Infection type and short-term mortality in patients with infection-associated disseminated intravascular coagulation: a cohort study

Severe infection is the most frequent disease underlying disseminated intravascular coagulation (DIC). To improve understanding of the clinical course, we examined the association between infection type and short-term mortality in patients with infection-associated DIC. Patients with infection-associated DIC registered in the Danish Disseminated Intravascular Coagulation (DANDIC) cohort were categorised by infection type: pulmonary, intra-abdominal, urogenital, others, multiple infection sites and unknown foci. The Kaplan-Meier method was used to create survival curves and compute 30-day and 90-day mortality; logistic regression was used to compute odds ratios, as a measure of relative risk, with corresponding 95% confidence intervals. Regression models were adjusted for age, sex, comorbidities and surgery within one week before DIC diagnosis. Pulmonary infection, the most frequent infection type, was used as the reference group. In total, 1,853 patients had infection-associated DIC. The most common types of infection were pulmonary (35.1%), intra-abdominal (25.6%) and urogenital (12.6%). Thirty-day mortality ranged from 19.7% in patients with urogenital infections to 55.1% in patients with unknown foci. The 30-day mortality odds ratio with respect to pulmonary infection was 0.22 (95% CI, 0.15–0.32) for urogenital infection, 0.57 (95% CI, 0.39–0.82) for other infection types, 0.60 (95% CI, 0.36–1.00) for multiple infection sites, 0.73 (95% CI, 0.56–0.97) for intra-abdominal infections and 1.41 (95% CI, 1.02–1.95) for unknown foci. Infection-associated DIC had a high short-term mortality, which varied among infection types, thus suggesting that infection type is an important predictor of the clinical course of DIC.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28259194
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Infection type and short-term mortality in patients with infection-associated disseminated intravascular coagulation: a cohort study

Figshare
Sepsis Diagnosis and Treatment
article

Infection type and short-term mortality in patients with infection-associated disseminated intravascular coagulation: a cohort study

article en

Abstract

Severe infection is the most frequent disease underlying disseminated intravascular coagulation (DIC). To improve understanding of the clinical course, we examined the association between infection type and short-term mortality in patients with infection-associated DIC. Patients with infection-associated DIC registered in the Danish Disseminated Intravascular Coagulation (DANDIC) cohort were categorised by infection type: pulmonary, intra-abdominal, urogenital, others, multiple infection sites and unknown foci. The Kaplan-Meier method was used to create survival curves and compute 30-day and 90-day mortality; logistic regression was used to compute odds ratios, as a measure of relative risk, with corresponding 95% confidence intervals. Regression models were adjusted for age, sex, comorbidities and surgery within one week before DIC diagnosis. Pulmonary infection, the most frequent infection type, was used as the reference group. In total, 1,853 patients had infection-associated DIC. The most common types of infection were pulmonary (35.1%), intra-abdominal (25.6%) and urogenital (12.6%). Thirty-day mortality ranged from 19.7% in patients with urogenital infections to 55.1% in patients with unknown foci. The 30-day mortality odds ratio with respect to pulmonary infection was 0.22 (95% CI, 0.15–0.32) for urogenital infection, 0.57 (95% CI, 0.39–0.82) for other infection types, 0.60 (95% CI, 0.36–1.00) for multiple infection sites, 0.73 (95% CI, 0.56–0.97) for intra-abdominal infections and 1.41 (95% CI, 1.02–1.95) for unknown foci. Infection-associated DIC had a high short-term mortality, which varied among infection types, thus suggesting that infection type is an important predictor of the clinical course of DIC.

Figshare
Good health and well-being
Openalex Percentile: Top 41%
Sepsis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.