Literature DB >> 35300625

Effect of anticoagulant/antiplatelet therapy on the development and progression of diabetic retinopathy.

Chi-Juei Jeng1,2,3, Yi-Ting Hsieh3, Cheng-Li Lin4, I-Jong Wang5,6.   

Abstract

BACKGROUND: We investigated whether antiplatelet/anticoagulant (APAC) therapy can protect patients with type 2 diabetes mellitus (T2DM) from the development or progression of diabetic retinopathy (DR).
METHODS: This is a retrospective cohort study using Longitudinal Health Insurance Database in Taiwan. A total of 73,964 type 2 diabetic patients older than 20 years old were included. Hazard ration (HR) of non-proliferative DR (NPDR), proliferative DR (PDR), and diabetic macular edema (DME) were analyzed with APAC usage as a time-dependent covariate. Age, sex, comorbidities, and medicines were further adjusted in a multi-variable model. Contributions of respective APAC was investigated with sensitivity analysis.
RESULTS: Compared with nonusers, APAC users had a lower cumulative incidence of NPDR (P < 0.001), overall incidence of NPDR (10.7 per 1000 person-years), and risk of developing NPDR (adjusted HR = 0.78, 95% CI = 0.73-0.83). However, no significant differences were observed between APAC users and nonusers in the risks of PDR or DME. Hypertension, diabetic nephropathy and diabetic neuropathy were risk factors for NDPR development, while heart disease, cardiovascular disease, peripheral arterial occlusive disease, and statin usage were covariates decreasing NPDR development. Aspirin and Dipyridamole showed significant protection against NPDR development. Clopidogrel, Ticlopidine, and warfarin showed enhanced protection in combination with aspirin usage.
CONCLUSIONS: APAC medications have a protective effect against NPDR development. Diabetic patients benefit from single use of aspirin or dipyridamole on prevention of NPDR.
© 2022. The Author(s).

Entities:  

Keywords:  Anticoagulant; Antiplatelet; Aspirin; Diabetic retinopathy

Mesh:

Substances:

Year:  2022        PMID: 35300625      PMCID: PMC8932222          DOI: 10.1186/s12886-022-02323-z

Source DB:  PubMed          Journal:  BMC Ophthalmol        ISSN: 1471-2415            Impact factor:   2.209


Background

Diabetes mellitus (DM) is characterized by chronic hyperglycemia, which not only causes metabolic disorder but also has profound effects leading to macro- and micro-vasculopathies [1]. Hyperglycemia not only disturbs vascular homeostasis, induces inflammation, endothelial dysfunction, and platelet hyperactivitiy [2], but also causes imbalances of glucose and insulin levels, leading to a procoagulative state [3]. Therefore, patients with DM are at a high risk of thrombosis, which causes diseases such as atherosclerosis [4]. Up to 80% of deaths from type 2 diabetics mellitus (T2DM) are thrombotic [5], and 75% of such deaths result from cardiovascular events [6], with the others resulting from complications of peripheral vascular diseases [7]. Accordingly, antiplatelet/anticoagulant (APAC) therapy with medications, such as low-dose aspirin, is used to target one or multiple pathways responsible for accelerating atherosclerosis and its thrombotic complications in diabetic patients [8]. However, the costs and benefits of primary cardiovascular prevention with aspirin have long been debated. Antithrombotic Trialists’ (ATT) Collaboration reported that aspirin yielded 12% proportional reduction of serious vascular events.[9] The Study of Cardiovascular Events in Diabetes (ASCEND) [10] confirmed the prevention of serious cardiovascular effect from aspirin significantly. However, the benefits accompanied with increase of major bleeding. A hypercoagulable state with endothelial damage renders patients prone to vascular occlusion, [11] which might relate to microvascular complications of diabetic retinopathy (DR) [12, 13]. Schachat suggested that if a patient had either nonproliferative or mildly proliferative DR, aspirin use appeared safe [14]. Bergerhoff et al. examined randomized controlled clinical trials from the Cochrane Library and Medline in patients with DR comparing aspirin treatment, alone or in combination with dipyridamole, versus placebo. Neither alone nor in combination with dipyridamole did aspirin change the risk of DR [15]. The Early Treatment Diabetic Retinopathy Study (ETDRS) reported that the use of aspirin did not prevent either development of PDR or visual loss [16]. On the other aspect, it did not increase the occurrence of vitreous/preretinal hemorrhages in enrolled patients. They also demonstrated that the severity and duration of these hemorrhages were not significantly affected by the use of aspirin. There were no ocular contraindications to its use (650 mg/d) in patients with diabetes who require aspirin for treatment of cardiovascular disease or other conditions [17]. Recently, The Singapore Epidemiology of Eye Disease (SEED) study revealed that aspirin use is not significantly associated with DR. Rather, aspirin usage may be an indicator of diabetic complications (cardiovascular disease, chronic kidney disease), which often comorbid with severe DR [18]. Conversely, the MADIABETES study demonstrated an association between aspirin use and DR risk in a well-defined cohort of patients with T2DM at a low risk of cardiovascular events [19]. The DAMAD Study, conducted in two French and two UK centers, concluded that antiplatelet agents, aspirin alone (330 mg, three times daily) or in combination with dipyridamole (75 mg, three times daily), significantly slowed the progression of microaneurysm evolution in early DR [20]. Whether using APAC for systemic factors affect DR development or progression is still under debate (supplementary Table 1). In the current study, we revisited this issue and investigated whether the use of APAC therapy affects the development or progression of DR in a Taiwanese longitudinal cohort.

Methods

Data source

The Longitudinal Health Insurance Database (LHID) was used for this retrospective cohort study. The LHID is a subset of the National Health Insurance Research Database (NHIRD) covering 23.74 million (99%) Taiwan residents [21]. The details of the LHID have been described in previous studies [22, 23]. Diagnoses in the NHIRD are based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. The Ethics Review Board of China Medical University and Hospital in Taiwan approved this study (CMUH-104-REC2-115-R3).

Study population

We identified patients aged ≥ 20 years with newly diagnosed T2DM (ICD-9-CM codes 250.x0 and 250.x2) from January 1, 2000, to December 31, 2010. The index date was defined as the date of the first T2DM diagnosis. We excluded patients with a history of non-proliferative DR (NPDR, ICD-9-CM 250.5, 362.01, 362.03–362.06 362.1, 362.81, and 362.82), proliferative DR (PDR, ICD-9-CM 362.02, and 379.23), pan-retinal photocoagulation (PRP) treatment, diabetic macular edema (DME, ICD-9-CM 362.53, 362.83, and 362.07), or intra-vitreous injection (IVI) treatment before T2DM diagnosis. Two groups were created: one comprised APAC users for T2DM patients on APAC therapy (clopidogrel, aspirin, warfarin, dipyridamole, or ticlopidine) for ≥ 28 days, and APAC nonusers for T2DM patients not on APAC therapy.

Outcomes, comorbidities, and medications

All patients were followed from the index date until diagnosis of NPDR, PDR, or DME; withdrawal from the insurance program; or December 31, 2011. Baseline comorbidities including hypertension, dyslipidemia, diabetic nephropathy, diabetic neuropathy, heart disease, cardiovascular disease, and peripheral arteriolar disease were identified. Use of medications such as statins, fibrates, and angiotensin-converting-enzyme inhibitors (ACEIs) was also recorded.

Statistical analysis

Differences in the continuous data of the APAC users and nonusers were tested using Student’s t test. Differences in categorical data were analyzed using the chi-square test. The cumulative incidence of NPDR was estimated and plotted for both groups using the Kaplan–Meier method, and the difference was assessed using the log-rank test. The incidence densities of NPDR, PDR, and DME for each group were calculated as the number of NPDR, PDR, and DME events divided by the total person-years. Because some patients may not have taken APAC regularly during the study period, the effect of the drug might be overestimated. Therefore, we considered APAC use as a time-dependent covariate in a Cox proportional hazards model to estimate the effect as HRs and corresponding 95% CIs. Factors significant in the univariate model were adjusted in a multivariate model, namely, age; sex; comorbidities of hypertension, dyslipidemia, diabetic nephropathy, diabetic neuropathy, heart disease, cardiovascular disease, and peripheral arteriolar disease; and medications such as statins and fibrates. We also examined the 5-year risks of PDR and DME after diagnosis of NPDR. All data management and analyses were performed using SAS 9.4 software (SAS Institute, Cary, NC, USA). The significance level was set at P < 0.05.

Results

Table 1 shows a comparison of the baseline characteristics of APAC users and nonusers. APAC users were older on average than nonusers. The proportions of men among the APAC users and nonusers were approximately 53.2% and 51%, respectively. Higher proportions of APAC users were patients with hypertension, dyslipidemia, diabetic nephropathy, diabetic neuropathy, heart disease, cardiovascular disease, and peripheral arteriolar disease and those on statins, fibrates, or ACEIs.
Table 1

Distributions of demographic and clinical comorbid variables in study cohorts

Type 2 DM
Anti-platelet/anti-coagulants
All (N = 73,964)No (N = 64,422)Yes (N = 9542)
N%n%N%P-value
Age, years< 0.001
  >5022,75830.818,14932.6460925.3
  50–6428,74938.920,87537.5787443.2
  65+22,45730.416,72230.0573531.5
  Mean ± SD a57.213.856.814.358.612.1< 0.001
Sex< 0.001
  Female35,84148.527,31049.0853146.8
  Male38,12351.528,43651.0968753.2
Comorbidity
  Hypertension50,26668.035,53763.814,72980.9< 0.001
  Dyslipidemia49,73067.236,31165.113,41973.7< 0.001
  Diabetic nephropathy764210.347768.57286615.7< 0.001
  Diabetic neuropathy12351.677171.295182.84< 0.001
  Heart disease31,06742.020,88437.510,18355.9< 0.001
  Cardiovascular disease964913.1610511.0354419.5< 0.001
  Peripheral arteriolar disease61208.2742587.64186210.2< 0.001
Medication
  Statin35,07547.424,46443.910,61158.2< 0.001
  Fibrate22,31330.215,80028.3651335.8< 0.001
  ACEI38,89952.627,03248.511,86765.1< 0.001

Chi-square test, a t test

Distributions of demographic and clinical comorbid variables in study cohorts Chi-square test, a t test The cumulative incidence of NPDR was lower in APAC users than in nonusers (log-rank test P < 0.001; Fig. 1). The mean follow-up periods were 7.33 and 5.51 years for APAC users and nonusers, respectively (Table 2). The overall incidence of NPDR was lower in APAC users than in nonusers (10.7 vs. 14.4 per 1000 person-years). APAC users also exhibited a significantly lower risk of NPDR than did nonusers (adjusted HR [aHR] = 0.78, 95% CI = 0.73–0.83).
Fig. 1

Cumulative incidence of NPDR among APAC users and nonusers with T2DM

Table 2

Time-dependent regression model results for overall incidence of NPDR, PDR, and DME (per 1000 person-years) and estimated HRs in T2DM patients using and not using APACs

Anti-platelet/anti-coagulants
VariablesNo (N = 55,746)Yes (N = 18,218)
NPDR
Person-years307,299133,609
Follow-up time (y), Mean ± SD5.51 ± 3.277.33 ± 3.16
  Event, n44131432
  Rate14.410.7
  cHR (95% CI)1 (Reference)0.75 (0.71, 0.79)***
  aHR (95% CI)a1 (Reference)0.78 (0.73, 0.83)***
PDR
  Event, n3213
  Rate0.100.09
  cHR (95% CI)1 (Reference)0.93 (0.49, 1.78)
  aHR (95% CI)a1 (Reference)0.81 (0.42, 1.58)
DME
  Event, n4814
  Rate0.150.10
  cHR (95% CI)1 (Reference)0.61 (0.33, 1.10)
  aHR (95% CI)a1 (Reference)0.59 (0.32, 1.08)

Only confounding variables significant in the multivariate model were further analyzed

Abbreviations: aHR adjusted hazard ratio, cHR crude hazard ratio, CI Confidence interval, DME Diabetic macular edema, NPDR Nonproliferative diabetic retinopathy, PDR Proliferative diabetic retinopathy, SD Standard deviation

**P < 0.05, ***P < 0.001

Cumulative incidence of NPDR among APAC users and nonusers with T2DM Time-dependent regression model results for overall incidence of NPDR, PDR, and DME (per 1000 person-years) and estimated HRs in T2DM patients using and not using APACs Only confounding variables significant in the multivariate model were further analyzed Abbreviations: aHR adjusted hazard ratio, cHR crude hazard ratio, CI Confidence interval, DME Diabetic macular edema, NPDR Nonproliferative diabetic retinopathy, PDR Proliferative diabetic retinopathy, SD Standard deviation **P < 0.05, ***P < 0.001 Table 3 reveals the contributions of various factors to the risk of NPDR as determined by univariate and multivariable Cox proportional hazards models using a time-dependent covariate. The aHR of NPDR increased 1.01-fold (95% CI = 1.01–1.02) for each 1-year age increase. The risk for developing NPDR was higher in patients comorbid with hypertension (aHR = 1.17, 95% CI = 1.09–1.24), diabetic nephropathy (aHR = 1.26, 95% CI = 1.17–1.36), or diabetic neuropathy (adjusted HR = 1.56, 95% CI = 1.34–1.81). The NPDR risk was lower in statin users than in nonusers, with an adjusted HR of 0.74 (95% CI = 0.70–0.78). We also followed up patients for 5 years after they diagnosed with NPDR to observe PDR or DME event occurrences (Table 4). However, PDR and DME risks were not significantly different between APAC users and nonusers. We performed sensitivity analysis to evaluate contributions of each APACs. In monotherapy, only aspirin and Dipyridamole showed significant protection from NDPR development (under Dipyridamole, aHR = 0.85, 95% CI 0.74–0.97, p < 0.05). Clopidogrel, Ticlopidine, Warfarin, and Dipyridamole prevented NDPR development in combination with aspirin (aspirin with Clopidogrel, aHR = 0.57, 95% CI 0.44–0.74, p < 0.001; aspirin with Ticlopidine, aHR = 0.59, 95% CI 0.39–0.90, p < 0.05; aspirin with Warfarin, aHR = 0.59, 95% CI 0.35–0.98, p < 0.05; aspirin with Dipyridamole, aHR = 0.61, 95%CI 0.51–0.73, p < 0.001) (Table 5).
Table 3

 HRs and 95% CIs for NPDR and potential risk factors in time-dependent model

VariableCrude HR (95% CI)Adjusted HR a (95% CI)
APAC0.75(0.71, 0.79)***0.78(0.73, 0.83)***
Age, years1.01(1.01, 1.01)***1.01(1.01,1 0.02)***
Sex (vs. Male )1.05(1.00, 1.11)*0.95(0.90, 1.00)
Comorbidity (vs. no)
  Hypertension1.07(1.01, 1.13)*1.17(1.09, 1.24)***
  Dyslipidemia0.91(0.86, 0.96)***1.06(0.99, 1.13)
  Diabetic nephropathy1.19(1.10, 1.28)***1.26(1.17, 1.36)***
  Diabetic neuropathy1.47(1.27, 1.71)***1.56(1.34, 1.81)***
  Heart disease0.81(0.77, 0.86)***0.77(0.73, 0.82)***
  Cardiovascular disease0.65(0.60, 0.72)***0.61(0.56, 0.67)***
  Peripheral arteriolar disease0.81(0.74, 0.89)***0.81(0.74, 0.90)***
Medication
  Statin0.75(0.71, 0.79)***0.74(0.70, 0.78)***
  Fibrate0.91(0.86, 0.96)***1.01(0.95, 1.07)
  ACEI0.99(0.94, 1.04)--

aOnly confounding variables significant in the multivariate model were further analyzed.*P < 0.05, **P < 0.01, ***P < 0.001. Abbreviations: ACEI Angiotensin-converting-enzyme inhibitor, CI Confidence interval, HR hazard ratio

Table 4

Overall PDR and DME events and HRs for PDR and DME measured for T2DM patients with diagnoses of NPDR during 5-year follow-up

Anti-platelet/anti-coagulants
NoYes
VariablesEventsnPYRate#EventsnPYRate#Crude HR(95% CI)Adjusted HR(95% CI)
PDR1316,1460.81446580.861.00 (0.32, 3.06)0.85 (0.26, 2.77)
DME2116,1321.30446560.860.62 (0.21, 1.79)0.65 (0.22, 1.94)

#Incidence rate per 1000 person-years, DME Diabetic macular edema, HR Hazard ratio, PDR Proliferative diabetic retinopathy, PY Person-years.

†Only confounding variables that were significant in the multivariable model were further analyzed.

Table 5

Cox proportional hazard regression analysis for the risk of NPDR -associated Aspirin with combined effect of APACS

VariablesNEventnAdjusted HRa(95% CI)p-value#
AspirinClopidogrel0.36
NoNo59,32947041(Reference)
NoYes1194810.85(0.68, 1.06)
YesNo12,32510000.82(0.76, 0.88)***
YesYes1116600.57(0.44, 0.74)***
AspirinTiclopidine0.34
NoNo59,98447391(Reference)
NoYes539461.01(0.76, 1.36)
YesNo13,07910380.81(0.76, 0.87)***
YesYes362220.59(0.39, 0.90)*
AspirinWarfarin0.88
NoNo60,08447581(Reference)
NoYes439270.79(0.54, 1.15)
YesNo13,17210450.81(0.75, 0.87)***
YesYes269150.59(0.35, 0.98)*
AspirinDipyridamole0.12
NoNo58,00045591(Reference)
NoYes25232260.85(0.74, 0.97)*
YesNo11,5349320.83(0.77, 0.89)***
YesYes19071280.61(0.51, 0.73)***

a Model was adjusted for age, sex, comorbidities, and medications

#p-value for drug interaction

*p < 0.05

***p < 0.001

HRs and 95% CIs for NPDR and potential risk factors in time-dependent model aOnly confounding variables significant in the multivariate model were further analyzed.*P < 0.05, **P < 0.01, ***P < 0.001. Abbreviations: ACEI Angiotensin-converting-enzyme inhibitor, CI Confidence interval, HR hazard ratio Overall PDR and DME events and HRs for PDR and DME measured for T2DM patients with diagnoses of NPDR during 5-year follow-up #Incidence rate per 1000 person-years, DME Diabetic macular edema, HR Hazard ratio, PDR Proliferative diabetic retinopathy, PY Person-years. †Only confounding variables that were significant in the multivariable model were further analyzed. Cox proportional hazard regression analysis for the risk of NPDR -associated Aspirin with combined effect of APACS a Model was adjusted for age, sex, comorbidities, and medications #p-value for drug interaction *p < 0.05 ***p < 0.001

Discussion

In our study, APAC users were older, had more comorbidities, experienced more additional diabetic vascular complications, and were more likely to be statin, fibrate, or ACEI users than were APAC nonusers. This result is in accordance with the ATT and ASCEND studies, which have demonstrated that APACs are prescribed to prevent stroke, acute myocardial infarction, and occlusive vascular diseases [9, 10, 24]. Our APAC users had a lower risk of developing NPDR (aHR = 0.78, 0.73–0.83, p < 0.001). Use of APACs prevented development of NPDR; however, the protective effects of APACs against PDR and DME were insignificant. Aspirin itself showed significant protective effect against NPDR. Protective effects were even more prominent when aspirin was in combination with other anticoagulants. Dipyridamole monotherapy also showed significant protection. Our results are similar to those of the DAMAD study, which prospectively recruited patients with earlier stages of DR. In the DAMAD study, aspirin alone and aspirin plus dipyridamole reduced microaneurysm formation yearly [20]. However, the dosage of aspirin and dipyridamole in the DAMAD study was two to three times higher than regular clinical prescriptions. In a 5-year animal study, aspirin significantly inhibited early stages of DR, including the development of retinal hemorrhages and acellular capillaries, but had limited effects on other pathological changes [25]. Conversely, the prospective MADIABETES study from Spain observed that the risk of DR increased 1.65 times with aspirin use, after adjustments for confounders [19]. The SEED study, after adjusting for covariates, demonstrated that aspirin use was significantly associated with vision-threatening DR; however, the association decreased after adjustments for other diabetic complications, including cardiovascular disease and chronic kidney disease [18]. The ETDRS, which included patients with mild to severe NPDR and PDR, found no significant effects of aspirin on DR development or progression [16]. Moreover, aspirin neither prevented visual loss nor increased hemorrhage rates in DR patients [26]. The dosage of aspirin in the ETDRS was higher than the typically prescribed dose. In study from Italy, aspirin was associated with higher hazard ratio of DR and PDR, but significance disappeared after adjustment with non-fatal major adverse cardiovascular events and diabetic kidney disease [27]. Ticlopidine slowed down microaneurysm progression in insulin-treated diabetic patients in a 3-year follow-up in TIMAD study [28]. In another Belgian study, there was a more favorable trend toward Ticlopidine group however insignificant, which might due to limited study number [29]. In our study, the effects from Clopidogrel, Ticlopidine, and Warfarin were insignificant when prescribed solely. However, the numbers of these APACs were much smaller compared with aspirin and Dipyridamole. Our results also demonstrated that APAC therapy neither increases nor reduces the risk of PDR or DME. However, the event number in our study of PDR or DME were limited and further investigations are needed to explore effects from APAC. In our cohort, older age, hypertension, and diabetic microvascular angiopathies of nephropathy and neuropathy were associated with higher risks of NPDR; however, patients with cardiovascular disease or peripheral occlusive arteriolar disease had lower risks. The effect of age is inconsistent. Older age was a risk factor for DR in studies in South Korea and Saudi Arabia [30, 31]. In the United Kingdom Prospective Diabetic Study (UKPDS), older age was a risk factor for the progression but not for the incidence of DR [32]. The WESDR, however, reported younger age as a risk factor, [33] and the 10-year incidence of DR, progression of DR, and progression to PDR were the highest in the under-30 age group with diabetes [34]. The ETDRS also reported younger age as a risk factor for PDR and severe visual loss [35]. Associations between DR and diabetic neuropathy and diabetic nephropathy have been identified [35, 36]. Kotlarsky et al. observed that nephropathy preceded retinopathy in their study [37]. Another study indicated that hypertriglyceridemia may be a surrogate marker of DME [38]. The effects of fibrates and statins vary; however, the certainty of relevant evidence appeared low in a systemic review [39]. In the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified-Release Controlled Evaluation (ADVANCE) and its subsequent studies (ADVANCE-on), lower-extremity ulceration or amputation increased the risk of vision-threatening DR [40]. Klein et al. found significant associations between DR and coronary heart disease, stroke, and gross proteinuria [41]. Considerable coronary artery calcification in adults with chronic type 1 DM was associated with retinopathy [42]. Our study, however, showed that these macrovascular diseases were inversely related to the risk of DR. Several explanations are possible. First, positive correlations are more frequently reported than negative ones. Second, blood pressure and blood sugar are important controllable factors affecting DR development. Systemic factors may be strictly controlled after macrovascular complications. In the Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR), which focused on type 1 diabetes, the progression rate of DR in 25 years was 83%, in which higher glycosylated hemoglobin [HbA(1 C)] level, and increase diastolic blood pressure were aggravating factors [43]. From UK database, which focused on type 2 DM, increase of HbA(1 C) and systolic blood pressure increased the odds [44]. In UKPDS, incidence and progression were strongly associated with hyperglycemia [32]. Duration is another nonmodifiable but influential factor. In type 2 diabetes, retinopathy was concomitantly diagnosed with diabetes in about one-fifth of patients [32, 44]. The rate of development of DR increases when duration increases, and prevalence increases amongst patients with diabetes exceeding 10 years [45]. Our cohort comprised newly diagnosed type 2 diabetes from January 1st, 2000, to December 31st, 2010, and the follow-up duration was 12 years. The strength of our cohort in Taiwan has up to 99% of national health insurance coverage, which reflected the panorama. There are several limitations in our study. First, this is a retrospective study, and that data on clinical measurements, such as blood pressure and blood sugar control, could not be retrieved from the database. Second, patients of APAC use with more than 28 days were included. Compared with the long duration of follow-up to 12 years, it was a short period of treatment. Third, the dosage effect from different APACs was not analyzed in this study. Fourth, precise duration of hyperglycemia is hard to track in type 2 diabetes. Hyperglycemia is asymptomatic and lurks before complications develop. In our cohort, the patients were included at diagnosis of type 2 diabetes and tracked until DR development. This is compatible with the real-world clinical situations, and DR development increased when the duration increased as reflected in Fig. 1. APACs show beneficial effects on NPDR development in diabetics. The effect of APAC on progression from NPDR to DME or PDR was not significant from our study. However, it is prudent to draw conclusion from our study since the number was too small. Further investigation is needed to explore the effect of APAC on development and progression to PDR and DME.

Conclusions

APAC medications have a protective effect against NPDR development. Diabetic patients benefit from single use of aspirin or dipyridamole on prevention of NPDR. Additional file 1: Table S1. Studies of APAC use.
  46 in total

1.  The relation of atherosclerotic cardiovascular disease to retinopathy in people with diabetes in the Cardiovascular Health Study.

Authors:  Ronald Klein; Emily K Marino; Lewis H Kuller; Joseph F Polak; Russell P Tracy; John S Gottdiener; Gregory L Burke; Larry D Hubbard; Robin Boineau
Journal:  Br J Ophthalmol       Date:  2002-01       Impact factor: 4.638

2.  Prevalence and Progression Rate of Diabetic Retinopathy in Type 2 Diabetes Patients in Correlation with the Duration of Diabetes.

Authors:  Margarete Voigt; Sebastian Schmidt; Thomas Lehmann; Benjamin Köhler; Christof Kloos; Ulrich A Voigt; Daniel Meller; Gunter Wolf; Ulrich A Müller; Nicolle Müller
Journal:  Exp Clin Endocrinol Diabetes       Date:  2017-11-28       Impact factor: 2.949

3.  Association of Antituberculosis Treatment and Lower Risk of Hyperlipidemia in Taiwanese Patients: A Population-Based Case-Control Study.

Authors:  Ying-Ray Lee; N I Tien; Cheng-Li Lin; Hsin-Yi Shen; DA-Tian Bau; Yun-Ping Lim
Journal:  In Vivo       Date:  2018 Jan-Feb       Impact factor: 2.155

4.  Risk of acute coronary syndrome in patients with cervical spondylosis.

Authors:  Shih-Yi Lin; Der-Cherng Chen; Cheng-Li Lin; Han-Chung Lee; Tsung-Chih Lin; I-Kuan Wang; Chung-Y Hsu; Chia-Hung Kao
Journal:  Atherosclerosis       Date:  2018-03-02       Impact factor: 5.162

5.  Risk factors for high-risk proliferative diabetic retinopathy and severe visual loss: Early Treatment Diabetic Retinopathy Study Report #18.

Authors:  M D Davis; M R Fisher; R E Gangnon; F Barton; L M Aiello; E Y Chew; F L Ferris; G L Knatterud
Journal:  Invest Ophthalmol Vis Sci       Date:  1998-02       Impact factor: 4.799

6.  Effects of Aspirin for Primary Prevention in Persons with Diabetes Mellitus.

Authors:  Louise Bowman; Marion Mafham; Karl Wallendszus; Will Stevens; Georgina Buck; Jill Barton; Kevin Murphy; Theingi Aung; Richard Haynes; Jolyon Cox; Aleksandra Murawska; Allen Young; Michael Lay; Fang Chen; Emily Sammons; Emma Waters; Amanda Adler; Jonathan Bodansky; Andrew Farmer; Roger McPherson; Andrew Neil; David Simpson; Richard Peto; Colin Baigent; Rory Collins; Sarah Parish; Jane Armitage
Journal:  N Engl J Med       Date:  2018-08-26       Impact factor: 91.245

7.  An epidemiological model for diabetes mellitus in the United States: five major complications.

Authors:  R S Mazze; P Sinnock; L Deeb; J L Brimberry
Journal:  Diabetes Res Clin Pract       Date:  1985-10       Impact factor: 5.602

8.  Presentations of major peripheral arterial disease and risk of major outcomes in patients with type 2 diabetes: results from the ADVANCE-ON study.

Authors:  Kamel Mohammedi; Mark Woodward; Yoichiro Hirakawa; Sophia Zoungas; Stephen Colagiuri; Pavel Hamet; Stephen Harrap; Neil Poulter; David R Matthews; Michel Marre; John Chalmers
Journal:  Cardiovasc Diabetol       Date:  2016-09-02       Impact factor: 9.951

9.  Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea.

Authors:  Jae Seung Yun; Tae Seok Lim; Seon Ah Cha; Yu Bae Ahn; Ki Ho Song; Jin A Choi; Jinwoo Kwon; Donghyun Jee; Yang Kyung Cho; Yong Moon Park; Seung Hyun Ko
Journal:  Diabetes Metab J       Date:  2016-10-05       Impact factor: 5.376

Review 10.  Statins and/or fibrates for diabetic retinopathy: a systematic review and meta-analysis.

Authors:  Vânia Mozetic; Rafael Leite Pacheco; Carolina de Oliveira Cruz Latorraca; Rachel Riera
Journal:  Diabetol Metab Syndr       Date:  2019-11-08       Impact factor: 3.320

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