The Sepsis Early Recognition and Response Initiative (SERRI)

A Neuro-Informatics Pipeline for Cerebrovascular Disease: Research Registry Development

BACKGROUND

Although stroke is well recognized as a critical disease, treatment options are often limited. Inpatient stroke encounters carry critical information regarding the mechanisms of stroke and patient outcomes; however, these data are typically formatted to support administrative functions instead of research. To support improvements in the care of patients with stroke, a substantive research data platform is needed.

OBJECTIVE

To advance a stroke-oriented learning health care system, we sought to establish a comprehensive research repository of stroke data using the Houston Methodist electronic health record (EHR) system.

METHODS

Dedicated processes were developed to import EHR data of patients with primary acute ischemic stroke, intracerebral hemorrhage (ICH), transient ischemic attack, and subarachnoid hemorrhage under a review board-approved protocol. Relevant patients were identified from discharge diagnosis codes and assigned registry patient identification numbers. For identified patients, extract, transform, and load processes imported EHR data of primary cerebrovascular disease admissions and available data from any previous or subsequent admissions. Data were loaded into patient-focused SQL objects to enable cross-sectional and longitudinal analyses. Primary data domains (admission details, comorbidities, laboratory data, medications, imaging data, and discharge characteristics) were loaded into separate relational tables unified by patient and encounter identification numbers. Computed tomography, magnetic resonance, and angiography images were retrieved. Imaging data from patients with ICH were assessed for hemorrhage characteristics and cerebral small vessel disease markers. Patient information needed to interface with other local and national databases was retained. Prospective patient outreach was established, with patients contacted via telephone to assess functional outcomes 30, 90, 180, and 365 days after discharge. Dashboards were constructed to provide investigators with data summaries to support access.

RESULTS

The Registry of Neurological Endpoint Assessments among Patients with Ischemic and Hemorrhagic Stroke (REINAH) database was constructed as a series of relational category-specific SQL objects. Encounter summaries and dashboards were constructed to draw from these objects, providing visual data summaries for investigators seeking to build studies based on REINAH data. As of June 2022, the database contains 18,061 total patients, including 1809 (10.02%) with ICH, 13,444 (74.43%) with acute ischemic stroke, 1221 (6.76%) with subarachnoid hemorrhage, and 3165 (17.52%) with transient ischemic attack. Depending on the cohort, imaging data from computed tomography are available for 85.83% (1048/1221) to 98.4% (1780/1809) of patients, with magnetic resonance imaging available for 27.85% (340/1221) to 85.54% (11,500/13,444) of patients. Outcome assessment has successfully contacted 56.1% (240/428) of patients after ICH, with 71.3% (171/240) of responders providing consent for assessment. Responders reported a median modified Rankin Scale score of 3 at 90 days after discharge.

CONCLUSIONS

A highly curated and clinically focused research platform for stroke data will establish a foundation for future research that may fundamentally improve poststroke patient care and outcomes.

Evaluating inpatient adverse outcomes under California's Delivery System Reform Incentive Payment Program

OBJECTIVE

The California Delivery System Reform Incentive Payment Program (DSRIP) provided incentive payments to Designated Public Hospitals (DPHs) to improve quality of care. We assessed the program's impact on reductions in sepsis mortality, central line-associated bloodstream infections (CLABSIs), venous thromboembolisms (VTEs), and hospital-acquired pressure ulcers (HAPUs).

DATA SOURCES

We used 2009-2014 discharge data from California hospitals.

STUDY DESIGN

We used a pre-post study design with a comparison group. We constructed propensity scores and used them to assign inverse probability weights according to their similarity to DPH discharges. Interaction term coefficients of time trends and treatment group provided significance testing.

DATA EXTRACTION

We used Patient Safety Indicators for CLABSI, HAPU, and VTE, and constructed a sepsis mortality measure.

PRINCIPAL FINDINGS

Discharges from DPHs and non-DPHs both saw decreases in the four outcomes over the DSRIP period (2010-2014). The difference-in-difference estimator (DD) for sepsis was only significant during two time periods, comparing 2010 with 2012 (DD: -2.90 percent, 95% CI: -5.08, -0.72 percent) and 2010 with 2014 (DD: -5.74, 95% CI: -8.76 percent, -2.72 percent); the DD estimator was not significant comparing 2010 with 2012 (DD: -1.30, 95% CI: -3.18 percent, 0.58 percent) or comparing 2010 with 2013 (DD: -3.05 percent, 95% CI: -6.50 percent, 0.40 percent). For CLABSI, we did not find any meaningful differences between DPHs and non-DPHs across the four time periods. For HAPU and VTE, the only significant DD estimator compared 2014 with 2010.

CONCLUSIONS

We did not find that DPHs participating in DSRIP outperformed non-DPHs during the DSRIP program. Our results were robust to multiple sensitivity analyses. Given multiple concurrent inpatient safety initiatives, it was challenging to assign improvements over time periods to DSRIP.

Sepsis outcomes in solid organ transplant recipients

BACKGROUND

We present data on a cohort of patients diagnosed with sepsis over a 10-year period comparing outcomes in solid organ transplant (SOT) and non-solid organ transplant (non-SOT) recipients.

METHODS

This is a retrospective single-center study of patients with diagnosis of sepsis from 1/1/06 to 6/30/16. Cases and controls were matched by year of sepsis diagnosis with propensity score matching. Conditional logistic regression and repeated measurement models were performed for binary outcomes. Trends over time for in-hospital mortality were determined using the Cochran-Armitage test. A gamma-distributed model was performed on the continuous variables.

RESULTS

Overall, there were 18 632 admission encounters with a discharge diagnosis of sepsis in 14 780 unique patients. Of those admissions, 1689 were SOT recipients. After 1:1 matching by year, there were three thousand three hundred and forty patients (1670 cases; 1670 controls) diagnosed with sepsis. There was a decreasing trend for in-hospital mortality for sepsis over time in SOT patients and non-SOT patients (P < .05) due to early sepsis recognition and improved standard of care. Despite higher comorbidities in the SOT group, conditional logistic regression showed that in-hospital mortality for sepsis in SOT patients was similar compared with non-SOT patients (odds ratio [OR] =1.14 [95% confidence interval {CI}, 0.95-1.37], P = .161). However, heart and lung SOT subgroups had higher odds of dying compared with the non-SOT group (OR = 1.83 [95% CI, 1.30-2.57], P < .001 and OR = 1.77 [95% CI, 1.34-2.34], P < .001). On average, SOT patients had 2 days longer hospital length of stay compared with non-SOT admissions (17.00 ± 19.54 vs 15.23 ± 17.07, P < .05). Additionally, SOT patients had higher odds of hospital readmission within 30 days (OR = 1.25 [95% CI, 1.06-1.51], P = .020), and higher odds for DIC compared with non-SOT patients (OR = 1.76 [95% CI, 1.10-2.86], P = .021).

CONCLUSION

Sepsis in solid organ transplants and non-solid organ transplant patients have similar mortality; however, the subset of heart and lung transplant recipients with sepsis has a higher rate of mortality compared with the non-solid organ transplant recipients. SOT with sepsis as a group has a higher hospital readmission rate compared with non-transplant sepsis patients.

Discharge to Inpatient Care Facility After Anterior Lumbar Interbody Fusion: Incidence, Predictors, and Postdischarge Outcomes

BACKGROUND

Despite a significant number of patients being discharged to inpatient care facilities after anterior lumbar interbody fusion (ALIF), the current literature remains limited regarding the predictors associated with a nonhome discharge and the impact of continued inpatient care in a facility on postdischarge outcomes.

METHODS

The 2013-2016 American College of Surgeons National Surgical Quality Improvement Program was queried using Current Procedural Terminology (CPT) codes for ALIF (CPT-22558) and additional level fusions (CPT-22585). Discharge to inpatient care facilities included discharge to skilled care facilities and/or inpatient rehabilitation units.

RESULTS

Independent predictors of an inpatient care facility discharge were age older than 45 years (P < 0.001), female sex (P < 0.001), more than 10% body weight loss in the last 6 months prior to surgery (P=0.012), American Society of Anesthesiologists grade greater than II (P=0.005), undergoing a 2-level (P < 0.001) or more than 2-level fusion (P=0.017), a length of stay greater than 3 days (P < 0.001), and the occurrence of any predischarge complication (P < 0.001). After adjustment for differences in clinical and baseline characteristics between the 2 groups, discharge to an inpatient care facility after ALIF was independently associated with higher odds of any postdischarge complication (P=0.010), postdischarge wound complication (P=0.005), and postdischarge septic complications (P=0.011). No significant impact was seen on 30-day readmissions (P=0.943), 30-day reoperations (P=0.228), and 30-day mortality (P=0.913).

CONCLUSIONS

With an increasing focus toward minimizing costs associated with postacute care, providers should understand the need of appropriate preoperative risk stratification and construction of care pathways aimed at a home discharge to reduce the occurrence and/or risk of experiencing postdischarge complications.

Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis

BACKGROUND

Hospitals are increasingly turning to clinical decision support systems for sepsis, a life-threatening illness, to provide patient-specific assessments and recommendations to aid in evidence-based clinical decision-making. Lack of guidelines on how to present alerts has impeded optimization of alerts, specifically, effective ways to differentiate alerts while highlighting important pieces of information to create a universal standard for health care providers.

OBJECTIVE

To gain insight into clinical decision support systems-based alerts, specifically targeting nursing interventions for sepsis, with a focus on behaviors associated with and perceptions of alerts, as well as visual preferences.

METHODS

An interactive survey to display a novel user interface for clinical decision support systems for sepsis was developed and then administered to members of the nursing staff.

RESULTS

A total of 43 nurses participated in 2 interactive survey sessions. Participants preferred alerts that were based on an established treatment protocol, were presented in a pop-up format, and addressed the patient's clinical condition rather than regulatory guidelines.

CONCLUSIONS

The results can be used in future research to optimize electronic medical record alerting and clinical practice workflow to support the efficient, effective, and timely delivery of high-quality care to patients with sepsis. The research also may advance the knowledge base of what information health care providers want and need to improve the health and safety of their patients.