scholarly journals D-Dimer as Biomarker for Early Prediction of Clinical Outcomes in Patients With Severe Invasive Infections Due to Streptococcus Pneumoniae and Neisseria Meningitidis

2021 ◽  
Vol 8 ◽  
Author(s):  
Simone Meini ◽  
Emanuela Sozio ◽  
Giacomo Bertolino ◽  
Francesco Sbrana ◽  
Andrea Ripoli ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Streptococcus Pneumoniae ◽  
Hospital Mortality ◽  
Neisseria Meningitidis ◽  
Clinical Outcomes ◽  
Logistic Regression Analysis ◽  
Mortality Risk ◽  
Invasive Infections ◽  
D Dimer

Sepsis is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection; no current clinical measure adequately reflects the concept of dysregulated response. Coagulation plays a pivotal role in the normal response to pathogens (immunothrombosis), thus the evolution toward sepsis-induced coagulopathy could be individuate through coagulation/fibrinolysis-related biomarkers. We focused on the role of D-dimer assessed within 24 h after admission in predicting clinical outcomes in a cohort of 270 patients hospitalized in a 79 months period for meningitis and/or bloodstream infections due to Streptococcus pneumoniae (n = 162) or Neisseria meningitidis (n = 108). Comparisons were performed with unpaired t-test, Mann-Whitney-test or chi-squared-test with continuity correction, as appropriate, and multivariable logistic regression analysis was performed with Bayesian model averaging. In-hospital mortality was 14.8% for the overall population, significantly higher in S. pneumoniae than in N. meningitidis patients: 19.1 vs. 8.3%, respectively (p = 0.014). At univariable logistic regression analysis the following variables were significantly associated with in-hospital mortality: pneumococcal etiology, female sex, age, ICU admission, SOFA score, septic shock, MODS, and D-dimer levels. At multivariable analysis D-dimer showed an effect only in N. meningitidis subgroup: as 500 ng/mL of D-dimer increased, the probability of unfavorable outcome increased on average by 4%. Median D-dimer was significantly higher in N. meningitidis than in S. pneumoniae patients (1,314 vs. 1,055 ng/mL, p = 0.009). For N. meningitidis in-hospital mortality was 0% for D-dimer <500 ng/mL, very low (3.5%) for D-dimer <7,000 ng/mL, and increased to 26.1% for D-dimer >7,000 ng/mL. Kaplan-Meier analysis of in-hospital mortality showed for N. meningitidis infections a statistically significant difference for D-dimer >7,000 ng/mL compared to values <500 ng/mL (p = 0.021) and 500–3,000 ng/mL (p = 0.002). For S. pneumoniae the mortality risk resulted always high, over 10%, irrespective by D-dimer values. In conclusion, D-dimer is rapid to be obtained, at low cost and available everywhere, and can help stratify the risk of in-hospital mortality and complications in patients with invasive infections due to N. meningitidis: D-dimer <500 ng/mL excludes any further complications, and a cut-off of 7,000 ng/mL seems able to predict a significantly increased mortality risk from much <10% to over 25%.

scholarly journals Relative platelet reductions provide better pathophysiologic signatures of coagulopathies in sepsis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daisuke Kasugai ◽  
Masayuki Ozaki ◽  
Kazuki Nishida ◽  
Yukari Goto ◽  
Kunihiko Takahashi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Mortality Risk ◽  
The United States ◽  
Research Database ◽  
Mixed Effect ◽  
Platelet Counts ◽  
The Impact

AbstractIn sepsis-associated coagulopathies and disseminated intravascular coagulation, relative platelet reductions may reflect coagulopathy severity. However, limited evidence supports their clinical significance and most sepsis-associated coagulopathy criteria focus on the absolute platelet counts. To estimate the impact of relative platelet reductions and absolute platelet counts on sepsis outcomes. A multicenter retrospective observational study was performed using the eICU Collaborative Research Database, comprising 335 intensive care units (ICUs) in the United States. Patients with sepsis and an ICU stay > 2 days were included. Estimated effects of relative platelet reductions and absolute platelet counts on mortality and coagulopathy-related complications were evaluated. Overall, 26,176 patients were included. Multivariate mixed-effect logistic regression analysis revealed marked in-hospital mortality risk with larger platelet reductions between days one and two, independent from the resultant absolute platelet counts. The adjusted odds ratio (OR) [95% confidence intervals (CI)] for in-hospital mortality was 1.28[1.23–1.32], 1.86[1.75–1.97], 2.99[2.66–3.36], and 6.05[4.40–8.31] for 20–40%, 40–60%, 60–80%, and > 80% reductions, respectively, when compared with a < 20% decrease in platelets (P < 0.001 for each). In the multivariate logistic regression analysis, platelet reductions ≥ 11% and platelet counts ≤ 100,000/μL on day 2 were associated with high coagulopathy-related complications (OR [95%CI], 2.03 and 1.18; P < 0.001 and P < 0.001), while only platelet reduction was associated with thromboembolic complications (OR [95%CI], 1.43 [1.03–1.98], P < 0.001). The magnitude of platelet reductions represent mortality risk and provides a better signature of coagulopathies in sepsis; therefore, it is a plausible criterion for sepsis-associated coagulopathies.

scholarly journals Relative platelet reduction provides a better pathophysiologic signature of coagulopathy in sepsis than absolute platelet count: A large multicenter eICU database analysis

2020 ◽  
Author(s):  
Daisuke Kasugai ◽  
Masayuki Ozaki ◽  
Kazuki Nishida ◽  
Yukari Goto ◽  
Kunihiko Takahashi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Platelet Count ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Mortality Risk ◽  
The United States ◽  
Research Database ◽  
The Absolute ◽  
The Impact

Abstract BackgroundIn sepsis-associated coagulopathy and disseminated intravascular coagulation, the relative platelet reduction may reflect the severity of the coagulopathy. However, there is little evidence to support its clinical significance and most of the coagulopathy criteria in sepsis focus on absolute platelet count. The aim of this study was to estimate the impact of the relative platelet reduction and the absolute platelet count on outcomes in sepsis.MethodsMulticenter retrospective observational study was performed using the eICU Collaborative Research Database, which includes 335 intensive care units (ICUs) in the United States. Patients with sepsis and with an ICU stay of longer than 2 days were included. The estimated effect of the relative platelet reduction and the absolute platelet count on mortality and coagulopathy-related complications were evaluated.ResultsOf 30,114 septic patients, 26,193 were included in this study. Multivariable mixed-effect logistic regression analysis revealed marked in-hospital mortality risk with more profound degrees of relative reduction in platelet count between day 1 and day 2, which is independent from the resultant absolute platelet count. Adjusted odds ratio (OR) for in-hospital mortality was 1.28 (95% confidence interval [CI], 1.23-1.32); 1.86 (95% CI, 1.75-1.97); 2.99 (95% CI, 2.66-3.36); and 6.05 (95% CI, 4.40 - 8.31) for 20-40%, 40-60%, 60-80%, and more than 80%, respectively, compared to less than 20% decrease in platelet. Interaction for mortality odds between relative platelet reduction and resultant absolute platelet count was not found (p=0.33). In multivariate logistic regression analysis, the estimated effects of platelet reduction ≧50% for coagulopathy-related complications were greater than that of platelet counts ≦100,000/μL on day 2 (OR for composite outcome [95%CI], 2.03 [1.68 - 2.45] and 1.18 [1.07 - 1.30], respectively).ConclusionThe magnitude of platelet reduction not only represents mortality risk but also provides a better signature of coagulopathy in sepsis than absolute platelet count, and may, therefore, be more plausible for the criteria of coagulopathy in sepsis.

scholarly journals Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ming Li ◽  
Suochun Xu ◽  
Yang Yan ◽  
Haichen Wang ◽  
Jianjie Zheng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Type A ◽  
Multivariable Logistic Regression Analysis ◽  
Hospital Deaths ◽  
Independent Risk Factors ◽  
D Dimer

AbstractThe aim of this study was to analyze the role of blood biomarkers regarding preoperative inflammation and coagulation in predicting the postoperative in-hospital mortality of patients with type A acute aortic dissection (AAD). A total of 206 patients with type A AAD who had received surgical treatment were enrolled in this study. Patients were divided into two groups: the death group (28 patients who died during hospitalization) and the survival group (178 patients). Peripheral blood samples were collected before anesthesia induction. Preoperative levels of D-dimer, fibrinogen (FIB), platelet (PLT), white blood cells (WBC) and neutrophil (NEU) were compared between the two groups. Univariable and multivariable logistic regression analysis were utilized to identify the independent risk factors for postoperative in-hospital deaths of patients with type A AAD. Receiver operating characteristic (ROC) curve were used to analyze the predictive value of these indices in the postoperative in-hospital mortality of the patients. Univariable logistic regression analysis showed that the P values of the five parameters including D-dimer, FIB, PLT, WBC and NEU were all less than 0.1, which may be risk factors for postoperative in-hospital deaths of patients with type A AAD. Further multivariable logistic regression analysis indicated that higher preoperative D-dimer and WBC levels were independent risk factors for postoperative in-hospital mortality of patients with type A AAD. ROC curve analysis indicated that application of combining FIB and PLT could improve accuracy in prediction of postoperative in-hospital mortality in patients with type A AAD. Both preoperative D-dimer and WBC in patients with type A AAD may be used as independent risk factors for the postoperative in-hospital mortality of such patients. The combination of FIB and PLT may improve the accuracy of clinical prognostic assessment.

scholarly journals Prognostic value of the neutrophil-to-lymphocyte ratio in acute organophosphorus pesticide poisoning

2021 ◽  
Vol 16 (1) ◽  
pp. 703-710
Author(s):  
Yuhang Mu ◽  
Boqi Hu ◽  
Nan Gao ◽  
Li Pang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Organophosphorus Pesticide ◽  
Neutrophil To Lymphocyte Ratio ◽  
Pesticide Poisoning ◽  
Lymphocyte Ratio

Abstract This study investigates the ability of blood neutrophil-to-lymphocyte ratio (NLR) to predict acute organophosphorus pesticide poisoning (AOPP). Clinical data of 385 patients with AOPP were obtained within 24 h of admission, and NLR values were calculated based on neutrophil and lymphocyte counts. The patients were divided into two groups – good and poor – based on prognosis. Poor prognosis included in-hospital death and severe poisoning. The factors affecting prognosis were analyzed by logistic regression analysis, and the prognostic value of NLR was evaluated using the area under the receiver operating characteristic curve (AUC). Univariate logistic regression analysis showed that NLR levels, serum cholinesterase, and creatinine levels were good predictors of AOPP. Multivariate logistic regression analysis showed that high NLR was an independent risk factor for severe poisoning (adjusted odds ratio [AOR], 1.13; 95% CI, 1.10–1.17; p < 0.05) and in-hospital mortality (AOR, 1.07; 95% CI, 1.03–1.11; p < 0.05). NLR values >13 and >17 had a moderate ability to predict severe poisoning and in-hospital mortality, respectively (AUC of 0.782 [95% CI, 0.74–0.824] and 0.714 [95% CI, 0.626–0.803], respectively). Our results show that high NLR at admission is an independent indicator of poor prognosis in AOPP and can be used to optimize treatment and manage patients.

Abstract 1847: Prognostic Impact Of Previous Percutaneous Coronary Interventions On Coronary Artery Bypass Graft Surgery: A Multicentric Analysis FromThe German Federal State North-Rhine-Westphalia

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Parwis Massoudy ◽  
Matthias Thielmann ◽  
Nils Lehmann ◽  
Anja Marr ◽  
Georg Kleikamp ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Coronary Artery ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Artery Bypass ◽  
Federal State ◽  
Multivariable Logistic Regression Analysis ◽  
Percutaneous Coronary ◽  
German Federal State

Background: We have previously shown that multiple prior percutaneous coronary intervention (PCI) procedures adversely affect outcome after subsequent coronary artery bypass grafting (CABG). We were now interested to investigate this effect on a multicentric basis. Methods: Eight cardiac surgical centers from the German Federal State of North-Rhine-Westphalia provided outcome data of 37140 consecutive patients having undergone isolated first-time CABG between 01/2000 and 12/2005. Twenty-two patient characteristics and outcome variables, which are part of a collection of data claimed by the national medical quality-control commission, were retrieved from the individual databases. Three groups of patients were analyzed for overall in-hospital mortality and major adverse cardiac events (MACE): Patients without a previous PCI procedure, patients with 1 previous PCI procedure and patients with ≥2 previous PCI procedures before surgery. Unadjusted univariable and risk-adjusted multivariable logistic regression analysis were applied. Computed propensity-score matching was performed based on 15 patient major risk factors to correct for and minimize selection bias. Results: A total of 10.3% of patients had 1 previous PCI procedure, and 3.7% of patients had ≥2 previous PCI procedures. Risk-adjusted multivariable logistic regression analysis of ≥2 previous PCI significantly correlated with in-hospital mortality (odds ratio [OR], 2.0; confidence interval [CI], 1.4–3.0; P <0.0005) and MACE (OR, 1.5; CI, 1.2–1.9; P <0.0013). After propensity score matching, conditional logistic regression analysis confirmed the results of adjusted analysis. A history of ≥2 previous PCI procedures was significantly associated with in-hospital mortality (OR, 1.9; CI, 1.3–2.7; P =0.0016) and MACE (OR, 1.5; CI, 1.2–1.9; P =0.0019). Conclusions: This large multicentric trial supports earlier results of our single-center analysis, multiple previous PCI procedures significantly increased the event of in-hospital mortality and MACE after subsequent CABG.

scholarly journals Real-world clopidogrel utilization in acute coronary syndromes: patients selection and outcomes in a single-center experience

2017 ◽  
Vol 11 (12) ◽  
pp. 323-331 ◽  
Author(s):  
Diego Castini ◽  
Simone Persampieri ◽  
Sara Cazzaniga ◽  
Giulia Ferrante ◽  
Marco Centola ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Adverse Events ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Left Ventricular ◽  
Hospital Death ◽  
Multivariable Logistic Regression Analysis ◽  
Killip Class ◽  
Female Sex

Background: With this study, we sought to identify patient characteristics associated with clopidogrel prescription and its relationship with in-hospital adverse events in an unselected cohort of ACSs patients. Materials and Methods: We studied all consecutive patients admitted at our institution for ACSs from 2012 to 2014. Patients were divided into two groups based on clopidogrel or novel P2Y12 inhibitors (prasugrel or ticagrelor) prescription and the relationship between clopidogrel use and patient clinical characteristics and in-hospital adverse events was evaluated using logistic regression analysis. Results: The population median age was 68 years (57–77 year) and clopidogrel was prescribed in 230 patients (46%). Patients characteristics associated with clopidogrel prescription were older age, female sex, non-ST-elevation ACS diagnosis, the presence of diabetes mellitus and anemia, worse renal and left ventricular functions and a higher Killip class. Patients on clopidogrel demonstrated a significantly higher incidence of in-hospital mortality (4.8%) than prasugrel and ticagrelor-treated patients (0.4%), while a nonstatistically significant trend emerged considering bleeding events. However, on multivariable logistic regression analysis female sex, the presence of anemia and Killip class were the only variables independently associated with in-hospital death. Conclusion: Patients treated with clopidogrel showed a higher in-hospital mortality. However, clinical variables associated with its use identify a population at high risk for adverse events and this seems to play a major role for the higher in-hospital mortality observed in clopidogrel-treated patients.

scholarly journals 146. Infective Endocarditis in South Korea: a 12-year Single-Center Experience of 419 Patients

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S100-S101
Author(s):  
Jung Ho Kim ◽  
Hi Jae Lee ◽  
Woon Ji Lee ◽  
Hye Seong ◽  
Jin young Ahn ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Infective Endocarditis ◽  
Mortality Rate ◽  
South Korea ◽  
Hospital Mortality ◽  
Incidence Rate ◽  
Logistic Regression Analysis

Abstract Background Infective endocarditis (IE) is a potentially lethal disease that has undergone constant changes in epidemiology and pathogen. Treatment of IE has become more complex with today’s myriad healthcare-associated factors as well as regional differences in causative organisms. Therefore, it is necessary to investigate the overall trends, microbiological features, clinical characteristics and outcomes of IE in South Korea. Methods We performed a retrospective cohort study of patients with the diagnosis of probable or definite IE according to the modified Duke Criteria admitted to a tertiary care center in South Korea between November 2005 and August 2017. Poisson log-linear regression was used to estimate time trends of IE incidence rate and mortality rate. Risk factors for in-hospital mortality were evaluated by multivariate logistic regression analysis including an interaction term. Results There were 419 IE patients (275 male vs. 144 female) during the study period. The median age of the patients was 56 years. The annual incidence rate of IE of our institution was significantly increased. (RR 1.05; 95% CI, 1.02–1.08; P = 0.006) The mortality rate showed trends toward down, but not statistically significant (P = 0.875). IE was related to a prosthetic valve in 15.0% and 21.7% patients developed IE during hospitalization. The mitral valve was the most commonly affected valve (61.3%). Causative microorganisms were identified in 309 patients (73.7%) and included streptococci (34.6%), followed by Staphylococcus aureus (15.8%) and enterococci (7.9%). The in-hospital mortality rate was 14.6%. Logistic regression analysis found aortic valve endocarditis (OR 3.18; P = 0.001), IE caused by staphylococcus aureus (OR 2.32; P = 0.026), a presence of central nervous system embolic complication (OR 1.98; P = 0.031), a high SOFA score (OR 1.22; P = 0.023) and a high Charlson’s comorbidity index (OR 1.11; P = 0.019) as predictors of in-hospital mortality. On the other hand, surgical intervention for IE was found to be a protective factor against mortality. (OR 0.25, P < 0.001) Conclusion Although IE has been increasing, the mortality rate has not yet reduced significantly. Studies on causative organisms of IE and risk factors for mortality are warranted in improving prognosis. Disclosures All authors: No reported disclosures.

The Impact of Discrepancy between Measured versus Stated Weight on Hemorrhagic Transformation and Clinical Outcomes after Intravenous Alteplase Thrombolysis

2017 ◽  
Vol 44 (5-6) ◽  
pp. 241-247 ◽  
Author(s):  
Dong Hoon Shin ◽  
Min-Ju Kang ◽  
Jin Wook Kim ◽  
Dong-Jin Shin ◽  
Hyeon-Mi Park ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Clinical Outcomes ◽  
Logistic Regression Analysis ◽  
Hemorrhagic Transformation ◽  
Multivariable Logistic Regression Analysis ◽  
Laboratory Findings ◽  
Actual Weight ◽  
Measured Weight ◽  
Intravenous Alteplase

Background: An accurate measurement of patient weight is important in determining the dosage for intravenous alteplase thrombolysis. In most emergency rooms, however, weight is not measured. We investigated the difference between stated and measured weight and its effect on hemorrhagic transformation and clinical outcomes. Methods: We enrolled 128 consecutive patients who had hyperacute stroke and were treated by alteplase. Alteplase dose was calculated using the weight provided by patient or guardian/caregiver, and the actual weight was measured after administration. Patients were classified into 2 groups: overused group (stated weight >measured weight) and underused group (measured weight ≥stated weight). The prevalence of hemorrhagic transformation on follow-up, determined by gradient-recalled echo MRI or non-enhanced CT, was compared between the 2 groups. The predictors for hemorrhage with progression, defined as an increase in the National Institutes of Health Stroke Scale (NIHSS) by a value of 4 or more accompanied by hemorrhage, were determined using multivariable logistic regression analysis and included the overused or underused alteplase and baseline clinical and laboratory findings. Results: Sixty-six (51.6%) of 128 patients were in the underused group and 62 patients (48.4%) in the overused group. The median difference between the stated and measured weights was 1.5 (interquartile range 0.56-3.81) kg, with the largest difference being 25.6 kg. Although there were no significant difference in baseline clinical and laboratory findings between the 2 groups, the overused group showed a significantly higher prevalence of hemorrhagic transformation (p = 0.012) and hemorrhage with progression (p = 0.025). The multivariable logistic regression analysis demonstrated that overused alteplase (OR 7.26; 95% CI 1.24-42.45; p = 0.028), baseline glucose (>144 mg/dL; OR 5.03; 95% CI 1.00-25.26; p = 0.050), and initial NIHSS (OR 1.13 per 1-point NIHSS increase; 95% CI 1.00-1.27; p = 0.047) in model 1 that use alteplase overdose as a categorical variable and overused alteplase (OR 1.67 1-mg increase; 95% CI 1.05-2.66; p = 0.027) in model 2 that use an overused alteplase dose as numerical variable were significant predictors for hemorrhage with progression. Conclusion: More alteplase usage than actual weight led to higher hemorrhagic transformation. As one of the predictors for clinical deterioration, it is important to administrate alteplase based on an accurately measured weight.

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