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282 citation(s) found for "Kashani, Kianoush".

1406: ACUTE KIDNEY INJURY IN CARE TRANSITIONS (ACT) TRIAL: A POST HOC ANALYSIS OF ICU SURVIVORS
Cole, Kristin, Kattah, Andrea G. , Ledet, Caroline, Tinaglia, Angeliki G. , Frazee, Erin N. , May, Heather P. , Cole, Kristin, Griffin, Joan M. , Herges, Joseph R. , Kashani, Kianoush , Ledet, Caroline, McCoy, Rozalina G. , Rule, Andrew D.

Mayo Clinic

Critical Care Medicine | January 31, 2025 | Volume: 53 | Issue: 1 | Pages: No page available

10.1097/01.ccm.0001104288.83709.4e Get It

VALIDATION OF SCAI SHOCK STAGING IN CRITICALLY ILL MEDICAL INTENSIVE CARE UNIT PATIENTS WITH SEPSIS AND SEPTIC SHOCK
Lal, Amos , MUKHTAR, Osama, Jentzer, Jacob, Lal, Amos , Mukhtar, Osama , Jentzer, Jacob C. , Kashani, Kianoush

Mayo Clinic

Journal of Community Hospital Internal Medicine Perspectives | January 5, 2025 | Volume: 15 | Issue: 1 | Pages: No page available

10.55729/2000-9666.1436 | PMID 39867142 Get It

Purpose: This study evaluated the predictive value of SCAI shock staging for mortality in patients with sepsis and septic shock admitted to the medical ICU. Materials and Methods: This is a single-center historical cohort study. We analyzed data for adults (≥ 18-year-old) admitted to the medical ICU at Mayo Clinic St. Mary’s campus with sepsis between June 1, 2018, and December 31, 2021. Sepsis was identified using the Sepsis-III criteria. Patients were stratified based on SCAI shock staging. Our primary outcome was all-cause 30-day mortality. Results: We identified 3,079 eligible adult patients with sepsis or septic shock. The distribution of SCAI shock stages A through E was 9%, 12%, 25%, 49%, and 5%, respectively. The overall 30-day mortality was 24%. There was progression in all outcomes including ICU, hospital and 30-day mortality across SCAI shock stages. However, only SCAI shock stages D and E, had statistically significant adjusted HRs of 1.6 and 3, respectively. When compared to SOFA score, SCAI shock staging performed similarly in predicting ICU mortality with no statistically significant difference in AUCs, p-value of 0.07. Conclusions: Our results support the use of SCAI shock staging in critically ill medical patients with sepsis and septic shock for risk stratification. We propose that the SCAI shock staging may be used as a universal system for grading the severity of shock in critically ill patients regardless of etiology.
Challenges in renally eliminated medication use: Evaluating cystatin C and serum creatinine eGFR discordance
Hernandez, Brandy N., Wieruszewski, Patrick M. , Barreto, Jason N. , Cole, Kristin C., Damani, Shivam, Kane‐Gill, Sandra L. , Kelly, Ellen , Teaford, Hilary R. , Zand, Jaleh , Frazee, Erin N. , Mara, Kristin C. , Frazee, Erin N , Kane-Gill, Sandra L , Mara, Kristin C , Wieruszewski, Patrick M , Kashani, Kianoush , Kelly, Ellen, Rule, Andrew D.

Mayo Clinic

Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy | November 27, 2024 | Volume: 44 | Issue: 12 | Pages: 898-906

10.1002/phar.4627 | PMID 39601345 Get It

AbstractBackgroundAccurately estimating glomerular filtration rate (GFR) is crucial for dosing medications in hospitalized patients. Due to limitations of serum creatinine for GFR estimation, serum cystatin C (CysC) has been explored as an alternative functional kidney biomarker. This study assessed discordance between eGFRCr and eGFRCysC in a large sample of hospitalized patients and examined the frequency of renally eliminated medications affected by eGFR discordance.MethodsThis multisite historical study included adults hospitalized between 2011 and 2023 with CysC and serum creatinine reported within 24 h of each other. The first concurrent biomarker pair for each patient was analyzed. eGFR discordance and use of renally eliminated medications were described.Results17,718 hospitalized patients with concurrent creatinine and CysC assessments were included. The median eGFRCr was 65 mL/min, and the eGFRCysC was 46 mL/min. The median absolute difference of eGFRCr−eGFRCysC was 15 mL/min, and 7972 patients (45%) had a > 30% absolute difference. There was a significantly greater percentage of patients with an eGFR <30 mL/min based on eGFRCysC (26%) compared to eGFRCr (15%) (p < 0.001). Patients were prescribed an average of 20 medications in the 24 h surrounding the concurrent biomarker assessment. Renally eliminated medications accounted for 39% ± 13% of medication orders, and 80% of patients with eGFR discordance were prescribed five or more renally eliminated medications.ConclusionSubstantial eGFR discordance between eGFRCysC and eGFRCr was observed in hospitalized patients, which directly affects the dosing of renally eliminated medications. Further research is needed to optimize the pharmacotherapy of renally eliminated medications with discordant GFR assessments to improve medication safety and effectiveness.
A Multicenter Survey on Artificial Intelligence in Nephrology Education: Insights from Mayo Clinic Fellows
Sheikh, M. Salman, Craici, Iasmina , Prendergast, Mary B., Nair, S. , Cheungpasitporn, Wisit, Thongprayoon, Charat , Qureshi, Fawad , Mao, Michael A. , Hommos, Musab S. , Prendergast, Mary B., Kashani, Kianoush , Cheungpasitporn, Wisit

Mayo Clinic

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024hny91z93 Get It

Implementing the AKI in Care Transitions Program: A Mixed-Methods Study
Ledet, Caroline B., Kattah, Andrea G. , Tinaglia, Angeliki G. , Frazee, Erin N. , May, Heather P. , Ledet, Caroline B., Griffin, Joan M. , Kashani, Kianoush , McCoy, Rozalina G. , Rule, Andrew D.

Mayo Clinic

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024wqzmqjmg Get It

Postfilter Hematocrit Is a Predictor of Continuous Kidney Replacement Therapy Filter Life
Radford, Georgette , Neyra, Javier A. , Radford, Gwyndolyn Maluki, Swee, Melissa L. , Kashani, Kianoush , Yamada, Masaaki , Vaughan‐Sarrazin, Mary , Jalal, Diana , Griffin, Benjamin R.

Mayo Clinic

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.202419fty1ve Get It

Predicting Liberation from Continuous Kidney Replacement Therapy in Critically Ill Patients Using a Machine Learning Model
Alfieri, Francesca , Ancona, Andrea , Zappalá, Simone , Kashani, Kianoush

Mayo Clinic

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.202494h5jahd Get It

Prospective and External Evaluation of an Artificial Intelligence Model for Continuous and Early Prediction of Moderate and Severe AKI in Critically Ill Patients
Alfieri, Francesca , Ancona, Andrea , Zappalá, Simone , Maderna, Laura, Esteban, Federico , Gilavert, M. C., Bacci, Alessandro, Kashani, Kianoush , Votta, Carmine Domenico , Gómez, Josep , Bodí, María A. , Finazzi, Stefano , Bacci, Alessandro, Cauda, Valentina

Mayo Clinic

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024y4e76zq7 Get It

Magnesium Levels and Mortality in Critically Ill Patients with AKI
Thongprayoon, Charat, Singh, Waryaam, Cheungpasitporn, Wisit, Singh, Waryaam , Singh, Waryaam , Suppadungsuk, Supawadee , Thongprayoon, Charat , Cheungpasitporn, Wisit , Kashani, Kianoush

Mayo Clinic

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024atsvep9p Get It

AKI in Care Transitions (ACT): A Randomized Controlled Feasibility Trial
Ledet, Caroline B. , Cole, Kristin C., Kattah, Andrea G. , Tinaglia, Angeliki G. , Frazee, Erin N. , May, Heather P. , Cole, Kristin C., Griffin, Joan M. , Herges, Joseph R. , Kashani, Kianoush , McCoy, Rozalina G. , Rule, Andrew D.

Mayo Clinic

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024znmpnjh6 Get It