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 Association of Biomarkers Related to Preoperative Inflammatory and Coagulation with Postoperative In-Hospital Deaths in Patients with Type A Acute Aortic Dissection

2021 ◽  
Author(s):  
Ming Li ◽  
Haifeng Sun ◽  
Suochun Xu ◽  
Yang Yan ◽  
Haichen Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Multivariate Logistic Regression Analysis ◽  
Type A ◽  
Hospital Deaths ◽  
Independent Risk Factors ◽  
D Dimer

Abstract Background: The aim of this study was to analyze the predictive value of biomarkers related to preoperative inflammatory and coagulation in the prognosis of patients with type A acute aortic dissection (AAD). Methods: A total of 206 patients with type A AAD who had received surgical treatment were enrolled. Patients were divided into two groups according to whether they died during hospitalization. Peripheral blood samples were collected before anesthesia induction. Preoperative levels of D-dimer, fibrinogen (FIB), platelet (PLT), white blood cells (WBC) and neutrophil (NEU) between the two groups were compared. Univariate and multivariate 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 D-dimer, FIB, PLT, WBC, NEU and CRP in the prognosis of the patients. Results: Univariate 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 multivariate logistic regression analysis indicated that higher preoperative D-dimer and WBC levels were independent risk factors for in-hospital deaths of patients with type A AAD. ROC curve analysis indicated that FIB+PLT combination is provided with the highest predictive value for in-hospital deaths.Conclusion: Both preoperative D-dimer and WBC in patients with type A AAD may be used as independent risk factors for the prognosis of such patients. Combined use of FIB and PLT may improve the accuracy and accessibility of clinical prognostic assessment.

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.

Risk Factors for Silent Cerebral Infarcts in a Pediatric Sickle Cell Anemia (SCA) Cohort

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 2487-2487 ◽  
Author(s):  
Francoise Bernaudin ◽  
Suzanne Verlhac ◽  
Annie Kamdem ◽  
Cécile Arnaud ◽  
Lena Coïc ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Logistic Regression Analysis ◽  
G6pd Deficiency ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
History Of ◽  
Independent Risk Factors

Abstract Background Silent infarcts are associated with impaired cognitive functioning and have been shown to be predictors of stroke (Miller ST J Pediatr 2001). Until now, reported risk factors for silent infarcts were low pain event rate, history of seizures, high leukocyte count and Sen bS haplotype (Kinney TR Pediatrics 1999). Here, we seek to define the prevalence and risk factors of silent infarcts in the Créteil SCA pediatric cohort comprising patients assessed at least yearly by transcranial doppler (TCD) since 1992, and by MRI/MRA. Methods This study retrospectively analyzed data from the Créteil cohort stroke-free SS/Sb0 children (280; 134 F, 146 M), according to institutional review board. Time-averaged mean of maximum velocities higher than 200 cm/sec were considered as abnormal, resulting in initiation of a transfusion program (TP). A switch to hydroxyurea was proposed to patients with normalized velocities (&lt; 170 cm/sec) and normal MRA on TP, although TP was re-initiated in case of abnormal velocities recurrence. Patients with “conditional” velocities (170–199 cm/sec) were assessed by TCD 4 times yearly. Alpha genes and beta-globin haplotypes were determined. Baseline biological parameters (G6PD activity; WBC, PMN, Reticulocytes, Platelets counts; Hemoglobin, Hematocrit, HbF, LDH levels; MCV; SpO2) were obtained a minimum of 3 months away from a transfusion, one month from a painful episode, after 12 months of age, before the first TCD, and always before therapy intensification. Results. Patients were followed for a total of 2139 patient-years. Alpha-Thal was present in 114/254 patients (45%) and 27/241 (11.2%) had G6PD deficiency. Beta genotype, available in 240 patients, was BaBa in 102 (42.5%), BeBe in 54 (22.5%), SeSe in 19 (7.9%) and “other” in 65 (27.1%); TCD was abnormal in 52 of 280 patients (18.6%). MRA showed stenoses in 30 of 226 evaluated patients (13.3%) while MRI demonstrated presence of silent infarcts in 81/280 patients (28.9%). Abnormal TCD (p&lt;0.001), G6PD deficiency (p=0.008), high LDH (p=0.03), and low Hb (p=0.026) were significant risk factors for stenoses by univariate analysis while multivariate analysis retained only abnormal TCD as a significant risk factor for stenoses ([OR= 10.6, 95% CI (4.6–24.4)]; p&lt;0.001). Univariate logistic regression analysis showed that the risk of silent infarcts was not related to alpha-Thal, beta genotype, abnormal TCD, WBC, PMN, platelets, reticulocyte counts, MCV, LDH level, HbF %, pain or ACS rates but was significantly associated with stenoses detected by MRA (p&lt;0.001), gender (male; p=0.04), G6PD deficiency (p=0.05), low Hb (p=0.016) and Hct (p=0.012). Multivariate logistic regression analysis showed that gender ([OR= 2.1, 95% CI (1.03–4.27)]; p=0.042), low Hb ([OR= 1.4, 95% CI (1.0–1.1)]; p=0.05) and stenoses ([OR= 4.8, 95% CI (1.88–12.28)]; p=0.001) were all significant independent risk factors for silent infarcts. The presence of stenoses was the only significant risk factor for silent infarcts in patients with a history of abnormal TCD ([OR= 5.9, 95% CI (1.6–21.7)]; p=0.008). Conclusion We recently showed that G6PD deficiency, absence of alpha-Thal, and hemolysis are independent significant risk factors for abnormal TCD in stroke-free SCA patients (Bernaudin et al, Blood, 2008, in press). Here, we report that an abnormal TCD is the most significant risk factor for stenoses and, expanding previous studies, we demonstrate that stenoses, low Hb and gender are significant independent risk factors for silent infarcts.

scholarly journals Diabetes and Younger Age Are Vital and Independent Risk Factors for Acute Pancreatitis in Patients with Severe Hypertriglyceridemia

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Qiang Li ◽  
Chaoqun Hou ◽  
Yunpeng Peng ◽  
Xiaole Zhu ◽  
Chenyuan Shi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Pancreatitis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Severe Hypertriglyceridemia ◽  
Younger Age ◽  
History Of ◽  
Independent Risk Factors

Background. The incidence of hypertriglyceridemia-induced acute pancreatitis (HIAP) is increasing worldwide, and now it is the third leading cause of acute pancreatitis in the United States. But, there are only 5% of patients with severe hypertriglyceridemia (>1000 mg/dl) which might generate acute pancreatitis. In order to explore which part of the patients is easy to develop into pancreatitis, a case-control study was performed by us to consider which patient population tend to develop acute pancreatitis in patients with severe hypertriglyceridemia. To perform a retrospective case-control study, we identified severe hypertriglyceridemia patients without AP (HNAP) and with HIAP with a fasting triglyceride level of >1000 mg/dl from The First Affiliated Hospital of Nanjing Medical University during January 1, 2014, to December 31, 2016. Baseline patient characteristics, comorbidities, and risk factors were recorded and evaluated by the univariate and multivariate logistic regression analysis for HIAP and HNAP patients. A total of 124 patients with severe hypertriglyceridemia were included in this study; of which, 62 patients were in the HIAP group and 62 were in the HNAP group. Univariate logistic regression analysis showed that there was no gender difference in both groups; however, there were more younger patients in the HIAP group than in the HNAP group (P value < 0.001), and the HIAP group had low level of high-density lipoprotein compared to the HNAP group (P<0.05). Meanwhile, the presence of pancreatitis was associated with higher level of glycemia and a history of diabetes (P<0.05). Multivariate logistic regression analysis indicated that a history of diabetes and younger age were independent risk factors for acute pancreatitis in patients with severe hypertriglyceridemia. Uncontrolled diabetes and younger age are potential risk factors in patients with severe hypertriglyceridemia to develop acute pancreatitis.

Outcomes of cancer patients with takotsubo cardiomyopathy.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18101-e18101
Author(s):  
Achuta Kumar Guddati ◽  
Gagan Kumar ◽  
Iuliana Shapira ◽  
Parijat Saurav Joy
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cancer Patients ◽  
Logistic Regression Analysis ◽  
Takotsubo Cardiomyopathy ◽  
Primary Diagnosis ◽  
Multivariable Logistic Regression Analysis ◽  
Solid Organ ◽  
Multivariable Logistic Regression

e18101 Background: Chemotherapy induced cardiomyopathy is an important complication of some chemotherapeutic agents. The stress of a cancer diagnosis and ongoing chemotherapy may contribute to cardiac morbidity in these patients. The burden of Takotsubo Cardiomyopathy (TCP) in cancer patients is unknown. The incidence of TCP and related outcomes in cancer patients was investigated in this study. Methods: The 2007-2013 National Inpatient Sample (NIS) was analyzed for patients with a prior and new diagnosis of TCP with and without malignancy. Risk factors for mortality were adjusted for associated conditions by multivariable logistic regression analysis. Results: From 2007 through 2013, an estimated 122,750 adults were admitted with a diagnosis of TCP. In 2013, the incidence of admissions in US of patients with coexisting TCP and malignancy was 1.13%. Admissions in 34,957 patients were for a primary diagnosis of TCP with 91.7% females; overall, 665 (2.1%) had solid organ cancer, 237 (0.74%) had hematological malignancy and 354 (1.11%) had metastatic cancer. Patients admitted for TCP with coexisting malignancy had a significantly higher mortality (13.8% vs. 2.9%, p < 0.0001), length of stay (7 vs. 4 days, p < 0.0001) and total charges ($29291 vs. $ 36231, p < 0.0001), compared to those with no malignancy. In patients with a primary diagnosis of TCP and without any underlying malignancy, males had a higher mortality (4.02% vs. 1.03%, p < 0.0001) whereas there was no gender difference in mortality in those with coexisting malignancy (6.25% vs 6.45%, p = 0.965). On multivariable logistic regression analysis, risk factors associated with mortality were solid cancer (OR 3.43, p = 0.008), stroke (OR 18.33, p < 0.0001), venous thromboembolic disease (OR 4.52, p = 0.004), malnutrition (OR 2.41, p = 0.006) and heart failure (OR 1.918, p = 0.004). Conclusions: Outcomes are significantly worse in patients with TCP and solid malignancy. Hence, this patient population must be regarded as high-risk and early diagnostic consideration for TCP is warranted. Early intervention may help lower mortality, decrease resource utilization and reduce the health care costs in these patients.

Increased pretreatment C-reactive protein-to-albumin ratio predicts severe coronavirus disease 2019

2020 ◽  
Author(s):  
Xiaoyue Wang ◽  
Yan Xu ◽  
Huang Huang ◽  
Desheng Jiang ◽  
Chunlei Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Early Warning ◽  
Warning Signs ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Independent Risk Factors

Abstract Objective The aim of this study was to identify early warning signs for severe coronavirus disease 2019 (COVID-19). Methods We retrospectively analysed the clinical data of 90 patients with COVID-19 from Guanggu District of Hubei Women and Children Medical and Healthcare Center, comprising 60 mild cases and 30 severe cases. The demographic data, underlying diseases, clinical manifestations and laboratory blood test results were compared between the two groups. The cutoff values were determined by receiver operating characteristic curve analysis. Logistic regression analysis was performed to identify the independent risk factors for severe COVID-19. Results The patients with mild and severe COVID-19 had significant differences in terms of cancer incidence, age, pretreatment neutrophil-to-lymphocyte ratio (NLR), and pretreatment C-reactive protein-to-albumin ratio (CAR) ( P =0.000; P =0.008; P=0.000; P =0.000). The severity of COVID-19 was positively correlated with comorbid cancer, age, NLR, and CAR ( P <0.005). Multivariate logistic regression analysis showed that age, the NLR and the CAR were independent risk factors for severe COVID-19 (OR=1.086, P =0.008; OR=1.512, P =0.007; OR=17.652, P =0.001). Conclusion An increased CAR can serve as an early warning sign of severe COVID-19 in conjunction with the NLR and age.

scholarly journals P05.69 Independent risk factors for pre- and postoperative seizures in meningioma patients identified by logistic regression analysis

2018 ◽  
Vol 20 (suppl_3) ◽  
pp. iii319-iii319
Author(s):  
L Goertz ◽  
C Hamisch ◽  
N Erdner ◽  
H Muders ◽  
R Goldbrunner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Independent Risk Factors

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 &lt;500 ng/mL, very low (3.5%) for D-dimer &lt;7,000 ng/mL, and increased to 26.1% for D-dimer &gt;7,000 ng/mL. Kaplan-Meier analysis of in-hospital mortality showed for N. meningitidis infections a statistically significant difference for D-dimer &gt;7,000 ng/mL compared to values &lt;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 &lt;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 &lt;10% to over 25%.

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