Original Research

Mismatch Between Process and Outcome Measures for Hospital-Acquired Venous Thromboembolism in a Surgical Cohort


 

References

Variables

Patient and hospital course variables that were analyzed included demographics, comorbidities, length of stay, number of procedures, index operation times, duration of postoperative bed rest, use of mechanical prophylaxis, and type of chemoprophylaxis and time frame within which it was initiated. Data were collected via chart review using International Classification of Diseases-9 and -10 codes to identify surgical cases within the allotted time period who were diagnosed with VTE. Demographic variables included age, sex, and ethnicity. Comorbidities included hypertension, diabetes, coronary artery disease, serious lung disease, previous or current malignancy, documented hypercoagulable state, and previous history of VTE. Body mass index (BMI) was also recorded. The aforementioned disease-specific variables were not matched between the case and control groups, as this data was obtained retrospectively during data collection.

Analysis

Associations between case and matched control were analyzed using the paired t-test for continuous variables and McNemar’s test for categorical variables. P values < 0.05 were considered statistically significant. SAS Enterprise Guide 7.15 (Cary, NC) was used for all statistical analyses.

The requirement for informed consent was waived by our Institutional Review Board, as the study was initially deemed to be a quality improvement project, and all data used for this report were de-identified.

Results

Our retrospective case-control analysis included a sample of 102 surgical patients whose courses were complicated by VTE between September 2012 and October 2015. The cases were distributed among 6 different surgical categories (Figure 1): trauma (20%), cancer (10%), cardiovascular (21%), noncancer neurosurgery (28%), elective orthopedics (11%), and miscellaneous general surgery (10%).

Distribution of procedure type.

Comparisons between cases and controls in terms of patient demographics and risk factors are shown in Table 2. No statistically significant difference was observed in ethnicity or race between the 2 groups. Overall, cases had more hip/pelvis/leg fractures at presentation (P = 0.0008). The case group also had higher proportions of patients with postoperative bed rest greater than 12 hours (P = 0.009), central venous access (P < 0.0001), infection (P < 0.0001), and lower extremity edema documented during the hospitalization prior to development of DVT (P < 0.0001). Additionally, cases had significantly greater rates of previous VTE (P = 0.0004), inherited or acquired thrombophilia (P = 0.03), history of stroke (P = 0.0003), and severe lung disease, including pneumonia (P = 0.0008). No significant differences were noted between cases and matched controls in BMI (P = 0.43), current tobacco use (P = 0.71), current malignancy (P = 0.80), previous malignancy (P = 0.83), head trauma (P = 0.17), or acute cardiac disease (myocardial infarction or congestive heart failure; P = 0.12).

Patient Demographics and Risk Factors

Variables felt to indicate overall complexity of hospital course for cases as compared to controls are outlined in Table 3. Cases were found to have significantly longer lengths of stay (median, 15.5 days versus 3 days, P < 0.0001). To account for the possibility that the development of VTE contributed to the increased length of stay in the cases, we also looked at the duration between admission date and the date of VTE diagnosis and determined that cases still had a longer length of stay when this was accounted for (median, 7 days versus 3 days, P < 0.0001). A much higher proportion of cases underwent more than 1 procedure compared to controls (P < 0.0001), and cases had significantly longer index operations as compared to controls (P = 0.002).

Complexity of Care

Pages

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