scholarly journals Association Between Procalcitonin and Post-hepatectomy Liver Failure in Hepatocellular Carcinoma Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Yi-Ran Li ◽  
Xiao-Yan Meng ◽  
Rui-Qing Zong ◽  
Fei-Xiang Wu
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Liver Failure ◽  
Logistic Regression Analysis ◽  
Elevated Serum ◽  
Postoperative Outcomes ◽  
Short Term ◽  
Kaplan Meier

Objectives: Procalcitonin (PCT) has long been proved as an early diagnostic signal for postoperative outcomes. The purpose of this study is to explore the value of serum procalcitonin levels in predicting post-hepatectomy liver failure (PHLF), and further to declarethe relationship between postoperative PCT and short-term prognosis in patients after hepatectomy.Methods: Clinical data of patients with hepatocellular carcinoma (HCC) who underwent hepatectomy from June 1st, 2019 to September 31st, 2020 at Shanghai Eastern Hepatobiliary Surgery Hospital had been retrospectively analyzed. Logistic regression analysis was used to evaluate the risk factors related to PHLF. The Kaplan-Meier method was used to calculate the PHLF rate and 30-day survival after surgery.Results: A total of 885 patients with complete data were finally included in analysis, 311 of them with elevated serum PCT (≥1 ng/ml). Results of the logistic regression analysis suggested a significant association between PCT and PHLF [HR, 95%CI; 3.801 (1.825, 7.917), p < 0.001]. Other significant risk factors for PHLF included portal hypertension, portal blocking time (>30 min) and blood transfusion (>200 ml). Kaplan-Meier analysis also suggested a higher PHLF rate in elevated PCT patients [9.0% (95% CI, 7.3 to 12.8 VS. 1.9% (95% CI, 1.1–4.3)); p < 0.001]. For secondary outcomes, elevated PCT was also highly associated with postoperative sepsis, ICU admission, 30-day mortality and 3-month mortality.Conclusion: Elevated procalcitonin level in patients after hepatectomy is related to higher PHLF rate, with lower 30-day survival and poor short-term postoperative outcomes.

Impact of diabetes mellitus on risk of major vessel invasion and distant metastasis in hepatocellular carcinoma.

2011 ◽  
Vol 29 (4_suppl) ◽  
pp. 174-174 ◽  
Author(s):  
G. C. Connolly ◽  
S. Safadjou ◽  
R. Kashyap ◽  
R. Chen ◽  
A. Ndauguba ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Distant Metastasis ◽  
Advanced Disease ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression

174 Background: Diabetes mellitus (DM) is identified as a negative prognostic indicator in hepatocellular carcinoma (HCC), though the basis for this is unknown. Methods: We conducted a retrospective review of 279 advanced and 191 transplanted HCC patients diagnosed between 1998 and 2008. Logistic regression analyses were conducted to assess the effect of clinical DM on clinical outcomes including distant metastasis and vascular invasion. Results: Eighty- four of 191 (44%) transplanted patients had DM at time of transplantation and 97 of 279 (34%) nontransplanted patients had DM at the time of diagnosis. The presence of DM was associated with an older age at time of diagnosis and a higher prevalence of hepatitis C virus (HCV) and nonalcoholic steatohepatitis (NASH). Also 30% (30/97) of diabetics compared to only 9.3% (17/182) of nondiabetics (p<0.0001) among the cohort with advanced disease had distant metastasis at the time of initial diagnosis, and this difference remained significant when adjusting for CLIP stage, age, and etiologic risk factors in a multivariate logistic regression analysis (OR=8.3, p<0.0001). The association of DM with invasive disease was echoed among early stage transplanted HCC patients in whom histologically confirmed macrovascular invasion was higher among patients with DM compared to those without (20.5% vs. 9.5%, p=0.032). The association of DM with increased risk of macrovascular invasion remained significant in a multivariate logistic regression analysis when adjusting for tumor size, number of nodules, age, obesity and etiologic risk factors (OR=3.2, p=0.025). Conclusions: DM was associated with significantly higher incidence of histological macrovascular invasion in a large cohort of HCC patients receiving liver transplantation and a significantly higher rate of distant metastatic disease at diagnosis in a large cohort of HCC patients with advanced disease. No significant financial relationships to disclose.

scholarly journals A Radiomics Nomogram for Preoperative Prediction of Early Recurrence of Small Hepatocellular Carcinoma After Surgical Resection or Radiofrequency Ablation

2021 ◽  
Vol 11 ◽  
Author(s):  
Liting Wen ◽  
Shuping Weng ◽  
Chuan Yan ◽  
Rongping Ye ◽  
Yuemin Zhu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Platelet Count ◽  
Logistic Regression Analysis ◽  
Early Recurrence ◽  
Small Hepatocellular Carcinoma ◽  
Final Model ◽  
Small Hcc

BackgroundPatients with small hepatocellular carcinoma (HCC) (≤3 cm) still have a poor prognosis. The purpose of this study was to develop a radiomics nomogram to preoperatively predict early recurrence (ER) (≤2 years) of small HCC.MethodsThe study population included 111 patients with small HCC who underwent surgical resection (SR) or radiofrequency ablation (RFA) between September 2015 and September 2018 and were followed for at least 2 years. Radiomic features were extracted from the entire tumor by using the MaZda software. The least absolute shrinkage and selection operator (LASS0) method was applied for feature selection, and radiomics signature construction. A rad-score was then calculated. Multivariable logistic regression analysis was used to establish a prediction model including independent clinical risk factors, radiologic features and rad-score, which was ultimately presented as a radiomics nomogram. The predictive ability of the nomogram was evaluated using the area under the receiver operating characteristic (ROC) curve and internal validation was performed via bootstrap resampling and 5-fold cross-validation method.ResultsA total of 53 (53/111, 47.7%) patients had confirmed ER according to the final clinical outcomes. In univariate logistic regression analysis, cirrhosis and hepatitis B infection (P=0.015 and 0.083, respectively), hepatobiliary phase hypointensity (P=0.089), Child-Pugh score (P=0.083), the preoperative platelet count (P=0.003), and rad-score (P&lt;0.001) were correlated with ER. However, after multivariate logistic regression analysis, only the preoperative platelet count and rad-score were included as predictors in the final model. The area under ROC curve (AUC) of the radiomics nomogram to predict ER of small HCC was 0.981 (95% CI: 0.957, 1.00), while the AUC verified by bootstrap is 0.980 (95% CI: 0.962, 1.00), indicating the goodness-of-fit of the final model.ConclusionsThe radiomics nomogram containing the clinical risk factors and rad-score can be used as a quantitative tool to preoperatively predict individual probability of ER of small HCC.

scholarly journals Effect of Microvascular Invasion on the Prognosis in Hepatocellular Carcinoma and Analysis of Related Risk Factors: A Two-Center Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Wang Yanhan ◽  
Lu Lianfang ◽  
Liu Hao ◽  
Ding Yunfeng ◽  
Song Nannan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Microvascular Invasion ◽  
Pathological Examination ◽  
Related Risk ◽  
The Impact

Objective: Microvascular invasion is considered to initiate intrahepatic metastasis and postoperative recurrence of hepatocellular carcinoma (HCC). We aimed to analyze the effect of MVI on the prognosis in HCC and identify related risk factors for microvascular invasion (MVI).Methods: The clinical data of 553 HCC patients who underwent liver surgery at Qingdao University from January 2014 to December 2018 and 89 patients at Beijing Tsinghua Changgung Hospital treated between October 2014 and October 2019 were collected retrospectively. We explored the impact of MVI on the prognosis of patients with HCC using Kaplan-Meier analysis. We conducted logistic regression analysis to identify variables significantly related to MVI.Results: Pathological examination confirmed the presence of MVI in 265 patients (41.3%). Six factors independently correlated with MVI were incorporated into the multivariate logistic regression analysis: Edmondson-Steiner grade [odds ratio (OR) = 3.244, 95%CI: 2.243–4.692; p &lt; 0.001], liver capsule invasion (OR = 1.755; 95%CI: 1.215–2.535; p = 0.003), bile duct tumor thrombi (OR = 20.926; 95%CI: 2.552–171.553; p = 0.005), α-fetoprotein (&gt; 400 vs. &lt; 400 ng/ml; OR = 1.530; 95%CI: 1.017–2.303; p = 0.041), tumor size (OR = 1.095; 95%CI: 1.027–1.166; p = 0.005), and neutrophil-lymphocyte ratio (OR = 1.086; 95%CI: 1.016–1.162; p = 0.015). The area under the receiver operating characteristic curve (AUC) was 0.743 (95%CI: 0.704–0.781; p &lt; 0.001), indicating that our logistic regression model had significant clinical usefulness.Conclusions: We analyzed the effect of MVI on the prognosis in HCC and evaluated the risk factors for MVI, which could be helpful in making decisions regarding patients with a high risk of recurrence.

scholarly journals Risk factors for tissue expander infection in scar reconstruction: a retrospective cohort study of 2374 consecutive cases

2020 ◽  
Vol 8 ◽  
Author(s):  
Chen Dong ◽  
Minhui Zhu ◽  
Luguang Huang ◽  
Wei Liu ◽  
Hengxin Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Treatment Failure ◽  
Logistic Regression Analysis ◽  
Disease Duration ◽  
Multivariate Logistic Regression Analysis ◽  
Tissue Expansion ◽  
Multivariate Logistic Regression ◽  
Hematoma Evacuation

Abstract Background Tissue expansion is used for scar reconstruction owing to its excellent clinical outcomes; however, the complications that emerge from tissue expansion hinder repair. Infection is considered a major complication of tissue expansion. This study aimed to analyze the perioperative risk factors for expander infection. Methods A large, retrospective, single-institution observational study was carried out over a 10-year period. The study enrolled consecutive patients who had undergone tissue expansion for scar reconstruction. Demographics, etiological data, expander-related characteristics and postoperative infection were assessed. Univariate and multivariate logistic regression analysis were performed to identify risk factors for expander infection. In addition, we conducted a sensitivity analysis for treatment failure caused by infection as an outcome. Results A total of 2374 expanders and 148 cases of expander infection were assessed. Treatment failure caused by infection occurred in 14 expanders. Multivariate logistic regression analysis identified that disease duration of ≤1 year (odds ratio (OR), 2.07; p &lt; 0.001), larger volume of expander (200–400 ml vs &lt;200 ml; OR, 1.74; p = 0.032; &gt;400 ml vs &lt;200 ml; OR, 1.76; p = 0.049), limb location (OR, 2.22; p = 0.023) and hematoma evacuation (OR, 2.17; p = 0.049) were associated with a high likelihood of expander infection. Disease duration of ≤1 year (OR, 3.88; p = 0.015) and hematoma evacuation (OR, 10.35; p = 0.001) were so related to high risk of treatment failure. Conclusions The rate of expander infection in patients undergoing scar reconstruction was 6.2%. Disease duration of &lt;1 year, expander volume of &gt;200 ml, limb location and postoperative hematoma evacuation were independent risk factors for expander infection.

Characteristics of Adenocarcinoma of the Gallbladder Following Cholecystectomies in the Hispanic Population

2019 ◽  
Vol 152 (Supplement_1) ◽  
pp. S64-S65
Author(s):  
David Gustafson ◽  
Osvaldo Padilla
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Incidental Finding ◽  
Conditional Logistic Regression ◽  
Gallbladder Disease ◽  
Predictor Variables ◽  
Wall Thickening ◽  
Conditional Logistic Regression Analysis

Abstract Introduction Gallbladder adenocarcinoma (GBC) is a rare malignancy. Frequency of incidental adenocarcinoma of the gallbladder in the literature is approximately 0.2% to 3%. Typically, GBC is the most common type and is discovered late, not until significant symptoms develop. Common symptoms include right upper quadrant pain, nausea, anorexia, and jaundice. A number of risk factors in the literature are noted for GBC. These risk factors are also more prevalent in Hispanic populations. This study sought to compare patients with incidental gallbladder adenocarcinomas (IGBC) to those with high preoperative suspicion for GBC. Predictor variables included age, sex, ethnicity, radiologic wall thickening, gross pathology characteristics (wall thickness, stone size, stone number, and tumor size), histologic grade, and staging. Methods Cases of GBC were retrospectively analyzed from 2009 through 2017, yielding 21 cases. Data were collected via Cerner EMR of predictor variables noted above. Statistical analysis utilized conditional logistic regression analysis. Results The majority of patients were female (n = 20) and Hispanic (n = 19). There were 14 IGBCs and 7 nonincidental GBCs. In contrast with previous research, exact conditional logistic regression analysis revealed no statistically significant findings. For every one-unit increase in AJCC TNM staging, there was a nonsignificant 73% reduction in odds (OR = 0.27) of an incidental finding of gallbladder carcinoma. Conclusion This study is important in that it attempts to expand existing literature regarding a rare type of cancer in a unique population, one particularly affected by gallbladder disease. Further studies are needed to increase predictive knowledge of this cancer. Longer studies are needed to examine how predictive power affects patient outcomes. This study reinforces the need for routine pathologic examination of cholecystectomy specimens for cholelithiasis.

scholarly journals Monocytes as an Early Predictor for Patients with Acute Paraquat Poisoning: A Retrospective Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Yong Zhao ◽  
Ya Qi Song ◽  
Jie Gao ◽  
Shun Yi Feng ◽  
Yong Li
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Receiver Operator Characteristic ◽  
Monocyte Count ◽  
Central Hospital ◽  
Predictive Values ◽  
Kaplan Meier ◽  
Independent Risk Factors ◽  
Early Predictor

Background. The predictive values of monocytes in the prognosis of patients with acute paraquat (PQ) poisoning are unclear. This retrospective study investigated the predictive values of monocytes in the prognosis of patients with acute PQ poisoning. Methods. Adult patients who suffered from acute PQ poisoning in the emergency care unit of Cangzhou Central Hospital from May 2012 to December 2018 were enrolled. The patients were divided into groups, namely, survival and nonsurvival, according to a 90-day prognosis. Moreover, correlation, logistic regression, receiver-operator characteristic (ROC), and Kaplan–Meier curve analyses were applied to evaluate the monocyte values used to predict the prognosis of patients with acute PQ poisoning. Result. Among the 109 patients, 45 survived within 90 days after the poisoning, resulting in a 41.28% survival rate. The monocyte count of the nonsurvivors was significantly higher than that of the survivors (P< 0.001). Correlation analysis showed that monocyte count positively correlated with plasma PQ concentration (r= 0.413; P< 0.001) and negatively correlated with survival time (r= 0.512; P< 0.001) and 90-day survival (r= 0.503; P< 0.001). Logistic regression analysis showed that elevated monocytes were the independent risk factors for the 90-day survival. The area under the ROC curve of the monocyte count used to predict the 90-day survival was 0.826 (95% CI: 0.751–0.904), the optimal cut-off was 0.51×109/L, sensitivity was 73.4%, and specificity was 86.7%. Conclusion. This study demonstrated that elevated monocyte count is a useful early predictor of 90-day survival in patients with acute PQ poisoning. However, further studies are warranted to draw firm conclusions.

scholarly journals Clinical profile and factors determining outcome of intramural very low birth weight babies in a tertiary care centre: a retrospective study

2017 ◽  
Vol 5 (2) ◽  
pp. 520
Author(s):  
Devi Meenakshi K. ◽  
Arasar Seeralar A. T. ◽  
Srinivasan Padmanaban
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Logistic Regression Analysis ◽  
Very Low Birth Weight ◽  
Tertiary Care ◽  
P Value ◽  
Increased Risk

Background: Very low birth weight (VLBW) babies are at increased risk of a number of complications both immediate and late. Worldwide it has been observed that these babies contribute to a significant extent to neonatal mortality and morbidity. Aim of the study was to study the risk factors contributing to mortality in VLBW babies and to evaluate the morbidity pattern in these infants.Methods: A retrospective analysis of data retrieved from the case records of VLBW babies admitted in the NICU of Kilpauk Medical College between January 2015 to December 2015. Out of the 2360 intramural babies admitted during the study period, 99 babies were less than 1500 gms. The risk factors for these babies were analyzed for their association with the outcome. Data were statistically analyzed.Results: In present study, we found that sex of the baby, gestational age, obstetric score, birth asphyxia, pulmonary haemorrhage, ROP and presence of shock were found to be associated with increased mortality. By logistic regression analysis it was observed that birth weight of the baby (p value 0.002), duration of stay (p value 0.0006), presence of shock (p<0.0001), were the risk factors significantly associated with poor outcome.Conclusions: Among the maternal and neonatal factors analyzed in the study using logistic regression analysis, birth weight, duration of hospital stay and presence of shock were significantly related to poor outcome. Of these presence of shock was the single most important factor that predicted increased mortality.

scholarly journals Late Acute Kidney Injury is a Poor Prognosis Sign in Severe Burns: A Retrospective Cohort Study

2020 ◽  
Author(s):  
Bo You ◽  
Zi Chen Yang ◽  
Yu Long Zhang ◽  
Yu Chen ◽  
Yun Long Shi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Poor Prognosis ◽  
Multiple Logistic Regression Analysis ◽  
Kidney Injury ◽  
Occurrence Rate ◽  
Severe Burns ◽  
Epidemiological Characteristics

Abstract BackgroundAcute kidney injury (AKI) is a morbid complication and the main cause of multiple organ failure and death in severely burned patients. The objective of this study was to explore the epidemiological characteristics, the risk factors, and impact of both early and late AKIs, respectively.MethodsThis retrospective study was performed with prospectively collected data of severely burned patients from the Institute of Burn Research in Southwest Hospital during 2011-2017. AKI was diagnosed according to Kidney Disease Improving Global Outcomes (KDIGO) criteria (2012), and it was divided into early and late AKIs depending on its onset time (within the first 3 days or >3 days post burn). The baseline characteristics, clinical data, and outcomes of the three groups (early AKI, late AKI and non-AKI) were compared using logistic regression analysis. Mortality predictors of patients with AKI were assessed.ResultsA total of 637 patients were included in analysis. The incidence of AKI was 36.9% (early AKI 29.4%, late AKI 10.0%). The mortality of patients with AKI was 32.3% (early AKI 25.7%, late AKI 56.3%), and that of patients without AKI was 2.5%. AKI was independently associated with obviously increased mortality of severely burned patients [early AKI, OR = 12.98 (6.08-27.72); late AKI, OR = 34.02 (15.69-73.75)]. Multiple logistic regression analysis revealed that age, gender, total burn surface area (TBSA), full-thickness burns of TBSA, chronic comorbidities (hypertension or/and diabetes), hypovolemic shock of early burn, and tracheotomy were independent risk factors for both early and late AKIs. However, sepsis was only a risk factor for late AKI. Decompression escharotomy was a protective factor for both AKIs. ConclusionsAKI remains prevalent and is associated with high mortality in severely burned patients. Compared with early AKI, late AKI has a lower occurrence rate, but greater severity and worse prognosis，is a devastating complication. Late AKI is a poor prognosis sign in severe burns.

scholarly journals Predictive risk factors for worse outcomes in COVID-19 patients with different clinical features at baseline

2021 ◽  
Author(s):  
Elisabetta Schiaroli ◽  
Anna Gidari ◽  
Giovanni Brachelente ◽  
Sabrina Bastianelli ◽  
Alfredo Villa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Critical Illness ◽  
Serum Ferritin ◽  
Logistic Regression Analysis ◽  
Severe Disease ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Neutrophil Lymphocyte Ratio

IntroductionCOVID-19 is characterized by a wide range of clinical expression and by possible progression to critical illness and death. Therefore it is essential to identify risk factors predicting progression towards serious and fatal diseases. The aim of our study was to identify laboratory predictive markers of clinical progression in patients with moderate/severe disease and in those with acute respiratory distress syndrome (ARDS).Material and methodsUsing electronic medical records for all demographic, clinical and laboratory data, a retrospective study on all consecutive patients with COVID-19 admitted to the Infectious Disease Clinic of Perugia was performed. The PaO2/FiO2 ratio (P/F) assessment cut‑off of 200 mm Hg was used at baseline to categorize the patients into two clinical groups. The progression towards invasive ventilation and/or death was used to identify critical outcome. Statistical analysis was performed. Multivariate logistic regression analysis was adopted to identify risk factors of critical illness and mortality.ResultsIn multivariate logistic regression analysis neutrophil/lymphocyte ratio (NLR) was the only significant predictive factor of progression to a critical outcome (p = 0.03) and of in-hospital mortality (p = 0.03). In ARDS patients no factors were associated with critical progression. Serum ferritin > 1006 ng/ml was the only predictive value of critical outcome in COVID-19 subjects with moderate/severe disease (p = 0.02).ConclusionsNeutrophil/lymphocyte ratio and serum ferritin are the only biomarkers that can help to stratify the risk of severity and mortality in patients with COVID-19.

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