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6 results on '"Konapur A"'

1. Use of furosemide in preterm neonates with acute kidney injury is associated with increased mortality: results from the TINKER registry

Author

Raina, Rupesh, primary, Sethi, Sidharth Kumar, additional, Agrawal, Gopal, additional, Wazir, Sanjay, additional, Bajaj, Naveen, additional, Gupta, Naveen Parkash, additional, Tibrewal, Abhishek, additional, Vadhera, Ananya, additional, Mirgunde, Shishir, additional, Balachandran, Binesh, additional, Sahoo, Jagdish, additional, Afzal, Kamran, additional, Shrivastava, Anubha, additional, Bagla, Jyoti, additional, Krishnegowda, Sushma, additional, Konapur, Ananth, additional, Soni, Kritika, additional, Alhasan, Khalid, additional, McCulloch, Mignon, additional, and Bunchman, Timothy, additional

Published
2023
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2. Validation of the STARZ neonatal acute kidney injury risk stratification score

Author

Sidharth Kumar Sethi, Rupesh Raina, Abhyuday Rana, Gopal Agrawal, Abhishek Tibrewal, Naveen Bajaj, Naveen Parkash Gupta, Shishir Mirgunde, Jagdish Sahoo, Binesh Balachandran, Kamran Afzal, Anubha Shrivastava, Jyoti Bagla, Sushma Krishnegowda, Ananth Konapur, Kritika Soni, Divya Sharma, Amrit Khooblall, Prajit Khooblall, Timothy Bunchman, and Sanjay Wazir

Subjects
ROC Curve, Predictive Value of Tests, Risk Factors, Nephrology, Intensive Care Units, Neonatal, Pediatrics, Perinatology and Child Health, Infant, Newborn, Humans, Acute Kidney Injury, Risk Assessment
Abstract

Neonatal acute kidney injury (AKI) is common in neonatal intensive care units (NICU) and leads to worse outcomes. Stratifying neonates into an "at risk" category allows health care providers to objectively recognize opportunities for improvements in quality of care.The "Neonatal AKI Risk Prediction Scoring" was devised as the "STARZ [Sethi, Tibrewal, Agrawal, Raina, waZir]" Score. The STARZ score was derived from our prior multicentre study analysing risk factors for AKI in neonates admitted to the NICU. This tool includes 10 variables with a total score ranging from 0 to 100 and a cut-off score of 31.5. In the present study, the scoring model has been validated in our multicentre cohort of 744 neonates.In the validation cohort, this scoring model had sensitivity of 82.1%, specificity 91.7%, positive predictive value 81.2%, negative predictive value 92.2% and accuracy 88.8%. Based on the STARZ cut-off score of ≥ 31.5, an area under the receiver operating characteristic (ROC) curve was observed to be 0.932 (95% CI, 0.910-0.954; p 0.001) signifying that the discriminative power was high. In the validation cohort, the probability of AKI was less than 20% for scores up to 32, 20-40% for scores between 33 and 36, 40-60% for scores between 37 and 43, 60-80% for scores between 44 and 49, and ≥ 80% for scores ≥ 50.To promote the survival of susceptible neonates, early detection and prompt interventional measures based on highly evidenced research is vital. The risk of AKI in admitted neonates can be quantitatively determined by the rapid STARZ scoring system. A higher resolution version of the Graphical abstract is available as Supplementary information.

Published
2022
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3. Correction: Neonatal acute kidney injury risk stratification score: STARZ study

Author

Naveen Bajaj, Rohan Dhir, Abhyuday Rana, Anubha Shrivastava, Sushma Krishnegowda, Ananth Konapur, Shishir Mirgunde, Kamran Afzal, Sanjay Wazir, Binesh Balachandran, Rupesh Raina, Gopal Agarwal, Naveen Parkash Gupta, Abhishek Tibrewal, Timothy E. Bunchman, Jagdish Sahoo, Sidharth Kumar Sethi, Kritika Soni, and Jyoti Bagla

Subjects
medicine.medical_specialty, business.industry, Internal medicine, Pediatrics, Perinatology and Child Health, Risk stratification, medicine, Acute kidney injury, business, medicine.disease
Published
2021
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4. Validation of the STARZ neonatal acute kidney injury risk stratification score

Author

Sethi, Sidharth Kumar, primary, Raina, Rupesh, additional, Rana, Abhyuday, additional, Agrawal, Gopal, additional, Tibrewal, Abhishek, additional, Bajaj, Naveen, additional, Gupta, Naveen Parkash, additional, Mirgunde, Shishir, additional, Sahoo, Jagdish, additional, Balachandran, Binesh, additional, Afzal, Kamran, additional, Shrivastava, Anubha, additional, Bagla, Jyoti, additional, Krishnegowda, Sushma, additional, Konapur, Ananth, additional, Soni, Kritika, additional, Sharma, Divya, additional, Khooblall, Amrit, additional, Khooblall, Prajit, additional, Bunchman, Timothy, additional, and Wazir, Sanjay, additional

Published
2022
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5. Correction: Neonatal acute kidney injury risk stratification score: STARZ study

Author

Wazir, Sanjay, primary, Sethi, Sidharth Kumar, additional, Agarwal, Gopal, additional, Tibrewal, Abhishek, additional, Dhir, Rohan, additional, Bajaj, Naveen, additional, Gupta, Naveen Parkash, additional, Mirgunde, Shishir, additional, Sahoo, Jagdish, additional, Balachandran, Binesh, additional, Afzal, Kamran, additional, Shrivastava, Anubha, additional, Bagla, Jyoti, additional, Krishnegowda, Sushma, additional, Konapur, Ananth, additional, Soni, Kritika, additional, Rana, Abhyuday, additional, Bunchman, Timothy, additional, and Raina, Rupesh, additional

Published
2021
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6. Neonatal acute kidney injury risk stratification score: STARZ study

Author

Wazir, Sanjay, primary, Sethi, Sidharth Kumar, additional, Agarwal, Gopal, additional, Tibrewal, Abhishek, additional, Dhir, Rohan, additional, Bajaj, Naveen, additional, Gupta, Naveen Parkash, additional, Mirgunde, Shishir, additional, Sahoo, Jagdish, additional, Balachandran, Binesh, additional, Afzal, Kamran, additional, Shrivastava, Anubha, additional, Bagla, Jyoti, additional, Krishnegowda, Sushma, additional, Konapur, Ananth, additional, Soni, Kritika, additional, Rana, Abhyuday, additional, Bunchman, Timothy, additional, and Raina, Rupesh, additional

Published
2021
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