Ocular manifestations in renal allograft recipients: An Indian perspective.

Purpose: The aim of this study was to report the ocular findings in renal allograft recipients in India. Methods: A cross-sectional, comprehensive ophthalmic evaluation was performed, at least three months postrenal transplant, in 152 renal allograft recipients for the ocular findings. In addition, ocular findings were assessed for an association with the clinical variables like major etiologies of end-stage renal disease, pre-transplant dialysis duration, post-transplant duration, and dosage of immunosuppressive drugs. Results: 72.36% of the recipients (mean age, 38.16 ± 10.04 years) had at least one ocular finding at 3 ± 2.6 years (range, 0.3-14 years), postrenal transplant. Hypertensive retinopathy was the commonest ocular finding followed by posterior subcapsular cataract (20.4%), nuclear sclerosis (19.7%), diabetic retinopathy (15.1%), dry eye (11.2%), allergic conjunctivitis (9.9%), pterygium (6.6%), open-angle glaucoma (3.3%), meibomitis (3.3%), pinguicula (2.6%), chalazion (1.3%), subconjunctival haemorrhage (1.7%), central serous chorioretinopathy (1.7%), healed ocular toxoplasmosis (1.7%), papilledema (1.7%), and dry ARMD (1.7%). In addition, a significant association existed between some of the ocular findings with major aetiologies of ESRD, post-transplant duration, and dosage of immunosuppressive drugs. However, no association existed between the ocular findings and pre-transplant dialysis duration. Conclusion: Ocular findings are seen in 72.36% of the renal transplant recipients with hypertensive retinopathy being the commonest one. Hence, a mandatory regular ophthalmic screening of the recipients is recommended for an early detection and timely intervention to improve the quality of life.

Olfactory Dysfunction Among Asymptomatic Patients with SARS CoV2 Infection: A Case-Control Study.

Olfactory dysfunction (hyposmia, anosmia) is a well-recognized symptom in patients with coronavirus disease-19 (COVID-19). Studies of olfactory dysfunction in asymptomatic patients have not been reported. We conducted a study looking for the presence of olfactory dysfunction with an objective assessment tool in asymptomatic Covid 19 and compared it with patients with mild COVID-19 and age-matched controls. We recruited 57 male patients each of Mild COVID-19, asymptomatic Covid 19, and healthy controls for the study. All participants underwent evaluation of smell threshold by Butanol Threshold test (BTT) and ability to distinguish common odors by Smell identification test. The scores of each test were recorded on a numerical scale. The participants in all three arms were matched for age, history of smoking, and pre-existing medical conditions. The mean scores of the Butanol Threshold test in Mild COVID-19, asymptomatic Covid 19 and controls were 2.95 ± 2.25 (0-7.5), 3.42 ± 2.23 (0-7.5), and 4.82 ± 1.86 (0-8), respectively. A one-way ANOVA showed a significant difference between groups (df 2, MS 53.78, F 11.94, p < 0.005). Intergroup differences using the student T-test showed significantly low BTT scores in Mild COVID-19 (p < 0.005) and asymptomatic (p < 0.005) as compared to control. BTT scores could not distinguish between asymptomatic patients and control. The smell threshold was impaired in asymptomatic Covid 19 and Mild COVID-19. Butanol Threshold Test score could not differentiate between asymptomatic Covid 19 and controls.

How Robust are our Methods of Detecting Impaired Glomerular Filtration Rate in the Intensive Care Unit?

BACKGROUND: Serum creatinine is not a sensitive marker to assess early loss of renal function in acute kidney injury. Timed creatinine clearance and several formula used to predict glomreular filtration rate have not been validated. METHODS: In a prospective observational study in 50 adult patients admitted to the intensive care unit with apparent normal renal function, we assessed the glomerular filtration rate by the formula methods and timed creatinine clearance. RESULT: The mean serum creatinine was 0.77mg/dl, SD ± 0.15 (range 0.5-1.14 mg/dl). The mean measured creatinine clearance was 87.15 ml/min/1.73m(2), SD ± 20.5 (range 56.9-137 ml/min/1.73m(2)). In 25 (50%) patients, one hour urinary creatinine clearance was <80 ml/min/1.73m(2) and in two (4%) patients, the creatinine clearance was <60 ml/min/1.73m(2). Spearman correlation coefficient and regression analysis revealed a statistically significant correlation for the Cockcroft-Gault and predictive equations when compared with measured creatinine clearance. The differences between the predictive equations and creatinine clearance, as illustrated by the ±95% confidence interval in the Bland-Altman graphs was very significant [Cockcroft- Gault = -40.3 to 17.7 ml/min/ 1.73m(2), Modification of Diet in Renal Disease equation = -46.2 to 30.6 ml/min/1.73m(2) and the simplified Modification of Diet in Renal Disease equation = -72.8 to 24.8 ml/min/1.73m(2)]. CONCLUSION: Formula methods and creatinine clearance are more sensitive than serum creatinine in detecting early phase of acute kidney injury. However, there is no agreement between these methods of glomerular filtration rate estimation.