Validation of the International Classification of Disease 10th Revision Codes for Kidney Transplant Rejection and Failure

Administrative coding of frailty: Its association with clinical outcomes and resource use in kidney transplantation

INTRODUCTION

Although not formalized into current risk assessment models, frailty has been associated with negative postoperative outcomes in many specialties. However, national analyses of the association between frailty and post-transplant outcomes following kidney transplantation (KT) are lacking.

METHODS

This was a retrospective cohort study of adults undergoing KT from 2016 to 2020 in the Nationwide Readmissions Databases. Frailty was defined using the Johns Hopkins Adjusted Clinical Groups frailty indicator.

RESULTS

Of an estimated 95 765 patients undergoing KT during the study period, 4918 (5.1%) were frail. After risk adjustment, frail patients were associated with significantly higher odds of in-hospital mortality (AOR 2.17, 95% CI: 1.33-3.57) compared to their non-frail counterparts. Our findings indicate that frail patients had an average increase in postoperative hospital stay of 1.44 days, a $2300 increase in hospitalization costs, as well as higher odds of developing a major perioperative complication as compared to their non-frail counterparts. Frailty was also associated with greater adjusted risk of non-home discharge.

CONCLUSIONS

Frailty, as identified by administrative coding, is independently associated with worse surgical outcomes, including increased mortality and resource use, in adults undergoing KT. Given the already limited donor organ pool, novel efforts are needed to ensure adequate optimization and timely post-transplantation care of the growing frail cohort undergoing KT.

Association of frailty with postoperative outcomes following thoracic transplantation: A national analysis

Objective

Frailty has been repeatedly associated with inferior outcomes after surgical hospitalizations. However, a thorough evaluation of the impact of frailty on the clinical and financial outcomes of patients undergoing solid-organ thoracic transplantation is sparse in the literature. We evaluated the association of frailty, as determined by an administrative tool, with postoperative outcomes and healthcare resource use after heart or lung transplantation.

Methods

The Nationwide Readmissions Database was used to identify all adult hospitalizations for heart or lung transplant from 2014 to 2020. Patients were grouped as frail or nonfrail using International Classification of Diseases codes associated with conditions in the Johns Hopkins Adjusted Clinical Groups cluster. Multivariable regression models were developed to evaluate the association of frailty status on in-hospital mortality, complications, length of stay, costs, and unplanned readmissions.

Results

Of an estimated 35,862 heart or lung transplant recipients, 7316 (20.4%) were considered frail. After multivariable adjustment, frailty in heart transplantation was associated with greater odds of in-hospital mortality (adjusted odds ratio, 1.54; 95% CI, 1.19-1.99) and infectious complications (adjusted odds ratio, 1.77; 95% CI, 1.45-2.15; P < .001). Frailty in lung transplantation was also associated with higher odds of in-hospital mortality (adjusted odds ratio, 1.38; 95% CI, 1.11-1.69) and infectious complications (adjusted odds ratio, 1.93; 95% CI, 1.60-2.31). In addition, frailty in both heart transplantation and lung transplantation was associated with increased postoperative length of stay and greater costs.

Conclusions

Among transplant recipients, those classified as frail were associated with increased in-hospital mortality, perioperative complications, and resource use.

ICD-10 codes do not accurately reflect ankle fracture injury patterns

OBJECTIVE

To determine the accuracy of International Classification of Disease Version 10 (ICD-10) coding for ankle fracture injury patterns.

DESIGN

Retrospective cohort study PATIENTS: 97 adult patients with fractures about the ankle (rotational ankle fracture or distal tibia fracture) from 2016 to 2020, selected by stratified random sampling.

INTERVENTION

Assignment of an ICD-10 code representative of a rotational ankle fracture, pilon fracture, or unspecified fracture of the lower leg.

OUTCOME MEASUREMENTS

Injury radiographs were reviewed by three authors to determine the correct code. Agreement between the correct code and the electronic medical record (EMR) assigned code was determined using kappa's statistic in the aggregate as well as percent agreement, sensitivity, specificity, and positive predictive value (PPV) between individual codes.

RESULTS

59 of 97 cases (60.8%) demonstrated discordance between the existing EMR and surgeon-assigned codes. Aggregate agreement between all codes was fair (K = 0.26). Lateral malleolus fracture codes demonstrated the highest PPV (0.91, 95% CI 0.72-0.99), while the lowest PPV was found for "other fractures of the lower leg" (0.05, 95% CI 0.0-0.24) and "other fracture of the fibula" (0.0, 95% CI 0.0-0.15). Generalized "other fracture" codes comprised 45% of EMR codes compared to only 6% of assigned codes (p < 0.001). EMR codes were specific but not sensitive.

CONCLUSION

There is substantial discordance between existing EMR and surgeon-assigned ICD-10 codes for ankle fractures. Database research that relies on ICD-10 coding as a surrogate for primary clinical data should be interpreted with caution and institutions should make efforts to increase the accuracy of their coding.