scholarly journals Nomogram to Predict Intensive Care Following Gastrectomy for Gastric Cancer: A Useful Clinical Tool to Guide the Decision-Making of Intensive Care Unit Admission

2022 ◽  
Vol 11 ◽  
Author(s):  
Tao Pan ◽  
Xiao-long Chen ◽  
Kai Liu ◽  
Bo-qiang Peng ◽  
Wei-han Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Intensive Care Unit ◽  
Regression Analysis ◽  
Intensive Care ◽  
Validation Cohort ◽  
Blood Transfusions ◽  
Chronic Pulmonary Disease ◽  
Training Cohort ◽  
Specific Care

BackgroundWe aimed to generate and validate a nomogram to predict patients most likely to require intensive care unit (ICU) admission following gastric cancer surgery to improve postoperative outcomes and optimize the allocation of medical resources.MethodsWe retrospectively analyzed 3,468 patients who underwent gastrectomy for gastric cancer from January 2009 to June 2018. Here, 70.0% of the patients were randomly assigned to the training cohort, and 30.0% were assigned to the validation cohort. Least absolute shrinkage and selection operator (LASSO) method was performed to screen out risk factors for ICU-specific care using the training cohort. Then, based on the results of LASSO regression analysis, multivariable logistic regression analysis was performed to establish the prediction nomogram. The calibration and discrimination of the nomogram were evaluated in the training cohort and validated in the validation cohort. Finally, the clinical usefulness was determined by decision curve analysis (DCA).ResultsAge, the American Society of Anesthesiologists (ASA) score, chronic pulmonary disease, heart disease, hypertension, combined organ resection, and preoperative and/or intraoperative blood transfusions were selected for the model. The concordance index (C-index) of the model was 0.843 in the training cohort and 0.831 in the validation cohort. The calibration curves of the ICU-specific care risk nomogram suggested great agreement in both training and validation cohorts. The DCA showed that the nomogram was clinically useful.ConclusionsAge, ASA score, chronic pulmonary disease, heart disease, hypertension, combined organ resection, and preoperative and/or intraoperative blood transfusions were identified as risk factors for ICU-specific care after gastric surgery. A clinically friendly model was generated to identify those most likely to require intensive care.

scholarly journals Prediction of 90-day mortality among sepsis patients based on a nomogram integrating diverse clinical indices

2021 ◽  
Author(s):  
Qing-Bo Zeng ◽  
Long-Ping He ◽  
Nian-Qing Zhang ◽  
Qing-Wei Lin ◽  
Lin-Cui Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Validation Cohort ◽  
International Normalized Ratio ◽  
Curve Analysis ◽  
Individual Risk ◽  
Decision Curve Analysis ◽  
Training Cohort ◽  
Receiver Operating Characteristic Curves ◽  
Individual Risk Factors

Abstract Background Sepsis is prevalent among intensive care units and is a frequent cause of death. Several studies have identified individual risk factors or potential predictors of sepsis-associated mortality, without defining an integrated predictive model. The present work aimed to define a nomogram for reliably predicting mortality. Methods We carried out a retrospective, single-center study based on 231 patients with sepsis who were admitted to our intensive care unit between May 2018 and October 2020. Patients were randomly split into training and validation cohorts. In the training cohort, multivariate logistic regression and a stepwise algorithm were performed to identify risk factors, which were then integrated into a predictive nomogram. Nomogram performance was assessed against the training and validation cohorts based on the area under receiver operating characteristic curves (AUC), calibration plots and decision curve analysis. Results Among the 161 patients in the training cohort and 70 patients in the validation cohort, 90-day mortality was 31.6%. Older age and higher values for the international normalized ratio, lactate level, and thrombomodulin level were associated with greater risk of 90-day mortality. The nomogram showed an AUC of 0.810 (95% CI 0.739 to 0.881) in the training cohort and 0.813 (95% CI 0.708 to 0.917) in the validation cohort. The nomogram also performed well based on the calibration curve and decision curve analysis. Conclusion This nomogram may help identify sepsis patients at elevated risk of 90-day mortality, which may help clinicians allocate resources appropriately to improve patient outcomes.

scholarly journals Influence of Tigecycline on Liver Function in Adult Patients in the Intensive Care Unit

2021 ◽  
Author(s):  
Jingnan Song ◽  
Pan Chen ◽  
Zhaoxia Tang ◽  
Yifan Zheng ◽  
Xiao Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Regression Analysis ◽  
Intensive Care ◽  
Liver Disease ◽  
Liver Injury ◽  
Liver Function ◽  
Adult Patients ◽  
Apache Ii Score ◽  
Cox Regression Analysis

Abstract Background There are few studies investigating TGC-associated hepatotoxicity in ICU patients, and the pathogenesis of hepatotoxicity and identification of risk factors are limited. Objectives To analyze the influence of tigecycline (TGC) on liver function in adult patients in the Intensive Care Unit to identify potential risk factors for tigecycline-induced liver injury (TILI). Methods Patients receiving tigecycline treatment in ICU during January 2019 to October 2020 were retrospectively enrolled. The liver function parameters before and after tigecycline treatment were collected, and risk factors associated with TILI was identified by logistic regression analysis. The probability of 28-day mortality was determined in Cox regression analysis. Results A total of 242 patients were enrolled, and TILI was identified in 24 patients (9.92%), of whom 75.0% had grade 1 liver injury, and 16.67%, 4.17%, 4.17% had grade 2 to 4 liver injury, respectively. The pattern of hepatotoxicity was hepatocellular in 16 patients (66.67%), cholestatic in 4 patients (16.67%), and mixed in 4 patients (16.67%). The median time from tigecycline start to symptoms was only 5 days (IQR, 3-7 days). Multivariate analysis identified tigecycline dose ≥ 200mg/day, longer course of treatment and preexisting liver disease tend to be independently associated with TILI. In addition, APACHE II score > 15, higher dose of tigecycline and TILI were independent risk factors of 28-day mortality, while longer course of tigecycline reduced this risk despite its association with TILI. Conclusions The maintenance dose and course of tigecycline, as well as liver disease is considered as risk factors of hepatotoxicity. 28-day mortality tended to be higher in TILI patients. The relationships among tigecycline dose and course, TILI and mortality should be further investigated.

scholarly journals Risk Factors and Outcomes of Acute Kidney Injury in Critically Ill Patients with Coronavirus Disease 2019

2020 ◽  
pp. 1-9
Author(s):  
Yichun Cheng ◽  
Nanhui Zhang ◽  
Ran Luo ◽  
Meng Zhang ◽  
Zhixiang Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Kidney Injury ◽  
Stage 1

<b><i>Background:</i></b> Coronavirus disease 2019 (COVID-19) has emerged as a major global health threat with a great number of deaths worldwide. Acute kidney injury (AKI) is a common complication in patients admitted to the intensive care unit. We aimed to assess the incidence, risk factors and in-hospital outcomes of AKI in COVID-19 patients admitted to the intensive care unit. <b><i>Methods:</i></b> We conducted a retrospective observational study in the intensive care unit of Tongji Hospital, which was assigned responsibility for the treatments of severe COVID-19 patients by the Wuhan government. AKI was defined and staged based on Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Mild AKI was defined as stage 1, and severe AKI was defined as stage 2 or stage 3. Logistic regression analysis was used to evaluate AKI risk factors, and Cox proportional hazards model was used to assess the association between AKI and in-hospital mortality. <b><i>Results:</i></b> A total of 119 patients with COVID-19 were included in our study. The median patient age was 70 years (interquartile range, 59–77) and 61.3% were male. Fifty-one (42.8%) patients developed AKI during hospitalization, corresponding to 14.3% in stage 1, 28.6% in stage 2 and 18.5% in stage 3, respectively. Compared to patients without AKI, patients with AKI had a higher proportion of mechanical ventilation mortality and higher in-hospital mortality. A total of 97.1% of patients with severe AKI received mechanical ventilation and in-hospital mortality was up to 79.4%. Severe AKI was independently associated with high in-hospital mortality (OR: 1.82; 95% CI: 1.06–3.13). Logistic regression analysis demonstrated that high serum interleukin-8 (OR: 4.21; 95% CI: 1.23–14.38), interleukin-10 (OR: 3.32; 95% CI: 1.04–10.59) and interleukin-2 receptor (OR: 4.50; 95% CI: 0.73–6.78) were risk factors for severe AKI development. <b><i>Conclusions:</i></b> Severe AKI was associated with high in-hospital mortality, and inflammatory response may play a role in AKI development in critically ill patients with COVID-19.

Infections Are Associated with Higher Risk of Venous Thromboembolism in Hospitalized Children with Nephrotic Syndrome

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3811-3811
Author(s):  
Jennifer Goldman ◽  
Shannon L Carpenter ◽  
Ashley K Sherman ◽  
David Selewski ◽  
Mahmoud Kallash ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Nephrotic Syndrome ◽  
Intensive Care ◽  
Venous Thromboembolism ◽  
Streptococcus Pneumoniae ◽  
Hospitalized Children ◽  
Median Hospital

Abstract Introduction: Although it is known that children with nephrotic syndrome (NS) are at greater risk for certain complications, the frequency of these complications and predisposing risk factors are poorly defined. In particular, nephrotic syndrome has long been considered a hypercoagulable state. Risk for development of venous thromboembolism (VTE) is known to be increased in the setting of an active infection. The objective of this study was to determine the prevalence of infection and VTE among a cohort of hospitalized children with NS, and the association of these complications on outcomes. Methods: Records of hospitalized children with NS admitted to any of 17 participating pediatric hospitals across North America from 2010-2012 were included. Data including demographics, clinical pattern of NS, renal biopsy results, number of hospitalizations, nephrotoxic medication usage, infection and VTE history were recorded. Descriptive statistics were used to determine prevalence of infection and VTE. Wilcoxon rank sum was used to perform comparisons between groups. Logistic regression analysis was utilized to determine predictors of VTE development. Results: Seven-hundred thirty hospitalizations occurred among 370 children. One-hundred forty-eight children (40%) had at least 1 infection with a total of 211 infectious episodes; 11 (3%) had VTE. Those with infection were more likely to have VTE (p = 0.0457). Infections associated with VTE were C. difficile (1 subject), methicillin sensitive S. Aureus (2), Streptococcus pneumoniae (1), and unknown (3). There were no differences between those with and without infection regarding gender or ethnicity. Those with infection were younger at NS diagnosis (3.0 vs. 4.0 years; p = 0.008), and steroid resistant NS was more highly associated with infection than all other clinical diagnoses (steroid-sensitive NS, steroid-dependent NS, other) (p = 0.003). The most common types of infections encountered included peritonitis (23%), pneumonia (22%), and bacteremia (16%). Bacterial pathogens (Streptococcus pneumoniae 41%, Escherichia coli 16%, Clostridium difficile 10%) were most commonly identified. Children with VTE, infection, or both, also required significantly more days in hospital. The median hospital stay for those without infection was 5 days vs. 10 in those with infection (p< 0.0001). Similarly, median hospital days for those without VTE were 6 days as compared to 22 in those with VTE (p < 0.0001). Of those with infection, 13% had an ICU stay compared with 3.3% of those without. Those with VTE also had a median of 4 days in the intensive care unit as compared to 0 days in those without VTE (p < 0.0001). In a logistic regression analysis, only the number of ICU days was predictive of the presence of VTE (OR 1.074, 95% CI 1.013 - 1.138). Conclusions: Children with NS who are hospitalized have high rates of infection. While the rate of VTE was not high in this cohort, presence of VTE was associated with infection. Both infection and VTE were associated with longer hospitalizations and intensive care unit stays. Streptococcus pneumoniae remains the most commonly identified bacterial pathogen in children with nephrotic syndrome, though methicillin sensitive S. Aureus was identified in 2 of 11 patients with VTE. Further studies are needed to identify potentially modifiable risk factors that could minimize these complications in this already high risk population. Disclosures No relevant conflicts of interest to declare.

scholarly journals Risk Factors for Carbapenemase-Producing Enterobacterales Infection or Colonization in a Korean Intensive Care Unit: A Case–Control Study

Antibiotics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 680
Author(s):  
Young Ah Kim ◽  
Se Ju Lee ◽  
Yoon Soo Park ◽  
Yeo Jin Lee ◽  
Jeong Hwa Yeon ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Klebsiella Pneumoniae ◽  
Pulmonary Disease ◽  
Case Control Study ◽  
Significant Risk ◽  
Case Control ◽  
Chronic Pulmonary Disease ◽  
Control Study

The purpose of this study is to identify the factors related to the infection and/or colonization of carbapenemase-producing Enterobacterales (CPE) based on clinical and microbiological data for patients in the intensive care unit (ICU). All patients admitted to medical ICU were screened for CPE on admission and weekly, and this 1:2 case–control study included patients with CPE identified by screening or clinical cultures from 2017 to 2018. The clonal relatedness was evaluated by pulsed-field gel electrophoresis (PFGE). A total of 45 CPE patients were identified with a prevalence of 3.8%. The most frequent organism was Klebsiella pneumoniae (69%) and the carbapenemases belonged to the class A Klebsiella pneumoniae Carbapenemase (KPC-2) (87%), class B New Delhi Metallo-β-lactamase (NDM) (11%), and Imipenemase (IMP-1) (2%) strains. The PFGE profiles showed two large clustered groups of KPC-2-producing K. pneumoniae. In the multivariate analysis, pneumonia/chronic pulmonary disease, previous fluoroquinolone use, and previous use of nasogastric tube were the significant risk factors for CPE infection or colonization in ICU-admitted patients. Critical illness and underlying medical conditions such as pneumonia/chronic pulmonary disease, antimicrobial selective pressure, and the use of a medical device are identified as risk factors for CPE infection or colonization in ICU. Person to person transmission also contributed.

scholarly journals Prediction of 90-Day Mortality among Sepsis Patients Based on a Nomogram Integrating Diverse Clinical Indices

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qingbo Zeng ◽  
Longping He ◽  
Nianqing Zhang ◽  
Qingwei Lin ◽  
Lincui Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Validation Cohort ◽  
International Normalized Ratio ◽  
Curve Analysis ◽  
Individual Risk ◽  
Decision Curve Analysis ◽  
Training Cohort ◽  
Receiver Operating Characteristic Curves ◽  
Individual Risk Factors

Background. Sepsis is prevalent among intensive care units and is a frequent cause of death. Several studies have identified individual risk factors or potential predictors of sepsis-associated mortality, without defining an integrated predictive model. The present work was aimed at defining a nomogram for reliably predicting mortality. Methods. We carried out a retrospective, single-center study based on 231 patients with sepsis who were admitted to our intensive care unit between May 2018 and October 2020. Patients were randomly split into training and validation cohorts. In the training cohort, multivariate logistic regression and a stepwise algorithm were performed to identify risk factors, which were then integrated into a predictive nomogram. Nomogram performance was assessed against the training and validation cohorts based on the area under receiver operating characteristic curves (AUC), calibration plots, and decision curve analysis. Results. Among the 161 patients in the training cohort and 70 patients in the validation cohort, 90-day mortality was 31.6%. Older age and higher values for the international normalized ratio, lactate level, and thrombomodulin level were associated with greater risk of 90-day mortality. The nomogram showed an AUC of 0.810 (95% CI 0.739 to 0.881) in the training cohort and 0.813 (95% CI 0.708 to 0.917) in the validation cohort. The nomogram also performed well based on the calibration curve and decision curve analysis. Conclusion. This nomogram may help identify sepsis patients at elevated risk of 90-day mortality, which may help clinicians allocate resources appropriately to improve patient outcomes.

scholarly journals Clinical Characteristics and Risk Factors for COVID-19-associated Candidemia

2021 ◽  
Author(s):  
Ali S Omrani ◽  
Junais Koleri ◽  
Fatma Ben Abid ◽  
Joanne Daghfel ◽  
Thasneem Odaippurath ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Regression Analysis ◽  
Intensive Care ◽  
Older Patients ◽  
Clinical Characteristics ◽  
Conditional Logistic Regression ◽  
Conditional Logistic Regression Analysis ◽  
Failure Assessment ◽  
Candida Bloodstream Infection

Abstract Patients with COVID-19-associated candidemia (CAC) in an intensive care unit (ICU) were matched 1:2 with those without candidemia, based on ICU admission date and length of stay in ICU being at least equal to that before candidemia in the corresponding case. The incidence rate of CAC was 2.34 per 1,000 ICU days. Eighty cases could be matched to appropriate controls. In the multivariate conditional logistic regression analysis, age (P 0.001), and sequential organ failure assessment score (P 0.046) were the only risk factors independently associated with CAC. Tocilizumab and corticosteroids therapy were not independently associated with candidemia. Lay Summary In COVID-19 patients who need medical care in an intensive care unit, the risk of developing bloodstream Candida infection is higher in older patients and in those who have a more severe critical illness. Treatment with steroids or tocilizumab does not seem to affect the risk of candida bloodstream infection in these patients.

scholarly journals Analysis of Prognostic Risk Factors of Sepsis Patients in Intensive Care Unit Based on Data Analysis

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Lina Yao ◽  
Lei Zhang ◽  
Chengjie Zhou
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Intensive Care ◽  
Data Analysis ◽  
Quantitative Data ◽  
Lactate Clearance ◽  
Single Factor ◽  
Prognostic Risk Factors

In this paper, a data-enabled analysis of the prognostic risk factors of sepsis patients in the intensive care unit is presented. For this purpose, we have selected 220 sepsis patients, preferably those admitted to the intensive care unit for treatment in a tertiary a hospital in Tianjin from June 2018 to June 2019 and received complete data as the research objects, to explore the prognostic risk factors of sepsis patients in the intensive care unit. All patients met the SSC sepsis diagnosis guidelines and recorded the patients’ age, gender, underlying disease, and infection site. Laboratory indicators, such as blood routine, electrolytes, arterial blood gas, liver function, and renal function, were collected within 24 hours of admission. Furthermore, the corresponding specimens were cultured for pathogenic microorganisms according to the site of infection. The LAC value was measured at admission and 24 h after admission, and the 24 h lactate clearance rate was calculated. The Acute Physiological and Chronic Health Status Score II (APACHE-II) and SOFA score were calculated, which were based on the worst value of the index within 24 hours after admission. According to the prognosis of patients during hospitalization, they are divided into two groups: (i) survival group and (ii) death group. We entered all the data into Excel and used SPSS21.0 statistical software for data analysis and processing. Quantitative data are tested for normality. Quantitative data for normal distribution are expressed as mean ± standard deviation, and normal distribution and uniform variance are measured. The factors affecting the prognosis of patients with sepsis were first subjected to a single-factor logistic regression analysis, and a multiple logistic regression analysis was performed on the basis of the significance of the single-factor analysis. The results found that the prognosis of patients with sepsis in the ICU is affected by multiple factors such as underlying diseases, infectious microorganisms, comorbidities, and interventional therapy. APACHE-II score, 24 h lactate clearance rate, ARDS, and DIC are independent risk factors that affect the prognosis of ICU patients.

scholarly journals Pneumothorax in patients with coronavirus disease 2019 pneumonia with invasive mechanical ventilation

2020 ◽  
Author(s):  
Servet Özdemir ◽  
Deniz Özel Bilgi ◽  
Selçuk Köse ◽  
Gülsüm Oya
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Regression Analysis ◽  
Acute Respiratory Distress Syndrome ◽  
Intensive Care ◽  
Distress Syndrome ◽  
Peak Pressure ◽  
Invasive Mechanical Ventilation ◽  
Positive End Expiratory Pressure

Abstract OBJECTIVES Our goal was to evaluate the prevalence of and risk factors for pneumothorax in patients with invasive mechanical ventilation in the intensive care unit (ICU) diagnosed with coronavirus disease 2019 pneumonia. METHODS The prevalence of pneumothorax was retrospectively reviewed in 107 patients diagnosed with coronavirus disease 2019 pneumonia and treated in an ICU in Turkey between 11 March 2020 and 30 April 2020. RESULTS The patients were aged 19–92 years; 37 (34.6%) were women. Pneumothorax developed in 8 (7.5%) of the intubated patients. Four (50%) of the patients with pneumothorax and 68 (68.7%) of those without it died. In the univariable logistic regression analysis of the presence of comorbid diseases (P = 0.91), positive end-expiratory pressure (P = 0.18), compliance (P = 0.93), peak pressure (P = 0.41) and the Horowitz index (P = 0.13) did not show statistically significant effects in increasing the risk of pneumothorax. CONCLUSIONS There was no significant increase or decrease in the risk of pneumothorax in patients treated with invasive mechanical ventilation after the diagnosis of coronavirus disease 2019-related pneumonia/acute respiratory distress syndrome. However, consideration of the risk of pneumothorax in these individuals may have the potential to improve the prognoses in such settings.

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