Image-based algorithms for remote cesarean surgical site infection diagnoses in diverse populations

Active Project Grant Awarded Last action

Award ID
R01HD112403
Recipient
Awarding agency
Obligated
$3,303,517

Award facts

Completion date 46% complete
Place of performance
Chapel Hill, NC 27599, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
Post-cesarean surgical site infections (SSIS) contribute to maternal morbidity and mortality globally; as rates of cesarean delivery increase, so will the number of SSIS. Timely SSI diagnosis and treatment can improve maternal outcomes. However, in many settings, particularly in rural areas, postoperative wound monitoring is challenging due to physical and financial barriers. The overall goal of this proposal is to improve strategies for post-cesarean SSI monitoring by validating and updating two existing image-based diagnostic algorithms. The original algorithms were trained on image-SSI diagnosis dyads collected on women delivering via cesarean in rural rwanda. One algorithm, using visible images (PHOTOGRAPHS), had a 83% sensitivity and 75% specificity. The second algorithm, using thermal images, had 95% sensitivity and 84% specificity. In this proposed research, we will prospectively follow 6,000 women in rwanda, ghana and mexico (2,000 per site) and collect wound images and SSI diagnoses at postoperative day (POD) 10. These sites were chosen because of: a) high SSI rates; B) the potential to integrate an accurate SSI diagnostic algorithm into existing community health worker follow-up programs; and C) the diversity in skin tones across the study sites. Using this data, we will assess the generalizability of the existing visible image and thermal image algorithms, evaluating the sensitivity and specificity overall and by country (aim 1). We will then retrain the algorithm to improve predictive properties across diverse populations, and we will explore adding clinical data to the algorithms to improve accuracy (aim 2). Finally, for a subset of 1,200 women who are SSI negative at POD10, we will reevaluate at POD20 and POD30, and use these image-SSI diagnosis dyads to explore the need for later SSI monitoring and the ability to predict delayed SSIS with images captured at POD10 (aim 3). The culmination of this research will provide strategies for home-based monitoring of cesarean-related SSIS that can accommodate a range of skin tones.

Transactions

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Subawards

Subrecipient Amount Awarded
Beth Israel Deaconess Medical Center, Inc. The Beth Israel Deaconess Hospital investigator will advise the overall science and support the Mexico based components of this research which includes… $46,684
Sociedad Espanola De Beneficencia SOCIEDAD ESPANOLA DE BENEFICENCIA research team will be responsible for supervising all activities carried out by the field teams, ensuring that research… $116,934
The General Hospital Corporation The Massachusetts General Hospital research team will contribute to the overall study design as well as technical guidance in the implementation of study… $52,922
Sociedad Espanola De Beneficencia The research team will meet all the qualifications and training requirements to ensure that all research activities are in line with the study protocol and… $38,195
College Of Health Sciences, University Of Ghana The University of Ghana will be responsible for implementing all aspects of the Ghana-based patient enrollment and follow-up and Ghana-based research… $126,774
Partners In Health A Nonprofit Corporation Partners in Health and its Rwanda-based arm, Inshuti Mu Buzima (IMB) will be responsible for implementing all aspects of the Rwanda-based patient enrollment and… $155,648
Partners In Health A Nonprofit Corporation Through a subcontract agreement with Harvard Medical School, Partners In Health and it's Rwanda-based arm, Inshuti Mu Buzima (IMB), will be responsible for… $76,890
Beth Israel Deaconess Medical Center, Inc. HMS will arrange a subcontract agreement with BIDMC for Dr. Rose Molina. Dr. Molina will be responsible for collaborating on the overall research project and… $46,683
The General Hospital Corporation Dr. Boatin will contribute to the overall study design as well as technical guidance in the implementation of study activities with an emphasis on providing… $45,360
Massachusetts Institute Of Technology Section V. MIT Tasks A. Algorithm Development During the initial year, the MIT Team lead by Dr. Fletcher, shall develop a standalone software library for… $92,491

Quick answers

Who received award R01HD112403?

R01HD112403 was awarded to University Of North Carolina At Chapel Hill by National Institute of Child Health and Human Development (National Institutes of Health) on August 15, 2024.

How much is award R01HD112403 worth?

$3,303,517 has been obligated on R01HD112403.

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