Elevated lipid levels in patients with achilles tendon ruptures: a retrospective matching study.

BACKGROUND: Achilles tendon rupture (ATR) can lead to significant disability of patients. However, whether serum lipid levels are associated with ATR is still unclear. This study aimed to examine the difference in lipid levels between patients with and those without ATR.
METHODS: Patients who received ATR surgery during January 2017 to December 2017 were categorized into the case group, and those who had physical examinations during the same period without ATR were in the control group. Different matching methods [case-control matching (CCM) and propensity score matching (PSM)] were used to match the cases and controls at a 1:1 ratio.
RESULTS: Among a total of 216 pairs of subjects with CCM, cholesterol, triglyceride, and low-density lipoprotein (LDL) levels were significantly higher (all P<0.05) in the case group than in the control group. Among 241 pairs of subjects with PSM, the same results as those with CCM were obtained. Abnormal rates of cholesterol, triglyceride, and LDL levels in the case group were also significantly higher than those in the control group in CCM and PSM (all P<0.05). After adjusting for the factors of height and weight, there were still significant differences in cholesterol, triglyceride, and LDL levels, as well as high-density lipoprotein levels, between the case and control groups (all P<0.05).
CONCLUSIONS: Cholesterol, triglyceride, and LDL levels in patients with ATR are higher than those in healthy people. Further studies are required to verify the effect of some components of lipids on Achilles tendon structure. 2020 Annals of Translational Medicine. All rights reserved.

Introduction

Achilles tendon rupture (ATR) is a common clinical sports injury to the ankle function of patients. Some patients suffer from chronic ATR because of misdiagnosis. Many patients who have received an operation or are treated conservatively in time may not have satisfactory results, and live with pain and disability after treatment. Some functional deficits can last for longer than 10 years or even accompany patients for life (1,2). The reported incidence rate of ATR varies from 11–37/100,000 in European countries (3-6). Closed ATR usually occurs in sports injuries. When the knee joint is straightened, the weight-bearing forefoot often kicks up, and the ankle is suddenly dorsiflexed or the forefoot touches the ground, causing severe dorsiflexion of the plantar-flexed foot. Direct violence or laceration on the contracted Achilles tendon can also cause ATR.

The pathogenesis of ATR is affected by many factors, including sports injury, inflammatory reaction, genetic susceptibility, and aging (7-9). Obesity, hypertension, diabetes and steroid use are also related to Achilles tendon diseases (10). Ozgurtas et al.’s small-sample population study showed that ATR was related to high lipid concentrations (11). They showed that triglyceride, total cholesterol, very low-density lipoprotein cholesterol, and low-density lipoprotein cholesterol (LDL-C) levels in patients with ATR were higher than those in patients in the control group. A meta-analysis showed that structural changes of the Achilles tendon and Achilles tendon pain were related to high total cholesterol, triglyceride, and LDL-C levels and low high-density lipoprotein cholesterol (HDL-C) levels (12). Additionally, Wang et al. showed that Achilles tendon thickness was positively correlated with LDL-C levels (13). To confirm lipid levels as a definite risk factor of ATR, a study with a larger number of patients comparing lipid levels between ruptured Achilles tendons and undamaged Achilles tendons is required.

Therefore, this study aimed to investigate the relationship between ATR and lipid levels in a larger population. Because ATR and lipid levels are affected by different factors, this study strictly selected subjects to remove the possible influence of relevant confounding factors as much as possible. Additionally, we adopted two forms of matching, case–control matching (CCM) and propensity score matching (PSM), to ensure that the study was appropriately powered.

Methods

Subjects and data

We retrospectively analyzed 287 patients who underwent ATR repair surgery in the Institute of Sports Medicine, Peking University Third Hospital during January 2017 to December 2017. There were no athletes in this study. Among the above-mentioned patients, we excluded 25 because of a lack of data of lipids or other indicators, 6 professional athletes, 8 with hypertension, and 5 with diabetes. The remaining 243 patients were selected as the case group. A total of 10,375 people who underwent a physical examination at the Physical Examination Center of Peking University Third Hospital during the same period were selected as the control group. A total of 9,193 subjects remained after excluding those with no lipid test results, professional athletes, and those with hypertension or diabetes. These subjects were included in the control group for this study. The study was approved by the ethics committee of Peking University Third Hospital and the subjects were exempted from signing an informed consent form. General data, as well as data on blood glucose levels, lipid levels, blood uric acid levels, smoking, and drinking of the subjects were collected through the hospital information system.

We divided lipids into different groups according to the standard of the lipid test kit (Kanto Chemical co., ltd., Japan) that is used in Peking University Third Hospital. Total cholesterol levels >6 mmol/L, triglyceride levels >1.8 mmol/L, HDL levels <0.78 mmol/L, LDL levels >3.62 mmol/L, and uric acid levels >420 µmol/L were defined as abnormal.

Matching methods of subjects

Matching ensures that the distributions of confounding variables are identical (or as close to identical as possible) so that the case group is comparable with the control group (14). CCM involves selecting a subject in the control group as the case-matched control who is completely consistent with the case according to the matching factors. However, in PSM, selection of a control for each case is based on the propensity score, not matching factors (15). To balance the baseline characteristics between groups, we used CCM and PSM to match patients with ATR and healthy people at a 1:1 ratio. The matching parameters included age, sex, body mass index (BMI), and blood glucose levels. In CCM, the maximum allowance of difference (MAD) of age was set to 1 year old, the MAD of a BMI was 0.5 kg/m2, the MAD of plasma glucose levels was 0.5 mmol/L and an exact match was used for sex. A total of 216 pairs of subjects were matched (). In PSM, the matching tolerance score between the case group and the control group was set at 0.001. A total of 241 pairs of subjects were matched ().

Figure 1

Flow chart of the subject selection and matching.

Statistical analysis

We used the R software (Version 3.1.1) “MatchIt” package for PSM and SPSS 25.0 for CCM for statistical analysis (16). We used the Kolmogorov-Smirnov test for determining normality of continuous data. Continuous data that had a normal distribution are expressed as mean ± standard deviation and the independent sample t-test was used for comparison between groups. Continuous data that were not normally distributed are expressed as the median (25th and 75th percentiles), and we used the Mann-Whitney U test for comparison between groups.

To control for the effect of the patients’ height and weight on lipid levels, the generalized linear model was used. All tests were two-sided and P<0.05 was considered statistically significant.

Results

Characteristics of the subjects

Age, sex, BMI, and blood glucose levels were not significantly different between the case and control groups in the two matching approaches. However, height was slightly higher (approximately 3 cm) and weight was slightly heavier (approximately 2.4 kg) in patients in the case group than in subjects in the control group (both P<0.05) ().

Table 1

Comparison of baseline characteristics between the two groups

Variables	Case-control matching				Propensity score matching
	Case (n=216)	Control (n=216)	P		Case (n=241)	Control (n=241)	P
Age, years	37.54±8.80	37.53±8.78	0.996		37.26±9.38	36.36±12.93	0.437
Gender, n (%)			1.000				0.873
Male	195 (90.28)	195 (90.28)			219 (90.87)	220 (91.29)
Female	21 (9.72)	21 (9.72)			22 (9.13)	21 (8.71)
Height, cm	174.46±7.59	171.71±7.09	<0.001		174.79±9.96	171.33±7.38	<0.001
Weight, kg	77.85±11.31	75.44±11.09	0.026		77.95±12.74	75.54±12.51	0.036
BMI, kg/m2	25.52±2.88	25.51±2.88	0.961		25.51±3.64	25.65±3.40	0.652
Fasting glycaemia, mmol/L	5.30±0.54	5.22±0.54	0.135		5.40±0.92	5.42±1.80	0.894

The case group is achilles tendon rupture (ATR) patients; the control group is the healthy controls.

Comparison of lipid levels between the case group and the control group

Among the 216 matched pairs of subjects, median cholesterol, triglyceride, and LDL levels in the case group were significantly higher than those in the control group (all P<0.001) ( and ). The same results were also found in the 241 pairs of subjects matched with PSM ( and ).

Table 2

Differences of uric acid and plasma lipid between the two groups

Variables	Case-control matching				Propensity score matching
	Control (n=216)	Case (n=216)	P		Control (n=241)	Case (n=241)	P
Cholesterol, mmol/L	3.74 (3.41–4.19)	4.77 (4.14–5.40)	<0.001		3.37 (3.09–3.59)	4.77 (4.14–5.36)	<0.001
Triglyceride, mmol/L	1.18 (0.84–1.72)	1.55 (1.06–2.25)	<0.001		0.98 (0.73–1.37)	1.51 (1.06–2.17)	<0.001
HDL, mmol/L	1.07 (0.96–1.25)	1.09 (0.98–1.31)	0.143		1.08 (0.96–1.26)	1.09 (0.98–1.31)	0.252
LDL, mmol/L	2.30 (1.92–2.60)	3.04 (2.47–3.53)	<0.001		1.93 (1.63–2.17)	3.05 (2.46–3.54)	<0.001

Data were expressed as median (25th–75th percentile) and tested by the Mann-Whitney U test.

Figure 2

Comparison of plasma lipid between the two groups in case-control matching.

Figure 3

Comparison of plasma lipid between the two groups in propensity score matching.

The subjects were then divided into healthy and abnormal groups by their test values according to the standard of the serum lipid kit. In CCM, the rates of patients with abnormal cholesterol, triglyceride, and LDL levels in the case group were significantly higher than those in the control group (all P<0.01). The same phenomenon was found in PSM ().

Table 3

Abnormal rate in uric acid and plasma lipid of the two groups

Variables	Case-control matching, n (%)				Propensity score matching, n (%)
	Control (n=216)	Case (n=216)	P		Control (n=241)	Case (n=241)	P
Cholesterol, mmol/L	3 (1.39)	21 (9.72)	<0.001		3 (1.24)	24 (9.96)	<0.001
Triglyceride, mmol/L	49 (22.69)	78 (36.11)	0.002		27 (11.2)	86 (35.68)	<0.001
HDL, mmol/L	5 (2.31)	8 (3.70)	0.398		13 (5.39)	8 (3.32)	0.265
LDL, mmol/L	4 (1.85)	40 (18.52)	<0.001		3 (1.24)	46 (19.09)	<0.001

Multivariate analysis of differences in lipid levels between the case and control groups

In CCM and PSM, patients in the case group were slightly taller and heavier than those in the control group, but there was no significant difference in BMI between the groups. To remove the influence of height and weight on lipids, the generalized linear model was used to examine the effect of lipids between groups. We found that the case group had significantly higher cholesterol, triglyceride, HDL, and LDL levels than did the control group (all P<0.05, ).

Table 4

Results of the generalized linear model analysis

Variables	Group			Height			Weight
	Beta	P		Beta	P		Beta	P
CCM
Cholesterol	0.979	<0.001		−0.017	0.008		0.018	<0.001
Triglyceride	0.445	<0.001		−0.026	0.008		0.034	<0.001
HDL	0.069	0.005		0.002	0.306		−0.008	<0.001
LDL	0.707	<0.001		−0.013	0.022		0.019	<0.001
PSM
Cholesterol	1.327	<0.001		−0.001	0.820		0.006	0.119
Triglyceride	0.532	<0.001		−0.002	0.807		0.008	0.224
HDL	0.054	0.029		−0.001	0.630		−0.003	0.018
LDL	1.047	<0.001		−0.002	0.674		0.007	0.030

CCM, case-control matching; PSM, propensity score matching.

Discussion

This study aimed to examine whether high lipid levels are an essential factor of ATR by a retrospective matching study. We found that although patients with ATR were taller and heavier than controls, there was no significant difference in age, sex, BMI, and fasting blood glucose levels between the groups. Furthermore, cholesterol, triglyceride, and LDL levels in patients with ATR were significantly higher than those in controls, which is consistent with the results of Ozgurtas et al. (11) and Tilley et al. (12).

The Achilles tendon is connective tissue and is mainly composed of the extracellular matrix. The Achilles tendon comprises a large amount of vertically arranged type I collagen, a small amount of types III and V collagen, and proteoglycan, and it is the strongest and largest tendon in the human body (17,18). ATR is a common injury. In recent years, the incidence of ATR has increased, and this phenomenon is more evident with aging of the population (5,6). There are many causes of ATR. Previous studies have reported pathological changes in tendons in patients with hypercholesterolemia (19) and elevated cholesterol levels in patients with ATR (11,20). A meta-analysis also showed that, in patients with changes in tendon structure or tendon pain, total cholesterol, LDL cholesterol, and triglyceride levels were significantly elevated, and that HDL cholesterol levels were reduced (12). However, there have been no large-sample studies on whether lipid levels of patients with ATR are significantly higher than those in healthy people. We studied 287 patients with ATR and matched them on the basis of necessary matching parameters with 10,375 healthy people. Under different matching conditions, we found that cholesterol, triglyceride, and LDL levels in patients with ATR were higher than those in healthy people. A hypothesis has been proposed that greater weight, which exerts external force on the tendon, and tension, which is induced by muscular contraction, are possible causes of ATR (21). To remove the influence of height and weight on lipid levels, we used the generalized linear model in this study. The generalized linear model is a derivative of the linear model under non-normal distribution, and it is a type of multifactor analysis, which can adjust for the effect of other variables. After adjusting for the effects of height and weight, we found that patients in the case group had significantly higher cholesterol, triglyceride, HDL, and LDL levels than did the control group. This finding suggests that lipid levels in patients with ATR are abnormal.

We speculate that free cholesterol and triglycerides accumulate in the Achilles tendon of patients with ATR because they often have high serum lipid levels due to bad living habits, such as a high-fat diet and smoking. Such deposition can cause Achilles tendon xanthomas, which may lead to rupture of the Achilles tendon and is also a sign of hyperlipidemia. The incidence of Achilles tendon xanthomas is relatively higher in patients with familial hypercholesterolemia than in other people (22-24). Statins and PCSK9 inhibitors inhibit the lipid deposition process (25-27). Whether the use of such drugs for patients with hyperlipemia can reduce lipid deposition in the Achilles tendon needs to be studied in the future.

ATR is related to its mechanical structure. A total of 70% of the dry weight of the Achilles tendon is collagen, of which there is 95% type I collagen (28,29). Assembly of type I collagen into fibrils was originally believed to be a spontaneous and entropy-driven process. However, a recent study showed that collagen fibril formation is under close cellular control and is dynamically integrated with fibronectin assembly (30). Moreover, vascular smooth muscle cells with lipid deposition (i.e., smooth muscle foam cells) leads to abnormal collagen polymerization, reducing the assembly ability of cell collagen fibers. This further reduces the strength of the Achilles tendon (31,32). Hypercholesterolemia may lead to an increase in matrix metalloproteinase activity and breakdown of collagen. Subsequently, this leads to fragility and ATR (33).

Cholesterol is not only deposited in the extracellular matrix, but also accumulates in cells, such as macrophages and other immune cells. This process promotes inflammatory reactions, including increasing Toll-like receptor signaling, inflammasome activation, and production of monocytes and neutrophils in the bone marrow and spleen. At the cellular level, activation of Toll-like receptor signaling leads to decreased cholesterol efflux, which leads to further accumulation of cholesterol and amplification of the inflammatory response (34). Tissues of patients with tendon diseases and ATR show chronic inflammation (9). Inflammation can lead to the occurrence and development of tendon diseases. Inflammatory infiltration may trigger the release of oxygen free radicals, protease, and other factors that damage cells. The Fas system is also activated and this leads to cellular apoptosis, causing degeneration of the Achilles tendon, and eventually rupture occurs (8,35,36). Accumulation of foam cells, which contain a large amount of oxidized LDL, may also be involved in this process (34). In this process, a newly discovered mechanism may be involved (37). A type of phospholipid bilayer membrane-enclosed vesicle, called an extracellular vesicle, can be released by inflammatory-related cells, including platelets, leukocytes, monocytes, macrophages, and other cells. Extracellular vesicles play roles in biological and pathological processes (38-40). Extracellular vesicles may also intensify the communication of inflammatory factors from macrophages to tendons (41). At the site of the Achilles tendon tissue where lipids are accumulated, the load-bearing capacity is poorer, and the tissue is loose and more fragile than in normal tendon tissue. The tendon tissue is infiltrated by inflammatory factors, which eventually leads to ATR. However, this speculation requires further pathological staining of lipids for further verification.

Hyperlipidemia leads to hypercoagulation of plasma and atherosclerosis, which promote thrombosis (42). Small thrombosis, occlusive arterial disease, and decreased blood flow disturb the microvasculature of the tendon and result in insufficiency in the local blood circulation. Poor circulation may result in local tissue hypoxia, and impaired nutrition and energy metabolism. Taken together, these factors are likely to play an essential role in the sequence of events that lead to degeneration of tendons (10,43).

In this study, we did not collect data on smoking or diet of patients, which may have led to confounding factors. In future studies, we will obtain more lifestyle information of patients and conduct tissue biopsies of tendon tissues to determine the status of lipid accumulation.

In conclusion, cholesterol, triglyceride, and LDL levels in patients with ATR are higher than those in healthy people, and this may be caused by deposition of lipids at the Achilles tendon. A prospective cohort study should be carried out to confirm our findings. Lipoprotein and key proteins, such as matrix metalloproteinase, should be stained in collected Achilles tendon samples, and the effect of some components of lipids on the structure of Achilles tendon should be further investigated.