Lower-Extremity Amputation Trends Among People With Diabetes in a Large Urban Environment

Nontraumatic lower-extremity amputations (NLEAs) are a disabling and costly complication of uncontrolled diabetes (1). Factors influencing NLEAs include glycemic control, vascular disease, foot ulcer, and diabetes prevention practices (2,3). Texas has high rates of underinsured individuals, high prevalence of diabetes, a growing Hispanic population, and high rates of NLEAs (4). We examine trends of lower-extremity amputation rates among adults with diabetes in Dallas County between 2015 and 2019. Using data from the Dallas-Fort Worth Hospital Council Educational and Research Foundation (DFWHC) and the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System (BRFSS), we calculated ageadjusted rates for major, minor, and overall NLEAs between 1 October 2015 and 30 September 2019. We followed the methodology used by Geiss et al. (3) and calculated age-adjusted NLEA rates per 1,000 adults with diabetes, using four adult age categories, with denominator data (numbers of adults with diabetes) estimated using BRFSS Dallas County diabetes prevalence data. Because of the transition of the ICD-9 to ICD-10 coding system on 1 October 2015, the 2015 quarter 4 data were annualized to account for quarters 1–3 that were coded using the prior ICD-9 system and therefore not used. The 2019 data were annualized to account for the unavailable 4th quarter data. The incomplete years were annualized and calculated using the available-quarter ICD-10 data and the diabetes prevalence data.We filtered the DFWHC adult (aged $18 years) inpatient database by quarter and year, choosing patients with a diabetes diagnosis code (ICD-10-Clinical Modification codes E10, E11, and E13) in any position and at least one lower-extremity amputation procedure code (ICD10-Procedural Classification System [PCS] codes 0Y620ZZ to 0Y6Y0Z3). NLEAs were further separated into major (above the foot) and minor (foot and toes) categories. We analyzed all available inpatient encounters (N = 5,182) (73% men, 27% women, 30% White, 31% Black, 33% Hispanic, 1% Asian). Thus, patients may contribute more than one hospitalization to analyses. Rates reflect the total inpatient diabetes encounters per year for NLEAs per Dallas County population with a diagnosis of diabetes. Encounters with both a major and minor ICD-10-PCS code were categorized as a major NLEA. We did not eliminate any cases because of a previous history of NLEAs. We calculated age-adjusted (ages 18–44, 45–64, 65–74, and $75 years) rates of NLEAs per 1,000 adults with diabetes in the population. We used Stata 14.0 software (StataCorp LP, College Station, TX) for statistical analysis. The BRFSS prevalence of diabetes in Dallas County was 11.7%. Age-adjusted NLEA rates per 1,000 in this population of adults with diabetes increased 22% between 2015 and 2019. Men experienced higher NLEA rates than women (Fig. 1). We found an overall steady increase in NLEA rates in Dallas County between 2015 and 2019. Our findings were consistent across all age-groups except 65–74 years. Increased rates were most pronounced among those aged 75 and older. Geiss et al. (3) reported a 43% decrease in NLEA between 2000 and 2009 with a 50% rebound between 2009 and 2015. The increase in NLEAs in our sample was driven mostly by minor versus major amputations. NLEAs were more prevalent in men versus women and in ages 18–64 years. The NLEA rates in men steadily increased between 2015 and 2019, while they decreased for women in the last 2 years of observation. In 2019, there was a difference between NLEA rates for males and females (P < 0.0001), as shown in Fig. 1. The reason for a decrease in major NLEAs and simultaneous increase in minor NLEAs is unclear. An increase in NLEAs could be attributed to preventive and clinical practices and advancements in wound healing and limb salvage surgeries resulting in limb preservation. Additionally, there may recently be differences in clinical decision-making that relate to sex, and this may explain the structural break in the data for females. Early intervention with minor NLEAs can