Skip to main content
Download PDF
Download ePub

Time trends (2001–2019) and sex differences in incidence and in-hospital mortality after lower extremity amputations among patients with type 1 diabetes in Spain

Cardiovascular Diabetology volume 21, Article number: 65 (2022) Cite this article

Abstract

Background

We examined trends in incidence (2001–2019), clinical characteristics, and in-hospital outcomes following major and minor lower extremity amputations (LEAs) among type 1 diabetes mellitus (T1DM) patients in Spain and attempted to identify sex differences.

Methods

Retrospective cohort study using data from the Spanish National Hospital Discharge Database. We estimated the incidence of the LEA procedure stratified by type of LEA. Joinpoint regression was used to estimate incidence trends, and logistic regression was used to estimate factors associated with in-hospital mortality (IHM).

Results

LEA was coded in 6011 patients with T1DM (66.4% minor and 33.6% major). The incidence of minor LEA decreased by 9.55% per year from 2001 to 2009 and then increased by 1.50% per year, although not significantly, through 2019. The incidence of major LEA decreased by 13.39% per year from 2001 to 2010 and then remained stable through 2019. However, incidence increased in men (26.53% per year), although not significantly, from 2017 to 2019. The adjusted incidence of minor and major LEA was higher in men than in women (IRR 3.01 [95% CI 2.64–3.36] and IRR 1.85 [95% CI 1.31–2.38], respectively). Over the entire period, for those who underwent a minor LEA, the IHM was 1.58% (2.28% for females and 1.36% for males; p = 0.045) and for a major LEA the IHM was 8.57% (10.52% for females and 7.59% for males; p = 0.025).

IHM after minor and major LEA increased with age and the presence of comorbid conditions such as peripheral arterial disease, ischemic heart disease or chronic kidney disease. Female sex was associated with a higher IHM after major LEA (OR 1.37 [95% CI 1.01–1.84]).

Conclusions

Our data show a decrease in incidence rates for minor and major LEA in men and women with T1DM and a slight, albeit insignificant, increase in major LEA in men with T1DM in the last two years of the study. The incidence of minor and major LEA was higher in men than in women. Female sex is a predictor of IHM in patients with T1DM following major LEA.

Background

Lower extremity amputation (LEA) is a major complication of diabetes and is associated with low quality of life and higher risk of short-term mortality [1]. People with type 1 diabetes mellitus (T1DM) have a higher risk of LEA [2]. A recent study showed a 40-fold greater risk of amputation in patients with T1DM than in the general population [3]. The risk of LEA in patients with T1DM is a result of the combination of several conditions whose key contributing factors include ageing, male sex, cardiovascular comorbidities, hyperglycaemia, hypertension, and hyperlipidaemia [2, 4].

Rates of LEA among adults with diabetes are an important index of comprehensive diabetes care. Population-based studies in Spain showed that the number of T1DM-related LEAs decreased between 2001 and 2008 and then remained stable through 2012 [5, 6]. A Swedish study also reported a decrease in the frequency of amputations in patients with T1DM between 2017 and 2019 [4]. Similar findings have been reported in Denmark [7]. However, a study performed in the United States found an increase in diabetes-related LEAs, predominantly among younger patients (aged 18–44 years) and middle-aged patients (45–64 years) [8].

Sex differences may play an active role in incidence and outcomes among patients with diabetes following LEA. Several studies indicate that male sex is associated with a higher incidence rate than female sex [5, 6, 9], although female sex is an independent predictor of surgical site infection and in-hospital mortality (IHM) following LEA [6, 10]. Data regarding the results of hospitalization following LEA among men and women with T1DM are scarce.

Reliable epidemiological data on trends related to LEA, sex differences, and associated mortality are useful for assessing whether the quality of care for people with T1DM has improved and for informing health policy makers and healthcare providers of where additional resources may be required to fill the care gaps. Therefore, we used administrative data from an entire country over an 18-year period to examine trends in the incidence, clinical characteristics, and in-hospital outcomes of LEA procedures (major and minor) among patients hospitalized with T1DM. We also attempted to identify possible sex differences. Furthermore, we investigated the variables associated with IHM according to the type of LEA.

Methods

Study design, setting, and study population

To achieve the objectives set, a retrospective cohort study was carried out based on hospital discharge reports collected through the Spanish Hospital Discharge Records Database of the Spanish National Health System (RAE-CMBD, Registro de Actividad de Atención Especializada. Conjunto Mínimo Básico de Datos, Registry of Specialized Health Care Activities. Minimum Basic Data Set) for the period running from 1 January 2001 to 31 December 2019. The discharge records are coded based on the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) from 2001 to 2015 and the 10th Revision (ICD-10) from 2016 until the present. Detailed information on RAE-CMBD are available online [11]. For purposes of the study, we excluded data from the year 2016, because this was the year the RAE-CMBD began the conversion from ICD-9 to ICD-10 and, according to the Ministry of Health, some degree of under-coding may be present [12].

The study population included patients with T1DM aged ≥ 18 years with a procedure code for LEA in their discharge records. The ICD-9-CM and ICD-10 codes used to identify the study population are shown in Additional file 1: Table S1. We defined as a minor amputation any LEA distal to the ankle joint and as a major amputation any LEA through or proximal to the ankle joint, as described in a previous study [6].

We excluded patients with a diagnosis code of type 2 diabetes mellitus (T2DM) and all those with traumatic LEAs based on any lower extremity trauma-related code or diagnosis or procedure position (Additional file 1: Table S1).

For patients with multiple LEAs during their stay, only the higher-level LEAs was used in the data analysis.

Study variables

The main study variables were the incidence of major and minor LEAs, clinical characteristics, length of hospital stay (LOHS), and IHM.

Incidence rates were calculated based on the Spanish population with diabetes mellitus grouped by age and sex according to the National Health Surveys conducted for the years 2001/2002, 2003/2004, 2006/2007, 2009/2010, 2011/2012, 2014/2015, and 2016/2017 and based on data from the Di@bet.es Study, which estimated the prevalence of diabetes in the Spanish population [13, 14]. Diabetic populations for the missing years (2005, 2008, 2013, and 2018) were estimated assuming that the growth rate was the same throughout the period.

The patient-level variables analysed included age and clinical condition present at admission or diagnosed during hospitalization. The clinical conditions analysed included those of the Charlson Comorbidity Index (CCI) calculated based on ICD-9 and ICD-10 codes, as described elsewhere [15]. The CCI was analysed as a continuous variable, divided into three categories (0, 1, and ≥ 2) and for each of the following specific conditions included in the index (ischemic heart disease, chronic kidney disease, stroke, heart failure, liver disease, dementia, chronic pulmonary disease, connective tissue disorder, peptic ulcer, cancer or metastatic cancer and, human immunodeficiency virus).

Furthermore, we specifically described and analysed a series of diseases owing to their high prevalence and importance in T1DM patients, as follows: peripheral arterial disease (PAD), infection, peripheral neuropathy, hypertension, and lipid metabolism disorders. (Additional file 1: Table S1). For the first three conditions ICD codes used were based in the recommendations of Lin et al. [16].

Statistical analysis

The period from 2001 to 2019 was divided into six two-year periods: 2001–2003, 2004–2006, 2007–2009, 2010–2012, 2013–2015, and 2017–2019.

Descriptive statistics for continuous variables were reported as mean and standard deviation (SD). We conducted the skewness and kurtosis normality tests (Stata command “sktest”) for CCI and LOHS, finding that these variables are not normally distributed, so for these two variables medians with inter quartile range (IQR) are provided.

Categorical variables were reported as frequency and percentage. We performed this statistical analysis by stratifying LEAs as major and minor.

Continuous variables were compared using the t test (means) or Wilcoxon rank sum test (medians). Categorical variables were compared using the chi-square test.

Incidence was analysed using Poisson regression models adjusted for age. Incidence rate ratios (IRR) were reported with their 95% confidence intervals (95% CI).

We used log joinpoint regression to identify the period in which trends changes in minor and major LEA rates occurred for each year, as well as to estimate the annual percentage of change in each of the periods delimited by the points of change. The analysis started with the minimum number of joinpoints and tested whether the inclusion of one or more joinpoints was statistically significant [17]. In the final model, each joinpoint indicated a significant trend change, and the annual percentage of change was obtained in each of the segments delimited by the joinpoints using the weighted least squares technique. Joinpoint Regression Program, version 4.0.4, was used for the analysis.

We conducted multivariable logistic regression analysis to identify which demographic and clinical conditions present on admission were independently associated with IHM. We constructed models separately for minor LEA and major LEA. The variables included in these models were age, sex, year of admission and all those clinical conditions that showed a significant association with the IHM in the bivariate analysis.

The statistical analysis was conducted using Stata version 14 (Stata, College Station, Texas, USA), and significance was set at p < 0.05 (two-sided).

Ethical aspects

The RAE-CMBD is owned by the Spanish Ministry of Health and can be accessed freely upon request [18]. Given the characteristics of this registry, which is anonymous, and according to Spanish legislation, ethics committee approval was not required.

Results

A total of 6,011 non-traumatic amputations (3,992 minor and 2,019 major, ratio 1.97) were identified in patients aged ≥ 18 years with T1DM in Spain between 2001 to 2019. The proportion of women was 27.31% (1,642).

Trends in incidence, clinical characteristics, and hospital outcomes for patients who underwent a minor LEA procedure

According to the results of the joinpoint analysis, we found that the incidence of sex- and age-adjusted minor LEA procedures in patients with T1DM decreased by 9.55% per year from 2001 to 2009. From 2010 to 2019, they increased by 1.50% per year, although not significantly (Fig. 1A). According to sex, we found that in women with T1DM, the incidence rate decreased by 14.93% per year from 2001 to 2007 and remained stable thereafter (Fig. 1B). Incidence decreased significantly in men by 9.46% per year from 2001 to 2009, with no change from 2009 to 2019 (Fig. 1C).

Fig. 1
figure 1

Joinpoint analysis of annual LEAS in patients with type 1 diabetes in Spain. A Joinpoint analysis of annual minor LEAs in women with T1DM in Spain, 2001–2019. B Joinpoint analysis of annual minor LEAs in men with T1DM in Spain, 2001–2019. C Joinpoint analysis of annual major LEAs in patients with T1DM in Spain, 2001–2019. D Joinpoint analysis of annual major LEAs in women with T1DM in Spain, 2001–2019. E Joinpoint analysis of annual major LEAs in men with T1DM in Spain, 2001–2019. APC: Annual percent change (based on rates that were sex and aged-adjusted using the Spanish National Statistics Institute Census projections) calculated using joinpoint regression analysis. ˆAPC is significantly different from zero (two-side P < 0.05)

Full size image

As can been seen in Table 1, in patients who underwent minor LEAs, a significant increase was observed over time in the prevalence of men (70.94% in 2001/3 vs. 80.13% in 2017/9; p < 0.001).

Table 1 Hospital discharges after minor and major non-traumatic lower extremity amputations among T1DM patients (Spain, 2001–2019)
Full size table

Using the age-adjusted Poisson regression model, we found that the incidence of minor LEA for the period 2001–2019 was 3.01-fold higher among men with T1DM than among women with T1DM (IRR 3.01; 95% CI 2.64–3.36).

The mean age for patients with T1DM who underwent a minor LEA decreased significantly from 62.38 years of age in 2001–3 to 53.12 years of age in 2017–19 (p < 0.001). Overall, comorbidity measured with CCI, increased significantly over time (p < 0.001). Specifically, a significant increment was observed in the prevalence of infection, (19.52% in 2001–6 vs. 23.31% in 2013–19; p < 0.001), peripheral neuropathy, (8.93% in 2001–6 vs. 28.93% in 2013–19; p < 0.001), ischemic heart disease (3.53% in 2001–6 vs. 7.3% in 2013–19; p < 0.001), chronic kidney disease (15.02% in 2001–6 vs. 32.23% in 2013–19; p < 0.001), lipid metabolism disorder (11.63% in 2001–6 vs. 30.48% in 2013–19; p < 0.001) and liver disease, (2.28% in 2001–6 vs. 4.28% in 2013–19; p = 0.002). However, the prevalence of PAD, (76.68% in 2001–6 vs. 50.91% in 2013–19; p < 0.001) and hypertension decreased (30.93% in 2001–6 vs. 30.48% in 2013–19; p = 0.013) (Table 2).

Table 2 Comorbidities among patients with T1DM who had a non-traumatic lower extremity amputation (Spain 2001–2019)
Full size table

Regarding in-hospital outcomes, as can been seen in Table 1, the median LOHS decreased significantly over time (17 days in 2001–3 vs. 14 days in 2017–19; p < 0.001). The IHM was 1.58% throughout the study period, with no significant change over time.

Trends in incidence, clinical characteristics, and hospital outcomes for patients who underwent a major LEA procedure

The joinpoint analysis showed that among patients with T1DM who underwent major LEA procedures, the sex- and age-adjusted major LEA incidence rate decreased by 13.39% per year from 2001 to 2010 (Fig. 1D) and remained stable through 2019. In women with T1DM, the incidence decreased by 9.91% per year over the entire study period (Fig. 1E). In men, it decreased by 16.45% per year from 2001 to 2007 and then decreased by 4.87% per year from 2007 to 2017, although it increased, albeit not significantly (26.53% per year), from 2017 to 2019 (Fig. 1F).

As seen for minor LEAs, there was a significant increase in the proportion of men over time, from 63.49% for the first time period analysed to 77.45% for the last (Table 1).

The age-adjusted Poisson regression model showed that from 2001 to 2019, the incidence of major LEA was 1.85-fold higher among men with T1DM than among women with T1DM (IRR 1.85; 95% CI 1.31–2.38).

From 2001 to 2019, the mean age of patients with T1DM who underwent a major LEA decreased significantly (67.42 years of age vs. 56.46 years of age, p < 0.001). The distribution according to the median CCI showed a significant increase in patients with T1DM (p < 0.001). Patients with T1DM were characterized by an increased prevalence of infection, (12.8% in 2001–6 vs. 18.02% in 2013–19; p < 0.001), peripheral neuropathy, (8.43% in 2001–6 vs. 27.33% in 2013–19; p < 0.001), chronic kidney disease (16.46% in 2001–6 vs. 39.6% in 2013–19; p < 0.001), heart failure (18.39% in 2001–6 vs. 20.4% in 2013–19; p = 0.002), and lipid metabolism disorders (11.08% in 2001–6 vs. 28.51% in 2013–19; p < 0.001) (Table 2). However, the prevalence of PAD (85.87% in 2001–6 vs. 61.19% in 2013–19; p < 0.001) and hypertension (33.84% in 2001–6 vs. 28.125 in 2013–19; p = 0.024) decreased over time (Table 2).

Regarding in-hospital outcomes (Table 1), no significant changes were found over time for LOHS or IHM. Overall, median LOHS was 18 days, and crude IHM was 8.57%.

In-hospital mortality and predictors thereof after nontraumatic LEA

As can been seen in Table 3, after minor and major LEA, crude IHM was higher in older patients, women, and those with more concomitant conditions according to the CCI. After major LEA, IHM was highest when the hospital admission occurred in the 2001–3 period (9.54% in 2001–03 vs. 8% in 2017–19; p < 0.005).

Table 3 In-hospital mortality among patients with T1DM who underwent minor or major non-traumatic lower extremity amputations
Full size table

For minor and major LEA, the IHM was significantly higher among those who suffered PAD, ischemic heart disease, chronic kidney disease and heart failure. Stroke and dementia were associated to increased IHM only after major LEA.

As can be seen in Table 4, after multivariable adjustment, the risk of dying in hospital among patients who underwent minor and major LEA increased with age and the presence of PAD, ischemic heart disease or chronic kidney disease. Higher IHM was associated with female sex (OR 1.37; 95% CI 1.01–1.84) and dementia only after major LEA. Whereas, heart failure increased the risk only for those who underwent a minor LEA.

Table 4 Predictors of in-hospital-mortality among T1DM subjects with minor or major non-traumatic lower extremity amputations
Full size table

Finally, the time trend analysis showed no change in IHM from 2001–3 to 2017–19 in T1DM patients who underwent minor and major LEAs.

Discussion

This nationwide registry and population-based observational study showed a decline in hospital admissions for minor and major LEAs in patients with T1DM from 2001 to 2009–10, with no subsequent changes. However, from 2017 to 2019, the incidence of major LEA seems to have increased among men with T1DM. The incidence rates of minor and major LEA in men with T1DM were higher than in women with T1DM. Female sex is a predictor of IHM in patients with T1DM following major LEA. In the fully adjusted model, women with T1DM had a 37% higher adjusted risk of dying following major LEA than men with T1DM.

According to our database, trends in incidence decreased significantly between 2001 and 2009 for minor LEA (9.55% per year) and between 2001 and 2010 for major LEA (13.39% per year) and subsequently remained stable for major LEA. However, for minor LEA the incidence increased, albeit not significantly, between 2010 and 2019. These findings have been reported elsewhere in Europe [4, 7]. In a population-based cohort study in Sweden, Hallstrom et al. [4] found that the frequency of amputation in patients with T1DM decreased between 1998 and 2019 and concluded that these changes are possibly related to an increased focus on risk factor management, advanced treatments to optimise glycaemic control, and further enhancements in the armamentarium of multidisciplinary diabetes foot clinics, including an increased use of invasive arterial reperfusion.

Although decreasing rates of LEA may reflect improved care, they may also reflect delayed presentation and early death in patients with foot ulceration or ischemia [19]. Consistent with these findings, the cross-sectional study of patients with T1DM and T2DM by Geiss et al. [8] performed in the USA found an increase in diabetes-related LEA rates between 2009 and 2015. This increment 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 LEAs (from 1.04 [95% CI 0.94–1.13] to 1.34 [95% CI 1.22–1.45]). Furthermore, these increases were more pronounced among the young and middle-aged groups (age 18–64 years), raising concerns that preventive efforts were not reaching certain subgroups of people with diabetes who may have different disease characteristics and needs [8]. It has been suggested that young people with diabetes have less motivation for diabetes self-care than for other life priorities and are also more vulnerable to diabetes-related distress and other mental health problems, which adversely affect disease control and increase the risk of complications [20]. Regarding this point, the non-significant increase observed in the incidence of LEA in men with T1DM in recent years should be closely monitored to identify a possible change in trend.

As we expected, our results show a high ratio of minor LEA to major LEA among patients with T1DM, possibly because of more conservative limb salvage procedures and increasingly more aggressive treatment of peripheral arterial disease in this population [21].

The results of the present study are in line with those found in the literature, namely, an increasing male predominance in minor and major LEAs [2, 4, 6, 21]. Similar sex differences were reported in a study conducted using data from the IBM Market-Scan research database among patients with T1DM and T2DM [22]. Male sex appears to be a greater risk factor for LEA than age, probably because of the differential sex distribution of risk factors, such as smoking, which were not measured. In addition, the protective role of oestrogen could lead to differences in immune system function between males and females. Finally, the biological factors of diabetic foot ulcer, peripheral vascular disease, coronary artery disease, and peripheral neuropathy might account for the significant sex difference in the amputation rates [23, 24].

While the results of the present study indicate that hypertension decreased over time, the frequency of chronic kidney disease and lipid metabolism disorders increased in patients who underwent minor and major LEA. The association between LEA and person-level risk factors in individuals with T1DM has been studied elsewhere [2, 4, 22, 25]. Hallstrom et al. [4] recently described cardiovascular comorbidities, renal dysfunction, increased HbA1c, hypertension, and smoking to be associated with an increased risk of amputation in patients with T1DM.

IHM rates for minor and major LEAs did not change significantly between 2001 and 2019. The current results reinforce those previously found in Spain for the period between 2001 and 2012 [6]. This lack of improvement over time should be investigated to identify possible explanations and implement protective measures.

During admission for major LEA, women with T1DM had a higher IHM, which remained unchanged after the multivariable regression analysis. Results on the influence of sex on IHM following LEA are contradictory. Various studies found that amputation was more frequent in men than in women [25]; however, female sex was a predictor of in-hospital mortality after LEA in a previous study in Spain [6]. Gurney et al. [26] found little difference between the sexes in terms of the adjusted risk of postoperative mortality (90 days) and concluded that female patients who undergo amputation are similar to their male counterparts in terms of the underlying risk factors for postoperative mortality.

Gender differences in glucose control in T1DM subjects, with women showing a worst glucose control possibly due to pathophysiologic differences rather than the care provided, could also contribute to the differences observed [27].

It has been repeatedly demonstrated that the presence of diabetes increases the risk burden for cardiovascular complications among females. The mechanisms involved in the excess risk for vascular complications due to diabetes in females are the object of discussion and investigation and include hormonal factors, genetic predisposition linked to sex dimorphism, and sex-related inequalities in treatment or socio-economic status, which individually or together seem to contribute to the higher incidence in females [28, 29]. Indeed, in Spain, a sex gap has been reported in the impact of diabetes on IHM after major cardiovascular events [30]. The multifactorial causes for excess risk among women with T1DM require further investigation.

In our investigation, as reported in previous studies, the comorbidities that were significant predictors for death after LEA included PAD, ischemic heart disease or chronic kidney disease [31,32,33,34]. Morbach et al., found that the long-term survival after LEA is poor, especially among people with diabetes with concomitant PAD, renal insufficiency or the combination of both [31]. Diabetic patients with PAD, compared with those without PAD, have a higher risk of cardiovascular and all-cause mortality [32].

Interestingly, in our study neuropathy was not significantly associated with death as reported before [31]. Even more, Cascini et al. reported a protective effect of neuropathy on mortality after major LEA. We agree with these authors that a possible explanation is a differential under-reporting in hospital charts of peripheral neuropathy [33]. Indeed, the diagnosis of neuropathy is a complex process and requires expertise that is not always available [33].

The strength of our study lies in its large sample size (6,011 nontraumatic LEA procedures in patients with T1DM), coverage of an entire country (> 95% of all hospital admissions), and standardized methodology (extensively used for research in Spain, combined with the reliability of diabetes and LEA coding in the RAE-CMBD) [5, 6, 30]. Nevertheless, our study is subject to a series of limitations. Our data were obtained from an administrative database supported by the information that physicians recorded in the discharge report; therefore, the database lacks information on clinical characteristics, glycaemic control, medical treatments, and time with T1DM. Another limitation is that anonymity precludes the extraction of specific data that may affect the results (i.e., people who moved from one hospital to another could appear twice). However, Buckley et al. [35] detected high levels of agreement between hospital discharge data and medical records for LEA and diabetes and suggested that hospital discharge data are sufficiently reliable for monitoring trends in LEA in people with diabetes. In our opinion, the strengths of this study and its uniqueness clearly outweigh its limitations.

Conclusions

In conclusion, our data show a decrease in the incidence of minor and major LEA in men and women with T1DM and a slight but not significant increase in the incidence of major LEA in men with T1DM during the last years of the study. This possible change in the time trends must be closely followed in the future. The incidence of minor and major LEA was higher in men than in women. Female sex is a predictor of IHM in patients with T1DM following major LEA. As the study was based on administrative data, we lack relevant clinical data, thus making it necessary to take into account the effect of residual confounding. Our results should be interpreted with caution and confirmed using data from clinical studies. However, our results should be the starting point for future investigations that can confirm or reject our conclusions using more extensive and precise clinical data.

Availability of data and materials

According to the contract signed with the Spanish Ministry of Health and Social Services, which provided access to the databases from the Spanish National Hospital Database (Conjunto Mínimo Basico de Datos; CMBD), we cannot share the databases with any other investigator, and we have to destroy the databases once the investigation has concluded. Consequently, we cannot upload the databases to any public repository. However, any investigator can apply for access to the databases by filling out the questionnaire available at http://www.mscbs.gob.es/estadEstudios/estadisticas/estadisticas/estMinisterio/SolicitudCMBDdocs/Formulario_Peticion_Datos_CMBD.pdf. (Accessed on 9 September 2021) All other relevant data are included in the paper.

References

  1. Stern JR, Wong CK, Yerovinkina M, Spindler SJ, See AS, Panjaki S, et al. A meta-analysis of long-term mortality and associated risk factors following lower extremity amputation. Ann Vasc Surg. 2017;42:322–7. https://doi.org/10.1016/j.avsg.2016.12.015.

    Article  PubMed  Google Scholar 

  2. Jonasson JM, Ye W, Sparén P, Apelqvist J, Nyrén O, Brismar K. Risks of nontraumatic lower-extremity amputations in patients with type 1 diabetes: a population-based cohort study in Sweden. Diabetes Care. 2008;31:1536–40. https://doi.org/10.2337/dc08-0344.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ólafsdóttir AF, Svensson AM, Pivodic A, Gudbjörnsdottir S, Nyström T, Wedel H, et al. Excess risk of lower extremity amputations in people with type 1 diabetes compared with the general population: amputations and type 1 diabetes. BMJ Open Diabetes Res Care. 2019;7:e000602. https://doi.org/10.1136/bmjdrc-2018-000602.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Hallström S, Svensson AM, Pivodic A, Ólafsdóttir AF, Löndahl M, Wedel H, et al. Risk factors and incidence over time for lower extremity amputations in people with type 1 diabetes: an observational cohort study of 46,088 patients from the Swedish National Diabetes Registry. Diabetologia. 2021;64:2751–61. https://doi.org/10.1007/s00125-021-05550-z.

    Article  PubMed  PubMed Central  Google Scholar 

  5. López-de-Andrés A, Martínez-Huedo MA, Carrasco-Garrido P, Hernández-Barrera V, Gil-de-Miguel A, Jiménez-García R. Trends in lower-extremity amputations in people with and without diabetes in Spain, 2001–2008. Diabetes Care. 2011;34:1570–6. https://doi.org/10.2337/dc11-0077.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Lopez-de-Andres A, Jiménez-García R, Aragón-Sánchez J, Jiménez-Trujillo I, Hernández-Barrera V, Méndez-Bailón M, et al. National trends in incidence and outcomes in lower extremity amputations in people with and without diabetes in Spain, 2001–2012. Diabetes Res Clin Pract. 2015;108:499–507. https://doi.org/10.1016/j.diabres.2015.01.010.

    Article  PubMed  Google Scholar 

  7. Røikjer J, Jensen MH, Vestergaard P, Sørensen AM, Laursen HVB, Ejskjaer N. Twenty years with diabetes and amputations: a retrospective population-based cohort study. Diabet Med. 2020;37:2098–108. https://doi.org/10.1111/dme.14251.

    Article  PubMed  Google Scholar 

  8. Geiss LS, Li Y, Hora I, Albright A, Rolka D, Gregg EW. Resurgence of diabetes-related nontraumatic lower-extremity amputation in the young and middle-aged adult U.S. population. Diabetes Care. 2019;42:50–4. https://doi.org/10.2337/dc18-1380.

    Article  PubMed  Google Scholar 

  9. Kamitani F, Nishioka Y, Noda T, Myojin T, Kubo S, Higashino T, et al. Incidence of lower limb amputation in people with and without diabetes: a nationwide 5-year cohort study in Japan. BMJ Open. 2021;11:e048436. https://doi.org/10.1136/bmjopen-2020-048436.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Chahrour MA, Habib JR, El Moheb MN, Cherfan P, Mahmoud D, El Rahyel A, et al. Incidence and predictors of surgical site infection complications in diabetic patients undergoing lower limb amputation. Ann Vasc Surg. 2021;S0890–5096(21):00808–16. https://doi.org/10.1016/j.avsg.2021.09.040.

    Article  Google Scholar 

  11. Ministerio de Sanidad, Consumo y Bienestar Social. Spanish Register of Specialized Care-Basic Minimum Database [Registro de Actividad de Atención Especializada. RAE-CMBD]. Available at https://www.mscbs.gob.es/estadEstudios/estadisticas/cmbdhome.htm . Accessed 7 December 2021.

  12. Gogorcena MA. Equipo de Trabajo RAE-CMBD-CIE10. La adopción de la normativa de codificación CIE-10-ES o cómo hacer de la necesidad virtud [The adoption of the ICD-10-ES codification rules or how to make of necessity a virtue]. Rev Calid Asist. 2017;32:1–5. https://doi.org/10.1016/j.cali.2016.12.001.

    Article  CAS  PubMed  Google Scholar 

  13. Soriguer F, Goday A, Bosch-Comas A, Bordiú E, Calle-Pascual A, Carmena R, et al. Prevalence of diabetes mellitus and impaired glucose regulation in Spain: the Di@bet.es Study. Diabetologia. 2012;55:88–93. https://doi.org/10.1007/s00125-011-2336-9.

    Article  CAS  PubMed  Google Scholar 

  14. Ministerio de Sanidad, Consumo y Bienestar Social. [Encuesta Nacional de Salud de España]; Available at https://www.mscbs.gob.es/estadEstudios/estadisticas/encuestaNacional/ . Accessed 7 December 2021

  15. Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–9. https://doi.org/10.1097/01.mlr.0000182534.19832.83.

    Article  PubMed  Google Scholar 

  16. Lin CW, Armstrong DG, Lin CH, Liu PH, Hung SY, Lee SR, et al. Nationwide trends in the epidemiology of diabetic foot complications and lower-extremity amputation over an 8-year period. BMJ Open Diabetes Res Care. 2019;7:e000795. https://doi.org/10.1136/bmjdrc-2019-000795.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000;19:335–51. https://doi.org/10.1002/(sici)1097-0258(20000215)19:3%3c335::aid-sim336%3e3.0.co;2-z.

    Article  CAS  PubMed  Google Scholar 

  18. Ministerio de Sanidad, Consumo y Bienestar Social. Solicitud de Extracción de Datos—Extraction Request (Spanish National Hospital Discharge Database). Available at https://www.mscbs.gob.es/estadEstudios/estadisticas/estadisticas/estMinisterio/SolicitudCMBDdocs/2018_Formulario_Peticion_Datos_RAE_CMBD.pdf. Accessed 9 September 2021.

  19. Jeffcoate WJ, Harding KG. Diabetic foot ulcers. Lancet. 2003;361:1545–51.

    Article  Google Scholar 

  20. Ke C, Lau E, Shah BR, Stukel TA, Ma RC, So WY, et al. Excess burden of mental illness and hospitalization in young-onset type 2 diabetes: a population-based cohort study. Ann Intern Med. 2019;170:145–54. https://doi.org/10.7326/M18-1900.

    Article  PubMed  Google Scholar 

  21. Wu H, Yang A, Lau ESH, Ma RCW, Kong APS, Chow E, et al. Secular trends in rates of hospitalisation for lower extremity amputation and 1 year mortality in people with diabetes in Hong Kong, 2001–2016: a retrospective cohort study. Diabetologia. 2020;63:2689–98. https://doi.org/10.1007/s00125-020-05278-2.

    Article  PubMed  Google Scholar 

  22. Déruaz-Luyet A, Raabe C, Garry EM, Brodovicz KG, Lavery LA. Incidence of lower extremity amputations among patients with type 1 and type 2 diabetes in the United States from 2010 to 2014. Diabetes Obes Metab. 2020;22:1132–40. https://doi.org/10.1111/dom.14012.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Peek ME. Gender differences in diabetes-related lower extremity amputations. Clin Orthop Relat Res. 2011;469:1951–5. https://doi.org/10.1007/s11999-010-1735-4.

    Article  PubMed  Google Scholar 

  24. Ferranti KM, Osler TM, Duffy RP, Stanley AC, Bertges DJ. Vascular study group of New England Association between gender and outcomes of lower extremity peripheral vascular interventions. J Vasc Surg. 2015;62:990–7. https://doi.org/10.1016/j.jvs.2015.03.066.

    Article  PubMed  Google Scholar 

  25. Shin JY, Roh SG, Lee NH, Yang KM. Influence of epidemiologic and patient behavior-related predictors on amputation rates in diabetic patients: systematic review and meta-analysis. Int J Low Extrem Wounds. 2017;16:14–22. https://doi.org/10.1177/1534734617699318.

    Article  PubMed  Google Scholar 

  26. Gurney JK, Stanley J, Rumball-Smith J, York S, Sarfati D. Postoperative death after lower-limb amputation in a national prevalent cohort of patients with diabetes. Diabetes Care. 2018;41:1204–11. https://doi.org/10.2337/dc17-2557.

    Article  PubMed  Google Scholar 

  27. Manicardi V, Russo G, Napoli A, Torlone E, Li Volsi P, et al. Gender-disparities in adults with type 1 diabetes: more than a quality of care issue .A cross-sectional observational study from the amd annals initiative. PLoS ONE. 2016;11(10):e0162960.

    Article  Google Scholar 

  28. Rossi MC, Cristofaro MR, Gentile S, Lucisano G, Manicardi V, Mulas MF, et al. Sex disparities in the quality of diabetes care: biological and cultural factors may play a different role for different outcomes: a cross-sectional observational study from the AMD Annals initiative. Diabetes Care. 2013;36:3162–8. https://doi.org/10.2337/dc13-0184.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Policardo L, Seghieri G, Francesconi P, Anichini R, Franconi F, Del Prato S. Gender difference in diabetes related excess risk of cardiovascular events: when does the “risk window” open? J Diabetes Complications. 2017;31:74–9. https://doi.org/10.1016/j.jdiacomp.2016.09.010.

    Article  PubMed  Google Scholar 

  30. de Miguel-Yanes JM, Jiménez-García R, Hernández-Barrera V, Méndez-Bailón M, de Miguel-Díez J, Lopez-de-Andrés A. Impact of type 2 diabetes mellitus on in-hospital-mortality after major cardiovascular events in Spain (2002–2014). Cardiovasc Diabetol. 2017;16:126. https://doi.org/10.1186/s12933-017-0609-4.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Morbach S, Furchert H, Gröblinghoff U, Hoffmeier H, Kersten K, Klauke GT, et al. Long-term prognosis of diabetic foot patients and their limbs: amputation and death over the course of a decade. Diabetes Care. 2012;35:2021–7. https://doi.org/10.2337/dc12-0200.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Nativel M, Potier L, Alexandre L, Baillet-Blanco L, Ducasse E, Velho G, et al. Lower extremity arterial disease in patients with diabetes: a contemporary narrative review. Cardiovasc Diabetol. 2018;17:138. https://doi.org/10.1186/s12933-018-0781-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Cascini S, Agabiti N, Davoli M, Uccioli L, Meloni M, Giurato L, et al. Survival and factors predicting mortality after major and minor lower-extremity amputations among patients with diabetes: a population-based study using health information systems. BMJ Open Diabetes Res Care. 2020;8:e001355. https://doi.org/10.1136/bmjdrc-2020-001355.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Hoffstad O, Mitra N, Walsh J, Margolis DJ. Diabetes, lower-extremity amputation, and death. Diabetes Care. 2015;38:1852–7. https://doi.org/10.2337/dc15-0536.

    Article  PubMed  Google Scholar 

  35. Buckley CM, Kearney PM, Ali F, Bhuachalla CN, Casey C, Roberts G, et al. Concordance studies between hospital discharge data and medical records for the recording of lower extremity amputation and diabetes in the Republic of Ireland. BMC Res Notes. 2013;6:148. https://doi.org/10.1186/1756-0500-6-148.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study is a part of the research funded by the: FIS (Fondo de Investigaciones Sani-tarias—Health Research Fund, Instituto de Salud Carlos III) and co-financed by the European Union through the Fondo Europeo de Desarrollo Regional (FEDER, “Una manera de hacer Europa”): grant no. PI20/00118. By: Universidad Complutense de Madrid. Grupo de Investigación en Epidemiología de las Enfermedades Crónicas de Alta Prevalencia en España (970970) and by: Convenio V-PRICIT de la Comunidad de Madrid y la Universidad Complutense de Madrid (“Programa de Excelencia para el Profesorado Universitario” INV.AY.20.2021.1E126).

Author information

Authors and Affiliations

  1. Department of Public Health & Maternal and Child Health. Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain

    Ana Lopez-de-Andres, Rodrigo Jimenez-Garcia, Ricardo Omaña-Palanco & David Carabantes-Alarcon

  2. Preventive Medicine and Public Health Teaching and Research Unit. Health Sciences Faculty. Rey Juan Carlos University. Alcorcón, Madrid, Spain

    Valentín Hernández-Barrera

  3. Respiratory Care Department, Hospital General Universitario Gregorio Marañón, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain

    Javier de-Miguel-Diez

  4. Internal Medicine Department. Hospital General, Universitario Gregorio MarañónUniversidad Complutense de MadridInstituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain

    José M. de-Miguel-Yanes

Authors
  1. Ana Lopez-de-Andres
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rodrigo Jimenez-Garcia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Valentín Hernández-Barrera
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Javier de-Miguel-Diez
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. José M. de-Miguel-Yanes
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ricardo Omaña-Palanco
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. David Carabantes-Alarcon
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

ALdA and DC-A contributed to the study design and interpretation of the results. RJ-G, VHB, Jd-M-D, JMdM-Y, and RO-P contributed to the collection, analysis, or interpretation of data. ALdA, RJ-G and DC-A prepared the manuscript. VHB, Jd-M-D, JMdM-Y, and RO-P critically revised the manuscript. All authors gave final approval and agreed to be accountable for all aspects of the work, ensuring integrity and accuracy. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Rodrigo Jimenez-Garcia.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

International Classification of Disease, 9th edition (ICD-9-CM) and 10th edition, (ICD-10) codes for the clinical diagnoses and procedures used in this investigation.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lopez-de-Andres, A., Jimenez-Garcia, R., Hernández-Barrera, V. et al. Time trends (2001–2019) and sex differences in incidence and in-hospital mortality after lower extremity amputations among patients with type 1 diabetes in Spain. Cardiovasc Diabetol 21, 65 (2022). https://doi.org/10.1186/s12933-022-01502-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12933-022-01502-y

Keywords

Cardiovascular Diabetology

ISSN: 1475-2840