The effect of anesthesia on hemodynamics and outcome of patients undergoing thrombectomy after acute ischemic stroke: a retrospective analysis.

BACKGROUND: Anesthesia during thrombectomy remains a matter of debate. We retrospectively investigated the influence of intraprocedural blood pressure and type of anaesthetic agent on 3-month functional outcome and mortality in stroke patients undergoing mechanical thrombectomy under general anesthesia in a single center study. METHODS: All patients suffering from stroke who presented between January 2019 and July 2021 at Ziekenhuis Oost-Limburg Genk, Belgium and who received thrombectomy were included. Patient's characteristics and outcome data had been collected for benchmarking. Detailed perioperative data were exported from the electronic anesthesia records and clinically validated. Patients were stratified by peri-operative presence of hypotension (MAP < 65 mmHg at any time point) versus no-hypotension (MAP ≥ 65 mmHg). RESULTS: All 98 patients received mechanical thrombectomy under general anesthesia. Thirty-six percent (n = 35) was hypotensive peri-operatively at any time point. Proportion of sevoflurane use was higher in non-hypotensive patients compared to hypotensive patients (73% (n = 45) vs. 51% (n = 18), p = 0.04). Peri-operative use of vasopressors was higher in the hypotensive group compared to non-hypotensive (88% (n = 30) vs. 63% (n = 39), p = 0.008). Proportion of patients with good functional outcome at 3 months (mRS 0-2) was higher in non-hypotensive patients compared to hypotensive patients 44% (n = 27) vs. 24% (n = 8), p < 0.05. 90-day mortality was lower in non-hypotensive patients compared to hypotensive patients 21% (n = 13) vs. 43% (n = 15), (p = 0.02). CONCLUSION: Patients who are hypotensive at any given time during thrombectomy under general anesthesia may have worse neurological outcome compared to non-hypotensive patients. The best anaesthetic management for mechanical thrombectomy needs to be clarified prospectively in large multicenter studies.

Prediction of Functional Outcome After Acute Ischemic Stroke: Comparison of the CT-DRAGON Score and a Reduced Features Set.

Background and Purpose: The CT-DRAGON score was developed to predict long-term functional outcome after acute stroke in the anterior circulation treated by thrombolysis. Its implementation in clinical practice may be hampered by its plethora of variables. The current study was designed to develop and evaluate an alternative score, as a reduced set of features, derived from the original CT-DRAGON score. Methods: This single-center retrospective study included 564 patients treated for stroke, in the anterior and the posterior circulation. At 90 days, favorable [modified Rankin Scale score (mRS) of 0-2] and miserable outcome (mRS of 5-6) were predicted by the CT-DRAGON in 427 patients. Bootstrap forests selected the most relevant parameters of the CT-DRAGON, in order to develop a reduced set of features. Discrimination, calibration and misclassification of both models were tested. Results: The area under the receiver operating characteristic curve (AUROC) for the CT-DRAGON was 0.78 (95% CI 0.74-0.81) for favorable and 0.78 (95% CI 0.72-0.83) for miserable outcome. Misclassification was 29% for favorable and 13.5% for miserable outcome, with a 100% specificity for the latter. National Institutes of Health Stroke Scale (NIHSS), pre-stroke mRS and age were identified as the strongest contributors to favorable and miserable outcome and named the reduced features set. While CT-DRAGON was only available in 323 patients (57%), the reduced features set could be calculated in 515 patients (91%) (p < 0.001). Misclassification was 25.8% for favorable and 14.4% for miserable outcome, with a 97% specificity for miserable outcome. The reduced features set had better discriminative power than CT-DRAGON for both outcomes (both p < 0.005), with an AUROC of 0.82 (95% CI 0.79-0.86) and 0.83 (95% CI 0.77-0.87) for favorable and miserable outcome, respectively. Conclusions: The CT-DRAGON score revealed acceptable discrimination in our cohort of both anterior and posterior circulation strokes, receiving all treatment modalities. The reduced features set could be measured in a larger cohort and with better discrimination. However, the reduced features set needs further validation in a prospective, multicentre study. Clinical Trial Registration: http://www.clinicaltrials.gov. Identifiers: NCT03355690, NCT04092543.

MetS Risk Score: A Clear Scoring Model to Predict a 3-Year Risk for Metabolic Syndrome.

Although several risk factors for metabolic syndrome (MetS) have been reported, there are few clinical scores that predict its incidence. Therefore, we created and validated a risk score for prediction of 3-year risk for MetS. Three-year follow-up data of 4395 initially MetS-free subjects, enrolled for an annual physical examination from Wenzhou Medical Center were analyzed. Subjects at enrollment were randomly divided into the training and the validation cohort. Univariate and multivariate logistic regression models were employed for model development. The selected variables were assigned an integer or half-integer risk score proportional to the estimated coefficient from the logistic model. Risk scores were tested in a validation cohort. The predictive performance of the model was tested by computing the area under the receiver operating characteristic curve (AUROC). Four independent predictors were chosen to construct the MetS risk score, including BMI (HR=1.906, 95% CI: 1.040-1.155), FPG (HR=1.507, 95% CI: 1.305-1.741), DBP (HR=1.061, 95% CI: 1.002-1.031), HDL-C (HR=0.539, 95% CI: 0.303-0.959). The model was created as -1.5 to 4 points, which demonstrated a considerable discrimination both in the training cohort (AUROC=0.674) and validation cohort (AUROC=0.690). Comparison of the observed with the estimated incidence of MetS revealed satisfactory precision. We developed and validated the MetS risk score with 4 risk factors to predict 3-year risk of MetS, useful for assessing the individual risk for MetS in medical practice.

Thrombin generation and platelet activation in cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy - A prospective cohort study.

BACKGROUND AND OBJECTIVES: Cytoreductive surgery (CRS) with hyperthermic intraperitoneal peroperative chemotherapy (HIPEC), indicated for patients with peritoneal metastases from digestive or gynecological malignancies alike, demonstrates a considerable impact on hemostatic metabolism, both on platelet and on coagulation level. The potential hemostatic interference in CRS and HIPEC is phase dependent. The hypothesis of this prospective cohort study is that the procedure exposed an increased thrombotic risk, resulting in a faster and increased thrombin generation and hyper platelet function. METHODS: This study explores the combined use of ROTEM (rotational thromboelastometry), PACT (platelet activation test) and CAT (thrombin generation test) assays during CRS and HIPEC with a follow-up of 7 days postoperative in 27 patients with confirmed histological diagnosis of peritoneal disease. RESULTS: Platelet reactivity (relative to before incision values) to CRP (collagen-related peptide) (p value 0.02) and TRAP (thrombin receptor activator peptide) (p value 0.048) seems to be slightly reduced during CRS and HIPEC with regard to αIIbß3 activation, while P-selectin expression is not affected. During surgery, CAT demonstrates that, the LT (lagtime) (p value 0.0003) and TTP (time-to-thrombin peak) values (p value 0.002) decrease while and the TP (thrombin peak) (p value 0.004) and ETP (endogenous thrombin potential) (p value 0.02) increase. Subsequently, after surgery, the LT and TTP increase and ETP and TP decrease in time. ROTEM EXTEM (extrinsic) MCF (maximum clot firmness) (p value 0.005), INTEM (intrinsic) MCF (p value 0.003) and FIBTEM (fibrinogen) MCF (p value <0.001) decreased during CRS. At day 7 INTEM and FIBTEM MCF values (p values of 0.004 and <0.001) were significantly higher than before surgery. No considerable changes in platelet count and hemoglobin concentration and absence of leukopenia are noticed. CONCLUSION: This approach detects changes in coagulation much earlier than noticed by standard coagulation tests.

Serum lactate level accurately predicts mortality in critically ill patients with cirrhosis with acute kidney injury.

BACKGROUND AND AIM: Serum lactate levels are routinely measured in critically ill patients with cirrhosis, and hyperlactatemia is a common finding, but its prognostic value remains controversial. Our aim was to examine whether serum lactate level could be used as a predictor of outcome in critically ill patients with cirrhosis (CICP) with acute kidney injury (AKI). PATIENTS AND METHODS: In this study, we included 480 consecutive patients with cirrhosis admitted to ICU, complicated with AKI, and were followed up for 365 days. Patients were divided into four groups (Q1-Q4) by serum lactate quartiles: Q1≤1.8 mg/dl, Q2=1.9-2.4 mg/dl, Q3=2.5-4.0 mg/dl, and Q4≥4.1 mg/dl. The hazard ratio (HR) and 95% confidence intervals (CIs) for hospital mortality were calculated across each quartile of serum lactate, using the Q1 as reference, and four models were built to adjust for the HR of mortality. RESULTS: Compared with patients in the survival group, nonsurvivors had higher serum lactate levels. Mortality rate increased progressively as the serum lactate level increased (Q1: 56.06%, Q2: 62.16%, Q3: 72.73% and Q4: 75.86%), and this relationship remained statistically significant after rigorous control of confounding factors in Q2, Q3, and Q4 with HRs of 1.03 (95% CI: 0.73-1.46), 1.40 (95% CI: 1.01-1.95), and 1.84 (95% CI: 1.28-2.64), respectively. CONCLUSION: Our study brings a new perspective to the role of lactate monitoring in CICP with AKI. Elevated serum lactate levels are associated with a higher mortality rate in CICP with AKI. Elevated serum lactate levels should be part of rapid diagnosis and initiation of therapy to improve clinical outcome.

The top 2,000 cited articles in critical care medicine: a bibliometric analysis.

BACKGROUND: The bibliometric analysis has been performed on several topics in critical care medicine (CCM) focusing on top 100 cited articles, but the analysis on CCM literature as a whole is missing. The present study aimed to perform a complete bibliometric analysis in the field of CCM. METHODS: An electronic search of the Scopus database was performed on Feb 13, 2018. The search strategy involved core terms related to CCM. The top 2,000 most cited articles in the field of CCM were included in the analysis. Descriptive statistics on these top-cited articles, country distributions, and journals are reported. Individual author's productivity was assessed with the Lotka's law. Co-occurrence of keywords was visualized with the Fruchterman-Reingold layout. The Walktrap algorithm was employed for clustering analysis. RESULTS: A total of 2,000 documents were included in the analysis with median citations of 386 times [interquartile range (IQR): 308-562 times]. The most cited article was the original paper that described the Acute Physiology and Chronic Health Evaluation (APACHE) II score. The included articles were published in 411 journals. The median number of documents published in one journal was 1, and the mean number was 4.9, indicating a skewed distribution. The maximum number of publications was 217 in CCM. Author's productivity profile was significantly different from the Lotka's law (P=0.001), with n and C values of 2.8 and 0.52, respectively. Fruchterman-Reingold network plot showed that studies involving human subject were the most common literature type. Sepsis was a major research topic that co-occurred with keywords such as disease severity, nonhuman, risk assessment and practice guideline. CONCLUSIONS: The study performed bibliometric analyses of 2,000 top-cited articles in CCM. The most cited article was the one which developed the APACHE II score. Author's productivity was significantly different from the Lotka's law.

Nonalcoholic fatty liver disease contributes to subclinical atherosclerosis: A systematic review and meta-analysis.

Nonalcoholic fatty liver disease (NAFLD) is associated with an increased risk of atherosclerotic cardiovascular disease. In our meta-analysis, we aimed to assess the correlation of NAFLD and four surrogate markers of subclinical atherosclerosis. PubMed, Embase, and the Cochrane Library were searched up until April 2017. Original studies investigating the association between NAFLD and subclinical atherosclerosis were included. The outcome data were extracted and pooled for the effect estimate by using a random-effects model. We used the Newcastle-Ottawa Quality Assessment Scale to assess the quality of the included studies. Of the 434 initially retrieved studies, 26 studies involving a total of 85,395 participants (including 29,493 patients with NAFLD) were included in this meta-analysis. The Newcastle-Ottawa Quality Assessment Scale scores suggested the included studies were of high quality. The pooled effects estimate showed that subjects with NAFLD exhibited a significant independent association with subclinical atherosclerosis compared to the non-NAFLD group (odds ratio, 1.60; 95% confidence interval, 1.45-1.78). Subgroup analysis suggested that the presence of NAFLD yielded a remarkable higher risk of increased carotid artery intima-media thickness/plaques, arterial stiffness, coronary artery calcification, and endothelial dysfunction with odds ratios (95% confidence interval) of 1.74 (1.47-2.06), 1.56 (1.24-1.96), 1.40 (1.22-1.60), and 3.73 (0.99-14.09), respectively. Conclusion: Our meta-analysis revealed a close link between NAFLD and subclinical atherosclerosis in light of four different indices. Patients with NAFLD might benefit from screening and surveillance of early atherosclerosis, which would facilitate the prediction of potential cardiovascular disease burden, risk stratification, and appropriate intervention in the long term. (Hepatology Communications 2018;2:376-392).

Stratified alpha-fetoprotein pattern accurately predicts mortality in patients with acute-on-chronic hepatitis B liver failure.

BACKGROUND: Alpha-fetoprotein (AFP) has been shown to predict the prognosis of liver disease in several studies. This study aimed to evaluate the prognostic value of stratified AFP in patients with acute-on-chronic hepatitis B liver failure (ACHBLF). METHODS: A total of 192 patients were included and AFP were categorized into quartiles. The prognostic value was determined for overall survival (OS) and assessed by Kaplan-Meier analysis. Univariate and multivariate Cox proportional hazard regression analyses studied the association of all independent parameters with disease prognosis. RESULTS: The optimal cut-off points of AFP were: (Q1) 252.3-4800.0 ng/ml, (Q2) 76.0-252.2 ng/ml, (Q3) 18.6-75.9 ng/ml, and (Q4) 0.7-18.5 ng/ml. Based on the Kaplan-Meier analysis of the OS, each AFP quartile revealed a progressively worse OS and apparent separation (log-rank P = 0.006). The second-highest quartiles of AFP (Q2) always demonstrated an extremely favorable short-term survival. Combining the lowest AFP quartiles with a serum sodium < 131mmol/L or an INR ≥ 3.3 showed a poor outcome (90-days survival of 25.0% and 11.9% respectively). CONCLUSIONS: Stratified AFP could strengthen the predictive power for short-term survival of patients with ACHBLF. Combining AFP quartiles with low serum sodium and high INR may better predict poor outcome in ACHBLF patients.

NAFL screening score: A basic score identifying ultrasound-diagnosed non-alcoholic fatty liver.

BACKGROUND: Several non-invasive diagnostic scores for non-alcoholic fatty liver (NAFL) have been developed, but the clinical application is limited because of their complexity. AIM: To develop and validate an easy-to-calculate scoring system to identify ultrasound-diagnosed NAFL. METHODS: 48,489 patients from 2 centers were included in this study. Multivariable logistic regression models were employed for model development. Ultrasonography was applied to diagnose NAFL. The selected variables were assigned an integer score proportional to the estimated coefficient from the logistic regression analysis, namely NAFL Screening Score (NSS). The ability of the NSS to identify NAFL was assessed by analyzing the area under the receiver operating characteristic curve (AUROC) and was tested in an independent validation cohort. Additionally, the performance of NSS was compared with existing models. RESULTS: NSS was developed as a basic score comprising of age, body mass index (BMI), triglyceride (TG), ALT/AST, fasting plasma glucose (FPG) and uric acid (UA) in both sexes. NSS showed a relatively good discriminative power (AUROC=0.825 for males, 0.861 for females in the validation cohort) in comparison with other models. The optimal cut-off point was 32 for males and 29 for females. CONCLUSION: We developed and validated NSS, an easy-to-use score sheet identify ultrasound-diagnosed NAFL. NSS may be clinically useful for initial diagnosing NAFL.

Elevation of plateletcrit increasing the risk of non-alcoholic fatty liver disease development in female adults: A large population-based study.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the one of the most common form of chronic liver disease in China, so it is important to apply bio-marker in predict the development of NAFLD. AIMS: This study aims to evaluate association between plateletcrit (PCT) and non-alcoholic fatty liver disease (NAFLD) in Chinese female adults. METHODS: NAFLD was defined as per ultrasound in this study and 9737 NAFLD-free female subjects from Wenzhou People's Hospital were followed for five years in average in the study. The determination of NAFLD PCT quartiles (Q1 to Q4) were defined: 0-0.16, 0.17-0.18, 0.19-0.21, ≥0.22. With Q1 used as reference, 95% confidence intervals (CIs) and hazard ratios (HRs) in different models were computed across each quartile. RESULTS: From Q1 to Q4, the incidence ratios (95% CIs) were 8.30 (7.14-9.47), 11.51 (10.12-12.89), 12.68 (11.47-13.89) and 16.46 (15.03-17.88). Simply considering PCT, in the longitudinal population, values in Q2, Q3 and Q4 had HRs (95% CIs) are 1.51 (1.25-1.84), 1.72 (1.44-2.06) and 2.34 (1.96-2.79) versus Q1. After adjusting for all known confounding variables, values in Q2, Q3 and Q4 had HRs (95% CIs) of 1.31 (1.08-1.60), 1.30 (1.09-1.56) and 1.54 (1.29-1.84) in females compared with Q1. CONCLUSIONS: We reported that elevated serum PCT levels are considered as an independently significant predictor for NAFLD development in females. The high PCT level contributes to the development of NAFLD.

Scoring model to predict outcome in critically ill cirrhotic patients with acute respiratory failure: comparison with MELD scoring models and CLIF-SOFA score.

BACKGROUND: Critically ill cirrhotic patients have a high mortality, particularly with concomitant respiratory failure on admission. There are no specific models in use for mortality risk assessment in critically ill cirrhotic patients with acute respiratory failure (CICRF). The aim is to develop a risk prediction model specific to CICRF in order to quantify the severity of illness. METHODS: We analyzed 949 CICRF patients extracted from the MIMIC-III database. The novel model (ARF-CLIF-SOFA) was developed from the CLIF-SOFA score. Cox regression analysis and AUROC were implemented to test the predictive accuracy, compared with existing scores including the CLIF-SOFA score and MELD-related scores. RESULTS: ARF-CLIF-SOFA contains PaO2/FiO2 ratio, lactate, MAP, vasopressor therapy, bilirubin and creatinine (1 point each; score range: 0-6). Based on our patient cohort, the ARF-CLIF-SOFA score had good predictive accuracy for predicting the 30-, 90-day and 1-year mortality (AUROC = 0.767 at 30-day, 0.768 at 90-day, 0.765 at 1-year, respectively). Additionally, the performance of the ARF-CLIF-SOFA is superior to existing scores (all P < 0.001). CONCLUSION: The ARF-CLIF-SOFA score can be considered a CICRF specific score with a better predictive accuracy compared to the existing scores.

Impact of platelet to lymphocyte ratio and metabolic syndrome on the prognosis of colorectal cancer patients.

OBJECTIVE: The aim of this study was to evaluate the prognostic value of both platelet to lymphocyte ratio (PLR) and metabolic syndrome (MetS) in colorectal cancer (CRC) patients. PATIENTS AND METHODS: We retrospectively enrolled 1,163 CRC patients. Preoperative values of PLR were stratified into three groups according to cut-off values of 120 and 220. The Kaplan-Meier analysis was used to calculate cumulative survival rate related to PLR and MetS. Cox proportional hazard regression models were used to analyze potential risk factors and the prognosis associated with PLR and MetS in CRC patients. RESULTS: PLR was significantly higher in the MetS(+) group as compared to MetS(-) group (P=0.039). An elevated PLR was significantly associated with mortality (P=0.014), but not the existence of MetS (P=0.235). In multivariate regression analysis, PLR was an independent risk factor for overall survival (OS) (P=0.046). For the subgroup with a PLR >220, MetS was an independent predictor for both OS and disease-free survival (P=0.039 and P=0.047, respectively) by multivariate analysis adjusting for confounding covariates. In addition, the presence of MetS was associated with a 2-fold increased risk of mortality and tumor recurrences (hazard ratio [HR] =2.0 and HR =1.9, P<0.05, respectively). CONCLUSION: Preoperative PLR was associated with MetS in CRC patients. Testing for the combined presence of PLR and MetS could potentially improve the predictive accuracy of CRC prognosis.

Early management of sepsis with emphasis on early goal directed therapy: AME evidence series 002.

Severe sepsis and septic shock are major causes of morbidity and mortality in patients entering the emergency department (ED) or intensive care unit (ICU). Despite substantial efforts to improve patient outcome, treatment of sepsis remains challenging to clinicians. In this context, early goal directed therapy (EGDT) represents an important concept emphasizing both early recognition of sepsis and prompt initiation of a structured treatment algorithm. As part of the AME evidence series on sepsis, we conducted a systematic review of all randomized controlled EGDT trials. Focus was laid on the setting (emergency department versus ICU) where EGDT was carried out. Early recognition of sepsis, through clinical or automated systems for early alert, together with well-timed initiation of the recommended therapy bundles may improve patients' outcome. However, the original "EGDT" protocol by Rivers and coworkers has been largely modified in subsequent trials. Currently, many investigators opt for an "expanded" EGDT (as suggested by the Surviving Sepsis Campaign). Evidence is also presented on the effectiveness of automated systems for early sepsis alert. Early recognition of sepsis and well-timed initiation of the SSC bundle may improve patient outcome.

Hierarchical cluster analysis in clinical research with heterogeneous study population: highlighting its visualization with R.

Big data clinical research typically involves thousands of patients and there are numerous variables available. Conventionally, these variables can be handled by multivariable regression modeling. In this article, the hierarchical cluster analysis (HCA) is introduced. This method is used to explore similarity between observations and/or clusters. The result can be visualized using heat maps and dendrograms. Sometimes, it would be interesting to add scatter plot and smooth lines into the panels of the heat map. The inherent R heatmap package does not provide this function. A series of scatter plots can be created using lattice package, and then background color of each panel is mapped to the regression coefficient by using custom-made panel functions. This is the unique feature of the lattice package. Dendrograms and color keys can be added as the legend elements of the lattice system. The latticeExtra package provides some useful functions for the work.

Nucleos(t)ide analogues for preventing HBV reactivation in immunosuppressed patients with hematological malignancies: a network meta-analysis.

BACKGROUND: We aimed to evaluate the efficacy of five oral nucleos(t)ide analogues (NAs), including lamivudine, entecavir, adefovir, telbivudine and tenofovir, for the prevention of hepatitis B virus (HBV) reactivation and HBV-related complications in chronic hepatitis B virus (CHB) infected patients with hematological malignancies receiving chemotherapy or hematopoietic stem cell transplantation (HSCT) by network meta-analysis. METHODS: The search identified 28 articles involving 5 different prophylactic regimens covering 1478 participants. RESULTS: Among five prophylactic regimes, tenofovir (predicted probability, 90%), was the most effective intervention followed by entecavir (88%) in preventing HBV reactivation. There was no significant difference between tenofovir and entecavir for preventing HBV reactivation. With regards to other outcomes, tenofovir and telbivudine was not included to evaluate due to lack of relevant studies. Entecavir was the most effective intervention in reducing the risk of HBV related hepatitis (100%), HBV related death (61%) and all other causes of hepatitis (98%). CONCLUSION: Tenofovir and entecavir might be the most potent regimes in prevention of HBV reactivation for CHB infected patients with hematological malignancies undergoing chemotherapy or HSCT.

Serum alkaline phosphatase, a risk factor for non-alcoholic fatty liver, but only for women in their 30s and 40s: evidence from a large cohort study.

BACKGROUND: Several risk factors are able to predict non-alcoholic fatty liver (NAFL) development, but the predictive value of serum alkaline phosphatase (ALP) remains uncertain. Our aim is to investigate the association between serum ALP levels and NAFL. METHODS: 21,331 NAFL-free subjects were included. Sex-specific ALP quartiles (Q1 to Q4) were defined. With Q1 used as reference, hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated across each quartile. RESULTS: After adjusting for confounding variables, values in Q2, Q3 and Q4 had HRs (95%CIs) of 1.16 (0.94-1.43), 1.38 (1.13-1.69), 1.51 (1.24-1.83) in females and 0.99 (0.90-1.09), 1.04 (0.95-1.14), 0.96 (0.87-1.05) in males, respectively. A subgroup analysis of age factors in females, from Q2 to Q4, adjusted HRs (95%CIs) were 1.31 (0.81-1.99), 1.86 (1.23-2.81), 2.44 (1.60-3.71) in their 30 s, 1.13 (0.83-1.54), 1.17 (0.85-1.62), 1.65 (1.22-2.25) in their 40 s, and 0.95 (0.51-1.78), 0.91 (0.52-1.62), 0.89 (0.53-1.52) in their 50 s. CONCLUSIONS: Higher serum ALP levels are considered a significant predictor for NAFL development in females aged 30 to 50.