OBJECTIVE

To determine whether declining trends in lower-extremity amputations have continued into the current decade.

RESEARCH DESIGN AND METHODS

We calculated hospitalization rates for nontraumatic lower-extremity amputation (NLEA) for the years 2000–2015 using nationally representative, serial cross-sectional data from the Nationwide Inpatient Sample on NLEA procedures and from the National Health Interview Survey for estimates of the populations with and without diabetes.

RESULTS

Age-adjusted NLEA rates per 1,000 adults with diabetes decreased 43% between 2000 (5.38 [95% CI 4.93–5.84]) and 2009 (3.07 [95% CI 2.79–3.34]) (P < 0.001) and then rebounded by 50% between 2009 and 2015 (4.62 [95% CI 4.25–5.00]) (P < 0.001). In contrast, age-adjusted NLEA rates per 1,000 adults without diabetes decreased 22%, from 0.23 per 1,000 (95% CI 0.22–0.25) in 2000 to 0.18 per 1,000 (95% CI 0.17–0.18) in 2015 (P < 0.001). The increase in diabetes-related NLEA rates between 2009 and 2015 was driven by a 62% increase in the rate of minor amputations (from 2.03 [95% CI 1.83–2.22] to 3.29 [95% CI 3.01–3.57], P < 0.001) and a smaller, but also statistically significant, 29% increase in major NLEAs (from 1.04 [95% CI 0.94–1.13] to 1.34 [95% CI 1.22–1.45]). The increases in rates of total, major, and minor amputations were most pronounced in young (age 18–44 years) and middle-aged (age 45–64 years) adults and more pronounced in men than women.

CONCLUSIONS

After a two-decade decline in lower-extremity amputations, the U.S. may now be experiencing a reversal in the progress, particularly in young and middle-aged adults.

Rates of lower-extremity amputations among adults with diabetes are an important index of comprehensive diabetes care as they are influenced by glycemic control, cardiovascular risk factor management, early detection of diabetes-related complications, and diabetes self-care management (16). National surveillance data showed that rates of nontraumatic lower-extremity amputations (NLEAs) declined by about half between 1990 and 2010, accompanying reductions in other diabetes-related complications, representing a major success in ongoing clinical and public health efforts to manage the growing burden of type 2 diabetes (7,8). However, the national reductions in NLEAs and other diabetes-related complications were driven primarily by reductions in the older population, and disparities related to race/ethnicity, socioeconomic status, and geographic location remained (7). In addition, other concerning changes have beset the young-adult and middle-aged populations, including increases in rates of hyperglycemic mortality, hospitalization for hyperglycemia, and a stagnation of reductions in cardiovascular disease hospitalizations (911). The lack of change in income inequality, combined with lingering impact of the great recession of 2008, has been cited as one possible explanation for the stabilization of rates in key health indicators, including diabetes complications (12). However, few studies have examined the most recent trends in diabetes-related morbidity. In this study, we present recent trends in lower-extremity amputations in the U.S. population from 2000 to 2015.

Data Sources and Measurements

We used 2000–2015 data from the Nationwide Inpatient Sample (NIS) of the Agency for Healthcare Research and Quality to identify hospital discharges involving both diabetes and NLEA. The NIS is a nationally representative sample of all community-based hospitals and consists of annual data on 7–8 million hospital stays (13). We identified discharges listing diabetes (ICD-9, Clinical Modification [ICD-9-CM], code 250) as 1 of 15 discharge diagnoses and listing a lower-extremity amputation procedure (ICD-9-CM procedure code 84.1, excluding ICD-9-CM disease codes 895–897 for amputation due to trauma such as automobile accidents) as 1 of 15 procedures. As the NIS does not distinguish between primary and repeat hospitalizations within individuals, these rates reflect total discharges per year for NLEAs per population as opposed to first discharge per year per population. NLEAs were further categorized by level of amputation using the following ICD-9-CM procedure codes: minor (toe [84.11] and foot [84.12–84.13]) and major (above foot and below knee [84.14–84.16], and above knee [84.17–84.19]). In the last quarter of 2015, ICD-10-CM rather than ICD-9-CM was used to code diseases and procedures. To avoid any possible effects of this change, we analyzed data for the first three quarters of 2015 using appropriate weights to represent 2015 hospitalizations. We calculated NLEA rates using estimates of the population with and without diabetes derived from Centers for Disease Control and Prevention’s National Health Interview Survey, an ongoing household interview survey of the health of the U.S. civilian noninstitutionalized population (14).

Statistical Analyses

We used SAS, version 9.4 (SAS Institute), and SUDAAN, version 11.01 (RTI International), to account for the complex sampling designs of the two surveys and incorporating revised NIS sample weights (13). We calculated rates per 1,000 adults with and without diabetes and analyzed trends in total, major, and minor amputations by age-group, sex, and level of amputation. NLEA rates were age standardized using the 2000 U.S. population and four age-groups. We used Joinpoint trend analysis software, version 4.5.0.1 (15) to analyze trends in NLEA rates. This analysis uses permutation tests to identify points where linear trends change significantly in either direction or magnitude and calculates an annual percentage change (APC) for each time period identified. The test of APC is based on a Student t test. Since our analysis detected a shift in slope in 2009 or 2010 for total, major, and minor NLEAs, we report APCs for two time periods (2000–2009/2010 and 2010–2015) and summary point estimates for years 2000, 2009/2010, and 2015. Yearly trends are presented graphically. We considered differences statistically significant if they had a two-sided P value <0.05.

In 2000, there were n = 129,293 (95% CI 122,514–136,074) adult hospitalizations for NLEA, rising to 153,373 (95% CI 149,270–157,475) in 2015. Diabetes-related amputations accounted for 69% of all adult hospitalizations for NLEA in the year 2000 (n = 89,770 [95% CI 84,768–94,771]) and 75% in 2015 (n = 115,007 [95% CI 111,790–118,223]). Overall, age-adjusted NLEA rates per 1,000 adults with diabetes decreased 43% (−5.44% APC [95% CI −6.69 to −4.18]) between 2000 (5.38 [95% CI 4.93–5.84]) and 2009 (3.07 [95% CI 2.79–3.34]) (P < 0.001) and then increased 50% (5.82% APC [95% CI 3.46–8.24]) between 2009 and 2015 (4.62 [95% CI 4.25–5.00]) (Fig. 1 and Table 1). In contrast, age-adjusted NLEA rates per 1,000 adults without diabetes decreased 22%, from 0.23 per 1,000 (95% CI 0.22–0.25) in 2000 to 0.18 per 1,000 (95% CI 0.17–0.18) in 2015 (P < 0.001) (Fig. 1). The increase in diabetes-related NLEA rates since 2009 was driven by a 62% increase (6.94% APC [95% CI 4.53–9.41%]) in the rate of minor amputations (from 2.03 [95% CI 1.83–2.22] to 3.29 [95% CI 3.01–3.57], P < 0.001) and a smaller, but also statistically significant, 29% increase (3.18% APC [95% CI 0.59–5.84]) in the rate of major NLEAs (from 1.04 [95% CI 0.94–1.13] to 1.34 [95% CI 1.22–1.45]) (Fig. 1 and Table 1). The absolute numbers of NLEAs, by level of amputation, are presented in Fig. 2.

Figure 1

Age-adjusted rates of total, major, and minor NLEAs per 1,000 adults with diabetes (upper panel) and without diabetes (lower panel). Blue, total NLEAs; gray, minor NLEAs (toe or foot); red, major NLEAs (above foot/below knee or above knee).

Figure 1

Age-adjusted rates of total, major, and minor NLEAs per 1,000 adults with diabetes (upper panel) and without diabetes (lower panel). Blue, total NLEAs; gray, minor NLEAs (toe or foot); red, major NLEAs (above foot/below knee or above knee).

Close modal
Table 1

Age-standardized, diabetes-related lower-extremity amputation rate (per 1,000 adults with diabetes)

Rate (95% CI)
APC (95% CI)
20002009/2010*2015First trend APCP valueSecond trend APCP value
All NLEAs        
 Total* 5.38 (4.93–5.84) 3.07 (2.79–3.34) 4.62 (4.25–5.00) −5.44 (−6.69 to −4.18) <0.001 5.82 (3.46–8.24) <0.001 
 Men 6.85 (6.08–7.61) 4.03 (3.57–4.50) 6.97 (6.10–7.84) −5.12 (−6.72 to −3.48) <0.001 7.41 (4.32–10.61) <0.001 
 Women 3.95 (3.55–4.35) 2.03 (1.81–2.26) 2.62 (2.36–2.89) −6.52 (−7.82 to −5.21) <0.001 3.46 (0.90–6.08) 0.012 
 Age 18–44 years 2.86 (2.38–3.34) 2.05 (1.71–2.39) 4.15 (3.53–4.76) −2.43 (−4.86 to 0.05) 0.054 9.00 (4.65–13.53) 0.001 
 Age 45–64 years 6.90 (6.17–7.63) 3.80 (3.40–4.20) 5.43 (4.98–5.88) −5.65 (−7.11 to −4.16) <0.001 6.07 (3.57–8.63) <0.001 
 Age 65–74 years 8.68 (7.64–9.73) 4.50 (3.94–5.05) 4.53 (4.1–4.96) −7.30 (−7.93 to −6.65) <0.001 0.43 (−0.66 to 1.53) 0.402 
 Age ≥75 years 12.64 (10.94–14.34) 4.57 (3.99–5.14) 4.91 (4.4–5.42) −9.06 (−10.28 to −7.82) <0.001 −0.19 (−3.36 to 3.09) 0.902 
Major NLEAs        
 Total* 2.28 (2.09–2.47) 1.04 (0.94–1.13) 1.34 (1.22–1.45) −8.38 (−9.68 to −7.07) <0.001 3.18 (0.59–5.84) 0.020 
 Men 2.68 (2.39–2.97) 1.29 (1.15–1.43) 1.89 (1.66–2.13) −6.92 (−8.31 to −5.50) <0.001 6.72 (2.23–11.39) 0.007 
 Women 1.88 (1.69–2.08) 0.77 (0.68–0.86) 0.85 (0.75–0.95) −9.72 (−11.12 to −8.31) <0.001 1.09 (−1.88 to 4.15) 0.441 
 Age 18–44 years 0.84 (0.69–1.00) 0.49 (0.4–0.58) 1.05 (0.87–1.22) −5.37 (−8.15 to −2.50) 0.002 9.14 (3.78–14.77) 0.003 
 Age 45–64 years 2.77 (2.47–3.07) 1.33 (1.17–1.48) 1.59 (1.45–1.74) −7.60 (−9.43 to −5.74) <0.001 3.28 (0.09–6.57) 0.045 
 Age 65–74 years 4.33 (3.8–4.85) 1.69 (1.47–1.91) 1.62 (1.45–1.78) −9.09 (−9.77 to −8.41) <0.001 −0.79 (−2.57 to 1.02) 0.353 
 Age ≥75 years 7.57 (6.54–8.61) 2.10 (1.81–2.39) 1.98 (1.75–2.20) −11.29 (−12.19 to −10.39) <0.001 −2.96 (−5.39 to −0.47) 0.024 
Minor NLEAs        
 Total* 3.10 (2.81–3.40) 2.03 (1.83–2.22) 3.29 (3.01–3.57) −3.63 (−4.95 to −2.28) <0.001 6.94 (4.53–9.41) <0.001 
 Men 4.17 (3.65–4.68) 2.74 (2.40–3.08) 5.08 (4.41–5.75) −3.75 (−5.41 to −2.07) 0.001 8.59 (5.47–11.80) <0.001 
 Women 2.07 (1.83–2.30) 1.26 (1.11–1.42) 1.77 (1.58–1.97) −4.04 (−5.52 to −2.54) <0.001 4.57 (1.77–7.44) 0.004 
 Age 18–44 years 2.01 (1.66–2.36) 1.56 (1.29–1.82) 3.1 (2.63–3.57) −1.32 (−3.78 to 1.20) 0.271 8.92 (4.59–13.44) 0.001 
 Age 45–64 years 4.12 (3.67–4.58) 2.47 (2.21–2.74) 3.83 (3.51–4.16) −4.50 (−5.81 to −3.17) <0.001 7.38 (5.16–9.65) <0.001 
 Age 65–74 years 4.35 (3.79–4.92) 2.60 (2.27–2.93) 2.91 (2.63–3.2) −5.35 (−6.13 to −4.56) <0.001 1.96 (0.66–3.27) 0.007 
 Age ≥75 years 5.07 (4.33–5.80) 2.47 (2.15–2.78) 2.93 (2.61–3.25) −6.38 (−7.93 to −4.80) <0.001 1.86 (−2.03 to 5.91) 0.320 
Rate (95% CI)
APC (95% CI)
20002009/2010*2015First trend APCP valueSecond trend APCP value
All NLEAs        
 Total* 5.38 (4.93–5.84) 3.07 (2.79–3.34) 4.62 (4.25–5.00) −5.44 (−6.69 to −4.18) <0.001 5.82 (3.46–8.24) <0.001 
 Men 6.85 (6.08–7.61) 4.03 (3.57–4.50) 6.97 (6.10–7.84) −5.12 (−6.72 to −3.48) <0.001 7.41 (4.32–10.61) <0.001 
 Women 3.95 (3.55–4.35) 2.03 (1.81–2.26) 2.62 (2.36–2.89) −6.52 (−7.82 to −5.21) <0.001 3.46 (0.90–6.08) 0.012 
 Age 18–44 years 2.86 (2.38–3.34) 2.05 (1.71–2.39) 4.15 (3.53–4.76) −2.43 (−4.86 to 0.05) 0.054 9.00 (4.65–13.53) 0.001 
 Age 45–64 years 6.90 (6.17–7.63) 3.80 (3.40–4.20) 5.43 (4.98–5.88) −5.65 (−7.11 to −4.16) <0.001 6.07 (3.57–8.63) <0.001 
 Age 65–74 years 8.68 (7.64–9.73) 4.50 (3.94–5.05) 4.53 (4.1–4.96) −7.30 (−7.93 to −6.65) <0.001 0.43 (−0.66 to 1.53) 0.402 
 Age ≥75 years 12.64 (10.94–14.34) 4.57 (3.99–5.14) 4.91 (4.4–5.42) −9.06 (−10.28 to −7.82) <0.001 −0.19 (−3.36 to 3.09) 0.902 
Major NLEAs        
 Total* 2.28 (2.09–2.47) 1.04 (0.94–1.13) 1.34 (1.22–1.45) −8.38 (−9.68 to −7.07) <0.001 3.18 (0.59–5.84) 0.020 
 Men 2.68 (2.39–2.97) 1.29 (1.15–1.43) 1.89 (1.66–2.13) −6.92 (−8.31 to −5.50) <0.001 6.72 (2.23–11.39) 0.007 
 Women 1.88 (1.69–2.08) 0.77 (0.68–0.86) 0.85 (0.75–0.95) −9.72 (−11.12 to −8.31) <0.001 1.09 (−1.88 to 4.15) 0.441 
 Age 18–44 years 0.84 (0.69–1.00) 0.49 (0.4–0.58) 1.05 (0.87–1.22) −5.37 (−8.15 to −2.50) 0.002 9.14 (3.78–14.77) 0.003 
 Age 45–64 years 2.77 (2.47–3.07) 1.33 (1.17–1.48) 1.59 (1.45–1.74) −7.60 (−9.43 to −5.74) <0.001 3.28 (0.09–6.57) 0.045 
 Age 65–74 years 4.33 (3.8–4.85) 1.69 (1.47–1.91) 1.62 (1.45–1.78) −9.09 (−9.77 to −8.41) <0.001 −0.79 (−2.57 to 1.02) 0.353 
 Age ≥75 years 7.57 (6.54–8.61) 2.10 (1.81–2.39) 1.98 (1.75–2.20) −11.29 (−12.19 to −10.39) <0.001 −2.96 (−5.39 to −0.47) 0.024 
Minor NLEAs        
 Total* 3.10 (2.81–3.40) 2.03 (1.83–2.22) 3.29 (3.01–3.57) −3.63 (−4.95 to −2.28) <0.001 6.94 (4.53–9.41) <0.001 
 Men 4.17 (3.65–4.68) 2.74 (2.40–3.08) 5.08 (4.41–5.75) −3.75 (−5.41 to −2.07) 0.001 8.59 (5.47–11.80) <0.001 
 Women 2.07 (1.83–2.30) 1.26 (1.11–1.42) 1.77 (1.58–1.97) −4.04 (−5.52 to −2.54) <0.001 4.57 (1.77–7.44) 0.004 
 Age 18–44 years 2.01 (1.66–2.36) 1.56 (1.29–1.82) 3.1 (2.63–3.57) −1.32 (−3.78 to 1.20) 0.271 8.92 (4.59–13.44) 0.001 
 Age 45–64 years 4.12 (3.67–4.58) 2.47 (2.21–2.74) 3.83 (3.51–4.16) −4.50 (−5.81 to −3.17) <0.001 7.38 (5.16–9.65) <0.001 
 Age 65–74 years 4.35 (3.79–4.92) 2.60 (2.27–2.93) 2.91 (2.63–3.2) −5.35 (−6.13 to −4.56) <0.001 1.96 (0.66–3.27) 0.007 
 Age ≥75 years 5.07 (4.33–5.80) 2.47 (2.15–2.78) 2.93 (2.61–3.25) −6.38 (−7.93 to −4.80) <0.001 1.86 (−2.03 to 5.91) 0.320 
*

For 5-point estimates (total NLEAs for men, major NLEAs for men ages 65–74 and ≥75 years, and minor NLEAs for ages ≥75 years), the change point was noted at year 2010 rather than at year 2009.

Figure 2

Number (in 1,000s) of NLEAs among adults with diagnosed diabetes by level of amputation. Blue, toe; red, foot; green, above foot/below knee/knee; purple, above knee.

Figure 2

Number (in 1,000s) of NLEAs among adults with diagnosed diabetes by level of amputation. Blue, toe; red, foot; green, above foot/below knee/knee; purple, above knee.

Close modal

We observed the same pattern of decreasing NLEA rates between 2000 and 2009/2010 and increases between 2010 and 2015 in all subgroups except for older adults aged 65–74 and ≥75 years, among whom there was no significant change in rates after year 2010 (Table 1). After 2009/2010, rates of minor amputations increased in all age and sex subgroups except adults aged ≥75 years, whereas major amputations increased after 2010 in all subgroups except adults aged 65–74 years and among women. The increases in rates of total, major, and minor amputations were most pronounced in young (aged 18–44 years) and middle-aged (45–64 years) adults and more pronounced in men than women.

This examination of national hospitalization and survey data indicates that, after large improvements over recent decades, improvements in national amputation rates in the population with diabetes slowed and flattened and for some groups began to increase. The reversal in amputation rates was driven primarily by increases in younger and middle-aged adults and men, and by increases in minor amputations, mostly of the toe. For women and older adults, amputation rates have flattened after having decreased in prior years. These changes in trend are concerning because of the disabling and costly consequences of NLEAs as well as what they may mean for the direction of efforts to reduce diabetes-related complications (4,16,17).

Reasons for the observed reversals in amputation trends are unclear. The increase in minor amputations may reflect a shift in clinical decision-making, with a preference for earlier toe amputations to prevent more serious amputations and related hospitalizations. However, increases in major amputations were also observed overall and in most subgroups as well, suggesting that there are more fundamental failures in the prevention of major lower-extremity disease. Many amputations may be avoided through attention to self- and clinical care practices to manage risk factors, including glycemic control and cardiovascular disease risk factors, and through early detection and appropriate treatment of foot ulcers (4,5). Increasing rates of NLEAs, particularly minor amputations, suggest either early prevention practices (e.g., self-management education, appropriate footwear, foot exams, and identification of high-risk feet) might not be optimally performed to prevent foot ulcers and/or there may be delays in timely treatment of ulcers. Trends could also be affected by changes in coding practices for NLEA hospitalizations.

It is also possible that increased rates are due to changes in the underlying characteristics of the population with diabetes resulting from changes in screening and detection policies and practices, changes in access to care, or health effects of the economic downturn after the great recession at the end of the last decade (12). Increases in awareness, testing, and screening may have led to an increasingly healthier denominator, and recommendations to use HbA1c for the diagnosis of diabetes may also be changing the characteristics of diagnosed samples of adults with diabetes (18). In addition, the declines in mortality rates may be increasing levels of multimorbidity among the underlying population.

Although our study uses nationally representative data, it has some limitations. Because some minor amputations are performed in outpatient settings, our data may underestimate minor amputations. Similarly, since NIS hospitalization data represent hospital discharges and not individual people, we cannot separate first from subsequent events. Thus, these rates should be interpreted as number of events per population, rather than the number of people with an amputation. Finally, neither NIS nor National Health Interview Survey data can be used to distinguish the type of diabetes. Because type 2 diabetes accounts for between 90% and 95% of all diabetes, the results presented are likely more reflective of type 2 diabetes.

This analysis documents a discouraging change in the NLEA trend in the U.S., with current rates either plateauing or increasing after considerable successes in reducing amputations over recent decades. Reasons for this reversal are unknown; a better understanding of the individual-level, clinical, and health policy factors driving these changes may help to undo this reversal and sustain positive future trends. In the meantime, efforts to improve preventive foot care and diabetes self-management education and optimally manage glycemic control and cardiovascular risk factors are warranted. Understanding the factors explaining these trends may help prioritize preventive approaches. Because the majority of NLEAs occur among adults with diabetes, continuing to expand the implementation of proven methods to prevent or delay type 2 diabetes may also ultimately contribute to reducing the number of NLEAs along with other diabetes-related complications.

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. L.S.G. and E.W.G. conceived of and guided the analysis and wrote the manuscript. Y.L. and I.H. conducted the analysis. A.A. and D.R. contributed to the data collection and reviewed and edited the manuscript. E.W.G. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

1.
Adler
AI
,
Boyko
EJ
,
Ahroni
JH
,
Smith
DG
.
Lower-extremity amputation in diabetes. The independent effects of peripheral vascular disease, sensory neuropathy, and foot ulcers
.
Diabetes Care
1999
;
22
:
1029
1035
2.
Carinci
F
,
Massi Benedetti
M
,
Klazinga
NS
,
Uccioli
L
.
Lower extremity amputation rates in people with diabetes as an indicator of health systems performance. A critical appraisal of the data collection 2000-2011 by the Organization for Economic Cooperation and Development (OECD)
.
Acta Diabetol
2016
;
53
:
825
832
[PubMed]
3.
Apelqvist
J
,
Larsson
J
.
What is the most effective way to reduce incidence of amputation in the diabetic foot
?
Diabetes Metab Res Rev
2000
;
16
(
Suppl. 1
):
S75
S83
[PubMed]
4.
Schaper
NC
,
Van Netten
JJ
,
Apelqvist
J
,
Lipsky
BA
,
Bakker
K
;
International Working Group on the Diabetic Foot (IWGDF)
.
Prevention and management of foot problems in diabetes: a Summary Guidance for Daily Practice 2015, based on the IWGDF guidance documents
.
Diabetes Res Clin Pract
2017
;
124
:
84
92
[PubMed]
5.
Jeffcoate
WJ
,
van Houtum
WH
.
Amputation as a marker of the quality of foot care in diabetes
.
Diabetologia
2004
;
47
:
2051
2058
[PubMed]
6.
van Battum
P
,
Schaper
N
,
Prompers
L
, et al
.
Differences in minor amputation rate in diabetic foot disease throughout Europe are in part explained by differences in disease severity at presentation
.
Diabet Med
2011
;
28
:
199
205
[PubMed]
7.
Gregg
EW
,
Li
Y
,
Wang
J
, et al
.
Changes in diabetes-related complications in the United States, 1990-2010
.
N Engl J Med
2014
;
370
:
1514
1523
[PubMed]
8.
Li
Y
,
Burrows
NR
,
Gregg
EW
,
Albright
A
,
Geiss
LS
.
Declining rates of hospitalization for nontraumatic lower-extremity amputation in the diabetic population aged 40 years or older: U.S., 1988-2008
.
Diabetes Care
2012
;
35
:
273
277
9.
Benoit
SR
,
Zhang
Y
,
Geiss
LS
,
Gregg
EW
,
Albright
A
.
Trends in diabetic ketoacidosis hospitalizations and in-hospital mortality - United States, 2000-2014
.
MMWR Morb Mortal Wkly Rep
2018
;
67
:
362
365
[PubMed]
10.
Burrows
NR
,
Li
Y
,
Gregg
EW
,
Geiss
LS
.
Declining rates of hospitalization for selected cardiovascular disease conditions among adults aged ≥35 years with diagnosed diabetes, U.S., 1998-2014
.
Diabetes Care
2018
;
41
:
293
302
[PubMed]
11.
Burrows
NR
,
Hora
I
,
Geiss
LS
,
Gregg
EW
,
Albright
A
.
Incidence of end-stage renal disease attributed to diabetes among persons with diagnosed diabetes - United States and Puerto Rico, 2000-2014
.
MMWR Morb Mortal Wkly Rep
2017
;
66
:
1165
1170
[PubMed]
12.
Seeman
T
,
Thomas
D
,
Merkin
SS
,
Moore
K
,
Watson
K
,
Karlamangla
A
.
The Great Recession worsened blood pressure and blood glucose levels in American adults
.
Proc Natl Acad Sci U S A
2018
;
115
:
3296
3301
[PubMed]
13.
Overview of the National (Nationalwide) Inpatient Sample (NIS) [Internet], 2017. Available from https://www.hcup-us.ahrq.gov/nisoverview.jsp. Accessed 30 October 2018
14.
National Health Interview Survey: methods [Internet], 2016. Available from http://www.cdc.gov/nchs/nhis/methods.htm. Accessed 1 September 2016
15.
Joinpoint trend analysis software [Internet]. Available from https://analysistools.nci.gov/jpsurv/. Accessed 30 October 2018
16.
Ashry
HR
,
Lavery
LA
,
Armstrong
DG
,
Lavery
DC
,
van Houtum
WH
.
Cost of diabetes-related amputations in minorities
.
J Foot Ankle Surg
1998
;
37
:
186
190
[PubMed]
17.
Petrakis
I
,
Kyriopoulos
IJ
,
Ginis
A
,
Athanasakis
K
.
Losing a foot versus losing a dollar; a systematic review of cost studies in diabetic foot complications
.
Expert Rev Pharmacoecon Outcomes Res
2017
;
17
:
165
180
[PubMed]
18.
Cowie
CC
,
Rust
KF
,
Byrd-Holt
DD
, et al
.
Prevalence of diabetes and high risk for diabetes using A1C criteria in the U.S. population in 1988-2006
.
Diabetes Care
2010
;
33
:
562
568
Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at http://www.diabetesjournals.org/content/license.