Disseminated Intravascular Coagulation (DIC) Score and Organ Dysfunction in Septic Shock Patients

NCT ID: NCT06363149

Last Updated: 2025-05-16

Basic Information

• Recruitment Status: RECRUITING
• Total Enrollment: 60 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-04-12
• Study Completion Date: 2025-09-30

Brief Summary

Septic shock is common complication in patients with critical illnesses, with higher incidence in low and medium income countries like ours. Disseminated intravascular coagulation (DIC) is also common in patients presenting to intensive care units. Further DIC is common coexisting condition seen in many patients presenting with sepsis and septic shock.

Both DIC and septic shock individually are associated with very high mortality and morbidity and coexistence of both increase risk manifold. Organ dysfunction is a complication of both septic shock and DIC individually and in presence of coexistence risk further multiply. DIC scoring of every patient at risk as in patients presenting with septic shock help us to predict about patients having more chances to convert to overt DIC.

Understanding effects of DIC on organ dysfunction in septic shock patients can help to prognosticate and guide towards early intervention. Also, there is paucity of literature on effect of DIC score changes on organ dysfunction in patients with septic shock.

Detailed Description

Background and rationale for the study Septic shock patients and DIC commonly coexist and progression to overt DIC is serial process. Sepsis and septic shock condition is a prevalent condition as studied by Stephen et al especially in low medium income countries with incidence of 31.5 million per year. Divatia JV et al found incidence of severe sepsis and septic shock 28.3% in study covering different ICUs in India. Rhee C et al found incidence of severe sepsis and septic shock as high as 52.8%. Marx,G., et al observed incidence of septic shock in German ICUs to be 12.6 % whereas Mulatu HA et al found it to be 26.5% in African ICUs.

Also, septic shock has very high mortality rates. In India, Divatia JV et al observed that mortality in septic shock patients was 53.4 % and Chatterjee et al observed it to be 62.8%. Mortality rate according to different geographical locations have variations but still consistently high: 22.8% mortality in Greece ICUs, 79% in Turkish ICUs observed by Baykara et al in Japan 27%, in Taiwan 43.8%, in China 51.9 %.

Disseminated intravascular coagulation (DIC) is prevalent entity in sepsis/septic shock patients as observed in different studies: Ko BS et al observed prevalence to be 17.6%, Dhainut J.F et al found it to be 28.9%, Saito et al in Japan to be 29% and J Kienast et al in Germany observed it to be 40.7%.

DIC itself has high mortality: 29.1%, 40.7%, 50% and as high as 56%. Mortality rates further increases when DIC co exists with severe sepsis as seen 67.6% by Ogura H et al, 44.6% vs. 55.3 % without and with DIC respectively seen by Hayakawa et al, 11.7% vs. 54.1% without and with DIC respectively seen by Solanki D et al .

Septic shock patients are at high risk of develop multiple organ dysfunction (MODS). In fact, both DIC score and organ dysfunction were found increased in patients with septic shock as compared to patients without septic shock so the resultant higher mortality and MODS. Studies also found mortality risk further increases in septic shock patients with the presence of DIC.

Methodology Study design: This prospective observational study will be conducted at the Department of Critical Care Medicine in collaboration with the Department of Haematology, SGPGIMS, Lucknow after the approval from the Institutional Ethics Committee (IEC) Study protocol: During the study period, all adult ICU participants with the diagnosis of septic shock will be considered, as per inclusion and exclusion criteria, DIC scores and SOFA scores will be calculated and followed-up for the 14 days.

Definition and scores: Septic shock is defined as a subset of sepsis in which particularly profound circulatory, cellular, and metabolic abnormalities are associated with a greater risk of mortality than with sepsis alone. Participants with septic shock can be clinically identified by a vasopressor requirement to maintain a mean arterial pressure of 65 mmHg or greater and serum lactate level greater than 2mmol/L in the absence of hypovolemia (Sepsis -3 recommendations). DIC score for overt and non-overt DIC will be used as per International Society on Thrombosis and Haemostasis. (ISTH) Sample collection for DIC score calculation Blood samples will be collected as below Baseline sampling : At inclusion Second sampling : At 72 hours ±12 hours Third sampling : After 72 hours (±12 hours) of second sampling. Data collections: Demographic and relevant clinical characteristics of included participants will be collected on structured case report form.

Sample size and statistical analysis: Based on the study conducted by the H Ogura et al. (2014), SOFA score was during the day 1 (10.7±3.8) to day 4 (8.9±5.0) [Change in score: Cohen d effect size =0.398). At minimum two-sided 95% confidence and 80% power of the study, minimum estimated sample size for the study is 52. Finally minimum 60 participants to be enrolled in the study. Sample size was estimated using software G*power version 3.1.9.7. Descriptive statistics of the continuous variables will be presented as mean ± SD / Median (IQR) whereas categorical variables in Frequency (%). To compare the observations between baseline to follow-up data (quantitative variable), with the outcomes, two-way repeated measures ANOVA will be used. One way Analysis of covariance to be used to compare the post observations into outcomes after the adjusting the baseline measurements. Change in the SOFA score with change in the DIC score to be compared using spearman rank correlation coefficient. Decision trees analysis including Classification and regression trees to be used to identify the factors and subgroups predicting the outcomes. General linear regression model to be used to identify the factors predicting the change in the SOFA score. A p value < 0.05 to be considered as statistically significant. Statistical analysis to be performed using software "Statistical package for social sciences version 23 (SPSS-23) and MedCalc.

Conditions

Septic Shock; Disseminated Intravascular Coagulation

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

Septic shock

Adult ICU patients having septic shock as defined by Sepsis -3 definition requiring vasopressor for at least 12 hours duration will be considered for inclusion in this observational study..

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

• Adult ICU patients having septic shock as defined by Sepsis -3 definition requiring vasopressor for at least 12 hours duration will be considered.

Exclusion Criteria

• Patient having septic shock duration either less than 12 hours or more than 24 hours at the time of the inclusion
• Age less than 18 years or more than 65 years
• Expected survival less than 72 hours
• Caregiver refused for the consent to participate in the study

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 65 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Sanjay Gandhi Postgraduate Institute of Medical Sciences

OTHER_GOV

Sponsor Role: lead

Responsible Party

Mohan Gurjar

Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Mohan Gurjar, MD, PDCC

Role: PRINCIPAL_INVESTIGATOR

Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS)

Dinesh Chandra, MD, DM

Role: PRINCIPAL_INVESTIGATOR

Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS)

Locations

Sanjay Gandhi Postgraduate Institute of Medical Sciences

Lucknow, Uttar Pradesh, India

Site Status: RECRUITING

Countries

India

Central Contacts

Mohan Gurjar, MD, PDCC

Role: CONTACT

m.gurjar@rediffmail.com

+91-522-249-5403

Sanjay Chaudhary, MD

Role: CONTACT

sanjaychaudhary2282@gmail.com

+91-522-249-4540

Facility Contacts

Mohan Gurjar, MD, PDCC

Role: primary

Dinesh Chandra, MD, DM

Role: backup

Other Identifiers

2024-11-DM-136

Identifier Type: -

Identifier Source: org_study_id