Literature DB >> 36146952

Temporal trends in patients with peripheral artery disease influenced by diabetes mellitus in Germany.

Volker H Schmitt1,2, Lukas Hobohm1,3, Markus Vosseler1, Christoph Brochhausen4, Thomas Münzel1,2, Christine Espinola-Klein1, Karsten Keller1,3,5.   

Abstract

INTRODUCTION: In patients with peripheral artery disease (PAD) the presence of diabetes mellitus (DM) is associated with higher morbidity and mortality. Because huge efforts are made to improve medical care of patients with DM including chronic disease programs, the aim of the present study was to investigate temporal trends regarding the clinical burden of DM on PAD patients within a 15-year observational period.
METHODS: We analyzed all patients hospitalized because of PAD between 2005 and 2019 in Germany stratified regarding DM.
RESULTS: Overall, 2 654 871 hospitalizations of PAD patients (865 823 with DM) were included. Hospitalizations based on PAD inclined from 142 778 in 2005 to 190 135 in 2019 (β 3956 per year; 95% confidence interval [CI] 3034-4878, p < .001) with simultaneous increase of hospitalizations of PAD patients with DM (2005: 41609 (29.1%) versus 2019: 65 302 (34.3%); β 2019 per year [95% CI 1593-2446], p < .001). Amputation rates (β -0.42 [95% CI -0.44 to -0.40]; p < .001) as well as in-hospital case-fatality rate (2005: 4.7%, 2019: 2.8%; β -0.64 [95% CI -0.69 to -0.59]; p < .001) decreased in diabetic PAD patients during the observational time. In spite of improved morbidity and mortality in the last years of the observational period, patients with DM still suffered from an increased risk for morbidity and mortality during the observational period compared to nondiabetic PAD patients.
CONCLUSIONS: Despite the progress in DM treatments, DM still was associated with an unfavorable clinical patient profile and remained a substantial risk factor for morbidity and mortality in hospitalized patients with PAD and DM in Germany between 2005 and 2019.
© 2022 The Authors. Journal of Diabetes published by Ruijin Hospital, Shanghai JiaoTong University School of Medicine and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  amputation; atherosclerosis; diabetes mellitus; epidemiology; health services research; peripheral artery disease; time-trends; 动脉粥样硬化; 卫生服务研究; 外周动脉疾病; 截肢; 时间趋势; 流行病学; 糖尿病

Mesh:

Year:  2022        PMID: 36146952      PMCID: PMC9574718          DOI: 10.1111/1753-0407.13316

Source DB:  PubMed          Journal:  J Diabetes        ISSN: 1753-0407            Impact factor:   4.530


INTRODUCTION

Diabetes mellitus (DM) represents an important risk factor for the development of organ damage and cardiovascular disease. As a concomitant disease, DM is associated with increased morbidity and mortality in various ailments. , The worldwide epidemic of DM with its increasing prevalence causes a high disease burden because of micro‐ and macrovascular alteration with resulting elevated risk for cerebrovascular and cardiovascular ischemic events as well as end organ damage, for example, of the kidney. Peripheral artery disease (PAD) is the clinical manifestation of atherosclerosis affecting the lower extremities leading to claudication and is accompanied by elevated risk for limb amputation. PAD is associated with increased loss regarding quality of life, morbidity, and mortality. Currently about 200 million people are affected by PAD worldwide and, similarly to DM, the prevalence of PAD is also increasing. In this context, DM represents a main risk factor for the development of PAD besides smoking and hypercholesterinaemia. Diabetic patients with coronary artery disease (CAD) were shown to have an increased risk also for consisting PAD with raising risk according to severity of CAD. Moreover, patients with PAD and concomitant DM were shown to have a less favorable clinical profile compared to PAD patients without DM and have consecutively a higher risk for death and morbidity including limb amputation. Regarding both, PAD and DM huge efforts have been made in the past decades to improve therapy approaches including the ongoing development of new medication pathways, the improvement of surgical and interventional procedures as well as the implementation of better patient education and medical surveillance strategies into the regular therapy regime to manage not only DM but also PAD. In disease management programs, patients are at constant control of the disease status with improvement of the therapy regime if necessary. , , Regarding the vast impact of DM on PAD and its negative influence concerning morbidity, amputation, and mortality outcome, patients with diabetes represent a group among PAD patients, which requires special attention regarding treatment care and prevention of disease progress. Owing to the immense efforts of the past years to improve outcome of PAD patients, time trend analyses are of crucial interest to evaluate achieved improvements and to identify ongoing challenges. In the present study, temporal trends of PAD patients with and without DM were analyzed in the German Nationwide Sample investigating all patients who were hospitalized between the years 2005 and 2019 because of PAD in Germany. Consecutively, our study represents a time trend assessment of diabetic and nondiabetic PAD patients within an observational period of 15 years.

MATERIALS AND METHODS

We analyzed all hospitalizations of patients with a main diagnosis of PAD (International Classification of Diseases [ICD] code I70.2) in Germany during the observational period between the years 2005 and 2019 (source: Research Data Center (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states, diagnosis related groups (DRG) statistics 2005–2019, and own calculations). Patients' main diagnosis is defined as that diagnosis, which is mainly responsible for patients' hospitalization (admission to the hospital). , In Germany, patients' diagnoses are coded in accordance with the established coding guidelines ICD, 10th Revision with German Modification (ICD‐10‐GM); additionally, diagnostic, surgical as well as interventional procedures are coded by established surgery, diagnostic, and procedures codes (Operationen‐ und Prozedurenschlüssel [OPS codes]). , , The Federal Statistical Office of Germany (Statistisches Bundesamt, Wiesbaden, Germany) gathers all data from all inpatient cases in Germany coded and processed according to the DRG system. In the present study, we selected and included all hospitalizations of patients admitted because of PAD, who were identified by the ICD code I70.2 during the observational period 2005–2019 in Germany. The identified and included hospitalization cases with PAD diagnosis were stratified for the presence of DM (ICD codes E10–E14) and regarding the treatment year. For the analyses, we subdivided the 15‐year observational period into three 5‐year cycles: the first period includes the years 2005–2009, the second period the years 2010–2014, and the third period comprises the years 2015–2019. We analyzed the impact of DM on amputations, in‐hospital case‐fatality, and major adverse cardiac and cerebrovascular events (MACCE) in these PAD patients. Additionally, temporal trends in these patients regarding total numbers, outcomes, and patients' profile were investigated.

Study end points and in‐hospital adverse events

The primary study outcome was defined as in‐hospital death of all causes. The secondary study outcome comprised MACCE (composite outcome of all‐cause in‐hospital death, acute myocardial infarction [ICD code I21], and/or ischemic stroke [ICD code I63]). Furthermore, the frequency of amputations was assessed.

Definitions

Obesity was defined in this study according to the recommendations of the World Health Organization as a body mass index ≥30 kg/m2. Shock as well as cardiopulmonary resuscitation (CPR) were defined in accordance with current European guidelines. , , In this study, major amputations were defined as surgeries with amputations above the ankle (OPS code: 5‐864) and minor amputations as surgeries comprising amputations below the ankle (OPS code: 5‐865). Amputations of the upper extremities and amputations for reasons other than limb ischemia, such as venous ulceration, trauma, and malignancy, were consistently not included in the present analysis. , ,

Ethical aspects

In accordance with German law, an approval by the ethical committee as well as an informed consent of the included patients were not required, because the present study did not involve a direct access of data of individual patients by the study investigators.

Statistical methods

Temporal trends of annual and age‐related hospitalizations of PAD patients and PAD patients with DM as well as relative mortality rate (case‐fatality rate), performed amputations and rate of adverse in hospital events, were calculated on an annual and age‐dependent (age‐decade) basis. Linear regressions were used to assess trends over time and the results are shown as beta (β) with corresponding 95% confidence intervals (CI). As mentioned, we subdivided the 15‐year observational period into three 5‐year cycles (first cycle 2005–2009, second cycle 2010–2014, and third cycle 2015–2019) and compared the three periods. Descriptive statistical comparisons of PAD patients with DM of the three 5‐ear cycles were computed as absolute numbers and corresponding percentages and compared with the help of the Kruskal–Wallis test. The third main part comprised the analysis regarding the impact of DM on in‐hospital adverse events and in‐hospital death in PAD patients in the three different 5‐year cycles performed by the use of univariable and multivariable logistic regression models. The results were presented as odds ratio (OR) and 95% CI. The multivariable regression models were adjusted for age, sex, obesity, cancer, heart failure, coronary artery disease, chronic obstructive pulmonary disease, essential arterial hypertension, acute and chronic kidney disease, atrial fibrillation/flutter, and hyperlipidemia. This epidemiological adjustment approach was chosen in order to reach a widespread independence of these results investigating DM as a predictor for case‐fatality rate and adverse in‐hospital events during hospitalization. Statistical significance was presupposed in case of p‐value <.05 (two‐sided). Statistical analyses were performed with the software SPSS® (version 20.0; SPSS Inc., Chicago, Illinois, USA).

RESULTS

Our study comprised 2 654 871 hospitalizations (54.3% aged ≥70 years, 36.7% females) of patients with PAD in Germany 2005–2019. Of these, 769 226 (29.0%) were treated between 2005 and 2009, 915 253 (34.5%) between 2010 and 2014, and 970 392 (36.5%) during the period between 2015 and 2019. Among these hospitalizations of PAD patients, 865 823 hospitalizations of PAD patients were coded with coprevalence of DM in the observational period 2005–2019.

Temporal trends of hospitalization, accompanying diseases, amputation surgeries, bleeding, and outcome in PAD patients with DM

The total number of hospitalizations of PAD patients increased significantly during the observational period from 142 778 in the year 2005 to 190 135 in 2019 (β 3956 per year [95% CI 3034–4878], p < .001). In parallel, we observed an inclining number of hospitalized PAD patients with DM during the observational period from 41 609 (29.1% of all PAD patients annually) in the year 2005 to 65 302 (34.3% of all PAD patients of this year) in 2019 (β 2019 per year [95% CI 1593–2446], p < .001) (Figure 1A).
FIGURE 1

Temporal trends regarding absolute numbers of hospitalizations due to peripheral artery disease (PAD) and relative rate of PAD with diabetes mellitus (DM) as well as adverse outcomes of PAD patients with DM. (A): Temporal trends regarding absolute numbers of hospitalizations of PAD patients (yellow bars), and proportion of PAD patients with DM related to all PAD patients (orange line) stratified for year. (B): Temporal trends regarding rates of in‐hospital mortality (solid black line) and MACCE (orange line) of PAD patients with DM stratified for year. (C): Temporal trends regarding absolute numbers of hospitalizations of PAD patients (yellow bars), and proportion of PAD patients with DM related to all PAD patients (orange line) stratified for age‐decade. (D): Temporal trends regarding rates of in‐hospital mortality (solid black line) and MACCE (orange line) of PAD patients with DM stratified for age decade. MACCE, major adverse cardiac and cerebrovascular events.

Temporal trends regarding absolute numbers of hospitalizations due to peripheral artery disease (PAD) and relative rate of PAD with diabetes mellitus (DM) as well as adverse outcomes of PAD patients with DM. (A): Temporal trends regarding absolute numbers of hospitalizations of PAD patients (yellow bars), and proportion of PAD patients with DM related to all PAD patients (orange line) stratified for year. (B): Temporal trends regarding rates of in‐hospital mortality (solid black line) and MACCE (orange line) of PAD patients with DM stratified for year. (C): Temporal trends regarding absolute numbers of hospitalizations of PAD patients (yellow bars), and proportion of PAD patients with DM related to all PAD patients (orange line) stratified for age‐decade. (D): Temporal trends regarding rates of in‐hospital mortality (solid black line) and MACCE (orange line) of PAD patients with DM stratified for age decade. MACCE, major adverse cardiac and cerebrovascular events. Additionally, total numbers of PAD patients and the number of PAD patients with DM increased with age, showing a peak in the eighth decade of life (Figure 1C). The age of PAD patients with DM inclined slightly from 2005 to 2019 (β 0.016 [95% CI 0.015–0.017], p < .001), in parallel with the Charlson Index (β 0.127 [95% CI 0.123–0.131]; p < .001) (Figure 2).
FIGURE 2

Temporal trends regarding Charlson comorbidity index in peripheral artery disease (PAD) patients with diabetes mellitus (DM) (mean [solid black line] and SD [dashed line])

Temporal trends regarding Charlson comorbidity index in peripheral artery disease (PAD) patients with diabetes mellitus (DM) (mean [solid black line] and SD [dashed line]) Although the in‐hospital case‐fatality rate increased with age (β 0.58 [95% CI 0.57–0.60]; p < .001) (Figure 1D), fortunately, the in‐hospital case‐fatality rate decreased during the observational period from 4.7% in the year 2005 to 2.8% in the year 2019 in PAD patients with DM (β −0.64 [95% CI −0.69 to −0.59]; p < .001) (Figure 1B). Similarly, the MACCE rate (β −0.604 [95% CI −0.645 to −0.562], p < .001) declined over time and inclined with age decade (β 0.482 [95% CI 0.472–0.492], p < .001). The total number of PAD patients with type 1 diabetes mellitus (T1DM) decreased over time (β −1.43 [95% CI −1.49 to −1.37]; p < .001), whereas those with type 2 diabetes mellitus (T2DM) increased (β 2.27 [95% CI 2.23– 2.32]; p < .001) (Figure 3A). Numbers of PAD patients with T1DM declined with increasing age (β −0.81 [95% CI −0.83 to −0.80]; p < .001), whereas diabetic PAD patients with T2DM (β 0.60 [95% CI 0.59– 0.62]; p < .001) increased with age, as expected (Figure 3C).
FIGURE 3

Temporal trends regarding diabetes mellitus subtype and sex distribution in peripheral artery disease (PAD) patients. (A): Temporal trends regarding diabetes mellitus subtype in hospitalizations of PAD patients stratified for year. (B): Temporal trends regarding sex distribution in hospitalizations of PAD patients with diabetes mellitus stratified for year. (C): Temporal trends regarding diabetes mellitus subtype in hospitalizations of PAD patients stratified for age‐decade. (D): Temporal trends regarding sex distribution in hospitalizations of PAD patients with diabetes mellitus stratified for age decade.

Temporal trends regarding diabetes mellitus subtype and sex distribution in peripheral artery disease (PAD) patients. (A): Temporal trends regarding diabetes mellitus subtype in hospitalizations of PAD patients stratified for year. (B): Temporal trends regarding sex distribution in hospitalizations of PAD patients with diabetes mellitus stratified for year. (C): Temporal trends regarding diabetes mellitus subtype in hospitalizations of PAD patients stratified for age‐decade. (D): Temporal trends regarding sex distribution in hospitalizations of PAD patients with diabetes mellitus stratified for age decade. Importantly, the proportion of female PAD patients with DM decreased from 2005 to 2019 (β −0.301 [95% CI −0.319 to −0.282], p < .001) (Figure 3C) and male sex prevailed in the fourth to eighth age decades of these patients, whereas in the patient group ≥90 years female sex predominated (Figure 3D). Statistically, the proportion of female PAD patients with DM inclined with age (β 0.489 [95% CI 0.484–0.493], p < .001). Regarding the investigated cardiovascular risk factors and comorbidities, particularly, prevalence of hyperlipidemia as well as acute and chronic kidney diseases increased during the observational period (Figure 4A,B) and the peak regarding the frequency of cardiovascular risk factors was between the sixth and eighth age decade, whereas the prevalence of comorbidities inclined with age (Figure 4C,D).
FIGURE 4

Temporal trends regarding cardiovascular risk factors and comorbidities in patients hospitalized due to peripheral artery disease (PAD) with diabetes mellitus. (A): Temporal trends regarding proportion of patients aged ≥70 years and prevalence of cardiovascular risk factors in PAD patients with diabetes mellitus stratified for year. (B): Temporal trends regarding frequency of comorbidities in PAD patients with diabetes mellitus stratified for year. (C): Temporal trends regarding proportion of patients aged ≥70 years and prevalence of cardiovascular risk factors in PAD patients with diabetes mellitus stratified for age‐decade. (D): Temporal trends regarding frequency of comorbidities in PAD patients with diabetes mellitus stratified for age decade. Abbreviation: COPD, chronic obstructive pulmonary disease.

Temporal trends regarding cardiovascular risk factors and comorbidities in patients hospitalized due to peripheral artery disease (PAD) with diabetes mellitus. (A): Temporal trends regarding proportion of patients aged ≥70 years and prevalence of cardiovascular risk factors in PAD patients with diabetes mellitus stratified for year. (B): Temporal trends regarding frequency of comorbidities in PAD patients with diabetes mellitus stratified for year. (C): Temporal trends regarding proportion of patients aged ≥70 years and prevalence of cardiovascular risk factors in PAD patients with diabetes mellitus stratified for age‐decade. (D): Temporal trends regarding frequency of comorbidities in PAD patients with diabetes mellitus stratified for age decade. Abbreviation: COPD, chronic obstructive pulmonary disease. The occurrence of pulmonary embolism (β −0.64 [95% CI −0.89 to −0.40]; p < .001) decreased from 2005 to 2019, whereas, in contrast, the frequency of deep venous thrombosis and/or thrombophlebitis (β −0.07 [95% CI −0.19 to 0.05]; p = .251) as well as the necessity of CPR (β 0.02 [95% CI −0.08 to 0.11]; p = .710) remained unchanged and prevalence of pneumonia (β 0.29 [95% CI 0.23–0.35]; p < .001) as well as shock (β 0.75 [95% CI 0.66–0.84]; p < .001) increased during the observational period (Figure 5A). In particular, the proportion of hospitalizations of PAD patients with DM, who suffered from pneumonia, increased substantially with growing age (Figure 5C).
FIGURE 5

Temporal trends regarding in‐hospital adverse outcomes in patients hospitalized due to peripheral artery disease (PAD) with diabetes mellitus. (A): Temporal trends regarding acute adverse in‐hospital events in PAD patients with diabetes mellitus stratified for year. (B): Temporal trends regarding frequency of bleeding events in PAD patients with diabetes mellitus stratified for year. (C): Temporal trends regarding acute adverse in‐hospital events in PAD patients with diabetes mellitus stratified for age decade. (D): Temporal trends regarding frequency of bleeding events in PAD patients with diabetes mellitus stratified for age decade.

Temporal trends regarding in‐hospital adverse outcomes in patients hospitalized due to peripheral artery disease (PAD) with diabetes mellitus. (A): Temporal trends regarding acute adverse in‐hospital events in PAD patients with diabetes mellitus stratified for year. (B): Temporal trends regarding frequency of bleeding events in PAD patients with diabetes mellitus stratified for year. (C): Temporal trends regarding acute adverse in‐hospital events in PAD patients with diabetes mellitus stratified for age decade. (D): Temporal trends regarding frequency of bleeding events in PAD patients with diabetes mellitus stratified for age decade. The total numbers of PAD patients with DM, in whom an intracerebral bleeding (β −0.45 [95% CI −0.94 to 0.04]; p = .072) occurred and those transfusions of blood constituents administered (β −0.55 [95% CI ‐0.58 to −0.52]; p < .001), decreased, whereas gastrointestinal bleeding events increased (β 0.33 [95% CI 0.20–0.46]; p < .001) over time (Figure 5B). Notably, the prevalence of gastrointestinal basidiobolomycosis inclined distinctly with age (Figure 5D). During the observational period 2005–2019, annual numbers of amputation surgeries (β −0.42 [95% CI −0.44 to −0.40]; p < .001) with minor (β −0.03 [95% CI ‐0.06 to −0.01]; p = .015) and in particular major amputations (β −1.24 [95% CI −1.28 to −11.20]; p < .001) decreased from 2005 to 2019 (Figure 6A). As expected, total numbers of amputations increased with growing age (β 0.22 [95% CI 0.22–0.23]; p < .001) including minor (β 0.17 [95% CI 0.16–0.18]; p < .001) and major amputations (β 0.27 [95% CI 0.26–0.28]; p < .001) (Figure 6B).
FIGURE 6

Temporal trends regarding amputation surgeries in patients with diabetes mellitus (DM) hospitalized due to peripheral artery disease (PAD). (A): Temporal trends regarding amputations in PAD patients with diabetes mellitus stratified for year. (B): Temporal trends regarding amputations in PAD patients with diabetes mellitus stratified for age ‐decade.

Temporal trends regarding amputation surgeries in patients with diabetes mellitus (DM) hospitalized due to peripheral artery disease (PAD). (A): Temporal trends regarding amputations in PAD patients with diabetes mellitus stratified for year. (B): Temporal trends regarding amputations in PAD patients with diabetes mellitus stratified for age ‐decade.

Impact of DM on adverse outcomes of PAD patients

As aforementioned, among the 2 654 871 hospitalizations of patients with PAD in Germany 2005–2019, 865 823 (32.6%) hospitalizations of PAD patients were diagnosed with coprevalence of DM 2005–2019. In all three 5‐year cycles (2005–2009, 2010–2014, 2015–2019), DM was independently associated with adverse outcomes (Figure 7). The impact of DM on in‐hospital case‐fatality was stronger between 2005 and 2009 (OR 1.139 [95% CI 1.108–1.170], p < .001), than between 2010 and 2014 (OR 1.112 [95% CI 1.082–1.142], p < .001) and between 2015 and 2019 (OR 1.059 [95% CI 1.031–1.089], p < .001) (Figure 7).
FIGURE 7

Impact of diabetes mellitus (DM) on the amputations (A), major adverse cardiac and cerebrovascular events (MACCE) (B) and in‐hospital death (C) (univariable and multivariable logistic regression models)

Impact of diabetes mellitus (DM) on the amputations (A), major adverse cardiac and cerebrovascular events (MACCE) (B) and in‐hospital death (C) (univariable and multivariable logistic regression models)

Temporal trends stratified for 5‐year cycles in PAD patients with DM

Among these 865 823 hospitalizations of PAD patients with coprevalence of DM 2005–2019, 228 670 (26.4%) were treated between 2005 and 2009, and 304 016 (35.1%) were hospitalized during the 5‐year cycle between 2010 and 2014; in total, 333 137 PAD patients with DM (39.5%) were treated between 2015 and 2019 (Table 1).
TABLE 1

Patients' characteristics, medical history, presentation, and outcome of the included 865 823 PAD patients with coprevalence of diabetes mellitus

ParametersPAD patients with DM 2005–2009 (n = 228 670; 26.4%)PAD patients with DM 2010–2014 (n = 304 016; 35.1%)PAD patients with DM 2015–2019 (n = 333 137; 39.5%) p‐value
Age ≥ 70 years128 385 (56.1%)185 604 (61.1%)199 209 (59.8%) <.001
Female sex a 83 409 (36.5%)104 479 (34.4%)108 608 (32.6%) <.001
Diabetes mellitus subtypes
Diabetes mellitus type 18420 (3.7%)5549 (1.8%)5849 (1.8%) <.001
Diabetes mellitus type 2212 947 (93.1%)296 368 (97.5%)325 572 (97.7%) <.001
Unknown/uncoded diabetes subtype7303 (3.2%)2099 (0.7%)1716 (0.5%) <.001
Traditional cardiovascular risk factors
Obesity30 784 (13.5%)33 733 (11.1%)38 873 (11.7%) <.001
Essential arterial hypertension148 078 (64.8%)210 780 (69.3%)238 790 (71.7%) <.001
Hyperlipidemia67 059 (29.3%)115 889 (38.1%)148 988 (44.7%) <.001
Comorbidities
Cancer4645 (2.0%)4787 (1.6%)5131 (1.5%) <.001
Coronary artery disease79 268 (34.7%)106 330 (35.0%)123 360 (37.0%) <.001
Heart failure38 177 (16.7%)50 064 (16.5%)55 785 (16.7%) .008
Atrial fibrillation/flutter34 868 (15.2%)56 381 (18.5%)70 935 (21.3%) <.001
Chronic obstructive pulmonary disease16 820 (7.4%)26 930 (8.9%)33 235 (10.0%) <.001
Acute and chronic kidney disease65 524 (28.7%)110 926 (36.5%)133 161 (40.0%) <.001
Anemia39 051 (17.1%)55 184 (18.2%)54 763 (16.4%) <.001
Charlson comorbidity index6.23 ± 1.926.45 ± 2.096.56 ± 2.15 <.001
Amputation treatment
Amputation42 084 (18.4%)49 377 (16.2%)50 833 (15.3%) <.001
Minor amputation26 934 (11.8%)36 000 (11.8%)39 154 (11.8%).538
Major amputation19 847 (8.7%)17 434 (5.7%)15 309 (4.6%) <0.001
Adverse events during hospitalization
In‐hospital death9624 (4.2%)10 666 (3.5%)9939 (3.0%) <.001
MACCE12 900 (5.6%)14 362 (4.7%)13 642 (4.1%) <.001
Cardiopulmonary resuscitation1927 (0.8%)2665 (0.9%)2854 (0.9%).401
Shock1411 (0.6%)2768 (0.9%)3487 (1.0%) <.001
Myocardial infarction3236 (1.4%)3852 (1.3%)3632 (1.1%) <.001
Pulmonary embolism382 (0.2%)378 (0.1%)394 (0.1%) <.001
Deep venous thrombosis or thrombophlebitis1300 (0.6%)1633 (0.5%)1845 (0.6%).305
Pneumonia4681 (2.0%)6544 (2.2%)8191 (2.5%) <.001
Acute kidney injury2967 (1.3%)5807 (1.9%)1302 (3.9%) <.001
Stroke (ischemic or hemorrhagic)2260 (1.0%)1665 (0.5%)1594 (0.5%) <.001
Intracerebral bleeding88 (0.04%)93 (0.03%)98 (0.03%).146
Gastro‐intestinal bleeding975 (0.4%)1392 (0.5%)1720 (0.5%) <.001
Transfusion of blood constituents31 955 (14.0%)40 587 (13.4%)35 589 (10.7%) <.001

Abbreviations: DM, diabetes mellitus; MACCE, major adverse cardiac and cerebrovascular events; PAD, peripheral artery disease.

Statistical significance was presupposed in case of p‐value < .05 (two‐sided).

Information available for 865 774 patients.

Patients' characteristics, medical history, presentation, and outcome of the included 865 823 PAD patients with coprevalence of diabetes mellitus Abbreviations: DM, diabetes mellitus; MACCE, major adverse cardiac and cerebrovascular events; PAD, peripheral artery disease. Statistical significance was presupposed in case of p‐value < .05 (two‐sided). Information available for 865 774 patients. Although more patients aged 70 years and older were treated in the later 5‐year cycles, the proportion of female patients declined from the first to last 5‐year cycle (Table 1). T1DM was more prevalent in 2005–2009 than in the periods 2010–2014 and 2015–2019, whereas proportion of T2DM increased over time. Although the proportion of obesity declined, the other investigated cardiovascular risk factors such as arterial hypertension and hyperlipidemia inclined in the PAD patients with DM (Table 1). The cardiac diseases of coronary artery disease and atrial fibrillation/flutter increased in their prevalence over time. Additionally, the frequency of chronic pulmonary obstructive disease as well as acute and chronic kidney diseases were higher in later years. The proportion of amputations was more than 3% higher during the time frame 2005–2009 compared to 2015–2019. Although the proportion of minor amputations remained unchanged, the rate of major amputation decreased by more than 4% from the first to the last 5‐year cycle. In‐hospital case‐fatality rate and MACCE rate decreased from 2005–2009 to 2015–2019 by more than 1%. In parallel, numbers of myocardial infarctions and strokes declined over time, whereas the prevalence of acute kidney injuries inclined by more than 2.5% (Table 1).

DISCUSSION

The present study represents an elaborate time trend investigation of PAD patients hospitalized between 2005 and 2019 including more than 2.5 million hospitalizations of PAD patients in Germany. The present main findings can be summarized as follows: (a) the annual numbers of hospitalizations for PAD increased significantly during the observational period from 2005 to 2019 in parallel with the annual numbers of PAD patients with DM; (b) age and comorbidity‐burden of PAD patients with DM aggravated over time, whereas MACCE and in‐hospital mortality of PAD patients with DM decreased from 2005 to 2019; (c) although annual numbers of PAD patients with T1DM decreased over time, the portion of T2DM increased; (d) the proportion of female PAD patients with DM decreased from 2005 to 2019; (e) amputation surgeries decreased from 2005 to 2019 driven by declining numbers of major amputations; and (f) compared to patients without diabetes, presence of DM was associated with poor in‐hospital outcome, widely unchanged over time. The present findings of increasing numbers of hospitalizations because of PAD with an elevating amount of PAD patients with concomitant DM is partly in accordance with the contradictory data from the literature. The present data observed an inclining annual number of concomitant DM within hospitalized PAD patients, which underlines the strong connection between DM and PAD. , , Global estimates revealed raising prevalence and a growing burden of disease by PAD. , A study from Ontario, Canada with an investigation period of 14 years until 2019 found no decrease of hospitalized PAD patients with DM. In accordance with our results, the proportion of female PAD patients with DM decreased. In contrast, a UK study found a declining incidence and prevalence of symptomatic PAD in the general population between 2000–2014. The high burden and impact of DM on clinical outcome in PAD patients elucidated in our study is in line with the literature. An Austrian study revealed a 2.5‐fold elevated risk for death within 10 years in patients with PAD and DM compared to nondiabetic PAD patients. In accordance, presence of DM in PAD patients resulted in a 67% increase of long‐term mortality in a recently published meta‐analysis. The present findings also confirm a prior German study on data of a large health incurrence company in which the time period within 2009–2011 was analyzed. Similar to our results, Richter et al identified DM as a substantial risk factor for morbidity and mortality in patients with PAD. These findings were also seen within the considerably broader time scale investigated in the present study. In the literature, it was reported that the risk for lower limb amputation is substantially higher in PAD patients with DM compared to nondiabetic patients. A large Japanese investigation revealed a 10‐ to 15‐fold elevated risk for lower limb amputation caused by DM in the general population, highlighting the general vast impact of DM on amputation risk. In the special group of patients with PAD, the presence of DM is associated with an increased risk for amputation compared to PAD without DM. In our present analysis from Germany on a large PAD cohort, we observed a decrease of amputation rates and especially reduced major amputations were seen also with concomitant DM within the investigation period of 15 years. Two reasons for this positive trend have to be suggested: first, improved wound care and second, the increasing performance of peripheral vascular interventions , including rising numbers of interventions in smaller vessels below the knee. Reduced amputation rates within PAD patients were also seen in an analysis from the United States comprising 2.7 million people suffering from PAD aged older than 65 years: in the observational period from 2000 to 2008 a substantial decrease of major and minor amputations was detected. Further data from the United States revealed a stagnation of amputation rates in patients with PAD and DM from 2009 to 2011 after an observed substantial decrease from 2005 to 2009. An investigation comprising the time period 2015–2019 from the United States confirmed declining major amputation rates but revealed an overall incline of amputation in patients with DM owing to elevated minor amputations. As argued by other aforementioned authors, this was explained by advances in wound therapy and interventional strategies. In line with this, data from Japan found decreasing major and stable rates of minor amputations within the time period from 2013 to 2018. An assessment on the Spanish National Hospital Discharge Database within the time frame 2001–2019 revealed decreasing incidences of lower extremity amputations in patients with T2DM. Remarkably, female sex was associated with higher in‐hospital mortality after amputations in this study. A further investigation of the same study group on long‐term mortality of patients with T2DM after amputation demonstrated higher mortality after lower extremity amputation, whereas male sex was associated with an even higher risk. Decreasing amputation rates in context to DM were also observed in Belgium. Fortunately, no increase of amputations in diabetics related to the COVID‐19 pandemic were found in Canada and England. In contrast to the aforementioned decreasing amputation rates, a study on national population data from Singapore revealed increasing diabetes‐associated annual amputation rates within the observation period from 2008 to 2017. The vast global and ethnic differences concerning risk for DM related to lower extremity complications and amputations were recently shown by different studies. , Data from Germany revealed controversial results regarding outcome and amputation of diabetic PAD patients. German nationwide data comprising the years 2005, 2007 and 2009 demonstrated declining rates of major and inclining minor amputations in PAD patients. Contrarily, in a public health insurance company‐based investigation of the years 2009–2011 inclining amputation rates were found. In line with our findings, the portion of diabetics had increased within the group of PAD patients in this study. A further investigation using data from a large German health insurance company confirmed decreasing rates of major amputation within the observational period of 2008–2016. Of interest, the proportion of diabetics in PAD patients diminished over time in this study. However, potential positive trends regarding amputation rates have to be interpreted with cautious because the sole consideration of PAD with and without DM might be too shallow to evaluate trends and risk for amputation. Humphries et al assessed patients with foot ulcers and demonstrated that, in contrast to overall decreasing amputation rates, the amputation rate of diabetic PAD patients with ulcer nearly tripled from 10% to approximately 30% within the investigation period from 2005 to 2013. Furthermore, Barnes et al recently highlighted that within a decrease of amputations by 40% in the United States between 1996 and 2011, the risk for amputation underlies substantial socioeconomic, ethnic, and racial differences especially in high‐risk patients groups, and also substantial regional varieties are known. , Concerning this, despite the achieved amputation decline, the need for further improvement is elucidated by the association between amputation and elevated mortality in diabetics. , Despite advances in therapy and outcome of PAD patients with and without DM, further effort is required to improve clinical outcome of these patients. For this purpose, regular medical attendance and continuous avoidance or therapy improvement of cardiovascular risk factors as well as patient education are crucial elements to reduce morbidity and mortality in PAD patients especially with DM. , In this context, lifestyle modification and constant physical exercise are crucial elements to maintain health and avoid disease progress as well as disease complications. In a study by Lamberti et al PAD patients with DM performed home‐walking sessions using a structured home‐based exercise program. Compared to the control group, who received only recommendations to perform physical activity and to maintain an active and healthy lifestyle according to current guidelines, in the exercise group significantly reduced mortality, peripheral revascularization, all‐cause hospitalization, and amputations were detected. The study demonstrates the importance of best possible conservative treatment including physical activity and estimates the need for patient education and instruction. Further, because some risk factors like hyperlipidemia and smoking were shown to have diverging impact on PAD and other cardiovascular diseases like CAD, further research is required with an elevated focus on PAD and especially in the context of polyvascular disease to improve understanding of underlying mechanisms and elucidate pathophysiologic parallels as well as differences. , Besides others, the investigation of the role of inflammation in PAD and polyvascular disease development might be promising. The avoidance of cardiovascular risk factors or their best medical treatment is crucial to prevent death and amputations in patients with PAD. In a systemic review by Pastori et al, statin therapy reduced occurrences of mortality and major adverse limb events in PAD patients. The positive effect of statins regarding mortality, MACCE, and amputation was shown even in vulnerable patients with critical limb ischemia. Treatment with statins also significantly improves outcome regarding survival and patency rates in patients after noncardiac vascular surgery and peripheral intervention. Besides statins, also PCSK9 inhibition showed a positive effect on amputation‐free survival of patients with critical limb inschemia. In regard to cardiovascular risk factors, DM represents a crucial hazard for development and progress of PAD as well as amputation risk: As shown by a Japanese study, higher levels of glycosylated hemoglobin (HbA1c) were associated with an increased risk for amputation. Another recent study found patients suffering from PAD and DM to bear a risk of 20% for major adverse cardiovascular events within 2 years, whereby one main reason was a lack of optimal control regarding modifiable risk factors of most patients with PAD and concomitant DM. In avoiding secondary diseases due to DM including vascular complications and amputations, diabetes compensation represents a crucial determinant. However, lifestyle modification including diet and physical activity is in most patients rarely implemented in daily life despite knowledge about the disease and awareness regarding complications. Lower socioeconomic status, which can barely be altered, is associated with an elevated amputation risk in diabetics. Optimal glucose control and diabetes medication like glucagon‐like peptide‐1 receptor agonists have shown beneficial effects on prevention of limb amputation, , whereas sodium glucose cotransporter 2 inhibitors are suspected of increasing the risk for amputation in PAD patients. , Emphasizing the high value of continuous monitoring, a UK study revealed a significant reduction of amputation rates after improving diabetic foot care. Unfortunately, regular medical attendance is often lacking in many DM patients. An alarming study by Rammos et al observing more than 70 million people per year between 2009 and 2018 in Germany revealed a dramatic undersupply of patients with PAD regarding vascular care. The investigation revealed a low level of consultations to vascular specialists, with only 11% consulting a vascular surgeon and only 8% receiving care from an angiologist. Furthermore, despite inclining prescriptions of guideline‐recommended medication, the prescription rate remained inadequate: prescriptions for statins increased from 43% in 2009 to 56% in 2016, and antiplatelet therapy increased from 30% to 48% in the same time frame. Similar findings were seen in the United Kingdom, where prescription rates for the three therapies antiplatelet agents plus angiotensin‐converting enzyme inhibitors or angiotensin receptor blockers plus statin were below 30% within the investigation period between 2000 and 2014. Regarding the even more vulnerable group of PAD patients with concomitant DM, our data emphasize the even more alarming precarious medical care of diabetic PAD patients. Because PAD is common especially in high‐risk groups, it is worrying that even disease awareness was shown to be poor: in a population‐based study 44% of PAD cases were diagnosed only after study inclusion. Furthermore, 51% of primary care physicians caring for people with PAD were not aware of the PAD diagnosis despite documentation in the medical records. Altogether, management of PAD was in general shown to be less intense compared to CAD. Therefore, awareness of PAD has to be improved and PAD patients, especially those with DM, are required to be strictly included to existing medical care programs. The necessity of close attention on PAD patients with DM and interdisciplinary patient care is mirrored by a position paper on the diagnosis and treatment of PAD in patients DM, which was recently published by the German societies of diabetes, angiology and interventional radiology. Various improvements have been made in the last years including medical, interventional, and surgical approaches as well as the development and implementation of disease management programs, patient education, and support in lifestyle modification. However, as mentioned, these modalities by far do not reach all patients who require care and widely simple steps like disease awareness in vulnerable groups are broadly lacking even in first world countries. Guideline‐recommended treatment is often not performed. Although a major amount of knowledge, therapies, caretaking concepts, and patient education programs exist , and would help reduce the disease burden, the implementation is largely insufficient. Furthermore, a large number of patients from poorer countries does not have access to all therapy options including lack of continuous medical monitoring. Hence, on the one hand, indeed further investigation is necessary to improve understanding of underlying disease mechanisms and improve the portfolio of medical and treatment options. Although beneficial treatments concepts already exist, these concepts should be used more widely and consequently implemented in daily routine. Starting with primary prevention and an increased awareness, especially vulnerable groups should be examined and optimally treated for cardiovascular risk factors. In addition, early detection and treatment of complications like wounds by continuous patient monitoring are of outstanding importance. Also, patients' education on maintaining health by best possible adherence to conservative therapy including lifestyle modification and physical exercise is of crucial relevance.

LIMITATIONS

There are certain limitations of our study requiring attention: First, the present study analysis is based and grounded on ICD and OPS discharge codes of hospitalized patients, which might be prone to underreporting as well as undercoding. Regarding this, the specificity and sensitivity of the included diabetic and nondiabetic PAD patients depend on complete and precise coding in the German nationwide inpatient sample administrative database. , Coding practices of the ICD‐10 coding system might differ between hospitals and regions, and financial enticement might influence coding accuracy. , Second, detailed data regarding treatment including medication intake and laboratory markers are not available in the data set of the Federal Statistical Office of Germany. Third, because of the data structure including only the time frame of the in‐hospital stay, follow‐up evaluation after discharge is not possible. Fourth, due to limitation to the time scale of the in‐hospital stay, the German nationwide inpatient sample does not provide data on hospital readmission, death, and adverse events following discharge. , To face consecutive potential bias the logistic regression models were performed using a widespread large adjustment; however, bias of the results due to additional confounders cannot completely be precluded. Fifth, no propensity matched‐score analyses between the three groups of years were performed. Also, the present study includes no subanalysis considering only patients admitted with PAD, DM, and foot/limb ulcers.

FUTURE DIRECTIONS

Despite all efforts of the health care system, the present study elucidated the need for further improvement of medical care of patients with DM and PAD. Regarding PAD, the implementation of a disease screening program may help early detection and treatment of affected patients. Screening for PAD would be easy and not expensive, because the ankle‐brachial index would be sufficient as a screening method. Wounds especially of diabetics and patients with PAD need to undergo an optimal wound management by specially trained staff. This has to be improved because home health care is often hard to find and education of caregivers is diverse regarding wound management.

CONCLUSION

The present time trend analysis revealed improvements in the past years concerning clinical outcome of patients with PAD and concomitant DM. However, despite the achievements of decreased in‐hospital mortality and amputation rates in PAD patients with DM, this group still exhibited a worse clinical patient profile and significantly higher risk regarding morbidity and mortality compared PAD patients without DM in Germany within the period 2005–2019. This remaining huge gap between PAD patients with and without DM regarding morbidity and mortality underlines the need for further improvements to reduce the disease burden especially in the vulnerable group of PAD patients with DM.

CONFLICT OF INTEREST

Volker H. Schmitt, Markus Vosseler, Christoph Brochhausen, Thomas Münzel, and Karsten Keller have no conflicts of interest. Lukas Hobohm reports having received lecture honoraria from MSD. Christine Espinola‐Klein reports having lecture honoraria from Boehringer Ingelheim. Thomas Münzel is principal investigator of the DZHK (German Center for Cardiovascular Research), Partner Site Rhine‐Main, Mainz, Germany.
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