Prediction of New-Onset Diabetes Mellitus within 12 Months after Liver Transplantation-A Machine Learning Approach.

BACKGROUND: Liver transplantation (LT) is a routine therapeutic approach for patients with acute liver failure, end-stage liver disease and/or early-stage liver cancer. While 5-year survival rates have increased to over 80%, long-term outcomes are critically influenced by extrahepatic sequelae of LT and immunosuppressive therapy, including diabetes mellitus (DM). In this study, we used machine learning (ML) to predict the probability of new-onset DM following LT. METHODS: A cohort of 216 LT patients was identified from the Disease Analyzer (DA) database (IQVIA) between 2005 and 2020. Three ML models comprising random forest (RF), logistic regression (LR), and eXtreme Gradient Boosting (XGBoost) were tested as predictors of new-onset DM within 12 months after LT. RESULTS: 18 out of 216 LT patients (8.3%) were diagnosed with DM within 12 months after the index date. The performance of the RF model in predicting the development of DM was the highest (accuracy = 79.5%, AUC 77.5%). It correctly identified 75.0% of the DM patients and 80.0% of the non-DM patients in the testing dataset. In terms of predictive variables, patients' age, frequency and time of proton pump inhibitor prescription as well as prescriptions of analgesics, immunosuppressants, vitamin D, and two antibiotic drugs (broad spectrum penicillins, fluocinolone) were identified. CONCLUSIONS: Pending external validation, our data suggest that ML models can be used to predict the occurrence of new-onset DM following LT. Such tools could help to identify LT patients at risk of unfavorable outcomes and to implement respective clinical strategies of prevention.

Persistence with first-line antihypertensive therapy in Germany: A retrospective cohort study with 2,801,469 patients.

BACKGROUND: The goal of this retrospective cohort study was to investigate 3-year persistence with antihypertensive drug therapy and the association between antihypertensive drug classes and therapy discontinuation risk in Germany. MATERIALS AND METHODS: The present retrospective cohort study was based on the IQVIA longitudinal prescription database (LRx) and included adult outpatients (≥ 18 years) with an initial prescription of antihypertensive monotherapy alone including diuretics (DIU), ß-blockers (BB), calcium channel blockers (CCB), ACE inhibitors (ACEi), and angiotensin II receptor blockers (ARB) in Germany between January 2017 and December 2019 (index date). A Cox proportional hazards regression model was also used to assess the relationship between antihypertensive drug classes and non-persistence adjusted for age and sex. RESULTS: This study included 2,801,469 patients. Patients on ARB monotherapy exhibited the highest persistence within 1 year (39.4%) and 3 years (21.7%) after the index date. Patients on DIU monotherapy showed the lowest persistence (16.5% after 1 year, 6.2% 3 years after the index date). In the overall population, initial monotherapy with DIU (HR: 1.48) was positively associated with monotherapy discontinuation, whereas ARB monotherapy was (HR = 0.74) negatively associated with monotherapy discontinuation compared to BB. However, in the age group > 80, there was a slight negative association between DIU intake and monotherapy discontinuation (HR = 0.91). CONCLUSION: This large cohort study reveals significant differences in 3-year persistence with antihypertensives, which were strongest for ARB and weakest for DIU. However, the differences also depended on age, with much better DIU persistence in the elderly.

Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review.

Glaucoma is a leading cause of irreversible vision impairment globally, and cases are continuously rising worldwide. Early detection is crucial, allowing timely intervention that can prevent further visual field loss. To detect glaucoma an examination of the optic nerve head via fundus imaging can be performed, at the center of which is the assessment of the optic cup and disc boundaries. Fundus imaging is noninvasive and low-cost; however, image examination relies on subjective, time-consuming, and costly expert assessments. A timely question to ask is: "Can artificial intelligence mimic glaucoma assessments made by experts?" Specifically, can artificial intelligence automatically find the boundaries of the optic cup and disc (providing a so-called segmented fundus image) and then use the segmented image to identify glaucoma with high accuracy? We conducted a comprehensive review on artificial intelligence-enabled glaucoma detection frameworks that produce and use segmented fundus images and summarized the advantages and disadvantages of such frameworks. We identified 36 relevant papers from 2011 to 2021 and 2 main approaches: 1) logical rule-based frameworks, based on a set of rules; and 2) machine learning/statistical modeling-based frameworks. We critically evaluated the state-of-art of the 2 approaches, identified gaps in the literature and pointed at areas for future research.

Persistence with tamoxifen and aromatase inhibitors in Germany: a retrospective cohort study with 284,383 patients.

PURPOSE: The aim of this study was to analyze the persistence of women on tamoxifen (TAM) and aromatase inhibitors (AIs) in Germany, and to investigate possible determinants of non-persistence. METHODS: The present retrospective cohort study was based on the IQVIA longitudinal prescription database (LRx). The study included women with an initial prescription of TAM or AIs (anastrozole, letrozole, and exemestane) between January 2016 and December 2020 (index date). Kaplan-Meier analyses were performed to show the persistence for TAM and AI, using a therapy gap of 90 or 180 days, respectively. A multivariable Cox proportional hazards regression model was further used to estimate the relationship between non-persistence and drug prescription (AI versus TAM), age, and the specialty of the physician initiating therapy (gynecologist, oncologist, or general practitioner). RESULTS: Up to 5 years after the index date, only 35.1% of AI and 32.5% of TAM patients were continuing therapy when therapy discontinuation was defined as at least 90 days without therapy. Using a 180-day therapy gap, 51.9% of AI and 50.4% of TAM patients remained on therapy after 5 years. Cox regression models reveal that initial therapy with TAM (HR 1.06, 95% CI 1.04-1.07), therapy initiation by oncologists (HR 1.09, 95% CI 1.07-1.11), or general practitioners (HR 1.24, 95% CI 1.21-1.27) and age ≤ 50 (HR 1.08, 95% CI 1.06-1.10) were significantly associated with an increased risk of therapy discontinuation. CONCLUSION: Overall, the present study indicates that persistence rates are low in all age groups for both TAM and AI treatment. We found several factors (e.g., physician specialty, younger age, and type of endocrine therapy) to be associated with an increased risk for non-persistence.

Validation of a portable, non-mydriatic fundus camera compared to gold standard dilated fundus examination using slit lamp biomicroscopy for assessing the optic disc for glaucoma.

PURPOSE: To evaluate the sensitivity and specificity of a portable non-mydriatic fundus camera to assess the optic disc for glaucoma. METHODS: We conducted a single-site, cross-sectional, observational, instrument validation study. Non-mydriatic fundus photographs centred at the optic disc were obtained from 276 eyes of 68 glaucoma and 70 normal patients, using a portable fundus camera (Smartscope, Optomed, Oulu, Finland). A senior Glaucoma consultant, masked to the patient's study participation, performed a gold standard dilated fundus examination to make the diagnosis of glaucoma. Following this, a mydriatic photograph was taken by a standard table-top fundus camera. All the images were digitalized and de-identified by an independent investigator and presented to two remote graders, masked to the patients, their diagnoses, and photographic modality. Based on individual disc characteristics, a diagnosis of screening positive or negative for glaucoma was made. In the end, the independent investigator re-identified the images. Sensitivity and specificity to detect glaucoma with the undilated Smartscope camera was calculated compared to dilated fundus examination. RESULTS: Grading remote images taken with the portable non-mydriatic fundus camera showed a sensitivity of 96.3% (95% confidence interval (CI): 91.6-98.8%) and 94.8% (95% CI: 89.7-97.9%) and a specificity of 98.5% (95% CI: 94.9-99.8%) and 97.8% (95% CI: 93.9-99.6%) for the two graders respectively as compared to gold standard dilated fundus examination. CONCLUSION: The non-mydriatic Smartscope fundus images have high sensitivity and specificity for diagnosing glaucoma remotely and thus may be an effective tool for use in community outreach programs.

Assessment of Reasons for Presentation in New Primary Glaucoma Patients and Identification of Risk Factors for Late Presentation.

PURPOSE: To evaluate the reasons for seeking care among South Indian primary glaucoma patients and to determine the relationship of various patient characteristics to glaucoma severity at presentation. DESIGN: Cross-sectional study. PARTICIPANTS: One hundred sixty-one new primary open-angle glaucoma (POAG) and primary angle-closure glaucoma (PACG) patients seeking treatment at a tertiary eye hospital. METHODS: After confirmation of diagnosis, participants' clinical information and their reported reasons for presentation were assessed. Data collected include age, gender, education, occupation, rural or urban residence, distance traveled to the hospital, method of transportation, need for an accompanying person, place of screening before referral or whether they came by themselves for testing. Advanced glaucoma was defined by a cup-to-disc ratio of 0.85 or higher in either eye. MAIN OUTCOME MEASURES: The primary outcomes were the various reasons for presentation. The secondary outcome was to determine whether a relationship existed between the patient characteristics mentioned above and presentation with advanced glaucoma. RESULTS: The mean age of the participants was 60.8 years. The primary reason for presentation was defective vision (55.2%) followed by routine ophthalmic evaluation (13%). Sixty-four patients (39.8%) showed advanced glaucoma in at least 1 eye at presentation. Unilateral blindness was noted in 18 patients (11.2%). The mean vertical cup-to-disc ratio was 0.66 (standard deviation [SD], ±0.16) in the better-seeing eye and 0.76 (SD, ±0.12) in the worse-seeing eye. The mean presenting intraocular pressure was 22.9 mmHg in POAG and 25.5 mmHg in PACG patients. Multivariate logistic regression analyses showed that people who are currently unemployed (P < 0.001; odds ratio [OR], 4.19; 95% confidence interval [CI], 1.95-8.99) and rural residence (P = 0.04; OR, 0.46; 95% CI, 0.21-0.99) had greater odds of demonstrating advanced glaucoma at presentation. Presentation with defective vision, older age, and education less than college graduation were associated with greater odds of showing advanced glaucoma in univariate analysis, but not in multivariate analyses. CONCLUSIONS: In a South Indian population, absence of work and rural residence was associated with advanced glaucoma at presentation. The population in whom these risk factors are common should be targeted for screening and outreach.

Elevated episcleral venous pressure and its implications: A case of Radius-Maumenee syndrome.

We report a rare case of dilated episcleral veins with unilateral secondary open-angle glaucoma. Our case highlights the possible differentials to be considered and the systematic investigations to be done while ruling out the etiologies. Radius-Maumenee syndrome is a diagnosis of exclusion. Raised IOP can remain refractory to the medical therapy and conventional trabeculectomy carries higher risk of complications. Here, we discuss the choice of surgical treatment and its implications on management of this secondary open-angle glaucoma.

Validation of a Head-mounted Virtual Reality Visual Field Screening Device.

PRéCIS:: The C3 fields analyzer (CFA) is a moderately reliable perimeter preferred by patients to standard perimetry. While it does not approximate the gold standard, it was sensitive and specific for clinically defined glaucoma (area under the receiving operator characteristic curve=0.77 to 0.86). PURPOSE: Testing the visual field is a vital sign for diagnosing and managing glaucoma. The current gold standard, the Humphrey visual field analyzer (HFA), is large, expensive and can be uncomfortable for some patients. The current study investigated the CFA, a virtual reality head-mounted visual field testing device, as a possible subjective field test for glaucoma screening and eventually glaucoma monitoring. PATIENTS AND METHODS: The CFA presented stimuli in the same 54 positions as the HFA 24-2 SITA Standard test using a suprathreshold algorithm approximating an 18 dB deficit. A total of 157 patients (both controls and glaucoma patients) at the Aravind Eye Hospital, Pondicherry, India, were tested with both devices. RESULTS: The number of stimuli missed on the CFA correlated with HFA mean deviation (r=0.62, P<0.001), and with pattern standard deviation (r=0.36, P<0.001). The area under the receiving operator characteristic curve was 0.77±0.06 for mild glaucoma (HFA mean deviation ≥-6 dB) and 0.86±0.04 for moderate-advanced glaucoma (HFA mean deviation <-6 dB). Patients with an 18 dB or worse deficit at a point in the visual field on the HFA failed to see the CFA stimulus at the same position 38% of the time. CONCLUSIONS: While the CFA did not reliably identify deficits that matched the HFA, it was moderately effective at identifying glaucoma subjects. Further refinements to the device will be required to improve point by point testing performance and screening performance.

Predictors of Photographic Quality with a Handheld Nonmydriatic Fundus Camera Used for Screening of Vision-Threatening Diabetic Retinopathy.

PURPOSE: To analyze predictors of image quality for a handheld nonmydriatic fundus camera used for screening of vision-threatening diabetic retinopathy. METHODS: An ophthalmic photographer at an Aravind Eye Hospital obtained nonmydriatic and mydriatic fundus images from 3 fields in 275 eyes of 155 participants over 13 months using a Smartscope camera (Optomed, Oulu, Finland) and a Topcon tabletop fundus camera (Topcon, Tokyo, Japan). Two fellowship-trained retina specialists graded the images. Repeated-measures logistic regression assessed predictors of the main outcome measure: gradability of the fundus images. RESULTS: Of 2,475 images, 76.2% of the Smartscope nonmydriatic images, 90.1% of the Smartscope mydriatic images, and 92.0% of the Topcon mydriatic images were gradable. Eyes with vitreous hemorrhage (OR = 0.24, p < 0.0001) or advanced cataract (OR = 0.08, p < 0.0001) had decreased odds of image gradability. Excluding eyes with cataract or vitreous hemorrhage, nonmydriatic macular image gradability improved from 68.4% in the first set of 55 eyes to 94.6% in the final set of 55 eyes. CONCLUSION: With sufficient training, paraprofessional health care staff can obtain high-quality images with a portable nonmydriatic fundus camera, particularly in patients with clear lenses and clear ocular media.