Aloka L. Patel

Prof. Aloka L. Patel

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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1 April 2010 in The Journal of Pediatrics
Verified
Journal Article
Closed access
SSSandra Sullivan
Sandra Sullivan
RSRichard J. Schanler
Richard J. Schanler
JKJae Kim
Jae Kim
APAloka L. Patel
Aloka L. Patel
RTRudolf Trawöger
Rudolf Trawöger
ALAlan Lucas
Alan Lucas

31 January 2013 in Journal of Perinatology
Verified
Journal Article
Open access
PDF file
APAloka L. Patel
Aloka L. Patel
TJT J Johnson
T J Johnson
JEJ L Engstrom
J L Engstrom
LFL F Fogg
L F Fogg
BJB J Jegier
B J Jegier
PMP P Meier
P P Meier
Objective: To study the incidence of sepsis and neonatal intensive care unit (NICU) costs as a function of the human milk (HM) dose received during the first 28 days post birth for very low birth weight (VLBW) infants. Study design: Prospective cohort study of 175 VLBW infants. The average daily dose of HM (ADDHM) was calculated from daily nutritional data for the first 28 days post birth (ADDHM-Days 1–28). Other covariates associated with sepsis were used to create a propensity score, combining multiple risk factors into a single metric. Result: The mean gestational age and birth weight were 28.1±2.4 weeks and 1087±252 g, respectively. The mean ADDHM-Days 1–28 was 54±39 ml kg−1 day−1 (range 0–135). Binary logistic regression analysis controlling for propensity score revealed that increasing ADDHM-Days 1–28 was associated with lower odds of sepsis (odds ratio 0.981, 95% confidence interval 0.967–0.995, P=0.008). Increasing ADDHM-Days 1–28 was associated with significantly lower NICU costs. Conclusion: A dose–response relationship was demonstrated between ADDHM-Days 1–28 and a reduction in the odds of sepsis and associated NICU costs after controlling for propensity score. For every HM dose increase of 10 ml kg−1 day−1, the odds of sepsis decreased by 19%. NICU costs were lowest in the VLBW infants who received the highest ADDHM-Days 1–28.

5 April 2017 in Gut
Verified
Journal Article
Closed access
PDF file
CAChloe A Autran
Chloe A Autran
BKBenjamin P Kellman
Benjamin P Kellman
JKJae Kim
Jae Kim
EAElizabeth Asztalos
Elizabeth Asztalos
ABArlin B. Blood
Arlin B. Blood
LBLars Bode
Lars Bode
Objective Necrotising enterocolitis (NEC) is one of the most common and often fatal intestinal disorders in preterm infants. Markers to identify at-risk infants as well as therapies to prevent and treat NEC are limited and urgently needed. NEC incidence is significantly lower in breast-fed compared with formula-fed infants. Infant formula lacks human milk oligosaccharides (HMO), such as disialyllacto-N-tetraose (DSLNT), which prevents NEC in neonatal rats. However, it is unknown if DSLNT also protects human preterm infants. Design We conducted a multicentre clinical cohort study and recruited 200 mothers and their very low birthweight infants that were predominantly human milk-fed. We analysed HMO composition in breast milk fed to infants over the first 28 days post partum, matched each NEC case with five controls and used logistic regression and generalised estimating equation to test the hypothesis that infants who develop NEC receive milk with less DSLNT than infants who do not develop NEC. Results Eight infants in the cohort developed NEC (Bell stage 2 or 3). DSLNT concentrations were significantly lower in almost all milk samples in NEC cases compared with controls, and its abundance could identify NEC cases prior to onset. Aggregate assessment of DSLNT over multiple days enhanced the separation of NEC cases and control subjects. Conclusions DSLNT content in breast milk is a potential non-invasive marker to identify infants at risk of developing NEC, and screen high-risk donor milk. In addition, DSLNT could serve as a natural template to develop novel therapeutics against this devastating disorder.

1 December 2005 in Pediatrics
Verified
Journal Article
Closed access
PDF file
APAloka L. Patel
Aloka L. Patel
JEJanet L. Engstrom
Janet L. Engstrom
PMPaula P. Meier
Paula P. Meier
RKRobert E. Kimura
Robert E. Kimura
Objective. No uniform method for calculating growth velocity (GV) (grams per kilogram per day) among extremely low birth weight (ELBW) infants has been reported. Because the calculation of actual GV is so labor intensive, investigators have estimated GV with varying approaches, making comparisons across studies difficult. This study compares the accuracy of 3 mathematical methods used for estimating average GV, namely, 2-point models using the difference between weights at 2 time points divided by time and weight (either birth weight [BW] or average weight), linear regression models that are normalized for either BW or average weight, and an exponential model. The accuracy of all models was compared with actual GVs calculated from daily weight measures for a group of ELBW infants.

1 February 2013 in The Journal of Pediatrics
Verified
Journal Article
Closed access
Tricia J JohnsonTricia J Johnson
Tricia J Johnson
APAloka L. Patel
Aloka L. Patel
BJBriana J. Jegier
Briana J. Jegier
JEJanet L. Engstrom
Janet L. Engstrom
PMPaula P. Meier
Paula P. Meier

1 March 2010 in Clinics in Perinatology
Verified
Journal Article
Closed access
PMPaula Meier
Paula Meier
JEJanet L. Engstrom
Janet L. Engstrom
APAloka L. Patel
Aloka L. Patel
BJBriana J. Jegier
Briana J. Jegier
NBNicholas E. Bruns
Nicholas E. Bruns