Risk Factors for Major Amputation in Diabetic Foot Ulcer Patients.

BACKGROUND: The purpose of our study was to identify the new and the more specific risk factors for major amputation in patients with diabetic foot ulcer (DFU).
METHODS: We used data from the Electronic Medical Record (EMR) database of our hospital from February 2014 to July 2020. Patients with DFU and amputation were included in the study. The logistic regression model was adjusted for demographic characteristics and related comorbidities between major and minor amputation groups.
RESULTS: Among 3654 patients with DFU, 363 (9.9%) were amputated. Patients with major versus minor amputation, in multivariable logistic regression models, major amputation independent factors included previous amputation history (odds ratio [OR] 2.31 [95% CI 1.17-4.53], p = 0.02), smoking (2.58 [1.31-5.07], p = 0.01), coronary artery disease (CAD) (2.67 [1.35-5.29], p = 0.03), ankle brachial index (ABI) <0.4 (15.77 [7.51-33.13], p < 0.01), Wagner 5 (5.50 [1.89-16.01], p < 0.01), activated partial thromboplastin time (APTT) (1.23 [1.03-1.48], p = 0.01), glycosylated hemoglobin A1c (HbA1c) (1.23 [1.03-1.48], p = 0.03), hemoglobin (Hb) (0.98 [0.96-1.00], p = 0.01), plasma albumin (ALB) (0.88 [0.81-0.95], p < 0.01) and white blood cell (WBC) (1.10 [1.04-1.16], p < 0.01).
CONCLUSION: Major amputation was associated with previous amputation history, smoking, CAD, Wagner 5, ABI <0.4, HbA1c, Hb, ALB, WBC, and APTT might be a new independent factor. In view of these factors, early prevention and guidance promptly orientated by multidisciplinary is of great significance to reduce the disability rate and economic burden.

Introduction

The prevalence of diabetes mellitus (DM) is rising significantly, and the World Health Organization has reported that the estimated number of patients with diabetes was nearly 425 million in 2017, consequently, increasing the number of diabetes-related complications.1 Diabetes prevalence increases with age so the highest estimated prevalence is in people older than 65. In 2019, the estimated number of people with diabetes aged 65–99 years is 135.6 million (19.3%). If this trend continues, the number of people above 65 years (65–99 years) with diabetes will be 195.2 million in 2030 and 276.2 million in 2045.2 Chronic diabetic complications are a serious health concern as well as an economic burden.3 Among complications, it is generally known that diabetic foot ulcer (DFU) is the most frequently recognized complication, which is a kind of disease related to neuropathy and/or peripheral arterial disorder of the lower extremities and with infection, ulceration, and destruc tion of deep tissues in diabetic patients, as a result of the interaction of factors induced by sustained and uncontrolled hyperglycemia.4 DFU is a rising health problem due to increasing prevalence of diabetes worldwide, and treatment of these foot ulcers is challenging because of their multifactorial aetiology, and it places a high burden on patients, healthcare systems and society.5 It is estimated that 15–25% of people with diabetes will be affected by a foot ulcer at some point in their lives.1,6 Recurrence of DFU is also common, with reported rates of 30–40% within 1 year after DFU healing.7 The risk of death at 5 years for a patient with a DFU is 2.5 times as high as the risk for a patient with diabetes who has no foot ulcer.8 Therefore, prevention of foot ulcers is of paramount importance and has long been recognized as a priority by the International Working Group on the Diabetic Foot (IWGDF). Perhaps the most unpleasant potential consequence of DFU besides death is lower extremity amputation (LEA).

Amputation related diabetes is various in different countries. The annual incidence of amputation is 0.3% in the US and Japan,9 0.3% in Ireland,10 0.6% in the Netherlands,11 and 0.6% in Mexican and non-Mexican Americans.12 The incidence rate of amputation is greatly increased when the ulcer of diabetic patients occurs. The annual incidence and 7-year average incidence of amputation for DFU patients were 5.1 and 9.9% respectively in China.4,13 Surprisingly, amputation rate as high as 52% was reported among patients hospitalized for DFU in one tertiary healthcare center in Nigeria.14 Efforts to prevent this unpleasant situation therefore deserve utmost attention, and this could be partly accomplished by risk factor identification.

It is widely known that amputation includes major amputation and minor amputation. This type treatment of amputation, undoubtedly, severely limits personal functional capacity, especially in fragile individuals.15 However, patients with major amputation have more pain and poorer social function than those with minor amputation. Conversely, patients with minor amputation are more independent, ambulatory and have better quality of life than those with major amputation.16 Therefore, identification of risk factors for major amputation is crucial for the prognosis of patients with DFU.

Several studies reported the risk factors for amputation of patients with DFU in recent years.17–21 Unfortunately, few studies compared data between major and minor amputations. This study seeked to identify the more specific risk factors associated with major amputations so that we can develop early management strategies, reduce the incidence rate of amputation and improve treatment effect of patients with DFU.

Materials and Methods

We reviewed the electronic medical record (EMR) database of our hospital from February 2014 to July 2020. The EMR database was queried using national clinical version 2.0 disease diagnosis code (ICD-10) and the hospital discharge diagnostic code E14.500×050 was defined as inclusion criteria. This code represented the patient’s diagnosis of DFU. Finally, 3,654 patients who were diagnosed as having DFU were identified in the study. Patients with amputation (major and minor) were selected from the above patients for grouping analysis.

We reviewed patients’ age, gender, smoking history, diabetes duration, ulcer duration, Wagner classification, ankle brachial index (ABI), previous amputation history, multi-drug resistant bacterial infection (MDR), white blood cell (WBC), plasma albumin (ALB), hemoglobin (Hb), glycosylated hemoglobin A1c (HbA1c), D-Dimer, fibrinogen (Fib), activated partial thromboplastin time (APTT), and medical comorbidities, including hypertension, hyperlipidemia, coronary artery disease (CAD), peripheral arterial disease (PAD), chronic renal insufficiency (CRI), sequelae of cerebral infarction.

Major amputation, ie, above-the-ankle amputation, amputation below the ankle level is considered a minor amputation. Smoking history includes present and past situations. ABI less than 0.4 is defined as severe ischemia, 0.4–0.7 as moderate ischemia, and 0.7–0.9 as mild ischemia. Previous amputation history is defined as the amputation history before hospitalization, including major amputation and minor amputation. MDR are resistant to three or more kinds of antibiotics at the same time. PAD and CAD are diagnosed by Doppler ultrasonography and the left ventricular ejection fraction (EF) of patients with CAD was less than 60%. Sequelae of cerebral infarction includes the patients with limb dysfunction after ischemic or hemorrhagic stroke. In addition, the patients were documented to have CRI if their baseline creatinine was >1.5 mg/dl or glomerular filtration rate <60 mL/min.

The data were subjected to frequency analysis, to obtain the baseline characteristics of all patients. We compared patients’ demographics and other parameters between patients who had major amputation (major amputation group) with those who had minor amputation (minor amputation group). Student’ t-test was used for the continuous parameters and the chi-square test for categorical parameters. Statistical significance was determined at two-tailed p <0.05.

Risk factors of major lower limb amputation were determined using univariate logistic regression analysis, risk factors with p <0.1 were selected for multivariate logistic regression analysis. The variables with p <0.05 were independent risk factors for major amputation. Odds ratios (ORs) with corresponding 95% confidence intervals (95% CI) were calculated and the forest maps of risk factors were drawn. Multicollinearity and interaction were checked and were not found, indicating each variable was independent.

The data exported from the EMR system were analyzed statistically and received in the form of Microsoft Excel 2007 files. Then, the statistical analysis was conducted by using IBM SPSS v.21 statistical software, and the figure was drawn with GraphPad Prism v.8 graphics software.

Results

This study included the data of 3,654 consecutive patients, who were hospitalized for the management of DFU at the diabetic wound center of First Teaching Hospital of Tianjin University of Traditional Chinese Medicine from 28 February 2014 to 8 July 2020. 363 patients (363/3654, 9.9%) developed LEA (major and minor), 139 cases in major amputation group and 224 cases in minor amputation group (Figure 1). Patients who were readmitted because of recurrent ulcers were not excluded in the study. There were significant differences in age, gender, diabetes duration, MDR bacterial infection, hypertension, hyperlipidemia, cerebral infarction, renal insufficiency between the two groups (p >0.05, Table 1).

Figure 1

Selection flow diagram.

Table 1

Clinical Characteristics and Univariate Analysis of Risk Factors for Patients with Major Amputation and Minor Amputation

Characteristic/Variable	Major Amputation Group (n=139)	Minor Amputation Group (n= 224)	p value	OR	95% CI
Age, years	65.68±11.00	65.24±10.85	0.71
Age			0.38
<45	9(6.5)	11(4.9)	0.39
46–55	12(8.6)	35(15.6)	0.12
56–65	45(32.4)	67(22.9)	0.69
66–75	50(36.0)	69(30.8)	0.80
76–85	20(14.4)	39(17.4)	0.38
>85	3(2.2)	3(1.3)	0.83
Gender			0.10
Female	34(24.5)	73(32.6)
Male	105(75.5)	151(67.4)
Smoking (present or past)	94(67.6)	121(54)	0.01	1.78	1.14–2.77
Diabetes duration, years	15.22±6.64	15.53±8.43	0.71
Ulcer duration, months	4.35±6.00	2.82±3.52	0.01	1.08	1.02–1.14
MDR bacterial infection	79(61.2)	137(56.8)	0.44
Wagner classification			0.00
3	15(10.8)	57(25.4)
4	64(46.0)	114(50.9)	0.02	2.13	1.12–4.07
5	60(43.2)	53(23.7)	0.00	4.30	2.18–8.48
ABI			0.00
≥0.4	54(38.8)	188(83.9)
<0.4	85(61.2)	36(16.1)	0.00	8.22	5.02–13.46
Previous amputation history	58(41.7)	49(21.9)	0.00	2.56	1.61–4.06
WBC, ×109/L	15.21±8.22	9.79±4.52	0.00	1.17	1.12–1.22
ALB, g/L	28.91±4.56	33.63±5.83	0.00	0.82	0.78–0.86
Hb, g/L	96.03±19.16	111.30±20.95	0.00	0.96	0.95–0.97
HbA1c, %	8.80±1.85	8.10±1.82	0.00	1.23	1.09–1.38
D-Dimer	1.32±1.50	0.98±1.01	0.01	1.26	1.04–1.52
Fib, g/L	6.38±1.79	5.43±1.83	0.00	1.33	1.17–1.50
APTT, second	36.32±9.19	32.04±7.33	0.00	1.07	1.04–1.10
Comorbidities
hypertension	82(59.0)	149(66.5)	0.18
hyperlipidemia	17(12.2)	22(9.8)	0.49
CAD	95(68.3)	124(55.4)	0.02	1.74	1.11–2.71
PAD	111(79.9)	150(67.0)	0.01	1.96	1.19–3.22
Cerebral infarction	41(29.5)	74(33.0)	0.56
Renal insufficiency	20(14.4)	41(18.3)	0.33

Notes: Continuous variables are presented as mean and standard deviation (M±SD); categorical parameters are presented as counts, with percentages in parentheses, n (%).

Abbreviations: OR, odds ratio; CI, confidence interval; MDR, multi-drug resistant; ABI, ankle brachial index; WBC, white blood cell; ALB, plasma albumin; Hb, hemoglobin; HbA1c, glycosylated hemoglobin; Fib, fibrinogen; APTT, activated partial thromboplastin time; CAD, coronary artery disease; PAD, peripheral arterial disease; CRI, chronic renal insufficiency.

Univariate Analysis of Risk Factors for Major Amputation

In the univariate analysis, fourteen variables had significant difference between major amputation group and minor amputation group in the study (Table 1). Smoking history (odds ratio [OR] 1.78 [95% CI 1.14–2.77], p = 0.01), ulcer duration (1.08 [1.02–1.14], p = 0.01), Wagner 4 (2.13 [1.12–4.07], p = 0.02), Wagner 5 (4.30 [2.18–8.48], p < 0.01), ABI <0.4 (8.22 [5.02–13.46], p < 0.01), previous amputation (2.56 [1.61–4.06], p < 0.01), WBC (1.17 [1.12–1.22], p < 0.01), ALB (0.82 [0.78–0.86], p < 0.01), Hb (0.96 [0.95–0.97], p < 0.01), HbA1c (1.23 [1.09–1.38], p < 0.01), D-Dimer (1.26 [1.04–1.52], p = 0.01), Fib (1.33 [1.17–1.50], p < 0.01), APTT (1.07 [1.04–1.10], p < 0.01), CAD (1.74 [1.11–2.71], p = 0.02) and PAD (1.96 [1.19–3.22], p = 0.01) were included in stepwise multivariate logistic regression analysis.

Multivariate Analysis of Risk Factors for Major Amputation

To investigate independent risk factors of major amputation, stepwise multivariate logistic regression analysis was performed. We found that major amputation was associated with previous amputation history (odds ratio [OR] 2.31 [95% CI 1.17–4.53], p = 0.02), smoking (2.58 [1.31–5.07], p = 0.01), CAD (2.67 [1.35–5.29], p = 0.03), ABI <0.4 (15.77 [7.51–33.13], p < 0.01), Wagner 5 (5.50 [1.89–16.01], p < 0.01), APTT (1.23 [1.03–1.48], p = 0.01), HbA1c (1.23 [1.03–1.48], p = 0.03), Hb (0.98 [0.96–1.00], p = 0.01), ALB (0.88 [0.81–0.95], p < 0.01) and WBC (1.10 [1.04–1.16], p < 0.01) (Table 2). The results were visually revealed by forest plots (Figure 2).

Table 2

Multivariate Analysis of Risk Factors for Patients with Major Amputation and Minor Amputation

Variable	p value	OR	95% CI
Smoking (present or past)	0.01	2.58	1.31–5.07
Ulcer duration, months	0.13
Wagner classification	0.01
3		1
4	0.06
5	<0.01	5.50	1.89–16.01
ABI	<0.01
≥0.4		1
<0.4	<0.01	15.77	7.51–33.13
Previous amputation history	0.02	2.31	1.17–4.53
WBC, ×109/L	<0.01	1.10	1.04–1.16
ALB, g/L	<0.01	0.88	0.81–0.95
Hb, g/L	0.01	0.98	0.96–1.00
HbA1c, %	0.03	1.23	1.03–1.48
D-Dimer	0.81
Fib, g/L	0.48
APTT, second	0.01	1.05	1.01–1.09
CAD	0.01	2.67	1.35–5.29
PAD	0.97

Abbreviations: OR, odds ratio; CI, confidence interval; ABI, ankle brachial index; WBC, white blood cell; ALB, plasma albumin; Hb, hemoglobin; HbA1c, glycosylated hemoglobin; Fib, fibrinogen; APTT, activated partial thromboplastin time; CAD, coronary artery disease; PAD, peripheral arterial disease.

Figure 2

Independent risk factors for major amputation. (A) categorical variable (amputation history, smoking, CAD, ABI<0.4, Wagner 5); (B) continuous variables (APTT, HbA1c, Hb, ALB, WBC).

Discussion

DFU is a significant health care problem, patients and families incur substantial economic burden for society. Risk factors for diabetic foot major amputation have been intensively studied during the last decades, while, the risk factors in previous studies were various. Such variability outcomes might be due to variations study designs and different clinical characteristics of the population. In this study, we aimed to investigate the clinical and biochemical factors associated with major amputation in patients with DFU. We considered that through the study of major amputation group and minor amputation group in patients with diabetic foot, the specificity of the risk factors of major amputation was higher than other grouping methods. In our study, amputation rate was 9.9%, which was similared to the data reported by other studies.22 Finally, the multivariate stepwise logistic regression analysis showed that ten items were risk factors for major amputation.

There was no difference between major amputation and minor amputation groups with respect to the duration of diabetes and ulcer in our study. Regarding the influence of HbA1c level, previous researches reported conflicting results. Yesil et al found that diabetes duration and HbA1c were not risk factors predicting overall amputations in patients with DFU.23 However, HbA1c was a risk factor of major amputation in our study, and Moon et al also proved this conclusion.24 HbA1c reflected the level of fasting blood glucose in diabetic patients in recent 3 months. Previous studies also showed that poor diabetes control was a risk factor for limb loss in diabetic patients.25 Therefore, good glycemic control is essential for patients with DFU to prevent the progression of the disease and reduce the risk to be amputated.

Amputation history reflected the progression of patients with DFU. Miller’s study held that patients who have minor amputation were at increased risk for below-the-knee amputation.26 Besides, 1,873 patients who underwent amputation were investigated in a meta-analysis,27 which drew the conclusion that the risk of re-amputation in patients with amputation history was 1.47-fold that in patients without amputation history. The above conclusions were similar to our study. LEA caused a change in the biomechanics of the amputated limb and potentially creates higher pressure areas and deformities. Patients with previous major amputations rely exclusively on the contralateral limb for ambulation, thus making the limb more susceptible to trauma, recurrent ulceration and LEA. Therefore, for patients with DFU who have been amputated (major or minor), preventive measures should be taken in advance according to the risk factors to reduce the probability of re-amputation.

Smoking was deduced as a risk factor in this study, by contrary, hypertension and hyperlipidemia were not risk factors for LEA of patients with DFU. A meta-analysis shown that smoking was associated with DFU amputation ([OR] 1.65 [95% CI] 1.09–2.50) and smoking cessation served as a protective measure against DF amputation.28 But, different conclusion from our study was that hypertension and hyperlipidemia were all risk factors in other studies.29,30 These factors are easy to lead to atherosclerosis, progressive PAD, which increasing peripheral ischemia, blood flow will be blocked, and ultimately make DFU difficult to heal. Considering the combination of increased atherothrombotic risk and the risk of microvascular disease, patients with diabetes have a higher risk of lower limb ischemia and amputation. In addition, smoking and PAD could increase thirty-day readmission rates following primary LEA in patients with DFU, the OR with 95% CI were (3.22 [1.40~7.36]) and (2.47 [1.08~5.67]) respectively in Ries’s study.31 It was universally known that limb ischemia has also been identified as an independent risk factor for amputation in patients with diabetic foot lesions. Calle-Pascual’s study showed that all major amputations patients had peripheral vascular disease.32 Our study showed that the incidence of PAD in patients with major amputation was 67.0% (150/224). Although PAD was not an independent risk factor in this study, ABI could better reflect the degree of lower limb ischemia. The study has shown that when ABI <0.4, ie severe ischemia, the risk probability of major amputation factor in patients with DFU were 15.77-fold higher than those in patients with mild-moderate ischemia. Faglia et al found a significant increase in major amputation at 30 days and 5 years in a diabetic patient population with critical limb ischemia that did not have revascularization after presentation.33 These demonstrated the importance of assessing the peripheral vascular status in all diabetic patients with DFU. Early referral to a vascular surgeon might delay (or prevent) major LEA.

In patients with CAD, heart pumping function was weakened, lower limb ischemia and hypoxia were aggravated, which increased the risk of amputation, and even increased the risk of death.34 We found that CAD significantly increased the risk of major amputation, fortunately, none of the patients died during hospitalization. A cohort study in Japan showed that CAD was associated with 2.5-fold and 1.8-fold higher risk of PAD and amputation, respectively, among patients without diabetes, and associated with 3.9-fold and 9.5-fold higher risk of PAD and lower limb amputation among patients with diabetes.35 In the retrospective study of Nishijima revealed the prevalence of CAD was significantly higher in the major than non-major amputation group (82% versus 63%, p = 0.04). It also appeared that the risk of CAD was correlated with the severity of limb ischemia.36 These emphasized the need for continued monitoring and treatment of macrovascular and microvascular disease of all patients with diabetes, in particular, diabetes foot patients with documented CAD.

Severity classification based on Wagner was an important risk factor for LEA.37 Our study confirmed that Wagner 5 increased major amputation risk more than 5 times. This observation was not surprising since the severity of the ulcer, including ulcer depth, osteomyelitis and necrosis/gangrene, increases with increasing Wagner grading.

APTT is the most commonly used sensitive indicator to reflect the coagulation activity of endogenous coagulation system. It can be used for monitoring unfractionated heparin therapy, as well as for screening lupus anticoagulant or for assessing thrombosis risk. There was no research on APTT as a risk factor of major amputation in patients with diabetic foot at present. Diabetes impaired the coagulation homeostasis which caused vascular thrombotic events.38 Bashir’s study indicated that APTT value was significant in diabetic septic foot patients compared to non-diabetic septic foot patients (32.64 ± 5.2 versus 28.49 ± 4.13, p < 0.01), and the author held that APTT was associated with prothrombotic state and hypercoagulability in patients with diabetic septic foot.39 Some diseases that may prolong APTT value, such as liver disease, vitamin K deficiency, sepsis, and disseminated intravascular coagulation and so on, were not found in the case data. We did the correlation test between APTT and other variables, and the results showed that WBC, Hb, ALB were correlated with APTT, which was statistically significant as shown in the figure below, but the correlation was slight (r = 0.155, r = 0.252, r = 0.247). In Teresa Cheng’s study, the strongest correlation was found between the canine activated clotting time (ACT) and C-reactive protein (CRP) (r = 0.66), a positive correlation between APTT and inflammation (assessed by CRP) was also recognized. Inflammation and coagulation both occur over a continuous spectrum of illness severity and the precise moment at which inflammation-induced activation of coagulation advances to systemic hypocoagulation is unknown.40 Therefore, we found APTT might be a newly discovered predictor of major amputation in patients with diabetic foot. This may be due to the severe systemic inflammation, poor nutritional status and hypercoagulable state, which subsequent increased of endogenous fibrinolysis in patients with major amputation group. Just as APTT may be a risk factor for major amputation, the reason and mechanism of this correlation need further experimental study. In addition, the values of D-dimer and Fib in major amputation group were higher than those in minor amputation group, however, there was no significant difference in multivariate analysis.

In multivariate analysis, baseline serum ALB and Hb levels were additional predictors of major amputation. Studies conducted by Aziz and Namgoong et al also found that the ALB and Hb level were significant prognostic factors for major amputation.41,42 Our study showed that serum ALB and Hb levels were negatively correlated with major amputation risk in diabetic foot patients. The higher the serum Hb level is, the more oxygen molecules are transported to local tissue. Serum ALB and Hb can also be used as indicators to evaluate the nutritional status of the human body. The wound consumed large quantities of energy during the healing process, therefore, low serum ALB and Hb levels will delay diabetic foot wound healing. This condition is definitely related to the high risk of major amputation in patients with diabetic foot.

WBC is an inflammatory markers for diabetic foot ulcers and other diseases and the level of WBC can reflect the severity of DFU infection. This study showed that higher baseline WBC levels predicted a higher probability of major amputation. Jiang et al study results also showed that increased WBC was associated with increased risks from DFU to major amputation in China ([OR] 1.10 95% CI [1.02–1.19]).43 Other inflammatory markers, such as ESR, CRP and procalcitonin, may also be used as predictors of amputation, but this was still controversy.44 However, there is no doubt that early sensitive anti-infective treatment will benefit newly hospitalized patients with diabetic foot.

Our study had all the limitations inherent to retrospective studies. For example, patient compliance, which can affect the outcomes, was not considered. Our study population was from single center in China, and there can be a selection bias. Our hospital is a tertiary referral centre for complex diabetic foot ulcer, therefore, the results of this study might not be applicable to the general population or primary care centres.

Conclusions

The study found that major amputation was associated with previous amputation history, smoking, CAD, Wagner 5, ABI <0.4, HbA1c, Hb, ALB, WBC, and APTT might be a new risk factor. In conclusion, it is crucial importance to early identify the high-risk factors of major amputation in patients with diabetic foot, which can help determine prevention and treatment protocols when considering disease management, prioritization of treatment and health-related quality of life, and promptly orientated by a trained multidisciplinary team, which are essential to reduce the disability rate and family and society burden.