Improving the Quality and Design of Retrospective Clinical Outcome Studies that Utilize Electronic Health Records

Description Electronic health records (EHRs) are an excellent source for secondary data analysis. Studies based on EHR-derived data, if designed properly, can answer previously unanswerable clinical research questions. In this paper we will highlight the benefits of large retrospective studies from secondary sources such as EHRs, examine retrospective cohort and case-control study design challenges, as well as methodological and statistical adjustment that can be made to overcome some of the inherent design limitations, in order to increase the generalizability, validity and reliability of the results obtained from these studies.

Presentation, clinical course and complications in trauma patients with concomitant COVID-19 infection

BACKGROUND

This study investigated the impact of COVID-19 infection on hospitalized trauma patients.

METHODS

A retrospective review of hospitalized trauma patients at a level I trauma center was performed from March-December 2020. Data pertaining to patient demographics, presentation and hospital course was compared between COVID positive and negative trauma patients.

RESULTS

There were 4,912 patients and 179 (3.64%) were COVID-19 positive. Demographics and clinical presentation did not differ significantly between those with and without concomitant COVID-19. However, COVID positive trauma patients had higher rates of acute kidney injury (p = 0.016), sepsis (p = 0.016), unplanned intubation (p = 0.002) and unplanned return to the ICU (p = 0.01). The COVID positive cohort also had longer hospital stays (p < 0.01) with no significant difference in mortality.

CONCLUSIONS

In the setting of an ongoing pandemic, awareness of the complications COVID positive trauma patients are predisposed to is important for providers.

Identifying Risk Factors for Poor Outcomes Following Popliteal Vascular Injuries

BACKGROUND

Popliteal artery injuries (PAIs) may have amputation rates as high as 20%. This study focuses on identifying risk factors associated with major amputations following PAIs in a large single-center cohort. Additionally, we assess the impact of repairing or ligating concomitant popliteal vein injuries.

METHODS

A retrospective chart review encompassing 2011 to 2023 was conducted at a large urban level 1 trauma center. Patients with PAIs were included. Demographics and clinical data were analyzed, and univariate and multivariate evaluations identified significant risk factors for amputation. In patients with concomitant popliteal vein injuries, we compared outcomes between those who underwent popliteal vein repair and ligation.

RESULTS

One hundred eighty eight patients with PAIs were identified; 10 underwent index amputation and were excluded. Univariate analysis followed by multivariate analysis revealed that obesity (P = 0.0132) and neurologic deficits on arrival (P = 0.0096) were associated with amputation. In the subgroup with popliteal vein injuries (N = 93), there was no significant difference in amputation rates between those who had vein repair (P = 0.21) and those who underwent ligation (P = 0.84) on logistic regression analysis. Likewise, popliteal vein ligation did not impact duration of fasciotomy closure (P = 0.20) or skin graft area (P = 0.48) based on linear regression analysis.

CONCLUSIONS

Our study suggests that major amputations following PAIs are more likely in obese patients with neurologic deficits. It also suggests that venous ligation in cases of concomitant popliteal vein injuries does not significantly impact early limb salvage rate. Further research is needed to determine the optimal approach for managing concomitant popliteal vein injuries.

Organ-Space Surgical Site Infections: Consequences and Prediction Using ACS-NSQIP

BACKGROUND

The incidence of organ-space surgical site infections (OSIs) across the US has not decreased to the same extent as superficial and deep surgical site infections (SSIs). This study aimed to highlight the consequences and create a predictive model of OSIs using 2019 NSQIP data.

MATERIALS AND METHODS

The primary data source was the ACS NSQIP 2019 Participant Use Targeted File (PUF). Chi-squared and independent t-tests evaluated the association of OSIs and other postoperative complications. Variables of interest for our predictive model included 10 surgery types, 10 relevant preoperative laboratory values, and 26 other variables including demographics and comorbidities. A stepwise logistic regression model fit with OSIs as the outcome was used to calculate the predicted ROC and c-index.

RESULTS

A total of 1,076,441 cases submitted from 719 NSQIP-participating sites were included in our analysis, comprised of 16,751 (1.6%) OSIs with a median of 10 days (IQR: 11 days) between surgery and the development of an OSI. Forty-two variables were included in our final multivariable analysis. Esophageal and pancreatic surgeries yielded an approximate 4- and 6-fold higher increase in the odds of OSI, respectively (P < .001). ROC analysis yielded a c-index statistic of 0.846 (Figure 1). Associated consequences of OSIs included hospital readmission (OR = 20.74, 95% CI: 20.094-21.412, p < .001), sepsis (OR = 35.084; 95%CI: 33.75-36.47, p < .001) and higher probabilities of mortality (34% vs. 0.8%, p < .001) and morbidity (16% vs. 5.8%, p < .001).

DISCUSSION

OSIs have extensive consequences and may be predictable. These types of infections are multifactorial and require quality surveillance distinct from other SSIs.