Independent Predictor Of Poor Outcome Research Articles

Prediction of Long-Term Poor Clinical Outcomes in Cerebral Venous Thrombosis Using Neural Networks Model: The BEAST Study.

Risk prediction models are commonly performed with logistic regression analysis but are limited by skewed datasets. We utilised neural networks (NNs) model to identify independent predictors of poor outcomes in cerebral venous thrombosis (CVT) due to the limitations of logistic regression (LR) analysis with complex datasets. We evaluated 1309 adult CVT patients from the prospective BEAST (Biorepository to Establish the Aetiology of Sinovenous Thrombosis) study. The area under the receiver operating characteristic (AUROC) curve confirmed the goodness-of-fit of prediction models. The normalised importance (NI) of the NNs determines the significance of independent predictors. The stepwise logistic regression model found thrombolysis (OR 32.1; 95% CI 3.6-287.0; P=0.002), craniotomy (OR 6.9; 95% CI 1.3-36.8; P=0.02), and cerebral haemorrhage (OR 4.5; 95% CI 1.3-15.4; P=0.01) as predictors of poor clinical outcome with the AUROC of 0.71. Conversely, the NNs model identified major independent predictors of long-term poor clinical outcomes as cerebral haemorrhage (NI 100%) and thrombolysis (NI 98%), as well as trivial predictors of age (NI 2.8%) and altered mental status (NI 3.5%). The accuracy of the NNs model was 95.1% and 94.1% for self-learned randomly selected training and testing samples with an AUROC of 0.82. Positive and negative predictive values for poor outcomes were 13.2% and 97.1% for the LR model, compared with the NNs model of 18.8% and 98.7%, respectively. Cerebral haemorrhage and thrombolysis was a strong independent predictor, whereas age merely impacts the long-term poor clinical outcome in adult CVT. Integrating unorthodox neural networks risk prediction model can improve decision-making as it outperforms conventional logistic regression with complex datasets.

Outcome of Guillain-Barré syndrome with bulbar palsy

BackgroundElective intubation is advocated in Guillain-Barré syndrome (GBS) with bulbar palsy to prevent aspiration pneumonia and lung collapse. We evaluate the outcome of GBS patients with bulbar palsy, and also compare the risks and benefits of intubation and MV in them. Methods187 GBS patients with bulbar palsy from a cohort of 547 GBS registry were analyzed. Detailed clinical records and peak disability on a 0-6 GBS Disability Scale (GBSDS) were noted. The patients were intubated if arterial blood gas (ABG) analysis revealed hypoxia, hypercarbia or acidosis. The patients with normal ABG parameters were fed by nasogastric tube, and nursed in lateral position. Occurrence of pneumonia, in-hospital death and outcomes at 6-months were classified as complete (GBSDS <2), partial (GBSDS 2-3) and poor (GBSDS >3). Results76/187(40.6%) patients required MV, and they had a shorter duration of illness (p = 0.007), higher peak disability (p < 0.001), autonomic dysfunction (p < 0.001) and more frequently received IVIg (p = 0.02). Pneumonia (63% vs 10.8%; p < 0.001) and in-hospital deaths (7.9% vs 1.8%; p = 0.06) were more frequent in MV group compared to nasogastric fed group. At 6-months,104 (55.6%) patients recovered completely. On multivariate analysis, the independent predictors of poor outcome were peak disability [Adjusted Odds Ratio (AOR) 9.84, 95% Confidence Interval (CI) 3.15-30.74, p < 0.0001], day of hospitalization from disease onset (AOR 1.09, 95% Cl 1.01-1.01; p=0.009) and requirement of MV (AOR 0.10; 95% 0.02-0.50; p = 0.005). ConclusionGBS patients with bulbar palsy may be managed by nasogastric feeding and nursing in lateral position without increasing the risk of pneumonia. Mechanical ventilation based on ABG does not worsen outcomes of GBS with bulbar palsy.

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.

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.

High pre-treatment NLR and PLR predict poor prognosis of patients with recurrent/metastatic head and neck squamous cell carcinoma treated with immune checkpoint inhibitors.

e18001 Background: The treatment landscape of unresectable recurrent and/or metastatic (R/M) Head and Neck Squamous cell Carcinoma (HNSCC) has profoundly changed with the introduction of Immune checkpoint inhibitors (ICIs). High neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been associated with poor outcome in several tumor types. The aim of the present study was to investigate the role of pre-treatment NLR and PLR in predicting overall survival (OS) of patients treated with ICIs. Materials and Methods: We retrospectively reviewed the clinical records of 106 consecutive patients with R/M-HNSCC who received ICIs (single-agent or ICIs-based treatment) between January 2018 and June 2023 at the Istituto Oncologico Veneto of Padua. Patients were grouped into platinum-refractory (patients progressed within 6 months from the last platinum dose) and platinum-sensitive. The cut-off values of pre-treatment NLR and PLR were determined based on percentile distribution (75th percentile). OS was estimated using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazards models were used to compare survival outcomes. Results: A total of 102 patients were analyzed. Four patients were excluded because of incomplete data. Primary tumor sites were oropharynx (37%), oral cavity (24%), hypopharynx (19%), larynx (15%), nasopharynx (5%) and nasal cavity (1%). 63 patients (62%) with platinum-refractory disease received nivolumab single-agent. All 39 patients (38%) with platinum-sensitive disease were PD-L1 positive (CPS≥1) and received pembrolizumab-based treatment. Median OS was 8.0 months (95% CI 5.8-10.1) in the platinum-refractory cohort and 13.3 months (95% CI 7.3-19.3) in the platinum-sensitive cohort. At the univariate analysis high NLR (≥7) and PLR (≥345) correlated with poor OS in the overall population and in both the platinum-refractory and the platinum-sensitive cohorts (Table1). At the multivariate analysis PLR was an independent predictor of OS. Conclusions: The efficacy results reported in this retrospective series were in line with the literature data. High PLR was an independent predictor of poor outcome regardless of the platinum sensitivity. Prospective studies are needed to better explore the predictive role of easily obtainable blood biomarkers in this poor prognostic population. Univariate analysis for OS [Table: see text]

FT4-to-FT3 ratio is a novel prognostic marker in subacute combined spinal cord degeneration patients.

The FT4-to-FT3 ratio (FFR) variations in patients with subacute combined spinal cord degeneration (SCSD) as a potentially useful prognostic indicator are still unknown. This study aimed to investigate the changes of FFR as a potentially valuable prognostic predictor in patients with SCSD. This study included 144 consecutive SCSD patients who received standard diagnostic and therapeutic procedures between January 2015 and December 2021 and were admitted to the Department of Neurology at the First Affiliated Hospital of Bengbu Medical University. At the time of admission, we gathered data on all patients' demographics, daily routines, previous chronic conditions, medication histories, and other clinical details. For the purpose of measuring FFR, blood samples were specifically taken within 48 h of admission. The degree of neurological impairment of patients was assessed using the functional disability scale at the time of admission. At 6 months following discharge, the Modified Rankin Scale (mRS) was used to evaluate the clinical prognosis. To evaluate the relationship between the FFR and the risks of a poor outcome (mRS > 2), univariate and multivariate logistic regression analysis was utilized. The significance of the FT4/FT3 ratio in predicting the clinical outcomes in SCSD patients 6 months after discharge was assessed using the area under curve-receiver operating characteristic (AUC-ROC). About 90 patients (62.5%) of the 144 patients had poor outcomes, while 54 (37.5%) had favorable outcomes. Higher FFR at admission was independently linked to higher odds of a poor outcome, according to a logistic analysis. With an optimized cutoff value of >2.843, the FFR exhibited the maximum accuracy for predicting a poor outcome, according to the AUC‒ROC curve (AUC 0.731, P < 0.001; sensitivity, 77.8%; specificity, 83.3%). FFR was identified as an independent predictor of poor outcomes by multivariate logistic regression (OR, 2.244; 95% CI, 1.74-2.90; P < 0.001). We discovered that in patients who had a bad result 6 months after discharge, the FFR had dramatically increased at the time of admission, providing a unique prognostic marker in patients with SCSD.

Elevated skull fractures: an institutional experience and individual participant data meta-analysis.

Elevated skull fracture (ESF) is a rare but potentially life-threatening type of skull fracture. The literature on this topic is relatively sparse. Herein, we conducted a meta-analysis of all the patients reported in the literature with ESFs with respect to their clinical management to better inform practice. On 20th of January 2023, we conducted a systematic search of literature to find all published cases of ESF. We also conducted a retrospective review of ESF cases from our institution. The data collection and analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. After screening, 28 studies met the inclusion criteria. A total of 104 individual patients were included in the meta-analysis, with a median age of 24 years and 85.7% of whom were males. 11 patients (11.2%) had an unfavorable outcome while 37 (35.2%) had one or more complications. We found that GCS on admission is an independent predictor of poor outcome in ESF (odds ratio (95% confidence interval) = 1.605 (1.110-2.315), p value = 0.012). Regarding complications, dural injury (odds ratio (95% confidence interval) = 66.667 (7.407-500.00), p value < 0.001) and multiple bone involvement (odds ratio (95% confidence interval) = 6.849 (2.127-22.222), p value = 0.001) were independent predictors of complication. ESFs represent a rare yet consequential form of cranial injury, carrying potentially life-threatening implications if not promptly addressed. In this study, we present the meta-analysis of outcomes and complications within this patient cohort, offering a comprehensive synthesis of existing literature on this pathology. However, further investigation is imperative to provide higher-quality evidence and address lingering uncertainties in the classification and management of ESFs.

Growth differentiation factor-15 serum concentrations reflect disease severity and anemia in patients with inflammatory bowel disease.

Population of patients with inflammatory bowel disease (IBD) is burdened by various extraintestinal manifestations which substantially contribute to greater morbidity and mortality. Growth-differentiation factor-15 (GDF-15) is often over-expressed under stress conditions, such as inflammation, malignancies, heart failure, myocardial ischemia, and many others. To explore the association between GDF-15 and IBD as serum concentrations of GDF-15 were shown to be an independent predictor of poor outcomes in multiple diseases. An additional aim was to determine possible associations between GDF-15 and multiple clinical, anthropometric and laboratory parameters in patients with IBD. This cross-sectional study included 90 adult patients diagnosed with IBD, encompassing both Crohn's disease (CD) and ulcerative colitis (UC), and 67 healthy age- and sex-matched controls. All patients underwent an extensive workup, including colonoscopy with subsequent histopathological analysis. Disease activity was assessed by two independent gastroenterology consultants specialized in IBD, employing well-established clinical and endoscopic scoring systems. GDF-15 serum concentrations were determined following an overnight fasting, using electrochemiluminescence immunoassay. In patients with IBD, serum GDF-15 concentrations were significantly higher in comparison to the healthy controls [800 (512-1154) pg/mL vs 412 (407-424) pg/mL, P < 0.001], whereas no difference in GDF-15 was found between patients with CD and UC [807 (554-1451) pg/mL vs 790 (509-956) pg/mL, P = 0.324]. Moreover, multiple linear regression analysis showed that GDF-15 levels predict CD and UC severity independent of age, sex, and C-reactive protein levels (P = 0.016 and P = 0.049, respectively). Finally, an association between GDF-15 and indices of anemia was established. Specifically, negative correlations were found between GDF-15 and serum iron levels (r = -0.248, P = 0.021), as well as GDF-15 and hemoglobin (r = -0.351, P = 0.021). Accordingly, in comparison to IBD patients with normal hemoglobin levels, GDF-15 serum levels were higher in patients with anemia (1256 (502-2100) pg/mL vs 444 (412-795) pg/mL, P < 0.001). For the first time, we demonstrated that serum concentrations of GDF-15 are elevated in patients with IBD in comparison to healthy controls, and the results imply that GDF-15 might be involved in IBD pathophysiology. Yet, it remains elusive whether GDF-15 could serve as a prognostic indicator in these patients.

Radiological Features of Herpetic Encephalitis in Children

BackgroundNonspecific clinical manifestations and unclear radiological features may delay treatment initiation in pediatric patients with Herpes simplex encephalitis (HSE). The aim of this study is to analyze the clinical and radiological features of the disease. MethodsClinical, laboratory, and magnetic resonance imaging (MRI) data were obtained retrospectively from a group of 37 hospitalized pediatric patients older than two months and with a polymerase chain reaction-confirmed HSE diagnosis. Clinical severity (i.e., mechanical ventilatory support) and outcome at discharge (i.e., pediatric modified Rankin Scale [ped-mRS]) were also assessed. ResultsMedian age was 14 months (interquartile range: 10-36). All patients survived, 15 (41%) had complete recovery (i.e., ped-mRS = 0), and 10 (27%) had significant residual disability at discharge (i.e., ped-mRS ≥3). Brain MRI was obtained in 31 patients. T2-hyperintense lesions were usually bilateral (28, 90%) and multifocal (30, 97%). Hemorrhage and mass effect were observed in 13 (42%) and 15 (48%) patients, respectively. Parenchymal lesions involved the temporal lobes (94%), insula (90%), parietal lobes (84%), and frontal lobes (61%). Occipital lesions were rare. In multivariable binary logistic regression models the presence of altered consciousness was associated with mechanical ventilation (odds ratio [OR] = 8.2, Nagelkerke R2 = 0.22), whereas the involvement of the occipital lobes (OR = 7.8) and the administration of vasopressors (OR = 12.1) were independent predictors of poor outcome (Nagelkerke R2 = 0.41). ConclusionsBrain MRI is useful for diagnosis and outcome assessment in pediatric HSE. Radiological patterns with common frontotemporal involvement overlap adults, but multifocal and parietal lobe abnormalities are observed as well.

The Association Between Preoperative Pectoralis Muscle Quantity and Outcomes After Cardiac Transplantation

Background: Sarcopenia is underappreciated in advanced heart failure and is not routinely assessed. In patients receiving a left ventricular assist device (LVAD), preoperative sarcopenia, defined using CT-derived pectoralis muscle area index (muscle area indexed to body surface area), is an independent predictor of post-operative mortality. The association between preoperative sarcopenia and outcomes after heart transplant (HT) is unknown. Objectives: The primary aim was to determine if preoperative sarcopenia, diagnosed using pectoralis muscle area index, is an independent predictor of days alive and out of the hospital (DAOH) post-transplant. Methods: Patients who underwent HT from January 2018 to June 2022 with available preoperative chest CT scans were included. Sarcopenia was diagnosed as pectoralis muscle area index in the lowest sex-specific tertile. The primary endpoint was DAOH at 1-year post-transplant. Results: 169 patients were included. Patients with sarcopenia (n=55) had fewer DAOH compared to those without, with a median difference of 17 days (320 vs. 337 days, p=0.004). Patients with sarcopenia had a longer index hospitalization and were also more likely to be discharged to a facility other than home. In a Poisson regression model, sarcopenia was a significant univariable and the strongest multivariable predictor of DAOH at 1-year (Parameter estimate = -0.17, 95% CI -0.19 to -14, p = <0.0001). Conclusions: Preoperative sarcopenia, diagnosed using pectoralis muscle area index, is an independent predictor of poor outcomes after HT. This parameter is easily measurable from commonly obtained preoperative CT scans and may be considered in the transplant evaluation.

The Posthyaluronidase Syndrome: Dosing Strategies for Hyaluronidase in the Dissolving of Facial Filler and Independent Predictors of Poor Outcomes.

Hyaluronic acid dermal fillers are used extensively in periocular aesthetic medicine, and the incidence of filler-related complications is increasing. This study aimed to investigate the optimal dosing strategy for hyaluronidase and to identify predictors of poor outcomes. We performed a retrospective review of 157 orbits of 90 patients treated with hyaluronidase over a 4-year period. Demographic data, indication, and details of hyaluronidase treatment and outcomes were recorded. The primary indication for dissolving filler was swelling in 52%, lumpiness in 20%, and before surgical blepharoplasty in 17%. The most frequently used hyaluronidase concentration was 150 U per mL in 66%, followed by 75 U per mL in 31%, 37.5 U per mL in 3%, and 100 U per mL in 1%. Outcomes were characterized as follows: 59% with a satisfactory result; 24% as insufficient treatment requiring further hyaluronidase; and 18% complaining of facial changes such as hollowing, indicating a post hyaluronidase syndrome. There was no statistical difference in outcomes between the 75 and 150 U per mL dosage groups (P = 0.625). A significant correlation was identified between posthyaluronidase syndrome and duration of filler in situ (P = 0.00019) and volume of filler (P = 0.000017). The posthyaluronidase syndrome may be related to previous filler volume and duration, rather than the concentration or dose of hyaluronidase used. All patients should be informed about the risks of adverse effects after hyaluronidase treatment; patients with longer histories of filler use and higher total volumes should be advised of the increased risk.

437 Pressure Reactivity Index (PRx) as a Predictor for Outcome in Severe Traumatic Brain Injury

INTRODUCTION: The pressure reactivity index (PRx) is a surrogate for vascular cerebral autoregulation that evaluates moving correlation coefficients between intracranial pressure (ICP) and mean arterial blood pressure (MAP). Ideal threshold PRx values for distinguishing between poor and good outcome in severe traumatic brain injury (sTBI) is unclear. METHODS: Retrospective evaluation of consecutive patients over a three-year period with sTBI and polytrauma who received continuous ICP, MAP, and PRx monitoring. Good outcome was defined as patients who upon hospital discharge had a modified Rankin score &lt; 4 and were discharged to an acute rehabilitation facility or home. RESULTS: 36 patients received continuous monitoring. Nine patients were excluded for the following reasons: early palliative withdrawal, early death through multi-organ dysfunction not related to the sTBI, and continuous neuromonitoring &lt; 24 hrs. Of the 27 patients evaluated, average PRx values for the good outcome group was 0.18 (+0.17) and 0.37 (+0.24) for the poor outcome group. Receiver operating characteristics (ROC) analysis showed that a PRx threshold value &gt; 0.34 had the highest combined sensitivity and specificity for predicting poor outcome with an AUC (95% CI) = 0.775 (0.583-0.967). When dichotomized using ROC curve analysis, a threshold PRx value of greater than 0.34 was independently associated with higher odds of poor outcome (OR 18.63, 95% CI 1.17-297.21, p = 0.038) after adjustment for potential confounders. CONCLUSIONS: Higher mean PRx is an independent predictor for poor outcome in patients with sTBI. Further study is required to evaluate the temporal role of PRx changes to improve neuroprognostication.

Impact of age on the host response to sepsis in a murine model of fecal-induced peritonitis

IntroductionDespite older adults being more vulnerable to sepsis, most preclinical research on sepsis has been conducted using young animals. This results in decreased scientific validity since age is an independent predictor of poor outcome. In this study, we explored the impact of aging on the host response to sepsis using the fecal-induced peritonitis (FIP) model developed by the National Preclinical Sepsis Platform (NPSP).MethodsC57BL/6 mice (3 or 12 months old) were injected intraperitoneally with rat fecal slurry (0.75 mg/g) or a control vehicle. To investigate the early stage of sepsis, mice were culled at 4 h, 8 h, or 12 h to investigate disease severity, immunothrombosis biomarkers, and organ injury. Mice received buprenorphine at 4 h post-FIP. A separate cohort of FIP mice were studied for 72 h (with buprenorphine given at 4 h, 12 h, and then every 12 h post-FIP and antibiotics/fluids starting at 12 h post-FIP). Organs were harvested, plasma levels of Interleukin (IL)-6, IL-10, monocyte chemoattract protein (MCP-1)/CCL2, thrombin-antithrombin (TAT) complexes, cell-free DNA (CFDNA), and ADAMTS13 activity were quantified, and bacterial loads were measured.ResultsIn the 12 h time course study, aged FIP mice demonstrated increased inflammation and injury to the lungs compared to young FIP mice. In the 72 h study, aged FIP mice exhibited a higher mortality rate (89%) compared to young FIP mice (42%) (p < 0.001). Aged FIP non-survivors also exhibited a trend towards elevated IL-6, TAT, CFDNA, CCL2, and decreased IL-10, and impaired bacterial clearance compared to young FIP non-survivors.ConclusionTo our knowledge, this is the first study to investigate the impact of age on survival using the FIP model of sepsis. Our model includes clinically-relevant supportive therapies and inclusion of both sexes. The higher mortality rate in aged mice may reflect increased inflammation and worsened organ injury in the early stage of sepsis. We also observed trends in impaired bacterial clearance, increase in IL-6, TAT, CFDNA, CCL2, and decreased IL-10 and ADAMTS13 activity in aged septic non-survivors compared to young septic non-survivors. Our aging model may help to increase the scientific validity of preclinical research and may be useful for identifying mechanisms of age-related susceptibility to sepsis as well as age-specific treatment strategies.

Genotype correlates with clinical course and outcome of children with tight junction protein 2 (TJP2) deficiency-related cholestasis.

The study aimed to describe the clinical course, outcomes, and analyze genotype-phenotype correlation in patients with tight junction protein 2 (TJP2) deficiency. Data from all children with chronic cholestasis and either homozygous or compound heterozygous mutations in TJP2 were extracted and analyzed. The patients were categorized into three genotypes: TJP2-A (missense mutations on both alleles), TJP2-B (missense mutation on one allele and a predicted protein-truncating mutation (PPTM) on the other), and TJP2-C (PPTMs on both alleles). A total of 278 cases of genetic intrahepatic cholestasis were studied, with TJP2 deficiency accounting for 44 cases (15.8%). Of these, 29 were homozygous and 15 were compound heterozygous variants of TJP2. TJP2-A genotype were identified in 21 (47.7%), TJP2-B in 7 cases (15.9%), and TJP2-C in 16 cases (36.4%), respectively. Patients with the TJP2-C genotype were more likely to experience early infantile cholestasis (87.5% vs. 53.5%, p=0.033), less likely to clear jaundice (12.5% vs. 52.2%, p=0.037), more likely to develop ascites, and had higher serum bile acids. Patients with the TJP2-C genotype were more likely to die or require liver transplantation (LT) (native liver survival: 12.5% vs. 78.6%, p<0.001), with a median age at death/LT of 2.5 years. Cox regression analysis revealed that TJP2-C mutations (p=0.003) and failure to resolve jaundice (p=0.049) were independent predictors of poor outcome. Patients with the TJP2-C genotype carrying PPTMs in both alleles had a rapidly progressive course, leading to early decompensation and death if they did not receive timely LT.

MET overexpression correlated with prognosis of EGFR-mutant treatment‑naïve advanced lung adenocarcinoma: a real‑world retrospective study.

About 50-60% treatment-naïve advanced non-small-cell lung cancers were coexistence of epidermal growth factor receptor (EGFR) and mesenchymal epithelial transition (MET) overexpression. However, few studies demonstrated the prognostic value of MET protein expression in untreated EGFR-mutant lung adenocarcinoma (LUAD). A total of 235 EGFR-mutant untreated advanced LUAD patients were retrospectively enrolled. MET expression was determined using immunohistochemistry, and MET positivity was defined as 2 + or 3 + using the METmab scoring algorithm. Progression-free survival (PFS) and overall survival (OS) were analysed according to MET expression status. Independent factors predicting prognosis were identified using multivariate Cox regression analyses. Of the 235 patients, 113 (48.1%) harboured exon 19 deletion (19_del), 103 (43.8%) had exon 21 L858R mutations, and 19 (8.1%) had other mutation types, including exon 21 L861Q, exon 18 G719A/C, exon 20 S768I, and L858R/19_del double mutations. MET-positive expression was observed in 192 (81.7%) cases. There was no significant difference in baseline clinicopathological characteristics between MET positivity and MET negativity groups. Patients were stratified by different EGFR mutation subtypes. MET-positive patients in the L858R mutation subgroup had markedly shorter PFS and OS than MET-negative patients (median PFS: 13 versus 27.5months, p < 0.001; median OS: 29 versus not reached, p = 0.008), but no significant difference was observed in the 19_del subgroup. Multivariate Cox regression analyses indicated that MET positivity was an independent predictor for poor PFS and OS in L858R subgroup (PFS: HR = 3.059, 95% CI 1.552-6.029, p = 0.001; OS: HR = 3.511, 95% CI 1.346-9.160, p = 0.010). Additionally, an inferior survival outcome of MET positivity was observed in the L858R mutation subgroup when treated with EGFR-tyrosine kinase inhibitor (TKI) monotherapy as the first-line regimen (median PFS: 13 versus 36.5months, p < 0.001; median OS: 29 versus not reached, p = 0.012) but not with EGFR-TKI plus platinum doublet chemotherapy. MET positive expression was an independent predictor of poor outcomes in untreated EGFR L858R mutation advanced LUAD patients treated with first-line EGFR-TKI monotherapy.

Preoperative prescription opioid use as an independent predictor of 90-day mortality and adverse events in craniotomy and craniectomy patients.

A growing body of literature suggests that preoperative opioid exposure is an independent predictor of poor outcomes in surgical patients. No outcomes data exist on preoperative opioid use and craniotomies/craniectomies. The objective of this study was to determine the impact of preoperative opioid use on 90-day adverse events after craniotomy or craniectomy. A single-center retrospective cohort study of 2445 patients undergoing a craniotomy/craniectomy between January 1, 2013, and October 1, 2018, was conducted. Baseline demographics, pre- and postoperative opioid use (morphine milligram equivalents [MMEs]), and surgical metrics were recorded. Patients were categorized based on whether they took prescription opioids preoperatively, defined as within 1 month of surgery, or were opioid naive. The outcomes were mortality and adverse events 90 days after craniotomy/craniectomy. Overall, 26.6% of patients composed the preoperative opioid group. The median daily MME intake among this group was 34.6 (IQR 14.1-90) MMEs. Lower employment rates (p < 0.001), uninsured status (p = 0.016), and intravenous drug use (p = 0.006) were associated with preoperative opioid use. Preoperative opioid use was associated with increased venous thromboembolism (p = 0.001), acute kidney injury (p = 0.002), acute respiratory failure (p < 0.001), myocardial infarction (p = 0.002), delirium (p < 0.001), and infection (p < 0.001). Preoperative opioid use was an independent predictor of overall 90-day adverse events (OR 1.643, 95% CI 1.289-2.095; p < 0.001) and 90-day mortality (OR 1.690, 95% CI 1.254-2.277; p < 0.001). Preoperative opioid use was independently associated with 90-day postoperative adverse events and mortality. Opioid use increases vulnerability in craniotomy/craniectomy patients and necessitates close monitoring to improve outcomes.

Stroke-associated pneumonia according to mCDC criteria: impact on prognosis and antibiotic therapy.

The modified Centers for Disease Control and Prevention (mCDC) criteria have been proposed for diagnosing and managing stroke-associated pneumonia (SAP). The objective was to investigate the impact of SAP on stroke outcome depending on whether or not it conforms to mCDC criteria. Our secondary objective was to identify the responsible factors for antibiotic initiation in stroke patients. We conducted a prospective, multicenter, observational study of ischemic stroke patients with moderate to severe stroke (NIHSS≥4) admitted within 24 h. For 7 days, mCDC criteria were assessed daily, and infections and antibiotics were recorded. Pneumonias were divided into those fulfilling mCDC criteria (mCDC-SAP) or not (other pneumonias, OPn). The effect of each type of pneumonia on 3-month outcome was evaluated in separated logistic regression models. Factors associated with antibiotic initiation were explored using a random forest analysis. Of the 342 patients studied, infections were diagnosed in 72 (21.6%), including 39 (11.7%) cases of pneumonia. Of them, 25 (7.5%) fulfilled mCDC criteria. Antibiotics were used in 92% of mCDC-SAP and 64.3% of OPn. In logistic regression analysis, mCDC-SAP, but not OPn, was an independent predictor of poor outcome [OR, 4.939 (1.022-23.868)]. The random forest analysis revealed that fever had the highest importance for antibiotic initiation. The mCDC criteria might be useful for detecting clinically relevant SAP, which is associated with poor outcomes. Isolated signs of infection were more important for antibiotic initiation than compliance with pre-defined criteria. Therefore, adherence to mCDC criteria might result in antibiotic saving without compromising clinical outcome.

Prognostic implications of systemic immune-inflammation index in myocardial infarction patients with and without diabetes: insights from the NOAFCAMI-SH registry.

It is well-known that systemic inflammation plays a crucial role in the pathogenesis and prognosis of acute myocardial infarction (AMI). The systemic immune-inflammation index (SII, platelet × neutrophil/lymphocyte ratio) is a novel index that is used for the characterization of the severity of systemic inflammation. Recent studies have identified the high SII level as an independent predictor of poor outcomes in patients with AMI. We aimed to investigate the prognostic implications of SII in AMI patients with and without diabetes mellitus (DM). We included 2111 patients with AMI from February 2014 to March 2018. Multivariable Cox regression analyses were performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of all-cause death and cardiovascular (CV) death. Multiple imputation was used for missing covariates. Of 2111 patients (mean age: 65.2 ± 12.2years, 77.5% were males) analyzed, 789 (37.4%) had DM. Generalized additive model analyses showed that as the SII increased, the C-reactive protein and peak TnT elevated while the LVEF declined, and these associations were similar in patients with and without DM. During a median of 2.5years of follow-up, 210 all-cause deaths and 154 CV deaths occurred. When treating the SII as a continuous variable, a higher log-transformed SII was significantly associated with increased all-cause mortality (HR: 1.57, 95%CI: 1.02-2.43) and CV mortality (HR: 1.85, 95%CI 1.12-3.05), and such an association was also significant in the diabetics (HRs and 95%CIs for all-cause death and CV death were 2.90 [1.40-6.01] and 3.28 [1.43-7.57], respectively) while not significant in the nondiabetics (Pinteraction for all-cause death and CV death were 0.019 and 0.049, respectively). Additionally, compared to patients with the lowest tertiles of SII, those with the highest tertiles of SII possessed significantly higher all-cause mortality (HR: 1.82, 95%CI 1.19-2.79) and CV mortality (HR: 1.82, 95%CI 1.19-2.79) after multivariable adjustment, and this relationship remained pronounced in the diabetics (HRs and 95%CIs for all-cause death and CV death were 2.00 [1.13-3.55] and 2.09 [1.10-3.98], respectively) but was not observed in the nondiabetics (HRs and 95%CIs for all-cause death and CV death were 1.21 [0.75-1.97] and 1.60 [0.89-2.90], respectively). Our restricted cubic splines analyses indicated a pronounced linear association between SII and mortality only in diabetics. In AMI patients with DM, high SII is an independent predictor of poor survival and may be helpful for patient's risk stratification.

Early and delayed blood-brain barrier permeability predicts delayed cerebral ischemia and outcomes following aneurysmal subarachnoid hemorrhage.

This study aimed to monitor blood-brain barrier permeability within 24 h and during the delayed cerebral ischemia (DCI) time window (DCITW) spanning 4-14 days after aneurysmal subarachnoid hemorrhage (aSAH) and to investigate its correlation with both DCI occurrence and outcomes at three months. A total of 128 patients were stratified based on the DCI occurrence and three-month modified Rankin scale scores. Comparison of Ktrans at admission (admission Ktrans) and during DCITW (DCITW Ktrans) was conducted between DCI and non-DCI groups, as well as between groups with good and poor outcomes. Changes in Ktrans were also analyzed. Multivariate logistic regression analysis was performed to identify independent predictors of DCI and poor outcomes. Admission Ktrans (0.58 ± 0.18 vs 0.47 ± 0.12, p= 0.002) and DCITW Ktrans (0.54 ± 0.19 vs 0.41 ± 0.14, p< 0.001) were significantly higher in the DCI group compared with the non-DCI group. Although both were higher in the poor outcome group than the good outcome group, the difference was not statistically significant at admission (0.53 ± 0.18 vs 0.49 ± 0.14, p= 0.198). Ktrans in the non-DCI group (0.47 ± 0.12 vs 0.41 ± 0.14, p= 0.004) and good outcome group (0.49 ± 0.14 vs 0.41 ± 0.14, p< 0.001) decreased significantly from the admission to DCITW. Multivariate analysis identified DCITW Ktrans and admission Ktrans as independent predictors of poor outcomes (OR = 1.73, 95%CI: 1.24-2.43, p= 0.001) and DCI (OR = 1.75, 95%CI: 1.25-2.44, p= 0.001), respectively. Elevated Ktrans at admission is associated with the occurrence of DCI. Continuous monitoring of Ktrans from admission to DCITW can accurately identify reversible and irreversible changes and can predict outcomes at 3 months. Ktrans measured with CT perfusion is a valuable tool for predicting both delayed cerebral ischemia and three-month outcomes following aneurysmal subarachnoid hemorrhage. Monitoring changes in Ktrans from admission to time window of delayed cerebral ischemia can guide treatment and management decisions for aneurysmal subarachnoid hemorrhage patients. • Ktrans measured at admission and during the delayed cerebral ischemia time window (4-14 days) holds distinct clinical significance following aneurysmal subarachnoid hemorrhage. • Admission Ktrans serves as a predictor for delayed cerebral ischemia, while continuous assessment of Ktrans from admission to the delayed cerebral ischemia time window can predict three-month outcomes. • Monitoring Ktrans at different stages improves instrumental in enhancing decision-making and treatment planning for patients with aneurysmal subarachnoid hemorrhage.

High-Sensitivity Cardiac Troponin and the Management of Congenital Heart Disease in Newborns and Infants.

Early cardiac interventions in newborns and infants suspected for congenital heart disease (CHD) decrease morbidity and mortality. After updating current evidence on the use of cardiac troponins (cTn) in the context of CHD for risk stratification at early ages, we discuss relevant issues, starting from the evidence that only the measurement of the cTnT form is useful in this population. In newborns/infants with CHD, the cTnT concentration increase is correlated with: (a) cardiac stress and hemodynamic parameters, but not with the type of CHD; (b) volume overload/right ventricular pressure overload; (c) postoperative hypoperfusion injury and mortality; and (d) effects of cardioprotective strategies. For infants with CHD, high-sensitivity cTnT (hs-cTnT) concentrations >25 ng/L are an independent predictor of poor outcomes. Transitioning from cTnT to hs-cTnT in newborns/infants improves the identification of: (a) physiopathological mechanisms and factors that increased hs-cTnT early after birth; (b) myocardial injury, even when subclinical; (c) identification of patients requiring immediate therapeutic interventions; and (d) 99th percentile upper reference limits (URLs). However, no reliable URLs are currently available to allow the detection of myocardial injury associated with CHD in newborns/infants. Additional data evaluating the clinical value of hs-cTnT in the risk stratification of newborns/infants with CHD who may suffer myocardial injury is needed. Validating the measurement, possibly in amniotic fluid samples, and improving the interpretation of hs-cTnT concentrations in the prenatal period, at birth and within 1 year of age are crucial to change CHD mortality/morbidity trends in the pediatric population.