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Article

Trends of Non-Traumatic Lower-Extremity Amputation and Type 2 Diabetes: Spain, 2001–2019

by
Ana Lopez-de-Andres
1,
Rodrigo Jimenez-Garcia
1,*,
Valentin Hernandez-Barrera
2,
Javier de Miguel-Diez
3,
Jose M. de Miguel-Yanes
4,
Ricardo Omaña-Palanco
1 and
David Carabantes-Alarcon
1
1
Department of Public Health & Maternal and Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28007 Madrid, Spain
2
Preventive Medicine and Public Health Teaching and Research Unit, Health Sciences Faculty, Universidad Rey Juan Carlos, Alcorcón, 28032 Madrid, Spain
3
Respiratory Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, 28007 Madrid, Spain
4
Internal Medicine Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, 28007 Madrid, Spain
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(5), 1246; https://doi.org/10.3390/jcm11051246
Submission received: 18 January 2022 / Revised: 22 February 2022 / Accepted: 23 February 2022 / Published: 25 February 2022
(This article belongs to the Special Issue Diabetes Epidemiology, Prevention and Treatment)
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Abstract

:
(1) Background: To examine trends in the incidence (2001–2019), clinical characteristics and in-hospital outcomes following major and minor non-traumatic lower-extremity amputations (LEAs) among people with type 2 diabetes mellitus (T2DM) in Spain, assessing possible sex differences. (2) Methods: Retrospective cohort study using data from the Spanish National Hospital Discharge Database. Joinpoint regression was used to estimate incidence trends, and multivariable logistic regression to estimate factors associated with in-hospital mortality (IHM). (3) Results: LEA was coded in 129,059 patients with T2DM (27.16% in women). Minor LEAs accounted for 59.72% of amputations, and major LEAs comprised 40.28%. The adjusted incidences of minor and major LEAs were higher in men than in women (IRR 3.51; 95%CI 3.46–3.57 and IRR 1.98; 95%CI 1.94–2.01, respectively). In women, joinpoint regression showed that age-adjusted incidence of minor LEAs remained stable over time, and for major LEAs, it decreased from 2006 to 2019. In men, incidences of minor and major LEAs decreased significantly from 2004 to 2019. In-hospital mortality (IHM) increased with age and the presence of comorbidity, such as heart failure (OR 5.11; 95%CI 4.61–5.68, for minor LEAs and OR 2.91; 95%CI 2.71–3.13 for major LEAs). Being a woman was associated with higher IHM after minor and major LEA (OR 1.3; 95%CI 1.17–1.44 and OR 1.18; 95%CI 1.11–1.26, respectively). (4) Conclusions: Our data showed major sex differences indicating decreasing and increasing LEA trends among men and women, respectively; furthermore, women presented significantly higher IHM after minor and major LEA procedures than men.

1. Introduction

Lower-extremity amputations (LEAs) are a frequent complication suffered by people with type 2 diabetes mellitus (T2DM) and imply loss of quality of life and higher risk of short-term mortality [1]. Rates of LEAs among people with T2DM are a good indicator of the quality of diabetes care [1]. In Spain, the number of T2DM-related major LEAs have decreased between 2001 and 2012 [2,3]. The pooled analysis of studies conducted in 21 countries suggested that the improvement in the quality of diabetes health care has contributed to a positive evolution, with a decline in major LEA rates over the last years [4]. However, for minor LEAs, no significant reductions or even small increments have been reported [4,5].
Sex differences have been described previously in regard to incidence rates and short- and long-term outcomes after LEAs among people with T2DM [2,3,6,7,8,9]. Several studies suggest that men have higher incidence rates than women [2,3,6,7,8], but being a woman is associated with more frequent surgical site infections and a higher risk of dying in the hospital following LEAs [3,9].
Reliable data obtained from national hospital discharge databases can be useful to identify sex differences regarding the trends overtime and the hospital outcomes among people with T2DM. The results of this investigations could help health resource planning and healthcare providers.
Using discharge data from an entire country from 2001 to 2019, the objectives of our investigation were: (i) to examine sex differences in the incidence overtime of major and minor LEAs among people with T2DM; (ii) to assess changes overtime in the clinical profile and in-hospital outcomes in women and men with T2DM who underwent a major or minor LEA; (iii) to identify among people with T2DM the role of sex and other variables in the IHM according to LEA types.

2. Materials and Methods

2.1. Design, Setting and Participants

We conducted a retrospective cohort study. The data source was the records from year 2001 to 2019 collected by the Spanish National Hospital Discharge Database (RAE-CMBD, Registro de Actividad de Atención Especializada. Conjunto Mínimo Básico de Datos, Registry of Specialized Health Care Activities. Minimum Basic Data Set). This registry used the International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) from 2001 to 2015 and the 10th Revision (ICD-10) from 2016 through the end of 2019.
The RAE-CMBD only includes patients who stay in a hospital room for at least 24 h. Therefore, patients seen at the emergency department or outpatient setting were not analyzed in this investigation. Details on RAE-CMBD are available online [10].
For study purposes we excluded data from year 2016, because in this year the RAE-CMBD began the conversion from ICD-9 to ICD-10, and according to the Ministry of Health, some degree of under-codification may exist [11,12].
The study population was stratified by sex and included patients with T2DM aged ≥18 years with a procedure code for LEAs in their discharge records. The ICD-9-CM and ICD-10 codes used to identify the study population are shown in Table S1. We defined as a minor amputation any LEA distal to the ankle joint, and a major amputation as any LEA through or proximal to the ankle joint, as described in a previous study [3].
We excluded patients with a diagnosis code of T1DM and all those with traumatic LEAs (Table S1).
For patients who had more than one LEA conducted during their hospitalization, we selected, for study purposes, the higher-level LEA.

2.2. Study Variables

The main study variables were the incidence of major and minor LEAs among men and women with T2DM, clinical characteristic, length of hospital stay (LOHS) and in- hospital mortality (IHM).
Data from the Spanish National Health Surveys (NHS) conducted in the two year periods 2001/02, 2003/04, 2006/07, 2009/10, 2011/12, 2014/15, 2016/17 and 2019/20, and data from the [email protected] Study were used to obtain the denominators for incidence rates calculations [13,14]. The number of people with diabetes for the years when the NHS was not conducted (2005, 2008, 2013 and 2018) were inferred, assuming that the change in prevalence was linear.
Patient-level variables analyzed included age, sex and clinical conditions prior to hospital admission or first diagnosed during the hospitalization. The clinical conditions analyzed included those of the Charlson Comorbidity Index (CCI) as described elsewhere [15,16]. The CCI was analyzed as a continuous variable. Furthermore, we specifically described and analyzed the following diseases and conditions (Table S1): obesity, peripheral vascular disease, ischemic heart disease, chronic kidney disease, hypertension, stroke, heart failure and lipid metabolism disease due to their high prevalence and importance among people with T2DM.

2.3. Statistical Analysis

For the study purposes, 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.
Mean with standard deviation (SD) or median with interquartile range (IQR); are provided to describe quantitative variables and total frequencies and percentage for categorical variables.
T Student-test, Mann–Whitney test and Chi-square test were conducted for bivariate comparisons. To assess time trends for categorical variables, the Cochran-Armitage tests for trend was used.
We used Joinpoint Regression Program (version 4.0.4) to identify the periods in which trend changes in age-adjusted rates for minor and major LEAs among women and men with T2DM occurred, as well as to estimate the annual percentage of change (APC) in each of the periods delimited by the points of change [17].
Differences according to sex in the incidence rates for LEAs were estimated using age-adjusted Poisson regression.
To assess the independent effect of sex and other study variables on the IHM after LEAs among people with T2DM, we conducted multivariable logistic regression.
The statistical analysis was conducted using Stata version 17 (Stata, College Station, TX, USA), and significance was set at p < 0.05 (two-sided).

2.4. Ethical Aspects

As the RAE-CMBD is a totally anonymized administrative database in accordance with Spanish legislation, it did not require ethics committee approval. The database can be freely accessed upon request [18].

3. Results

In our study, we identified a total of 129,059 LEAs in patients aged ≥18 years with T2DM in Spain between 2001 and 2019. The proportion of women was 27.16% (35,054 non-traumatic amputations). Minor LEA procedures were identified in 77,082 admissions (women accounted for 22.4%) and 51,977 hospitalizations were identified as major LEA procedures (34.16% women).

3.1. Sex Differences in Incidence, Clinical Characteristics, and Hospital Outcomes for People with T2DM who Underwent Minor LEA Procedure

The total incidence of minor LEA procedures was higher (p < 0.001) among men with T2DM (335.23 per 100,000 men with T2DM) than among women with T2DM (89.11 per 100,000 women with T2DM), resulting in an adjusted IRR of 3.51 (95%CI 3.46–3.57).
In patients who underwent minor LEAs, women were significantly older than men (72.33 vs. 67.32 years; p < 0.001) and had less coexisting medical conditions (mean CCI 1.05 vs. 1.14; p < 0.001). Specifically, women had lower prevalence of peripheral vascular disease, ischemic heart disease and lipid metabolism disorder, However, hypertension (51.13% vs. 30.33%; p < 0.001) and heart failure (8.45% vs. 7.26%; p < 0.001) were more frequently codified among women. The median LOHS was 15 days in both women, and men. The crude IHM rate was higher in women than in men with T2DM (3.6% vs. 2.15%; p < 0.001).
Over time, patient age increased significantly only in men with T2DM who underwent minor LEAs (p < 0.001). We found a significant increase over time in comorbidity according to the mean CCI in both sexes (0.97 and 0.84, respectively, in 2001/03 vs. 1.25 and 1.19, respectively, in 2017/19; all p < 0.001). Specifically, an increase was observed in the prevalence of ischemic heart disease, chronic kidney disease, hypertension and heart failure in both groups. In men and women, the prevalence of lipid metabolism disorders was over four times higher in 2017/19 (10.42% and 11.12%, respectively, in 2001/03, vs. 45.94% and 45.95%, respectively, in 2017/19; p < 0.001). However, the prevalence of peripheral vascular disease decreased slightly over time in women (53.06% in 2001/03 vs. 51.51%, in 2017/19; p < 0.010).
In both groups, median LOHS and IHM decreased significantly over time. In men with T2DM, IHM was 2.69% in the period 2001/03, decreasing significantly to 1.87% in 2017/19 (p < 0.001). The same trend was seen in women (p < 0.001), with IHM falling from 3.98% to 2.74% (p < 0.001)., as can been seen in Table 1.

3.2. Sex Differences in Incidence, Clinical Characteristics, and Hospital Outcomes for People with T2DM Who Underwent Major LEA Procedure

We found that the total incidence of major LEAs was higher among men with T2DM (191.85 per 100,000 men with T2DM) than among women (91.51 per 100,000 women with T2DM). The Poisson regression model yielded an adjusted IRR for men of 1.98 (95% CI 1.94–2.01).
When we compared men and women with T2DM who underwent major LEAs, we found that women were older than men (77.34 years vs. 71.61 years; p < 0.001) and had less comorbidity than men (mean CCI 1.33 vs. 1.48; p < 0.001). Women had lower prevalence of peripheral vascular disease, ischemic heart disease, chronic kidney disease and lipid metabolism disorder; however, women had higher prevalence of hypertension (52.47% vs. 44.28%; p < 0.001). The median LOHS was 15 days and 17 days in women and men, respectively. The crude IHM rate was higher in women than in men with T2DM (11.53% vs. 8.8%; p < 0.001), as can been seen in Table 2.
We found that the incidence of major LEA procedure increased slightly from 173.44 per 100,000 men with T2DM in 2001/03 to 178.82 in 2017/19 (p = 0.004). However, in women, the total incidence decreased significantly from 101.12 in 2001/03 to 66.93 per 100,000 women with T2DM in 2017/19 (p < 0.001), as can been seen in Table 2.
Age remained stable over time among men with T2DM, however in women with T2DM it increased significantly (p < 0.001). The CCI increased significantly over time in both men and women (all p < 0.001). As can been seen in Table 2, the prevalence of peripheral vascular disease, chronic kidney disease, hypertension and heart failure increased over time in both men and women with T2DM. As we found for minor LEAs, the prevalence of lipid metabolism disorder in men and women with T2DM was over 5-times higher in 2017/19 (9.2% and 9.18%, respectively, in 2001/03 vs. 45.93% and 45.27%, respectively, in 2017/19; p < 0.001).
As can been seen in Table 2, median LOHS decreased significantly over time in both men and women groups. In men with T2DM, IHM was 9.86% in 2001/03, decreasing significantly to 8% in 2017/19 (p = 0.002). The same trend was seen in women, with IHM falling from 11.11% to 10.14% (p = 0.019).

3.3. Joinpoint Analysis for Women and Men with T2DM Who Underwent Minor and Major Non-Traumatic Lower-Extremity Amputations

According to the results of the joinpoint analysis, we found that the incidence of age-adjusted minor LEA procedures in women with T2DM remained stable from 2001 to 2019 (Figure 1A). Incidence decreased significantly in men by 2.24% per year from 2004 to 2019, with a non-significant increase before 2004 (Figure 1B).
The joinpoint analysis showed that among women with T2DM who underwent major LEAs, the incidence rate showed no significant change from 2001 to 2006, and then decreased significantly by 6.05% per year from 2006 to 2019 (Figure 2A). Men showed a similar trend, with the decline starting in year 2004 with an APC of 3.10% until 2019 (Figure 2B).

3.4. In-Hospital Mortality among People with T2DM after Non-Traumatic Lower-Extremity Amputations According to Sex

As can been seen in Table 3, in men and women after minor and major LEAs, IHM was significantly higher in the older age groups and in those with comorbidities, such as peripheral vascular disease, ischemic heart disease, chronic kidney disease, hypertension, stroke and lipid metabolism disorder. Furthermore, men and women with heart failure had the highest risk of dying after LEAs (for minor LEAs, 10.26% and 14.03%, respectively, and for major LEAs, 19.81% and 25.82%, respectively).
In men and women with T2DM, after minor and major LEAs, IHM was highest when the hospital admission occurred in the 2001–2003 period (Table 3).

3.5. Predictors of Dying in the Hospital among People with T2DM after Non-Traumatic Lower-Extremity Amputations

As can been seen in Table 4, using the entire database including people with T2DM, after multivariable adjustment, the risk of dying in hospital increased with age, ischemic heart disease, chronic kidney disease and stroke among patients who underwent minor and major LEAs. Furthermore, heart failure was the condition that most increased the risk of dying for minor LEAs (OR 5.11; 95%CI 4.61–5.68) and major LEAs (OR 2.91; 95%CI 2.71–3.13).
The time-trend analysis showed a significant decrease in IHM from 2001/03 to 2017/19 in people with T2DM who underwent minor and major LEAs (Table 4).
Finally, higher IHM was associated with being a woman in people with T2DM after minor and major LEAs (OR 1.30; 95%CI 1.17–1.44 and OR 1.18; 95%CI 1.11–1.26, respectively). This means that, after adjusting for possible confounders, women with T2DM who underwent a major or a minor LEAs had a 30% and an 18% higher risk, respectively, of dying during their hospitalization than men with T2DM who underwent these same procedures.
The variables independently associated with IHM among men and women with T2DM who underwent a major or a minor LEA are shown in Table S2. For all these study groups, the risk of dying rose along with age and with the presence of concomitant chronic conditions. Specifically, the highest ORs were found for heart failure, followed by stroke, chronic kidney disease and ischemic heart disease. Improvement overtime was found for men and women who underwent minor LEAs, but only among men with T2DM for major LEAs (Table S2).

4. Discussion

This population-based observational study showed differences according to sex among patients hospitalized with T2DM following a LEA procedure. Incidence rates of minor and major LEAs in men with T2DM were higher than in women with T2DM between years 2001 and 2019. After multivariable adjustment, women with T2DM had a 30% and 18% higher risk of dying in the hospital following minor and major LEAs, respectively, than men with T2DM.
The results of our study agree with others, finding an increasing male predominance in minor and major LEAs [3,19,20,21]. Differences in the prevalence of cardiovascular risk factors, such as tobacco use, the protective effect of estrogen for women, and biological factors of diabetic foot ulcer, peripheral neuropathy and peripheral vascular disease are among the causes proposed to explain these higher rates among T2DM men [21,22,23,24,25,26].
During admission for minor and major LEAs, we found that, before and after multivariable adjustment, women with T2DM had higher IHM than men with T2DM. Furthermore, among women with T2DM who underwent major LEAs, no change in IHM was found overtime. There are no conclusive results so far regarding the association of sex with IHM following LEAs [3,27,28,29]. Wong et al reported that long-term mortality was higher in women, and they explained this result as pertaining to greater age and low physical activity levels among women patients [27]. Gurney et al. [28] reported no sex-difference in postoperative mortality (90 days), even when women who underwent an LEA had a similar distribution of baseline risk factors for postoperative complications. However, among people undergoing vascular surgery, women are usually under-represented, and this can result in lower crude mortality rates. This is misleading, since women have been found to have poorer outcomes after vascular surgery than men [29].
The mechanisms that could explain the higher risk of vascular complications in women with diabetes when compared to men are multifactorial [30,31,32,33,34,35]. Besides hormonal and genetic factors, social factors, such as socio-economic status and inequalities in access to care and treatments have been demonstrated to negatively affect women [30,35]. Indeed, in Spain, IHM after major cardiovascular events has been found to be higher among T2DM women than men [36].
According to joinpoint analysis, trends in incidence decreased significantly for major LEAs in men and women with T2DM, and for minor LEAs only among men. Most, but not all studies, have reported declining rates of LEAs over the last years [4,37,38,39,40]. In Canada, Hussain et al concluded that from 2005 to 2016, the rates of LEAs in people with diabetes have declined slower than other cardiovascular events [41].
As described in the literature, our results show an increasing ratio of minor-to-major LEAs among men and women with T2DM. It has been suggested that this may be due to a more aggressive treatment of peripheral arterial disease, with earlier minor LEAs to prevent major amputations [42].
Non-traumatic LEAs have been associated with high IHM [2,3]. As previously described in the literature, the presence of comorbidities, such as chronic kidney disease and coronary artery disease, increased mortality [43,44]. In the present study age, ischemic heart disease, chronic kidney disease, stroke and heart failure were found to be significant risk factors that increase IHM. Belonging to the oldest age group (≥80 years old) increases the IHM by 15.6 and 3.15 times in minor and major LEAs, respectively, when compared to the youngest group (18–49 years). Many studies have shown that age is a risk factor for mortality [45,46]. We found that the most significant risk factor for IHM among men and women with T2DM who had undergone minor and major LEAs was the presence of heart failure. Similarly, other authors have reported that heart failure is an important risk factor that increases mortality after LEAs [47].
When the entire study population was analyzed, we found significant reduction in the risk of dying in the hospital after major or minor LEAs. Possible reasons for the decrease overtime in IHM after LEAs have been suggested by several authors [48,49,50,51]. The mortality reductions might indicate a more aggressive treatment of comorbidities prior to surgery, and improvements in surgical and perioperative care, which include better management of postoperative complications. Furthermore, the development of a critical pathway approach, multidisciplinary teams and surgical centers specializing in highly specific management of very high risk patients may have also contributed to lower mortality rates [50,51].
A remarkable result of our investigation is that among women and men with T2DM who underwent a LEAs, the prevalence of cardiovascular risk factors and chronic conditions has increased overtime. A recent study conducted in Spain that analyzed the changes in the health profile of people with T2DM from 2007 to 2018 agreed with us, finding an increment in the prevalence of hypertension, dyslipidemia, heart failure, and chronic kidney disease [52]. Suggested explanations for this increase include the aging population, improvement in registration, lowering the limit for hypercholesterolemia diagnosis and the improvement in the quality of care for people with T2DM, which would result in earlier detection of risk factors and chronic conditions and therefore reduce the prevalence [52,53].
The strengths of our study include its high external validity, as we analyzed records from almost all Spanish hospitals for an 18-year period, and the previously reported validity of T2DM and LEA coding in discharge records [3,4,36,54].
Limitations that have to be considered are those derived from the use of administrative databases, such as the lack of data on T2DM characteristics (duration, treatments or glycaemic control), the severity and treatment of concomitant conditions and the impossibility of detecting those patients who had been admitted to different hospitals the same year. Finally, as commented in the methods section, we excluded the year 2016 because the Spanish Ministry of Health made an informative note reporting that some autonomous regions in Spain had not sent their data for that year, due to the change from ICD9 to ICD10 [11,12]. It was estimated that around 5% of hospital admissions were not reported that year, with an unequal geographical distribution. When the statistics for year 2016 were run, we confirmed that some regions had not provided data, and we considered that this could bias our results, so we decided to exclude that year. However, we believe that this limitation would possibly have had very little effect on our main conclusions.

5. Conclusions

In conclusion, in Spain from 2001 to 2019, our data showed major sex differences, indicating decreasing and increasing LEA trends among men and women respectively; furthermore, women presented significantly higher IHM after minor and major LEA procedures than men. Older age and comorbidities, especially heart failure, are associated with higher IHM in men and women with T2DM following minor and major LEA procedures.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/jcm11051246/s1, 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. Table S2. Multivariable analysis of the factors associated with in-hospital mortality for men and women with T2DM hospitalized in Spain from 2001 to 2019 with non-traumatic lower-extremity amputations.

Author Contributions

Conceptualization, A.L.-d.-A., R.J.-G. and D.C.-A.; Data curation, V.H.-B.; J.d.M.-D. and R.O.-P.; Formal analysis, V.H.-B. and J.M.d.M.-Y.; Funding: R.J.-G.; Writing—original draft, A.L.-d.-A., R.J.-G. and D.C.-A.; Writing—review & editing, J.d.M.-D., J.M.d.M.-Y. and R.O.-P. All authors have read and agreed to the published version of the manuscript.

Funding

This study is a part of the research funded by the FIS (Fondo de Investigaciones Sanitarias—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. And by: Universidad Complutense de Madrid. Grupo de Investigación en Epidemiología de las Enfermedades Crónicas de Alta Prevalencia en España (970970).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

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 (RAE-CMBD, Registro de Actividad de Atención Especializada. Conjunto Mínimo Básico de Datos, Registry of Specialized Health Care Activities. Minimum Basic Data Set), 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.msssi.gob.es/estadEstudios/estadisticas/estadisticas/estMinisterio/SolicitudCMBDdocs/Formulario_Peticion_Datos_CMBD.pdf (accessed on 4 January 2022). All other relevant data are included in the paper.

Conflicts of Interest

The authors declare no conflict of interest.

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Jcm 11 01246 g001 550
Figure 1. Joinpoint analysis for minor non-traumatic lower-extremity amputations among people with type 2 diabetes mellitus according to sex. (A) Women, (B) Men.
Figure 1. Joinpoint analysis for minor non-traumatic lower-extremity amputations among people with type 2 diabetes mellitus according to sex. (A) Women, (B) Men.
Jcm 11 01246 g001
Jcm 11 01246 g002 550
Figure 2. Joinpoint analysis for major non-traumatic lower-extremity amputations among people with type 2 diabetes mellitus according to sex. (A) Women, (B) Men.
Figure 2. Joinpoint analysis for major non-traumatic lower-extremity amputations among people with type 2 diabetes mellitus according to sex. (A) Women, (B) Men.
Jcm 11 01246 g002
Table
Table 1. Hospital discharges after minor lower-extremity amputations in Spain among people with T2DM from 2001–2019, according to sex.
Table 1. Hospital discharges after minor lower-extremity amputations in Spain among people with T2DM from 2001–2019, according to sex.
VariableSex2001–20032004–20062007–20092010–20122013–20152017–2019TotalTrend
N (Inc per 100,000)Men6926 (254.77)8376 (306.09)9618 (338.24)10,633 (351.85)11,593 (362.22)12,642 (381.49)59,788 (335.23)<0.001
Women2661 (83.49)2850 (89.34)2935 (91.54)3082 (95.31)2915 (89.4)2851 (85.61)17,294 (89.11)0.326
Age, Mean (SD)Men67.17 (10.65)66.89 (11)67.32 (11.13)67.22 (11.23)67.31 (11.19)67.81 (10.95)67.32 (11.05)<0.001
Women71.81 (10.75)71.91 (11.07)72 (11.89)72.52 (11.73)73.23 (12.02)72.48 (12.27)72.33 (11.66)<0.001
CCI, Mean (SD)Men0.97 (0.86)1.04 (0.9)1.11 (0.93)1.17 (0.95)1.23 (0.96)1.25 (1.07)1.14 (0.96)<0.001
Women0.84 (0.77)0.96 (0.88)1.01 (0.88)1.09 (0.89)1.18 (0.91)1.19 (1.03)1.05 (0.91)<0.001
PVD, n (%)Men4085 (58.98)4935 (58.92)5840 (60.72)6512 (61.24)7638 (65.88)6915 (54.7)35,925 (60.09)0.103
Women1412 (53.06)1555 (54.56)1639 (55.84)1843 (59.8)1809 (62.06)1477 (51.81)9735 (56.29)0.010
IHD, n (%)Men966 (13.95)1283 (15.32)1623 (16.87)1966 (18.49)2089 (18.02)2566 (20.3)10,493 (17.55)<0.001
Women303 (11.39)404 (14.18)432 (14.72)429 (13.92)393 (13.48)405 (14.21)2366 (13.68)0.051
CKD, n (%)Men608 (8.78)1008 (12.03)1328 (13.81)1850 (17.4)2288 (19.74)2994 (23.68)10,076 (16.85)<0.001
Women216 (8.12)297 (10.42)407 (13.87)500 (16.22)611 (20.96)747 (26.2)2778 (16.06)<0.001
Hypertension, n (%) Men2128 (30.72)3284 (39.21)4241 (44.09)5013 (47.15)5615 (48.43)6101 (48.26)26,382 (44.13)<0.001
Women1110 (41.71)1374 (48.21)1596 (54.38)1721 (55.84)1579 (54.17)1462 (51.28)8842 (51.13)<0.001
Stroke, n (%)Men287 (4.14)383 (4.57)489 (5.08)567 (5.33)576 (4.97)574 (4.54)2876 (4.81)0.242
Women104 (3.91)153 (5.37)124 (4.22)131 (4.25)139 (4.77)126 (4.42)777 (4.49)0.131
HF, n (%)Men332 (4.79)420 (5.01)630 (6.55)806 (7.58)867 (7.48)1283 (10.15)4338 (7.26)<0.001
Women167 (6.28)209 (7.33)247 (8.42)252 (8.18)287 (9.85)299 (10.49)1461 (8.45)<0.001
Lipid disorders, n (%)Men722 (10.42)1415 (16.89)2320 (24.12)3406 (32.03)4463 (38.5)5808 (45.94)18,134 (30.33)<0.001
Women296 (11.12)514 (18.04)745 (25.38)972 (31.54)1079 (37.02)1310 (45.95)4916 (28.43)<0.001
LOHS, Median (IQR)Men18 (20)17 (19)17 (20)15 (18)14 (17)14 (16)15 (19)<0.001
Women17 (18)16 (18)16 (18)14 (17)14 (16)13 (17)15 (18)<0.001
IHM, N (%)Men186 (2.69)194 (2.32)248 (2.58)224 (2.11)195 (1.68)237 (1.87)1284 (2.15)<0.001
Women106 (3.98)111 (3.89)121 (4.12)98 (3.18)109 (3.74)78 (2.74)623 (3.6)<0.001
N: Number of procedures; Inc: Incidence per 100.000 T2DM; CCI (Charlson Comorbidity Index): Comorbidities included in the Charlson comorbidity index, except diabetes; PVD: Peripheral Vascular Disease; IHD: Ischemic Heart Disease; CKD: Chronic Kidney Disease; HF: Heart Failure; LOHS: Length of hospital stay; IHM: In-hospital mortality.
Table
Table 2. Hospital discharges after major lower-extremity amputations in Spain among people with T2DM in 2001–2019, according to sex.
Table 2. Hospital discharges after major lower-extremity amputations in Spain among people with T2DM in 2001–2019, according to sex.
Sex2001–20032004–20062007–20092010–20122013–20152017–2019TotalTrend
N (Inc per 100,000)Men4715 (173.44)5589 (204.24)6111 (214.91)5951 (196.92)5925 (185.12)5926 (178.82)34,217 (191.85)0.004
Women3223 (101.12)3480 (109.09)3302 (102.98)2946 (91.11)2580 (79.13)2229 (66.93)17,760 (91.51)<0.001
Age, Mean (SD)Men71.34 (10)71.51 (10.22)71.58 (10.41)71.82 (10.62)71.64 (10.67)71.76 (10.47)71.62 (10.42)0.190
Women76.65 (9.15)77.09 (9.09)77.69 (9.59)77.89 (10.07)77.68 (10.35)77.09 (10.73)77.34 (9.77)<0.001
CCI, Mean (SD)Men1.31 (0.93)1.41 (0.98)1.44 (0.98)1.5 (1)1.55 (0.99)1.66 (1.13)1.48 (1.01)<0.001
Women1.17 (0.87)1.26 (0.89)1.28 (0.92)1.38 (0.95)1.44 (0.93)1.52 (1.02)1.33 (0.93)<0.001
PVD, n (%)Men3153 (66.87)3862 (69.1)4278 (70)4201 (70.59)4388 (74.06)3976 (67.09)23,858 (69.73)0.005
Women2022 (62.74)2299 (66.06)2138 (64.75)2025 (68.74)1830 (70.93)1449 (65.01)11,763 (66.23)<0.001
IHD, n (%)Men838 (17.77)1127 (20.16)1223 (20.01)1323 (22.23)1314 (22.18)1404 (23.69)7229 (21.13)<0.001
Women526 (16.32)625 (17.96)582 (17.63)498 (16.9)466 (18.06)401 (17.99)3098 (17.44)0.382
CKD, n (%)Men607 (12.87)890 (15.92)1151 (18.83)1275 (21.42)1480 (24.98)1777 (29.99)7180 (20.98)<0.001
Women344 (10.67)453 (13.02)524 (15.87)571 (19.38)602 (23.33)662 (29.7)3156 (17.77)<0.001
Hypertension, n (%)Men1548 (32.83)2403 (43)2877 (47.08)2765 (46.46)2828 (47.73)2730 (46.07)15151 (44.28)<0.001
Women1408 (43.69)1831 (52.61)1946 (58.93)1636 (55.53)1381 (53.53)1116 (50.07)9318 (52.47)<0.001
Stroke, n (%)Men435 (9.23)546 (9.77)622 (10.18)564 (9.48)577 (9.74)573 (9.67)3317 (9.69)0.760
Women301 (9.34)342 (9.83)321 (9.72)305 (10.35)254 (9.84)173 (7.76)1696 (9.55)0.046
HF, n (%)Men383 (8.12)548 (9.8)597 (9.77)714 (12)679 (11.46)930 (15.69)3851 (11.25)<0.001
Women331 (10.27)377 (10.83)400 (12.11)382 (12.97)283 (10.97)334 (14.98)2107 (11.86)<0.001
Lipid disorders, n (%)Men434 (9.2)912 (16.32)1351 (22.11)1815 (30.5)2187 (36.91)2722 (45.93)9421 (27.53)<0.001
Women296 (9.18)569 (16.35)744 (22.53)900 (30.55)982 (38.06)1009 (45.27)4500 (25.34)<0.001
LOHS, Median (IQR)Men20 (21)19 (21)18 (22)16 (20)15 (18)15 (19)17 (20)<0.001
Women17 (19)16 (18)15 (18)14 (16)14 (15)13 (15)15 (17)<0.001
IHM, N (%)Men465 (9.86)529 (9.47)554 (9.07)507 (8.52)482 (8.14)474 (8)3011 (8.8)0.002
Women358 (11.11)395 (11.35)434 (13.14)344 (11.68)291 (11.28)226 (10.14)2048 (11.53)0.019
N: Number of procedures; Inc: Incidence per 100.000 T2DM; CCI (Charlson Comorbidity Index): Comorbidities included in the Charlson comorbidity index, except diabetes; PVD: Peripheral Vascular Disease; IHD: Ischemic Heart Disease; CKD: Chronic Kidney Disease; HF: Heart Failure; LOHS: Length of hospital stay; IHM: In-hospital mortality.
Table
Table 3. In-hospital mortality for T2DM subjects hospitalized in Spain from 2001 to 2019 with non-traumatic lower-extremity amputations according to sex.
Table 3. In-hospital mortality for T2DM subjects hospitalized in Spain from 2001 to 2019 with non-traumatic lower-extremity amputations according to sex.
Minor LEAsMajor LEAs
Men
n (%)		Women
n (%)		Men
n (%)		Women
n (%)
Age groups (Years) a,b,c,d18–498 (0.24)4 (0.53)36 (4.05)12 (5.08)
50–5972 (0.6)21 (1.16)196 (5.14)63 (8.24)
60–69252 (1.41)50 (1.42)615 (7.18)206 (9.22)
70–79487 (2.71)199 (3.3)1147 (9.13)638 (10.24)
≥80465 (5.35)349 (6.74)1017 (12.13)1129 (13.61)
PVD a,b,c,dPresence891 (2.48)372 (3.82)2019 (8.46)1235 (10.5)
IHD a,b,c,dPresence405 (3.86)151 (6.38)798 (11.04)451 (14.56)
CKD a,b,c,dPresence415 (4.12)165 (5.94)928 (12.92)513 (16.25)
Hypertension a,b,c,dPresence419 (1.59)231 (2.61)1055 (6.96)924 (9.92)
Stroke a,b,c,dPresence135 (4.69)57 (7.34)380 (11.46)254 (14.98)
HF a,b,c,dPresence445 (10.26)205 (14.03)763 (19.81)544 (25.82)
Lipid disorders a,b,c,dPresence261 (1.44)132 (2.69)657 (6.97)391 (8.69)
Year a,b,c,d2001–2003186 (2.69)106 (3.98)465 (9.86)358 (11.11)
2004–2006194 (2.32)111 (3.89)529 (9.47)395 (11.35)
2007–2009248 (2.58)121 (4.12)554 (9.07)434 (13.14)
2010–2012224 (2.11)98 (3.18)507 (8.52)344 (11.68)
2013–2015195 (1.68)109 (3.74)482 (8.14)291 (11.28)
2017–2019237 (1.87)78 (2.74)474 (8)226 (10.14)
PVD: Peripheral Vascular Disease; IHD: Ischemic Heart Disease; CKD: Chronic Kidney Disease; HF: Heart Failure a Significant association of the study variable with in-hospital mortality among men with T2DM after minor non-traumatic lower-extremity amputation. b Significant association of the study variable with in-hospital mortality among women with T2DM after minor non-traumatic lower-extremity amputation. c Significant association of the study variable with in-hospital mortality among men with T2DM after major non-traumatic lower-extremity amputation. d Significant association of the study variable with in-hospital mortality among women with T2DM after major non-traumatic lower-extremity amputation.
Table
Table 4. Multivariable analysis of the factors associated with in-hospital mortality for T2DM subjects hospitalized in Spain from 2001 to 2019 with non-traumatic lower-extremity amputations.
Table 4. Multivariable analysis of the factors associated with in-hospital mortality for T2DM subjects hospitalized in Spain from 2001 to 2019 with non-traumatic lower-extremity amputations.
Minor
OR (95%CI)		Major
OR (95%CI)
Age groups (Years)18–4911
50–592.27 (1.24–4.15)1.3 (0.95–1.79)
60–694.17 (2.33–7.44)1.72 (1.27–2.32)
70–797.52 (4.24–13.35)2.18 (1.62–2.93)
≥8015.6 (8.79–27.7)3.15 (2.35–4.24)
IHDPresence1.61 (1.45–1.8)1.29 (1.2–1.38)
CKDPresence1.6 (1.43–1.79)1.58 (1.47–1.7)
StrokePresence2.06 (1.76–2.42)1.46 (1.33–1.6)
HFPresence5.11 (4.61–5.68)2.91 (2.71–3.13)
Year2001–200311
2004–20060.87 (0.73–1.03)0.98 (0.89–1.09)
2007–20090.9 (0.77–1.06)1.02 (0.92–1.13)
2010–20120.69 (0.58–0.82)0.89 (0.8–0.99)
2013–20150.6 (0.51–0.71)0.87 (0.78–0.97)
2017–20190.54 (0.45–0.64)0.75 (0.67–0.84)
SexWomen1.3 (1.17–1.44)1.18 (1.11–1.26)
IHD: Ischemic Heart Disease; CKD: Chronic Kidney Disease; HF: Heart Failure; OR. Odds Ratio. Calculated using logistic regression models: Odds Ratio (OR). The logistic regression multivariable models were built using “death (yes/no)” as dependent variables.
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Lopez-de-Andres, A.; Jimenez-Garcia, R.; Hernandez-Barrera, V.; de Miguel-Diez, J.; de Miguel-Yanes, J.M.; Omaña-Palanco, R.; Carabantes-Alarcon, D. Trends of Non-Traumatic Lower-Extremity Amputation and Type 2 Diabetes: Spain, 2001–2019. J. Clin. Med. 2022, 11, 1246. https://doi.org/10.3390/jcm11051246

AMA Style

Lopez-de-Andres A, Jimenez-Garcia R, Hernandez-Barrera V, de Miguel-Diez J, de Miguel-Yanes JM, Omaña-Palanco R, Carabantes-Alarcon D. Trends of Non-Traumatic Lower-Extremity Amputation and Type 2 Diabetes: Spain, 2001–2019. Journal of Clinical Medicine. 2022; 11(5):1246. https://doi.org/10.3390/jcm11051246

Chicago/Turabian Style

Lopez-de-Andres, Ana, Rodrigo Jimenez-Garcia, Valentin Hernandez-Barrera, Javier de Miguel-Diez, Jose M. de Miguel-Yanes, Ricardo Omaña-Palanco, and David Carabantes-Alarcon. 2022. "Trends of Non-Traumatic Lower-Extremity Amputation and Type 2 Diabetes: Spain, 2001–2019" Journal of Clinical Medicine 11, no. 5: 1246. https://doi.org/10.3390/jcm11051246

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