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Influence of diabetes mellitus on patients with lumbar spinal stenosis: A nationwide population-based study

  • Chang Kyu Lee ,

    Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    faslcklee@gmail.com

    Affiliations Department of Neurosurgery, Keimyung University Dongsan Medical Center, Daegu, Korea, Department of Neurosurgery, Spine and Spinal Cord Institute, Yonsei University College of Medicine, Seoul, Korea

  • Sun Kyu Choi,

    Roles Data curation, Formal analysis, Investigation, Software

    Affiliation Department of Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Korea

  • Dong Ah Shin,

    Roles Validation, Writing – review & editing

    Affiliation Department of Neurosurgery, Spine and Spinal Cord Institute, Yonsei University College of Medicine, Seoul, Korea

  • Seong Yi,

    Roles Validation, Writing – review & editing

    Affiliation Department of Neurosurgery, Spine and Spinal Cord Institute, Yonsei University College of Medicine, Seoul, Korea

  • Yoon Ha,

    Roles Validation, Writing – review & editing

    Affiliation Department of Neurosurgery, Spine and Spinal Cord Institute, Yonsei University College of Medicine, Seoul, Korea

  • Keung Nyun Kim,

    Roles Validation, Writing – review & editing

    Affiliation Department of Neurosurgery, Spine and Spinal Cord Institute, Yonsei University College of Medicine, Seoul, Korea

  • Insoo Kim

    Roles Validation, Writing – review & editing

    Affiliation Department of Neurosurgery, Keimyung University Dongsan Medical Center, Daegu, Korea

Abstract

Purpose

To evaluate the relationship between comorbidities, medical cost, and surgical outcome in patients with lumbar spinal stenosis (LSS) and diabetes mellitus (DM).

Methods

Data on patients with LSS (n = 14,298) were collected from the Korean National Health Insurance Service database from 2005 to 2007. After 8 years of follow-up, a “DM group” (n = 3,478) and a “non-DM group” (n = 10,820) were compared according to outcome measures. Cox proportional hazard regressions were performed to examine the relationship between DM, hypertension (HTN), cardiovascular disease (CVD), chronic kidney disease (CKD), cerebrovascular disease (CbVD), and surgery for LSS. The admission rate and medical cost as well asthe overall survival rate for those who underwent lumbar surgery were also assessed among patients with DM and LSS.

Results

Mortality was about 1.35 times higher in the DM group than in the non-DM group. Patients with DM and comorbidities including HTN (hazard ratio [HR], 1.40; 95% confidence interval [CI], 1.25–1.56; p<0.001), CVD (HR, 1.53; 95% CI, 1.36–1.73; p<0.001), CKD (HR, 3.18; 95% CI, 2.7–3.76; p<0.001), and CbVD (HR, 1.69; 95% CI, 1.49–1.91; p<0.001) showed an increased risk of mortality. The mean hospitalization time and average medical cost of patients with DM who underwent lumbar surgery were 60.8 days, and 7,127 USD, respectively. This was 31.3 days longer, and 6,207 USD higher, respectively, than those of patients with DM who underwent conservative treatment for LSS. Within the DM group, the survival rate of surgical management of LSS had a significant tendency for positive prognosis compared with those administered conservative treatment (p = 0.046).

Conclusions

In patients with LSS, DM was associated both with poor prognosis (most significantly in those with CKD), and increased medical cost in those who underwent surgery. Nevertheless, surgical treatment for LSS in patients with DM was related to favorable prognosis compared with conservative treatment.

Introduction

Diabetes mellitus (DM) has become a major public health problem due to the increasing prevalence of associated morbidity and mortality [1]. The mortality rate of patients with DM is reported to be 2–3 times higher than that of the general population [2,3]. The growth of the DM population is particularly concerning to surgeons, as DM is linked to comorbidities and surgical complications. DM is associated with various chronic diseases, such as hypertension (HTN), cardiovascular disease (CVD), chronic kidney disease (CKD), and cerebrovascular disease (CbVD). DM also increases the risk of heart failure and coronary heart disease [4], and the prevalence and progression rates of CKD are higher in patients with DM [5]. Conversely, in one study, a decrease in cardiovascular mortality was associated with a decrease in ischemic stroke mortality [6]. Moreover, an increased life expectancy and a higher DM incidence lead to an increase in the number of chronic comorbid diseases [5].

Lumbar spinal stenosis (LSS) is also a serious health problem associated with aging. LSS can cause moderate to severe pain, affecting the patient's quality of life, and increasing healthcare costs. Several studies have reported that DM is a risk factor of LSS [7,8], and there is a high prevalence of LSS among patients with DM [9,10]. In studies about the relationship between LSS and DM, one reported that surgical management of LSS in patients with DM was associated with decreased postoperative hemoglobin A1c level, resulting in increased physical activity [11], and another reported that patients with DM had a poorer outcome after spinal surgery than controls, resulting in an increased rate of reoperation and hospitalization [12].

This study aimed to evaluate the relationship between prevalence, mortality, risk of comorbidity, medical cost, and surgical outcome in patients with DM who have LSS, using a large national sample.

Material and methods

Database

From 2002 to 2013, this study used data from the Korean National Health Insurance Service (KNHIS) database, which contained data on 1 million nationals who were randomly recruited and nationally represented the entire Korean population. In Korea, almost all people are obliged to enroll in the KNHIS. Approximately 97% of the Korean population are covered by the mandatory health insurance system, and the remaining 3% are under Medicaid, a separate program for the poor. Therefore, the Korean health insurance system holds large databases that reflect the medical situation of the general population. These databases include diagnostic codes, procedures, prescription drugs, personal information of the patient, hospital information, and medical costs. The KNHIS uses the Korean Standard Classification of Diseases (KCD), which was modified from the International Classification of Diseases (ICD).

Patient selection

This population-based retrospective cohort study was approved by the institutional review board of Keimyung University Dongsan Medical Center (2018-04-035). The requirement of informed consent was waived by the institutional review board of Keimyung University Dongsan Medical Center. Patients who were diagnosed with LSS in Korea between 2005 and 2007 were selected from the KNHIS database for analysis. The identification of cases is shown in Fig 1. First, we identified patients with a diagnostic code for LSS (M48.0, 48.05, 48.06, 48.07, 48.08, 48.09, 48.8, 48.85, 48.86, 48.87, 48.88, 48.89, 48.9, 48.95, 48.96, 48.97, 48.98, and 48.99). Second, patients who were registered only once or twice for an LSS diagnostic code were eliminated to exclude misdiagnosed patients. Third, we excluded patients who were <50 years old. Fourth, we also excluded patients who underwent a previous lumbar spine surgery. Finally, we selected 14,298 patients (4,778 for 2005; 4,643 for 2006; and 4,877 for 2007) and divided them into two groups (DM and non-DM).

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Fig 1. Flowchart of the study population.

LSS, lumbar spinal stenosis.

https://doi.org/10.1371/journal.pone.0213858.g001

Variables

Variables included LSS (determined by the KCD codes and diagnosed at least three times), surgical management of LSS (determined by the KCD codes for LSS and operation codes N1499, N2499, N0453, N0466, N0469, N1460, N1466, N1469, N2470, N0444, N0445, N0446, and N0447, which include surgeries such as laminectomy, corpectomy, and lumbar interbody fusion with orwithout screw fixation), and DM (determined by the KCD codes E10-14 and the drug codes for DM). The comorbidity factors were HTN (determined by the KCD codes I10-15 and the drug codes for HTN), CKD (determined by the KCD code N18), CVD (determined by the KCD codes I20-25), and CbVD (determined by the KCD codes I60-69). Other variables included medical cost and hospitalization time for LSS, which reflects economic burden to patients. Medical cost, as total healthcare expenditure, was calculated as the sum of costs to treat LSS, including outpatient clinics, pain clinics, pain medication, hospital admission, etc., for an 8-year follow-up period. Medical cost was calculated in Korean won (KRW) and converted to US dollars (USD) using the average exchange rate for 2015. Hospitalization time was calculated as the sum of hospital admission days for LSS.

Statistical analysis

Pearson's chi-square tests were performed to examine differences between the DM and non-DM groups. Comorbidities were used to obtain the hazard ratios (HRs) and 95% confidence intervals (CIs) by performing univariate and multivariate Cox proportional hazard regressions. The overall survival rates were calculated using Kaplan-Meier curves for DM, HTN, CKD, CVD, CbVD, and surgical management of LSS subgroups. Surgical outcomes were confirmed using Kaplan-Meier analysis and multivariate Cox regression analysis. All reported P-values were two-sided, and P-values of ≤0.05 were considered significant. Statistical analyses were performed on SAS System for Windows version 9.4 (SAS Inc., Cary, NC, USA).

Results

The LSS incidence in Korea increased annually, with an overall 1.6-fold increase between 2002 and 2013 (8,693, 8,219, 8,542, 8,932, 8,645, 8,861, 10,011, 10,653, 10,402, 13,614, 13,947, and 13,797 in 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, and 2013, respectively). Among the 14,298 patients who met the criteria and were monitored for 8 years, 3,478 patients (DM group) were compared with 10,820 patients (non-DM group). Table 1 shows the characteristics of the DM and non-DM groups with LSS. There was a greater incidence of LSS among women, regardless of DM. The DM group had a significantly higher association with HTN, CVD, CKD, and CbVD than the non-DM group (86.5% vs. 65%, 53.8% vs. 39.8%, 15% vs. 7.6%, and 61.9% vs. 43.8%, respectively). The prevalence ratio of DM in patients with LSS was 24.3%. The overall survival rate of the DM group was 1.35 higher than that of the non-DM group (95% CI, 1.21–1.5; p<0.001).

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Table 1. Characteristics of the DM group (n = 3,478) and non-DM group (n = 10,820).

https://doi.org/10.1371/journal.pone.0213858.t001

DM with comorbidities significantly increased the risk of mortality compared with DM without comorbidities, based on the results of the Kaplan-Meier survival curves and log-rank tests: HTN (HR, 1.4; 95% CI, 1.25–1.56; p<0.001), CVD (HR, 1.53; 95% CI, 1.36–1.73; p<0.001), CKD (HR, 3.18; 95% CI, 2.7–3.76; p<0.001), and CbVD (HR, 1.69; 95% CI, 1.49–1.91; p<0.001) (Fig 2). Among them, CKD correlated with a higher mortality rate than other comorbidities.

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Fig 2. Risk of mortality from DM and comorbidities by Kaplan-Meier analysis.

(a) Non-DM vs. DM. (b) DM vs. DM with HTN. (c) DM vs. DM with CVD. (d) DM vs. DM with CKD. (e) DM vs. DM with CbVD. DM, diabetes mellitus; HTN, hypertension; CVD, cardiovascular disease; CKD, chronic kidney disease; CbVD, cerebrovascular disease; vs., versus.

https://doi.org/10.1371/journal.pone.0213858.g002

Table 2 shows the comparison of hospitalization time and medical expenses between the DM and non-DM groups. The mean hospitalization time and medical expenses of the DM group were 4.2 days longer (p = 0.0008) and 290 USD higher (p<0.001) than the controls, respectively.

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Table 2. Comparison of length of hospital stay and medical expenses between the DM group and non-DM group in patients with lumbar spinal stenosis.

https://doi.org/10.1371/journal.pone.0213858.t002

In the DM group, surgery ("surgery group") and no surgery ("non-surgery group") for LSS were compared in terms of survival rate for prognosis, hospitalization time, and medical expenses. Patients with LSS were significantly associated with favorable surgical outcomes (p<0.0001). Additionally, patients with DM who underwent surgery for LSS had a significantly better prognosis than those with DM who underwent conservative treatment (p = 0.046) (Fig 2). There was a 31.3 day difference in hospitalization time between the surgery and non-surgery groups, and medical expenses showed a difference of 6,207 USD between the groups (7,127 USD and 920 USD, respectively; p<0.0001; Table 3). We compared the surgical outcomes in LSS and LSS with DM using Kaplan-Meier analysis and multivariate cox regression analysis. Fig 3 reveals that the survival rates for LSS and LSS with DM in the surgery group were improved compared with the non-surgery group (HR, 0.55; 95% CI, 0.43–0.7; p<0.001, vs. HR, 0.68; 95% CI, 0.46–1; p = 0.046). In patients with LSS, conservative treatment showed a 1.91-fold higher mortality rate than surgical treatment, and a 1.61-fold higher mortality rate in the DM group even after adjusting for all comorbidity factors (95% CI, 1.5–2.44, p<0.001, and 95% CI, 1.09–2.37, p = 0.017, respectively; Table 4).

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Fig 3.

Surgical outcomes in (a) LSS and (b) LSS with DM by Kaplan-Meier analysis. DM, diabetes mellitus; LSS, lumbar spinal stenosis.

https://doi.org/10.1371/journal.pone.0213858.g003

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Table 3. Comparison of length of hospital stay and medical expenses between the surgery and non-surgery subgroups of the diabetes mellitus group.

https://doi.org/10.1371/journal.pone.0213858.t003

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Table 4. Multivariate Cox regression analysis of variables according to risk of mortality in LSS and LSS with DM.

https://doi.org/10.1371/journal.pone.0213858.t004

Discussion

This retrospective cohort study investigated the relationship between DM and LSS using a national database. We confirmed that among patients with LSS, the DM group had a 1.35-fold higher mortality rate than the non-DM group. There was a higher risk of mortality when DM occurred with comorbidities such as HTN, impaired renal function, and vascular diseases. Furthermore, we found that patients with DM with surgical management of LSS had a better prognosis than those with DM who underwent conservative treatment.

LSS with DM vs. without DM

The prevalence of DM has been continuously increasing over time. Abraham et al. reported that the annual rates of DM per 1,000 individuals were 2.6, 3.8, 4.7, and 3.0 for women and 3.4, 4.5, 7.4, and 7.3 for men in the 1970s, 1980s, 1990s, and 2000s, respectively [13]. Patients with DM were estimated to account for 8.8% of the world's population, and the International Diabetes Federation predicts that the DM population will rise to 642 million by 2040 [14]. In Europe, morbidity from DM among the adult population is reported to be 8–10% [15]. The World Health Organization estimated that 1.5 million deaths were directly caused by DM in 2012 and that 5 million deaths were attributed to DM in 2015 [14]. DM is a chronic disease affecting the connective tissues, including the bone and cartilage [16,17], peripheral nervous system, blood vessels, and intervertebral discs, causing early degeneration [18,19]. Therefore, DM may be related to the pathogenesis of spinal stenosis [20]. In this study, 24.3% of patients with LSS had DM, which is about 2.8-fold higher than the average DM population. Moreover, among patients with LSS, the DM group showed a significantly higher overall survival rate than that of the non-DM group.

DM and comorbidity

The mortality rate of patients with DM is reported to be about twofold higher than that of the general population [2,3]. Additionally, some studies reported a tendency of risk of disease progression when DM occurs with CVD (including stroke, myocardial infarction, angina pectoris, heart failure, ischemic heart disease, coronary heart disease, atherosclerosis, and cardiovascular death) and CKD [5,21]. In our study, DM with HTN, CVD, CKD, or CbVD showed a significantly increased mortality rate, especially with CKD. Moreover, as we selected patients with DM who had LSS and were aged ≥50 years, we can assume that poor glucose control and low physical activity, due to neurogenic intermittent claudication and radiating leg pain, both lead to risk of progression of comorbidities with DM. Einarson et al. reported that CVD affected about 32% of the DM population, with coronary artery disease and stroke as the major causes of mortality [21]. There has been also an increasing population of older DM patients with CKD due to long life expectancy and high DM incidence [22]. According to the National Health and Nutrition Examination Survey (NHANES), the prevalence of CKD in older patients with DM increased from 27.3% during 1988–1994 to 40.6% during 2009–2014 [23]. While the progressive decline in glomerular filtration rate (GFR) normally accompanies aging, DM accelerates the GFR decline, leading to CKD development [24]. Furthermore, in patients with DM, CKD increases cardiovascular morbidity and mortality and is associated with renal replacement therapy [25]. Thus, DM is related to various comorbidities, affects their progression, and increases mortality.

Hospitalization time and medical cost

As DM prevalence is increasing, medical expenses for DM also increase. Jacobs et al. reported that people with DM had 1.7-fold higher health expenses than people without DM [26]. Meanwhile, LSS occurs with aging, and its prevalence is increasing with older age. Lee et al. [27] reported an increased incidence of spinal diseases with an increase in the aging population, with a peak incidence rate of 42.6% in the age group 75–79 years. Between 2012 and 2016, the medical costs for spinal stenosis comprised the largest portion of expenses for spinal diseases in patients aged >60 years [27]. In our study, we divided the patients with LSS into the DM and non-DM groups, and compared their total lengths of hospital stay and medical expenses, which were only associated with LSS after 8 years of follow-up. We found that LSS with DM was significantly associated with longer hospitalization and higher medical cost. Furthermore, hospitalization time and medical expenses were greater in the surgery group than in the non-surgery group. Hence, DM and LSS significantly increased the healthcare burden of the patients.

Surgical outcome of LSS patients with DM

Surgical treatment of LSS has been consistently reported to bring about reliable positive results [28,29]. However, DM is closely associated with postoperative surgical site infection, leading to a worse prognosis. Fei et al. reported that DM is the most important predictor of surgical site infection after lumbar spinal surgery [30]. Moreover, recently, surgical management of LSS demonstrated questionable benefits compared with conservative treatment, with the rate of side effects ranging from 10% to 24% in surgical cases and no side effects for conservative treatment [31]. Here, in the DM group, surgical management of LSS was significantly associated with better prognosis, and we found similar results in the total LSS population after adjusting for comorbidities. In contrast to previous studies, this study produced meaningful results on surgical outcomes, which were possible through using operational definitions to reduce bias, using a large national sample, and performing a long-term observation.

Limitations

This population-based study has some limitations. First, we used insurance claims data, which lacked information about the patient's laboratory findings and lifestyle factors related to DM, and nonreimbursable items, which included nonsurgical treatments, procedures, and medicines not covered by the Korean health insurance system. Second, the medical expenses could be inaccurate due to the type of populations and diagnostic codes included by the insurance claims. Only medical expenditures by beneficiaries of KNHIS were covered, whereas those with Medicaid were not. Moreover, the medical costs were calculated from insurance claims stating LSS as the “main diagnosis” and “second diagnosis”. For these reasons, there was possibility of underestimating medical expenses. Nevertheless, we used operational definitions for LSS, DM, and comorbidities to improve diagnostic reliability.

Conclusions

Patients with DM who had LSS showed a poor prognosis when DM occurred with HTN, CVD, and CbVD, and most significantly with CKD. Although LSS with DM was negatively associated with hospitalization time, medical cost, and mortality, surgical treatment for LSS in patients with DM was associated with a favorable prognosis compared with conservative treatment.

References

  1. 1. Danaei G, Finucane MM, Lu Y, Singh GM, Cowan MJ, Paciorek CJ, et al. National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants. Lancet. 2011;378: 31–40. pmid:21705069
  2. 2. Gregg EW, Cheng YJ, Saydah S, Cowie C, Garfield S, Geiss L, et al. Trends in death rates among U.S. adults with and without diabetes between 1997 and 2006: findings from the National Health Interview Survey. Diabetes Care. 2012;35: 1252–1257. pmid:22619288
  3. 3. Lind M, Garcia-Rodriguez LA, Booth GL, Cea-Soriano L, Shah BR, Ekeroth G, et al. Mortality trends in patients with and without diabetes in Ontario, Canada and the UK from 1996 to 2009: a population-based study. Diabetologia. 2013;56: 2601–2608. pmid:24114114
  4. 4. Chen HF, Ho CA, Li CY. Risk of heart failure in type 2 diabetes population: Comparison with non-diabetes subjects with and without coronary heart diseases. Diabetes Obes Metab. 2018. 2018/08/10. pmid:30091215
  5. 5. Kim KS, Park SW, Cho YW, Kim SK. Higher Prevalence and Progression Rate of Chronic Kidney Disease in Elderly Patients with Type 2 Diabetes Mellitus. Diabetes Metab J. 2018;42: 224–232. pmid:29885112
  6. 6. Kim KJ, Kwon TY, Yu S, Seo JA, Kim NH, Choi KM, et al. 10-Year Mortality Trends for Adults with and without Diabetes Mellitus in South Korea, 2003 to 2013. Diabetes Metab J. 2018. 2018/06/10. pmid:29885109
  7. 7. Asadian L, Haddadi K, Aarabi M, Zare A. Diabetes Mellitus, a New Risk Factor for Lumbar Spinal Stenosis: A Case-Control Study. Clin Med Insights Endocrinol Diabetes. 2016;9: 1–5. pmid:27168730
  8. 8. Liu X, Pan F, Ba Z, Wang S, Wu D. The potential effect of type 2 diabetes mellitus on lumbar disc degeneration: a retrospective single-center study. J Orthop Surg Res. 2018;13: 52. pmid:29540205
  9. 9. Uesugi K, Sekiguchi M, Kikuchi S, Kanayama M, Takahashi K, Chiba K, et al. Lumbar spinal stenosis associated with peripheral arterial disease: a prospective multicenter observational study. J Orthop Sci. 2012;17: 673–681. pmid:23053583
  10. 10. Uesugi K, Sekiguchi M, Kikuchi S, Konno S. Relationship between lumbar spinal stenosis and lifestyle-related disorders: a cross-sectional multicenter observational study. Spine (Phila Pa 1976). 2013;38: E540–545.
  11. 11. Kim KT, Cho DC, Sung JK, Kim CH, Kang H, Kim DH. Changes in HbA1c levels and body mass index after successful decompression surgery in patients with type 2 diabetes mellitus and lumbar spinal stenosis: results of a 2-year follow-up study. Spine J. 2017;17: 203–210. pmid:27612595
  12. 12. Mobbs RJ, Newcombe RL, Chandran KN. Lumbar discectomy and the diabetic patient: incidence and outcome. J Clin Neurosci. 2001;8: 10–13. pmid:11320971
  13. 13. Abraham TM, Pencina KM, Pencina MJ, Fox CS. Trends in diabetes incidence: the Framingham Heart Study. Diabetes Care. 2015;38: 482–487. pmid:25552418
  14. 14. Ogurtsova K, da Rocha Fernandes JD, Huang Y, Linnenkamp U, Guariguata L, Cho NH, et al. IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Res Clin Pract. 2017;128: 40–50. pmid:28437734
  15. 15. Yliharsila H, Lindstrom J, Eriksson JG, Jousilahti P, Valle TT, Sundvall J, et al. Prevalence of diabetes and impaired glucose regulation in 45- to 64-year-old individuals in three areas of Finland. Diabet Med. 2005;22: 88–91. pmid:15606697
  16. 16. Silberberg R. The skeleton in diabetes mellitus: a review of the literature. Diabetes Res. 1986;3: 329–338. pmid:3536260
  17. 17. Sternberg M, Cohen-Forterre L, Peyroux J. Connective tissue in diabetes mellitus: biochemical alterations of the intercellular matrix with special reference to proteoglycans, collagens and basement membranes. Diabete Metab. 1985;11: 27–50. pmid:3884403
  18. 18. Selvarajah D, Wilkinson ID, Emery CJ, Harris ND, Shaw PJ, Witte DR, et al. Early involvement of the spinal cord in diabetic peripheral neuropathy. Diabetes Care. 2006;29: 2664–2669. pmid:17130202
  19. 19. Sakellaridis N. The influence of diabetes mellitus on lumbar intervertebral disk herniation. Surg Neurol. 2006;66: 152–154. pmid:16876608
  20. 20. Lotan R, Oron A, Anekstein Y, Shalmon E, Mirovsky Y. Lumbar stenosis and systemic diseases: is there any relevance? J Spinal Disord Tech. 2008;21: 247–251. pmid:18525484
  21. 21. Einarson TR, Acs A, Ludwig C, Panton UH. Prevalence of cardiovascular disease in type 2 diabetes: a systematic literature review of scientific evidence from across the world in 2007–2017. Cardiovasc Diabetol. 2018;17: 83. pmid:29884191
  22. 22. Zhou XJ, Rakheja D, Yu X, Saxena R, Vaziri ND, Silva FG. The aging kidney. Kidney Int. 2008;74: 710–720. pmid:18614996
  23. 23. Afkarian M, Zelnick LR, Hall YN, Heagerty PJ, Tuttle K, Weiss NS, et al. Clinical Manifestations of Kidney Disease Among US Adults With Diabetes, 1988–2014. Jama. 2016;316: 602–610. pmid:27532915
  24. 24. Tsai CW, Ting IW, Yeh HC, Kuo CC. Longitudinal change in estimated GFR among CKD patients: A 10-year follow-up study of an integrated kidney disease care program in Taiwan. PLoS One. 2017;12: e0173843. pmid:28380035
  25. 25. Afkarian M, Sachs MC, Kestenbaum B, Hirsch IB, Tuttle KR, Himmelfarb J, et al. Kidney disease and increased mortality risk in type 2 diabetes. J Am Soc Nephrol. 2013;24: 302–308. pmid:23362314
  26. 26. Jacobs E, Hoyer A, Brinks R, Icks A, Kuss O, Rathmann W. Healthcare costs of Type 2 diabetes in Germany. Diabet Med. 2017;34: 855–861. pmid:28199029
  27. 27. Lee CH, Chung CK, Kim CH, Kwon JW. Health Care Burden of Spinal Diseases in the Republic of Korea: Analysis of a Nationwide Database From 2012 Through 2016. Neurospine. 2018;15: 66–76. pmid:29656624
  28. 28. Weinstein JN, Lurie JD, Tosteson TD, Zhao W, Blood EA, Tosteson AN, et al. Surgical compared with nonoperative treatment for lumbar degenerative spondylolisthesis. four-year results in the Spine Patient Outcomes Research Trial (SPORT) randomized and observational cohorts. J Bone Joint Surg Am. 2009;91: 1295–1304. pmid:19487505
  29. 29. Weinstein JN, Tosteson TD, Lurie JD, Tosteson A, Blood E, Herkowitz H, et al. Surgical versus nonoperative treatment for lumbar spinal stenosis four-year results of the Spine Patient Outcomes Research Trial. Spine (Phila Pa 1976). 2010;35: 1329–1338.
  30. 30. Fei Q, Li J, Lin J, Li D, Wang B, Meng H, et al. Risk Factors for Surgical Site Infection After Spinal Surgery: A Meta-Analysis. World Neurosurg. 2016;95: 507–515. pmid:26054871
  31. 31. Zaina F, Tomkins-Lane C, Carragee E, Negrini S. Surgical versus non-surgical treatment for lumbar spinal stenosis. Cochrane Database Syst Rev. 2016. 2016/01/30. pmid:26824399