| Literature DB >> 35186645 |
Justin D Sawyer1, Jacob Franke1, Steven Scaife2, Nicole Z Sommer1, Michael W Neumeister1.
Abstract
BACKGROUND: Breast reconstruction is associated with improved quality of life after mastectomy. Options for breast reconstruction include autologous and implant-based methods. Although autologous reconstruction is more technically challenging and requires longer operative time, it is thought of as the gold standard. Our study examined differences in 90-day readmission rates between implant-based and autologous breast reconstruction using discharge data from the National Readmission Database, Healthcare Cost and Utilization Project, and Agency for Healthcare Research and Quality.Entities:
Year: 2022 PMID: 35186645 PMCID: PMC8846266 DOI: 10.1097/GOX.0000000000004112
Source DB: PubMed Journal: Plast Reconstr Surg Glob Open ISSN: 2169-7574
ICD-10 Procedure Coding System Codes* for Autologous and Implant-based Breast Reconstruction
| Autologous-based Procedure Codes | Procedure | Implant-based Procedure Codes | Procedure |
|---|---|---|---|
| 0HRT076 | Right TRAM | 0HRT0JZ | Replacement of breast with synthetic substitute, open approach, right |
| 0HRT077 | Right DIEP | 0HRU0JZ | Replacement of breast with synthetic substitute, open approach, left |
| 0HRT078 | Right SIEA | 0HRV0JZ | Replacement of breast with synthetic substitute, open approach, bilateral |
| 0HRT079 | Right GAP | 0HRT0KZ | Replacement of breast with nonautologous tissue substitute, open approach, right |
| 0HRU076 | Left TRAM | 0HRU0KZ | Replacement of breast with nonautologous tissue substitute, open approach, left |
| 0HRU077 | Left DIEP | 0HRV0KZ | Replacement of breast with nonautologous tissue substitute, open approach, bilateral |
| 0HRU078 | Left SIEA | 0HRT3JZ | Replacement of breast with synthetic tissue substitute, percutaneous approach, right |
| 0HRU079 | Left GAP | 0HRU3JZ | Replacement of breast with synthetic tissue substitute, percutaneous approach, left |
| 0HRV076 | Bilateral TRAM | 0HRV3JZ | Replacement of breast with synthetic tissue substitute, percutaneous approach, bilateral |
| 0HRV077 | Bilateral DIEP | 0HRT3KZ | Replacement of breast with nonautologous tissue substitute, percutaneous approach, right |
| 0HRV078 | Bilateral SIEA | 0HRU3KZ | Replacement of breast with nonautologous tissue substitute, percutaneous approach, left |
| 0HRV078 | Bilateral GAP | 0HRV3KZ | Replacement of breast with nonautologous tissue substitute, percutaneous approach, bilateral |
*The codes are used to identify implant-based and autologous breast reconstructions.
Leading Diagnoses for Autologous and Implant-based Breast Reconstructions
| Top Five Primary Diagnoses for 90-day Readmissions | |||||||
|---|---|---|---|---|---|---|---|
| Description | Code | All | Autologous | Implant | |||
| Count | Percentage | Count | Percentage | Count | Percentage | ||
| Infection following a procedure, initial encounter | T814XXA | 288 | 21.69 | 165 | 25.65 | 122 | 17.93 |
| Infection and inflammatory reaction due to other internal prosthetic devices, implants and grafts, initial encounter | T8579XA | 213 | 16.04 | 56 | 8.70 | 157 | 22.99 |
| Disruption of external operation (surgical) wound, not elsewhere classified, initial encounter | T8131XA | 31 | 2.03 | 15 | 2.40 | 16 | 2.29 |
| Other pulmonary embolism without acute corpulmonale | I2699 | 32 | 2.38 | 24 | 3.69 | 8 | 1.16 |
| Sepsis, unspecified organism | A419 | 25 | 1.92 | 16 | 2.48 | 9 | 1.39 |
The table contains the leading five readmission diagnoses and their associated ICD-10 codes for autologous and implant-based breast reconstructions.
Matched 90-day Readmission Groups
| Autologous (N = 7816) | Implant (N = 7509) |
| |||
|---|---|---|---|---|---|
| Number | Percent | Number | Percent | ||
| Age group | 0.9710 | ||||
| 40 and under | 1370 | 17.53 | 1363 | 18.15 | |
| 41–50 | 2322 | 29.71 | 2205 | 29.36 | |
| 51–60 | 2266 | 28.99 | 2174 | 28.95 | |
| 61–70 | 1487 | 19.03 | 1415 | 18.84 | |
| Over age 70 | 371 | 4.75 | 352 | 4.69 | |
| Obesity | 641 | 8.20 | 625 | 8.32 | 0.8493 |
| Diabetes (uncomplicated) | 363 | 4.64 | 372 | 4.95 | 0.5483 |
| Diabetes (complicated) | 92 | 1.18 | 90 | 1.20 | 0.9574 |
| Payer type | 0.9749 | ||||
| Medicare | 1305 | 16.70 | 1261 | 16.79 | |
| Medicaid | 763 | 9.76 | 740 | 9.85 | |
| Private/self-pay | 5574 | 71.32 | 5331 | 70.99 | |
| Other | 173 | 2.21 | 177 | 2.36 | |
| Charlson score | 0.2515 | ||||
| 0 | 3168 | 40.53 | 2940 | 39.15 | |
| 1–2 | 3278 | 41.94 | 3154 | 42.00 | |
| 3 and over | 1369 | 17.52 | 1415 | 18.84 | |
The table demonstrates the implant-based and autologous groups after 1:1 matching by multiple baseline characteristics.
Multivariable Logistic Regression Analysis for All 90-day Readmissions Cases
| Variable | Adjusted Odds Ratio | Interpretation |
|---|---|---|
| Autologous versus implant | 0.770 (0.638–0.931) | Autologous patients less likely to be readmitted |
| Charlson index | 1.221 (1.076–1.386) | Higher Charlson group more likely to be readmitted |
| Obesity | 1.205 (0.911–1.592) | Not Significant |
| Age group | 1.022 (0.929–1.124) | Not Significant |
| Medicaid versus medicare | 0.733 (0.515–1.042) | Not Significant |
| Medicaid versus private | 0.691 (0.538–0.887) | Private less likely to be readmitted |
| Medicaid versus other | 0.776 (0.442–1.327) | Not Significant |
| Income quartile 2 v 1 | 0.876 (0.672–1.143) | Not Significant |
| Income quartile 3 v 1 | 0.790 (0.608–1.027) | Not Significant |
| Income quartile 4 v 1 | 0.750 (0.591–0.952) | Higher income quartile less likely to be readmitted |
| Teaching versus nonteaching | 1.017 (0.813–1.273) | Not Significant |
| Hospital bed size | 1.016 (0.909–1.136) | Not Significant |
| Rural versus urban | 1.075 (0.874–1.323) | Not Significant |
| Diabetes (uncomplicated) | 1.102 (0.759–1.600) | Not Significant |
| Diabetes (complicated) | 1.212 (0.661–2.221) | Not Significant |
| Hypertension | 1.225 (1.000–1.500) | Not Significant |
| Chronic lung disease | 1.201 (0.894–1.613) | Not Significant |
| Length of stay | 1.090 (1.040–1.143) | Longer length of stay more likely to be readmitted |
The table contains the results of a logistic regression analysis performed on all included patients with 90-day readmissions to identify variables associated with 90-day readmission after breast reconstruction.