Eliah aronoff Spencer

Dr. Eliah aronoff Spencer

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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1 May 2021 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
NSNaveen K. Singh
Naveen K. Singh
Partha RayPartha Ray
Partha Ray
ACAaron F. Carlin
Aaron F. Carlin
CMCelestine Magallanes
Celestine Magallanes
SMSydney C Morgan
Sydney C Morgan
DHDrew Hall
Drew Hall

14 January 2021 in PLOS Medicine
Verified
Journal Article
Open access
PDF file
EMEtienne Macedo
Etienne Macedo
UHUlla Hemmila
Ulla Hemmila
SSSanjib Kumar Sharma
Sanjib Kumar Sharma
Rolando Claure Del GranadoRolando Claure Del Granado
Rolando Claure Del Granado
HMHenry Mzinganjira
Henry Mzinganjira
FGfor the ISN 0by25 Trial Study Group
for the ISN 0by25 Trial Study Group
Background: Acute kidney injury (AKI) is increasingly encountered in community settings and contributes to morbidity, mortality, and increased resource utilization worldwide. In low-resource settings, lack of awareness of and limited access to diagnostic and therapeutic interventions likely influence patient management. We evaluated the feasibility of the use of point-of-care (POC) serum creatinine and urine dipstick testing with an education and training program to optimize the identification and management of AKI in the community in 3 low-resource countries.Methods and findings: Patients presenting to healthcare centers (HCCs) from 1 October 2016 to 29 September 2017 in the cities Cochabamba, Bolivia; Dharan, Nepal; and Blantyre, Malawi, were assessed utilizing a symptom-based risk score to identify patients at moderate to high AKI risk. POC testing for serum creatinine and urine dipstick at enrollment were utilized to classify these patients as having chronic kidney disease (CKD), acute kidney disease (AKD), or no kidney disease (NKD). Patients were followed for a maximum of 6 months with repeat POC testing. AKI development was assessed at 7 days, kidney recovery at 1 month, and progression to CKD and mortality at 3 and 6 months. Following an observation phase to establish baseline data, care providers and physicians in the HCCs were trained with a standardized protocol utilizing POC tests to evaluate and manage patients, guided by physicians in referral hospitals connected via mobile digital technology. We evaluated 3,577 patients, and 2,101 were enrolled: 978 in the observation phase and 1,123 in the intervention phase. Due to the high number of patients attending the centers daily, it was not feasible to screen all patients to assess the actual incidence of AKI. Of enrolled patients, 1,825/2,101 (87%) were adults, 1,117/2,101 (53%) were females, 399/2,101 (19%) were from Bolivia, 813/2,101 (39%) were from Malawi, and 889/2,101 (42%) were from Nepal. The age of enrolled patients ranged from 1 month to 96 years, with a mean of 43 years (SD 21) and a median of 43 years (IQR 27–62). Hypertension was the most common comorbidity (418/2,101; 20%). At enrollment, 197/2,101 (9.4%) had CKD, and 1,199/2,101 (57%) had AKD. AKI developed in 30% within 7 days. By 1 month, 268/978 (27%) patients in the observation phase and 203/1,123 (18%) in the intervention phase were lost to follow-up. In the intervention phase, more patients received fluids (observation 714/978 [73%] versus intervention 874/1,123 [78%]; 95% CI 0.63, 0.94;p =0.012), hospitalization was reduced (observation 578/978 [59%] versus intervention 548/1,123 [49%]; 95% CI 0.55, 0.79;p <0.001), and admitted patients with severe AKI did not show a significantly lower mortality during follow-up (observation 27/135 [20%] versus intervention 21/178 [11.8%]; 95% CI 0.98, 3.52;p =0.057). Of 504 patients with kidney function assessed during the 6-month follow-up, de novo CKD arose in 79/484 (16.3%), with no difference between the observation and intervention phase (95% CI 0.91, 2.47;p =0.101). Overall mortality was 273/2,101 (13%) and was highest in those who had CKD (24/106; 23%), followed by those with AKD (128/760; 17%), AKI (85/628; 14%), and NKD (36/607; 6%). The main limitation of our study was the inability to determine the actual incidence of kidney dysfunction in the health centers as it was not feasible to screen all the patients due to the high numbers seen daily.Conclusions: This multicenter, non-randomized feasibility study in low-resource settings demonstrates that it is feasible to implement a comprehensive program utilizing POC testing and protocol-based management to improve the recognition and management of AKI and AKD in high-risk patients in primary care.

1 December 2016 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
ESEliah aronoff Spencer
Eliah aronoff Spencer
AVA.G. Venkatesh
A.G. Venkatesh
ASAlex Sun
Alex Sun
HBHoward Brickner
Howard Brickner
DLDavid Looney
David Looney
DHDrew Hall
Drew Hall

1 June 2017 in Journal of Virological Methods
Verified
Journal Article
Closed access
CCChristoph Carter
Christoph Carter
KAKevan Akrami
Kevan Akrami
DHDrew Hall
Drew Hall
DSDavey Smith
Davey Smith
ESEliah aronoff Spencer
Eliah aronoff Spencer

5 January 2024 in Diabetes Technology & Therapeutics
Verified
Journal Article
Open access
RGRishi Graham
Rishi Graham
LMLars Mueller
Lars Mueller
MMMichelle Manning
Michelle Manning
SHSteph Habif
Steph Habif
LMLaurel H. Messer
Laurel H. Messer
ESEliah aronoff Spencer
Eliah aronoff Spencer
Objective: Severe hypoglycemia (SH) and diabetic ketoacidosis (DKA) remain significant risks with intensive insulin therapy. While these adverse event (AE) rates are generally very low in advanced hybrid closed-loop (AHCL) clinical studies, prospectively collected real-world AE rates are lacking. Research Design and Methods: The Control-IQ Observational (CLIO) study was a single-arm, prospective, longitudinal, postmarket surveillance study of individuals with type 1 diabetes (T1D) age 6 years and older who began the use of t:slim X2 insulin pump with Control-IQ technology in the real-world outpatient setting. AEs were reported monthly over 12 months and were compared to historical data from the T1D Exchange. Patient-reported outcomes were assessed quarterly. All study visits were virtual. Results: Three thousand one hundred fifty-seven participants enrolled from August 2020 through March 2022. Two thousand nine hundred ninety-eight participants completed through 12 months. SH rates were significantly lower than historic rates for children (9.31 vs. 19.31 events/100 patient years, d = 0.29, P < 0.01) and adults (9.77 vs. 29.49 events/100 patient years, d = 0.53, P < 0.01). DKA rates were also significantly lower in both groups. Lower observed rates of AEs occurred independent of baseline hemoglobin A1c or prior insulin delivery method. Time in range 70–180 mg/dL was 70.1% (61.0–78.8) for adults, 61.2% (52.4–70.5) for age 6–13, 60.9% (50.1–71.8) for age 14–17, and 67.3% (57.4–76.9) overall. Reduction in diabetes burden was consistently reported. Conclusions: SH and DKA rates were lower for users of t:slim X2 with Control-IQ technology compared to historical data for both adults and children. Real-world use of this AHCL system proved safe and effective in this virtual study design. The study was registered at clinicaltrials.gov (NCT04503174)

1 August 2015 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
AVA.G. Venkatesh
A.G. Venkatesh
ASAlexander Sun
Alexander Sun
HBHoward Brickner
Howard Brickner
DLDavid Looney
David Looney
DHDrew Hall
Drew Hall
ESEliah aronoff Spencer
Eliah aronoff Spencer