scores in NSTEMI patients are associated with significant in-hospital mortality. The findings underscore the importance of the TIMI risk score as a predictor of short-term outcomes in a South Asian population. The study highlights the need for further validation of the TIMI score in diverse populations and the optimization of risk stratification tools.

Association of EEG Background With Diffusion-Weighted Magnetic Resonance Neuroimaging and Short-Term Outcomes After Pediatric Cardiac Arrest.

EEG and MRI features are independently associated with pediatric cardiac arrest (CA) outcomes, but it is unclear whether their combination improves outcome prediction. We aimed to assess the association of early EEG background category with MRI ischemia after pediatric CA and determine whether addition of MRI ischemia to EEG background features and clinical variables improves short-term outcome prediction. This was a single-center retrospective cohort study of pediatric CA with EEG initiated ≤24 hours and MRI obtained ≤7 days of return of spontaneous circulation. Initial EEG background was categorized as normal, slow/disorganized, discontinuous/burst-suppression, or attenuated-featureless. MRI ischemia was defined as percentage of brain tissue with apparent diffusion coefficient (ADC) <650 × 10-6 mm2/s and categorized as high (≥10%) or low (<10%). Outcomes were mortality and unfavorable neurologic outcome (Pediatric Cerebral Performance Category increase ≥1 from baseline resulting in ICU discharge score ≥3). The Kruskal-Wallis test evaluated the association of EEG with MRI. Area under the receiver operating characteristic (AUROC) curve evaluated predictive accuracy. Logistic regression and likelihood ratio tests assessed multivariable outcome prediction. We evaluated 90 individuals. EEG background was normal in 16 (18%), slow/disorganized in 42 (47%), discontinuous/burst-suppressed in 12 (13%), and attenuated-featureless in 20 (22%) individuals. The median percentage of MRI ischemia was 5% (interquartile range 1-18); 32 (36%) individuals had high MRI ischemia burden. Twenty-eight (31%) individuals died, and 58 (64%) had unfavorable neurologic outcome. Worse EEG background category was associated with more MRI ischemia (p < 0.001). The combination of EEG background and MRI ischemia burden had higher predictive accuracy than EEG alone (AUROC: mortality: 0.92 vs 0.87, p = 0.03) or MRI alone (AUROC: mortality: 0.92 vs 0.84, p = 0.02; unfavorable: 0.83 vs 0.73, p < 0.01). Addition of percentage of MRI ischemia to clinical variables and EEG background category improved prediction for mortality (χ2 = 19.1, p < 0.001) and unfavorable neurologic outcome (χ2 = 4.8, p = 0.03) and achieved high predictive accuracy (AUROC: mortality: 0.97; unfavorable: 0.92). Early EEG background category was associated with MRI ischemia after pediatric CA. Combining EEG and MRI data yielded higher outcome predictive accuracy than either modality alone. The addition of MRI ischemia to clinical variables and EEG background improved short-term outcome prediction.

A 2-year review of stroke admissions and short term out-come predictors in a teaching hospital, Southeast, Nigeria.

Stroke is a common neurological disorder with a huge global burden in terms of mortality and morbidity. Epidemiological evidence has shown that modifiable risk factors are responsible for more than 90% of all strokes. Stroke outcome in hospitalized patients is influenced by several variables, such as socio-demographic factors, stroke subtype, and admission severity. The interaction between stroke outcomes and these parameters is often complex. The study is aimed to profile hospitalized stroke patients and determine outcome predictors. A descriptive retrospective study of 100 patients hospitalized for acute stroke. Their medical records were reviewed for demographic and clinical variables and relevant data were retrieved and analysed using appropriate statistical methods. Of the 100 acute stroke patients studied, 36% were men and 64% were women. The mean age was 65.16±15.72. About 78%had ischemic stroke while 21% had haemorrhagic strokes. The commonest risk factor was hypertension (71.2%). On multivariate analysis, stroke subtype and admission duration were significantly linked to stroke outcome. Ischemic stroke comprises more than two-thirds of stroke admissions, with hypertension being the most common risk factor and stroke case fatality of 23%. Stroke subtype and admission duration significantly predicted stroke outcomes. The need to step up measures aimed at improving acute stroke care in hospitalized patients is imperative as this will hopefully improve overall outcomes in resource constraint settings such as Nigeria.

Value of serum Copeptin in Early Diagnosis and prediction of short-term outcomes in Acute coronary syndrome patients

Value of serum Copeptin in Early Diagnosis and prediction of short-term outcomes in Acute coronary syndrome patients