Study design
A retrospective case-control study of adult ICU patients with coagulopathy secondary to liver disease admitted between January 1st, 2018, and December 31st, 2018. All the patients who met the inclusion criteria during the study period were included. Patients were divided into two groups: patients who received any dose through any route of administration of phytonadione (vitamin K) compared to patients who did not receive vitamin K for INR correction secondary to liver disease. Patients were followed daily during ICU stay until ICU discharge after improving, or in-hospital death, whichever occurred first.
Participants
Patients were enrolled in the study if they were critically ill aged ≥18 years old with hepatic disease (s) and significant INR elevation (defined as INR≥ 1.5) within 24 hours of ICU admission. Exclusion criteria include receiving prolonged antibacterial therapy for ≥ 21 days, prior administration of any oral anticoagulant, or receiving prothrombin complex concentrate (PCC) or FFP simultaneously with vitamin K. Additionally, patients with comorbidity that cause coagulopathy other than hepatic diseases (i.e., systemic lupus erythematosus, lupus anticoagulant-hypoprothrombinemia syndrome, antiphospholipid antibody syndrome (APAS)), or comorbidity that increase bleeding/thrombosis risk (i.e., Hemophilia A, Hemophilia B, von Willebrand disease, Protein C or S deficiency, Antithrombin III deficiency, APAS) were excluded based on the chart-review.
Setting
This study was conducted in the adult medical, surgical, trauma, and burn ICUs at KAMC, a tertiary-care academic referral hospital in Riyadh, Saudi Arabia. The ICU admits medical, surgical, trauma, burn patients and operates as closed units with 71 ICU beds capacity with 24/7 onsite coverage by critical care board-certified intensivists.
Data collection
Demographic and clinical data including age, gender, weight, body mass index (BMI), associated co-morbidities, laboratory baseline including but not limited to coagulation profile (e.g., INR, aPTT, d-dimer), liver function tests (LFTs), complete blood count within 24 hours of ICU admission. Additionally, Glasgow Coma Scale (GCS), Vasoactive Inotropic Score (VIS), Acute Physiology and Chronic Health Evaluation (APACHE II) score, Sequential Organ Failure Assessment (SOFA) score, Nutrition Risk in Critically ill (NUTRIC) score, and the use of pharmacological DVT prophylaxis were recorded for eligible patients on the first day. Moreover, mechanical ventilation, endoscopy, receiving proton pump inhibitor (PPI) treatment dose, transfusions during ICU stay (i.e., RBCs/platelets, fresh frozen plasma (FFP) transfusion, cryoprecipitate), radiology finding (i.e., CT scan, ultrasound, magnetic resonance imaging (MRI)), surgery during ICU stay, respiratory and blood cultures were reviewed and recorded.
Outcomes
This study aims to investigate the efficacy and safety of using Phytonadione (Vitamin K) to correct INR elevation secondary to liver disease in critically ill patients. The primary outcome was to evaluate the association between vitamin K administration and incidence of bleeding (i.e., major and minor bleeding) in critically ill patients with INR elevation secondary to liver disease. Secondary outcomes were to evaluate the degree of international normalized ratio (INR) correction with vitamin K, the incidence of thrombosis, RBCs/Platelets transfusion requirement, mechanical ventilation duration, ICU length of stay (LOS), and ICU mortality.
Definition (s)
- Thrombosis/infraction was defined using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD10-CM) code (i.e., ischemic stroke, pulmonary embolism, deep vein thrombosis) during ICU stay (16).
- Major bleeding was defined as clinically overt bleeding associated with a fall ≥Hgb 20g/L, transfusion of ≥2U PRBC or whole blood, retroperitoneal or intracranial bleeding, or requiring urgent medical intervention. While minor bleeding was defined as those not fulfilling the criteria of major or clinically significant bleeding.
- Acute kidney injury (AKI) was defined using Acute Kidney Injury Network (AKIN) definition.
Data management and Statistical analysis
Collected data was entered in Microsoft Excel after being coded. There were two arms considered in this study, patients who received Vitamin K versus non-Vitamin K. As expected in an observational study, differences in baseline characteristics between the two treatment groups may exist. To adjust for these differences, a propensity score for the use of Vitamin K was generated with APACHE II, SOFA scores and the use of pharmacological DVT prophylaxis. Multivariate logistic regression was used to find out the relationship between treatments and the different outcomes considered in this study, adjusting for the generated propensity score.
We summarized categorical variables as number (percentage) and numerical variables (continuous variables) as mean and standard deviation (SD) or median and interquartile range (IQR) as appropriate. The normality assumptions were assessed for all numerical variables using statistical test (i.e. Shapiro–Wilk test) and also using graphical representation (i.e. histograms and Q-Q plots). We compared categorical variables using the chi square or Fisher exact test, normally distributed numerical variables with the t test, and other quantitative variables with the Mann-Whitney U test. Baseline characteristics, baseline severity and outcome variables were compared between the two groups. The INR changes were compared using Wilcoxon signed-rank test in Vitamin K group alone.
We assessed model fit using the Hosmer-Lemeshow goodness-of-fit test. Generalized linear regression and Multiple linear regression were also used to find out the relationship between treatments and the different outcomes considered in this study, adjusting for the generated propensity score. The odds ratios (OR) and estimates with the 95% confidence intervals (CI) were reported for the associations. We considered a P value of < 0.05 statistically significant and used SAS version 9.4 for all statistical analysis.