Literature DB >> 31923190

The impact of diabetes mellitus medication on the incidence of endogenous endophthalmitis.

Ke-Hung Chien1,2, Ke-Hao Huang1,3, Chi-Hsiang Chung4,5, Yun-Hsiu Hsieh1, Chang-Min Liang1, Yu-Hua Chang6, Tzu-Heng Weng1, Wu-Chien Chien4,7,8.   

Abstract

PURPOSE: This study aimed to evaluate the relationship between diabetic mellitus (DM) treatment and the incidence rate of endogenous endophthalmitis (EE).
DESIGN: This study used a matched cohort design. We utilized the Longitudinal Health Insurance Database to identify outpatients and inpatients who were diagnosed with DM and treated with medication from 2000 to 2010.
METHODS: Several factors and different DM medications were also investigated. The influence of DM medication on the incidence of EE was examined by using Cox proportional hazards regression models, and the hazard ratios and 95% confidence intervals were determined.
RESULTS: The cumulative incidence of EE was lower in DM patients treated with medication than in subjects in the control group (P = 0.002). The adjusted hazard ratio (AHR) was 0.47-fold lower in the treatment group than in the control group (P = 0.004). With respect to DM medication, single-agent therapy with insulin, metformin, gliclazide, glimepiride, or repaglinide and combination therapy with glimepiride/metformin or repaglinide/metformin were associated with decreased AHRs (0.257-0.544, all P<0.05).
CONCLUSIONS: Diabetic patients treated with medication had lower AHRs than those in the control group. Further stratification indicated that liver abscess, liver disease DM patients who were treated with medication had a lower risk of developing EE. Several specific DM medications may decrease the incidence of EE.

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Mesh:

Year:  2020        PMID: 31923190      PMCID: PMC6953870          DOI: 10.1371/journal.pone.0227442

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Endophthalmitis is an inflammatory intraocular condition that involves both the posterior and anterior segments. In most cases, it is caused by an intraocular infection and often results in severe and irreversible visual deterioration [1-3]. Endophthalmitis can be further divided into endogenous and exogenous endophthalmitis based on its pathogenesis. The former is caused by the hematogenous dissemination of bacterial, fungal, or other pathogens that break through the blood-ocular barrier and inoculate the intraocular region [4-7]. In addition, patients with a compromised immune system are at risk of endogenous endophthalmitis (EE). Some of these predisposing conditions include diabetes mellitus (DM), systemic malignancy, endocarditis, sickle cell anemia, autoimmune disease, and human immunodeficiency virus infection/acquired immunodeficiency syndrome (HIV/AIDS) [5,7-9]. Among these diseases, DM is the most often mentioned and discussed. It has been established that impaired neutrophilic bactericidal function is strongly associated with poor glycemic control [10,11]. Some studies have also demonstrated that DM alters the corneal epithelial basement membrane resulting in basal cell degeneration that manifests clinically as superficial punctate keratitis, which causes greater fragility of the ocular barrier [12,13]. In our previous study, several predictors of mortality among inpatients with endophthalmitis were found. Among them, DM resulted in a decreased odds ratio for inpatient mortality [14]. However, studies that have aimed to explore the relationship between DM treatment and the incidence rate of EE are extremely rare. In the present study, we not only analyzed this issue but also stratified several factors and different medication combinations used to treat DM patients by utilizing the National Health Insurance Research Database (NHIRD) in Taiwan over an 11-year span.

Materials and methods

Research database

The National Health Insurance (NHI) program in Taiwan was established in March 1995 to include more than 99% of the residents of Taiwan (approximately 23 million people). The NHIRD is derived from the claims data of the NHI program, is available to the public in electronic format for research purposes, and includes all forms of inpatient, outpatient, and emergency health care services.

Study participants

In the present study, we used the NHIRD to identify outpatients and inpatients in the Longitudinal Health Insurance Database (LHID) who were newly diagnosed with DM according to the International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) code (250 for DM; 360.00–02 for endophthalmitis; and 572 for liver abscess) and were treated with medication from 2000 to 2010. As shown in Fig 1, 26,085 individuals were initially identified, and 1,725 patients were excluded because they had been taking DM medication before 2000, had endophthalmitis diagnosed before 2000, were younger than 18 years old and/or had an unknown sex. A comparison group that was four times larger than the treatment group included individuals who were propensity score matched by sex, age, index date, and history of liver abscesses. To differentiate EE from exogenous endophthalmitis, patients who received intraocular surgeries 6 weeks before the diagnosis of EE were eliminated. The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki.
Fig 1

Flowchart of study sample selection from the National Health Insurance Research Database in Taiwan.

Ethical considerations

The NHIRD provides encrypted personal information. Researchers are required to sign a written agreement declaring that they will not violate patient privacy. Patient consent is not required to access the NHIRD data. The Institutional Review Board of the Tri-Service General Hospital approved this study and waived the consent requirement (TSGHIRB No. 2-105-05-082).

Statistical analysis

Characteristics of the study population at baseline and at the end of follow-up were analyzed. Several factors and different medical DM therapies were further stratified and investigated. We used the mean±standard deviation (SD) to express continuous variables, and normally distributed continuous data related to DM medications or not were compared between groups using Student’s t-test. Categorical variables were compared using either Pearson’s chi-square test or Fisher’s exact test. The latter was used in rare cases in which the expected result was less than 5%. The influence of DM medication on the incidence of EE was examined by using Cox proportional hazards regression models, with hazard ratios and 95% confidence intervals. Statistical significance was defined as P<0.05. All statistical analyses were performed using SPSS software, Version 22.0.

Results

From 2000 to 2010, we identified 26,085 patients who were diagnosed with and treated for DM out of a total of 986,713 outpatients and hospitalized patients (20,795,043 events) from the LHID in Taiwan. We excluded 1,725 patients because they were diagnosed with DM before 2000, were diagnosed with endophthalmitis before tracking, were under 18 years old, or were of unknown sex. Of the remaining 24,360 patients, EE occurred in 17 individuals over the span of 11 years of tracking (from Jan. 1, 2000, to Dec. 31, 2010). The incidence rate was 0.07% (17/24,360). We also identified a comparison group that was four times greater than the control group (97,440 individuals); this group included individuals who were newly diagnosed with DM and were not treated with medication, using the same exclusion criteria as mentioned above, and who were matched by sex, age, index date and history of liver abscesses. In this comparison group that was followed-up for 11 years, 109 individuals (incidence rate, 0.11%) were subsequently diagnosed with EE (Fig 1). The Kaplan-Meier (KM) plot in Fig 2 shows the cumulative incidence of EE stratified by medication use, demonstrating that DM patients who were treated with medication had a lower risk of developing EE (log-rank test, P = 0.002).
Fig 2

Kaplan-Meier curve for the cumulative incidence of endogenous endophthalmitis among patients aged 18 and stratified by medication use with the log-rank test.

Of the total 121,800 patients with DM, 24,360 were treated with medication (20%) and 97,440 were not (80%, 4-fold greater number of patients than in the treatment group). The groups were sex- and age-matched (P = 0.999) at the baseline of the study. The comorbidity of liver abscessation was also controlled for, and there was no significant difference between these 2 groups at baseline. However, comorbidities of hypertension, depression, renal disease, and tumors occurred less frequently in patients with DM who were treated with medication than in those the control group at the baseline of the study. Comorbidities of hyperlipidemia and thyrotoxicosis occurred more frequently in patients with DM who were treated with medication than in those in the control group (S1 Table). At the end of follow-up in this study, the incidence rate of EE was 0.07% (17/24,360) in patients with DM who were treated with medication, which was significantly lower than the incidence in the control group (0.11%) (P = 0.043). Patients with DM who were treated with medication were older (67.89±13.66 years old) than those in the control group (67.40±13.73 years old), and the difference was statistically significant (P<0.001). Comorbidities of depression, anxiety, and tumors occurred less frequently in patients with DM who were treated with medication than in those in the control group. On the other hand, comorbidities of hyperlipidemia, septicemia, and pneumonia occurred more frequently in patients with DM who were treated with medication than in those in the control group (S2 Table). Different factors were analyzed and the adjusted hazard ratios (AHRs) were calculated by using Cox regression (Table 1). Diabetic patients who were treated with medication had lower AHRs (0.47-fold lower) than those in the control group (P = 0.004). Neither sex nor age significantly influenced the AHRs. The group of patients with a comorbidity of liver abscessation had a significant higher AHR (17.615-fold higher) than patients without liver abscesses (P<0.001). Comorbidities of hypertension, renal disease, pneumonia, and tumors, however, had lower AHRs.
Table 1

Factors of endogenous endophthalmitis determined using cox regression.

VariablesCrude HR95% CI95% CIPAdjusted HR95% CI95% CIP
Medication
WithoutReferenceReference
With0.4580.2750.7640.0030.4700.2820.7840.004
Sex
Male1.1610.8171.6510.4051.1160.7801.5950.548
FemaleReferenceReference
Age group (years)
18–44ReferenceReference
45–640.8580.4621.5960.6291.1430.6122.1370.675
≥650.4440.2370.8310.0110.7470.3921.4220.375
Liver abscess
WithoutReferenceReference
With4.5342.4418.419<0.00117.6159.23633.595<0.001
HT
WithoutReferenceReference
With0.4920.3230.7490.0010.4430.2880.680<0.001
Depression
WithoutReferenceReference
With1.7660.4377.1390.4251.2790.3155.1950.731
Anxiety
WithoutReferenceReference
With0.000---0.000---
Renal disease
WithoutReferenceReference
With0.2820.1040.7640.0130.2730.1000.7420.011
Hyperlipidemia
WithoutReferenceReference
With0.000---0.000---
Thyrotoxicosis
WithoutReferenceReference
With0.000---0.000---
Septicemia
WithoutReferenceReference
With0.7270.3921.3500.3130.7130.3761.3520.300
Pneumonia
WithoutReferenceReference
With0.3790.1770.8130.0130.3730.1710.8740.013
Liver disease
WithoutReferenceReference
With0.9240.4511.8910.8281.0390.4942.1870.919
Tumor
WithoutReferenceReference
With0.2140.0790.5800.0020.1640.0600.446<0.001
CCI_R0.4330.2560.7310.0020.3260.2050.520<0.001

HR = hazard ratio; CI = confidence interval; Adjusted HR = adjusted hazard ratio (adjusted for the variables listed in the table)

HR = hazard ratio; CI = confidence interval; Adjusted HR = adjusted hazard ratio (adjusted for the variables listed in the table) Several factors were stratified, and the AHRs were analyzed individually (Table 2) to explore whether specific factors affected the incidence of EE. The results showed that DM patients of both genders who were treated with medication had lower AHRs than those in the control group. Additionally, the female group had a lower AHR than the male group (0.363 vs. 0.562-fold lower). In terms of the age subgroups, all of them showed significantly lower AHRs if treated with medication. Furthermore, all of the comorbidities analyzed in our study displayed no statistically significant differences in AHRs except liver abscess (0.299-fold lower) and liver disease (0.442-fold lower). However, interestingly, patients without comorbidities of liver abscesses, hypertension, depression, anxiety, renal disease, hyperlipidemia, thyrotoxicosis, septicemia, pneumonia, liver disease, and tumors had lower AHRs among patients with DM who were treated with medication than those in the control group (all P<0.05).
Table 2

Factors of endogenous endophthalmitis stratified by the variables listed in the table and evaluated using cox regression.

Medication (with vs. without)WithWithoutRatioAdjusted HR95% CI95% CIP
StratifiedEventRate (per 105 PYs)EventRate (per 105 PYs)
Total1713.17210921.8710.6020.4700.2820.7840.004
Sex
Male1116.6326023.1160.7200.5620.3370.9370.026
Female69.5354920.5190.4650.3630.2180.6050.001
Age group (years)
18–4400.0001243.9700.0000.000---
45–64921.9205130.4350.7200.5620.3370.9380.029
≥6589.7244615.1560.6420.5010.3000.8350.001
Liver abscess
Without1612.6319920.2380.6240.4870.2920.813<0.001
With141.75910108.8300.3840.2990.1800.500<0.001
HT
Without1215.4208627.9610.5510.4300.2580.718<0.001
With59.7582312.0540.8090.6320.3791.0540.296
Depression
Without1713.26010721.6780.6120.4770.2860.796<0.001
With00.000241.7850.0000.000---
Anxiety
Without1713.20510921.9390.6020.4700.2820.7840.004
With00.00000.000-----
Renal disease
Without1513.01110724.0950.5400.4210.2530.703<0.001
With214.52223.6833.9433.0770.8469.1320.467
Hyperlipidemia
Without1714.03310923.1680.6060.4700.2820.7840.004
With00.00000.000-----
Thyrotoxicosis
Without1713.40210922.2680.6020.4700.2820.7840.004
With00.00000.000-----
Septicemia
Without1513.11610022.6500.5790.4520.2710.754<0.001
With213.603915.8240.8600.6710.4031.1190.834
Pneumonia
Without1513.47510424.0590.5600.4370.2620.729<0.001
With211.27257.5641.4901.1630.6981.9400.862
Liver disease
Without1613.24510221.9060.6050.4720.2830.787<0.001
With112.099721.3830.5660.4420.2650.737<0.001
Tumor
Without1714.82310521.8710.6020.4840.2900.8070.001
With00.000423.1160.7200.000--0.965

PYs = person-years; Adjusted HR = adjusted hazard ratio (adjusted for the variables listed in Table 2); CI = confidence interval.

PYs = person-years; Adjusted HR = adjusted hazard ratio (adjusted for the variables listed in Table 2); CI = confidence interval. We further stratified several DM medications and analyzed the AHRs separately. The results revealed that patients treated with single-agent DM treatment with insulin (AHR of 0.383, P = 0.001), metformin (AHR of 0.456, P<0.001), gliclazide (AHR of 0.264, P<0.001), glimepiride (AHR of 0.257, P<0.001), or repaglinide (AHR of 0.544, P = 0.019) had lower AHRs than those in the control group. Patients who were treated with combination medical treatment with glimepiride/metformin (AHR of 0.257, P<0.001) or repaglinide/metformin (AHR of 0.544, P = 0.013) also had lower AHRs than those in the control group. However, the rest of the single-agent DM treatments and combinations were not statistically significantly different in terms of AHRs (Table 3).
Table 3

Factors of endogenous endophthalmitis stratified by medication subgroup and evaluated using cox regression.

Medication (With vs. without)WithWithoutRatioAdjusted HR95% CI95% CIP
Medication subgroupEventRate (per 105 PYs)EventRate (per 105 PYs)
Total1713.17210921.8710.6020.4700.2820.7840.004
Insulin1110.74510921.8710.4910.3830.2300.6400.001
Insulin+lispro0-10921.871-----
Insulin+aspart424.09710921.8711.1020.8600.5161.4340.702
Insulin+glulisine0-10921.871-----
Insulin+isophane0-10921.871-----
Insulin+glargine0-10921.871-----
Insulin+detemir0-10921.871-----
Metformin1212.78710921.8710.5850.4560.2740.761<0.001
Gliclazide37.39510921.8710.3380.2640.1580.440<0.001
Glimepiride37.19910921.8710.3290.2570.1540.428<0.001
Glimepiride+metformin37.19910921.8710.3290.2570.1540.428<0.001
Glyburide+metformin917.40110921.8710.7960.6210.3731.0360.384
Sitagliptin+metformin121.86510921.8711.0000.7800.4681.3010.472
Vildagliptin+metformin0-10921.871-----
Saxagliptin+metformin0-10921.871-----
Linagliptin+metformin0-10921.871-----
Repaglinide+metformin415.24910921.8710.6970.5440.3260.9080.013
Acarbose0-10921.871-----
Miglitol0-10921.871-----
Pioglitazone0-10921.871-----
Sitagliptin121.86510921.8711.0000.7800.4681.3010.269
Vildagliptin0-10921.871-----
Saxagliptin0-10921.871-----
Alogliptin0-10921.871-----
Linagliptin0-10921.871-----
Exenatide0-10921.871-----
Liraglutide0-10921.871-----
Dulaglutide0-10921.871-----
Dapagliflozin0-10921.871-----
Empagliflozin0-10921.871-----
Repaglinide415.24910921.8710.6970.5440.3260.9080.019
Nateglinide0-10921.871-----
Mitiglinide0-10921.871-----

PYs = person-years; Adjusted HR = adjusted hazard ratio (adjusted for the variables listed in Table 3); CI = confidence interval.

PYs = person-years; Adjusted HR = adjusted hazard ratio (adjusted for the variables listed in Table 3); CI = confidence interval.

Discussion

Endophthalmitis is defined as ocular inflammation particularly affecting the uveal tissue. In most cases in clinical practice, it refers to an intraocular infection caused by microorganisms. According to its pathogenesis, endophthalmitis is divided into endogenous and exogenous subtypes. Several review studies have been published and revealed that EE is associated with many systemic risk factors, including chronic immunocompromising illnesses (DM and renal failure), indwelling or long-term intravenous catheters, immunosuppressive diseases and therapies (malignancies, human immunodeficiency virus infections, and treatment with chemotherapeutic agents), recent invasive surgery, endocarditis, gastrointestinal procedures, hepatobiliary tract infections, and intravenous drug abuse [15-24]. The reason for the occurrence of EE in DM patients may be related to blood-retinal barrier (BRB) breakdown. High serum glucose levels can cause cell dysfunction, and pericytes are the key damaged cells in retinal vessels. Several mechanisms are involved in this diabetic microangiopathy, including loss of tight junction integrity, damage due to advanced glycation end products, oxidative stress, vascular endothelial growth factor synthesis and inflammatory processes. Under these conditions, the BRB becomes disrupted, and vascular permeability is subsequently increased, resulting in substantial leakage or microorganism infiltration through the BRB and into retinal tissue [25-28]. To the best of our knowledge, no studies have evaluated the relationship between glycemic control with different kinds of DM medication and the incidence of EE. In this study, we evaluated 24,360 patients who were newly diagnosed with DM and treated with medications from 2000–2010 in the LHID in Taiwan. The control group was four times larger than the treatment group and included 97,440 patients with DM who were not treated with medication and were matched to the patients in the treatment group (Fig 1). A KM analysis revealed the cumulative incidence of EE in DM patients who were treated with medication and in those who were not (Fig 2). The incidence of EE was significantly lower risk in the treatment group than in the control group (P = 0.002). Some studies have revealed that an extended duration of DM and elevated serum levels of glycosylated hemoglobin (HbA1c) may impair the protective features of the epidermal barrier and delay wound healing in DM patients [1,29,30]. The correlation between the duration of DM and an increase in endogenous bacterial endophthalmitis was demonstrated via an experimental model, supporting the hypothesis that diabetic ocular changes contribute to the development of endogenous bacterial endophthalmitis [31]. In the present study, we demonstrated that treatment in DM patients can decrease the risk of developing EE; however, this result has not been verified in other studies yet. Sex and age were matched between the treatment and control groups (P = 0.999) (S1 Table). At the end of follow-up in this study (S2 Table), the proportions of the two sexes remained the same as at the baseline, while the distribution of ages did not. Patients in the treatment group were older than those in the control group (P<0.001). In terms of age subgroups, a higher proportion of patients in the treatment group were older (>65 years old) than in the control group (P<0.001). This may have resulted from the protective role of medication and adequate blood sugar control, suggesting that medical treatment might postpone the occurrence of EE in DM patients. In terms of comorbidities, we analyzed several factors at baseline and at the end of follow-up. According to DM treatment guidelines, hyperglycemic patients should be treated more aggressively and more strictly when they have comorbidities of hyperlipidemic diseases due to higher risks of stroke and cardiac events. As a result, hyperlipidemia occurred more frequently in the treatment group than in control group both at baseline (P<0.001) and at the end of follow-up (P<0.001). The proportion of patients with comorbidities of septicemia or pneumonia between groups was not significantly different at baseline. Nevertheless, these two comorbidities were more common in patients in the treatment group at the end of follow-up (P = 0.018 for septicemia and P = 0.028 for pneumonia). This phenomenon might suggest that patients with DM who were being treated with medication had a higher and more poorly controlled glycemic status than those who were not being treated with medication; thus, these patients were more likely to suffer from infection (S1 and S2 Tables). We further analyzed the AHRs of several factors, as shown in Table 1. Among the factors we included in this study, medical treatment was the most important one. To date, some studies have suggested that DM is one of the most important predisposing factors for developing endophthalmitis and that it is a worse prognostic indicator [8,32,33]. DM compromises the immune system, increases the risk of infection, causes architectural changes in the eye, and enhances the ability of organisms to invade the eye [1,31,34]. Therefore, in clinical practice, we suggest that blood sugar in DM patients should be aggressively controlled to diminish the incidence of further complications. However, no studies have yet demonstrated whether treatment with medication or not in DM patients affects the incidence of EE. In the present study, we found that the AHR was 0.47-fold lower in the treatment group than in the control group (P = 0.004). This result suggests that doctors in clinical practice should treat DM patients earlier or more strictly to prevent EE. Neither sex nor age was significantly different in terms of AHRs. Nevertheless, some factors were still significantly different. First, a history of liver abscesses was the only factor that increased AHR significantly in our study. This is understandable because in Asian countries a high proportion of endogenous endophthalmitis is caused by Klebsiella pneumonia liver abscesses [17,35]. Accordingly, patients diagnosed with liver abscesses tended to have a higher risk of developing EE. Second, patients with comorbidities of hypertension, renal disease, or neoplastic disease had lower AHRs than those without these comorbidities (0.443-fold, 0.273-fold, 0.164-fold lower, respectively). This may be because these patients need regular clinical evaluations. At each clinical evaluation, patients may mention discomfort or symptoms, particularly new-onset disturbances. These complaints may alert clinicians to consider more diagnostics. Third, a comorbidity of pneumonia was associated with a lower AHR (0.373-fold lower, P = 0.013) in terms of the incidence of EE. Most cases of pneumonia were caused by bacterial infections and were treated with antibiotics. In patients with more severe pneumonia, those with more comorbidities, or those treated at tertiary medical centers, a broad-spectrum antibiotic was usually prescribed. This phenomenon is particularly prominent in Taiwan. Therefore, antibiotics in the bloodstream in pneumonia patients may play a therapeutic role during infectious episodes, such as during EE episodes (Table 1). We further stratified several variable factors and analyzed their AHRs between the treatment and control groups. Some interesting results were found. First, in DM patients of both genders, those treated with medication had lower AHRs (0.562-fold in males and 0.363-fold in females) than DM patients who were not treated with medication. Second, in DM patients with the comorbidities of liver abscess and liver disease, the treatment group had lower AHRs (0.299 and 0.442-fold) than the control group. Thus, we can emphasize the importance of medication in DM patients especially in those with comorbid liver abscess and liver disease. Third, for rest of the diseases we analyzed, patients without these comorbidities (such as hypertension, renal disease, septicemia, pneumonia, and tumors) had lower AHRs in terms of the incidence of EE if they were treated with DM medications (all P<0.05). DM patients with other underlying diseases usually had worse in systemic conditions and bore more disease burdens. On the other hand, uncomplicated DM individuals had more advantages in terms of decreased AHRs for EE if they were treated with DM medications, according to this finding. Therefore, DM medication may be a protective factor for EE particularly in DM patients without comorbidities (Table 2). Different DM medications were also utilized to stratify the patients and analyzed (Table 3). We found that single-agent therapy with some specific medications, such as insulin, metformin, gliclazide, glimepiride, and repaglinide, were associated with lower AHRs. To explain this finding, we may assume that single-agent treatment is usually applied for DM patients during the early stages of disease. Patients with early-stage DM can be controlled well and can have a lower risk of developing EE. On the other hand, combination therapy with glimepiride/metformin and repaglinide/metformin was also associated with lower AHRs (0.257 and 0.544-fold, respectively). This result suggests that clinicians should choose the above medications, no matter single or combination therapy, in patients with advanced DM for the purpose of diminishing the incidence of EE. Although the number of events were relatively low in the present study due to the low incidence of EE, these results may still be valuable as a reference in clinical practice. There are some limitations of the present study. First, this study was conducted with a cohort, case-comparative method, which has less statistical reliability than randomized controlled trials. Second, NHIRD does not offer detailed clinical information regarding clinical manifestations or disease severity, and laboratory findings are lacking, especially HbA1c data, which are particularly essential in diagnosing DM and monitoring disease progression. We wish to conduct another retrospective study in the future to investigate the relationship between HbA1c and EE incidence.

Conclusions

We searched a nationwide research database and evaluated 24,360 DM patients who were treated with medication and a 4 times larger comparison group of patients who were not treated with medication over a span of 11 years. An incidence rate of EE of 0.07% was found in the treatment group. Further, patients in the treatment group had a lower risk of developing EE than those in the control group (log-rank test, P = 0.002). DM patients who were treated with medication had lower AHRs (0.47-fold lower) than those in the control group (P = 0.004). When several factors were stratified individually, we discovered that DM patients with comorbid liver abscess or liver disease who were treated with medication had lower AHRs than those in the control group. In terms of the DM medication stratification test, single-agent therapy with insulin, metformin, gliclazide, glimepiride, and repaglinide and combination therapy with glimepiride/metformin and repaglinide/metformin had lower AHRs.

Characteristics of the study sample at baseline.

(DOC) Click here for additional data file.

Characteristics of the study sample at the end of follow-up.

(DOC) Click here for additional data file. 4 Nov 2019 PONE-D-19-23998 The impact of diabetes mellitus medication on the incidence of endogenous endophthalmitis PLOS ONE Dear Dr. Weng, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. The pateint popultion needs to be better described, and more describtion of the mechanim is needed. We would appreciate receiving your revised manuscript by Dec 19 2019 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. 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We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows: The author(s) received no specific funding for this work. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: In this manuscript, Chien et al. describe the results of a matched cohort study of the incidence of endogenous endophthalmitis (EE) among patients diagnosed with diabetes mellitus (DM). The objective was to determine whether treatment of diabetes is associated with a lower incidence of EE. The authors evaluated 121,800 patients with DM. Among these patients, 24,360 were treated with medication, and 97,440 were not. Single-agent therapy with insulin, metformin, gliclazide, glimepiride, or repaglinide and combination therapy with glimepiride/metformin or repaglinide/metformin were associated with a decreased risk of EE. Neither sex nor age influenced risk, however those patients with liver abscesses were at increased risk relative to patients without liver abscesses. There are a number of issues with this manuscript. The first is that no information was provided on patient diagnosis such as A1C levels or whether the patients were type 1 or 2. Second, it also is not clear why so many patients with diabetes were not being treated. Were they all under dietary control for diabetes, or were they without medication due to lack of compliance or lack of medical care? Finally, the authors were not clear on their rationale for performing this study. Indeed, diabetes mellitus is an underlying risk factor for developing endogenous endophthalmitis, however they were vague in describing the mechanism for this. Another group has demonstrated that this correlation is likely due to the break down of the blood retinal barrier during diabetes development and progression to diabetic rertinopathy, and likely has little to do with keratitis. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 19 Nov 2019 Dear Editor-in-Chief, We very much appreciate the comments and critiques from the reviewers regarding Manuscript ID PONE-D-19-23998, entitled "The impact of diabetes mellitus medication on the incidence of endogenous endophthalmitis". We have performed the additional work requested by the reviewers to improve our manuscript. We have also written point-by-point responses to the reviewers’ comments. Overall, the manuscript has been substantially revised to reflect each of the reviewers’ suggestions. All coauthors have read and approved this manuscript and agreed to fully transfer its copyright to PLOS ONE. I sign for and accept responsibility for this material on behalf of all coauthors. We hope that these changes will make the paper more impactful and that it can be published in your journal in the near future. Thank you for your time and consideration. Sincerely, Ke-Hung Chien, MD Tzu-Heng Weng, MD Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan; No. 325, Section 2, Cheng-Kung Road, Neihu District, Taipei City, 11490, Taiwan, Republic of China. Submitted filename: Response to Reviewers-PONE 20191118.docx Click here for additional data file. 19 Dec 2019 The impact of diabetes mellitus medication on the incidence of endogenous endophthalmitis PONE-D-19-23998R1 Dear Dr. Weng, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Andrew W Taylor, Ph.D. Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: (No Response) ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: (No Response) ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: (No Response) ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: (No Response) ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No 26 Dec 2019 PONE-D-19-23998R1 The impact of diabetes mellitus medication on the incidence of endogenous endophthalmitis Dear Dr. Weng: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Andrew W Taylor Academic Editor PLOS ONE
  34 in total

1.  Risk factors for endogenous endophthalmitis secondary to klebsiella pneumoniae liver abscess: 20-year experience in Southern Taiwan.

Authors:  Shwu-Jiuan Sheu; Ya-Hsin Kung; Tsung-Tien Wu; Fang-Ping Chang; Yu-Harn Horng
Journal:  Retina       Date:  2011-11       Impact factor: 4.256

2.  Epidemiology and Mortality-Related Prognostic Factors in Endophthalmitis.

Authors:  Tzu-Heng Weng; Hsu-Chieh Chang; Chi-Hsiang Chung; Fu-Huang Lin; Ming-Cheng Tai; Chang-Huei Tsao; Ke-Hung Chien; Wu-Chien Chien
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-05-01       Impact factor: 4.799

Review 3.  Systematic review of 342 cases of endogenous bacterial endophthalmitis.

Authors:  Timothy L Jackson; Theodore Paraskevopoulos; Ilias Georgalas
Journal:  Surv Ophthalmol       Date:  2014-06-18       Impact factor: 6.048

Review 4.  Protective factors in diabetic retinopathy: focus on blood-retinal barrier.

Authors:  Conghui Zhang; Hao Wang; Jing Nie; Fang Wang
Journal:  Discov Med       Date:  2014-09       Impact factor: 2.970

Review 5.  Diabetes and postcataract extraction endophthalmitis.

Authors:  Bernard H Doft; Stephen R Wisniewski; Sheryl F Kelsey; Shirley Groer-Fitzgerald
Journal:  Curr Opin Ophthalmol       Date:  2002-06       Impact factor: 3.761

6.  Endogenous endophthalmitis: an 18-year review of culture-positive cases at a tertiary care center.

Authors:  Monica I Binder; Jimmy Chua; Peter K Kaiser; Gary W Procop; Carlos M Isada
Journal:  Medicine (Baltimore)       Date:  2003-03       Impact factor: 1.889

7.  Risk factors predictive of endogenous endophthalmitis among hospitalized patients with hematogenous infections in the United States.

Authors:  Kamyar Vaziri; Suzann Pershing; Thomas A Albini; Darius M Moshfeghi; Andrew A Moshfeghi
Journal:  Am J Ophthalmol       Date:  2014-12-06       Impact factor: 5.258

8.  Endogenous bacterial endophthalmitis. Report of a ten-year retrospective study.

Authors:  A A Okada; R P Johnson; W C Liles; D J D'Amico; A S Baker
Journal:  Ophthalmology       Date:  1994-05       Impact factor: 12.079

Review 9.  Endogenous bacterial endophthalmitis: a 17-year prospective series and review of 267 reported cases.

Authors:  Timothy L Jackson; Susannah J Eykyn; Elizabeth M Graham; Miles R Stanford
Journal:  Surv Ophthalmol       Date:  2003 Jul-Aug       Impact factor: 6.048

Review 10.  Neutrophil function and metabolism in individuals with diabetes mellitus.

Authors:  T C Alba-Loureiro; C D Munhoz; J O Martins; G A Cerchiaro; C Scavone; R Curi; P Sannomiya
Journal:  Braz J Med Biol Res       Date:  2007-08       Impact factor: 2.590

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  2 in total

1.  Females with Diabetes Mellitus Increased the Incidence of Premenstrual Syndrome.

Authors:  Yao-Ming Huang; Wu-Chien Chien; Chun-Gu Cheng; Yin-Han Chang; Chi-Hsiang Chung; Chun-An Cheng
Journal:  Life (Basel)       Date:  2022-05-24

Review 2.  Endogenous Endophthalmitis-The Clinical Significance of the Primary Source of Infection.

Authors:  Małgorzata Gajdzis; Kornelia Figuła; Joanna Kamińska; Radosław Kaczmarek
Journal:  J Clin Med       Date:  2022-02-23       Impact factor: 4.241

  2 in total

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