Nithin C Kurra

Dr. Nithin C Kurra


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 March 2022 in Cureus
Verified
Journal Article
Open access
NKNithin C Kurra
Nithin C Kurra
PWPriyanka Isaac Woodard
Priyanka Isaac Woodard
NGNikhila Gandrakota
Nikhila Gandrakota
HGHeli Gandhi
Heli Gandhi
SPSrinivasa Rao Polisetty
Srinivasa Rao Polisetty
GSGayathri Samudrala
Gayathri Samudrala
The prevalence, incidence, and characteristics of bacterial infections in patients infected with severe acute respiratory syndrome coronavirus 2 are not well understood and have been raised as an important knowledge gap. Therefore, our study focused on the most common opportunistic infections/secondary infections/superinfections in coronavirus disease 2019 (COVID-19) patients. This systematic review and meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Eligible studies were identified using PubMed/Medline since inception to June 25, 2021. Studies meeting the inclusion criteria were selected. Statistical analysis was conducted in Review Manager 5.4.1. A random-effect model was used when heterogeneity was seen to pool the studies, and the result was reported as inverse variance and the corresponding 95% confidence interval. We screened 701 articles comprising 22 cohort studies which were included for analysis. The pooled prevalence of opportunistic infections/secondary infections/superinfections was 16% in COVID-19 patients. The highest prevalence of secondary infections was observed among viruses at 33%, followed by bacteria at 16%, fungi at 6%, and 25% among the miscellaneous group/wrong outcome. Opportunistic infections are more prevalent in critically ill patients. The isolated pathogens included Epstein-Barr virus, Pseudomonas aeruginosa, Escherichia coli, Acinetobacter baumannii, Hemophilus influenza, and invasive pulmonary aspergillosis. Large-scale studies are required to better identify opportunistic/secondary/superinfections in COVID-19 patients.

23 September 2024 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
NKNithin C Kurra
Nithin C Kurra
NGNikhila Gandrakota
Nikhila Gandrakota
MRManju Ramakrishnan
Manju Ramakrishnan
KSKavya Sudireddy
Kavya Sudireddy
NBNaga Vijaya Lakshmi Divya Boorle
Naga Vijaya Lakshmi Divya Boorle
DJDinesh Jillella
Dinesh Jillella
Objectives: Evidence shows that obstructive sleep apnea (OSA) is associated with the development of stroke. This study investigates the relationship between OSA and post-stroke complications, addressing the limited data on how OSA influences the severity and development of these complications through a systematic review of existing literature. Methods: Data was collected from PubMed, Web of Science, and Scopus databases up to December 2023. Studies meeting the inclusion criteria were selected, and statistical analyses were performed using Review Manager 5.4.1. A random-effects model was used for pooling data with heterogeneity, and findings were presented using standard ratios with 95% confidence intervals. Results: The analysis included nine studies. Stroke patients with OSA did not show a significantly higher risk of post-stroke complications, which include mild cognitive impairment, dementia, insomnia, fatigue, reduced sleep quality, depression, anxiety, recurrent strokes, and death, compared with those without OSA (RR = 1.05, 95% CI 0.97 to 1.13). However, patients with high stroke severity and OSA had a slightly higher risk of post-stroke complications (RR = 1.06, 95% CI 1.01 to 1.12). Conclusions: This systematic review and meta-analysis suggests that OSA confers a higher risk of post-stroke complications in patients with high stroke severity. Further studies are required to explore the impact of OSA on post-stroke complications.

1 May 2022 in Cureus
Verified
Journal Article
Open access
NKNithin C Kurra
Nithin C Kurra
KSKrithika Sriram
Krithika Sriram
NGNikhila Gandrakota
Nikhila Gandrakota
JNJai Sivanandan Nagarajan
Jai Sivanandan Nagarajan
SKSujoy Khasnavis
Sujoy Khasnavis
GSGayathri Samudrala
Gayathri Samudrala
This study was conducted to review relevant articles and demonstrate the prevalence of coronavirus disease 2019 (COVID-19) reinfection among healthcare workers (HCWs). A systemic search was conducted on PubMed and Medline from their inception to July 17, 2021. All statistical analyses were conducted using ReviewManager 5.4.1. Studies meeting the following inclusion criteria were selected: (a) articles having HCWs with COVID-19; (b) studies describing reinfection of COVID-19; and (c) articles having a defined number of patients and controls. Three studies were selected for meta-analysis. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the cohort studies. NOS scores of 1-5 were considered high risk for bias, scores of 6-7 were deemed moderate, and scores >7 were considered low risk for bias. A random-effect model was used when heterogeneity was seen to pool the studies, and the results were reported in inverse variance (IV) and corresponding 95% confidence interval (CI). Pooled prevalence of reinfection of COVID-19 in HCWs was 3% (OR: 0.03 [-0.04, 0.01]; p=0.44; I2=4%). A non-significant prevalence was found among the healthcare professionals in terms of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection in Europe. The preformed antibodies were protective against reinfection. However, the waning of antibodies with respect to time was evident, varying differently in different individuals, thereby resulting in reinfection.