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  1. Article ; Online: Correction

    J. Austin Lee / Kexin Qu / Monique Gainey / Samika S. Kanekar / Meagan A. Barry / Sabiha Nasrin / Nur H. Alam / Christopher H. Schmid / Adam C. Levine

    Tropical Medicine and Health, Vol 50, Iss 1, Pp 1-

    Continuous diagnostic models for volume deficit in patients with acute diarrhea

    2022  Volume 3

    Keywords Arctic medicine. Tropical medicine ; RC955-962
    Language English
    Publishing date 2022-09-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease

    Alicia E. Genisca / Tzu-Chun Chu / Lawrence Huang / Monique Gainey / Moyinoluwa Adeniji / Eta N. Mbong / Stephen B. Kennedy / Razia Laghari / Fiston Nganga / Rigo F. Muhayangabo / Himanshu Vaishnav / Shiromi M. Perera / Andrés Colubri / Adam C. Levine / Ian C. Michelow

    Emerging Infectious Diseases, Vol 28, Iss 6, Pp 1189-

    2022  Volume 1197

    Abstract: Rapid diagnostic tools for children with Ebola virus disease (EVD) are needed to expedite isolation and treatment. To evaluate a predictive diagnostic tool, we examined retrospective data (2014–2015) from the International Medical Corps Ebola Treatment ... ...

    Abstract Rapid diagnostic tools for children with Ebola virus disease (EVD) are needed to expedite isolation and treatment. To evaluate a predictive diagnostic tool, we examined retrospective data (2014–2015) from the International Medical Corps Ebola Treatment Centers in West Africa. We incorporated statistically derived candidate predictors into a 7-point Pediatric Ebola Risk Score. Evidence of bleeding or having known or no known Ebola contacts was positively associated with an EVD diagnosis, whereas abdominal pain was negatively associated. Model discrimination using area under the curve (AUC) was 0.87, which outperforms the World Health Organization criteria (AUC 0.56). External validation, performed by using data from International Medical Corps Ebola Treatment Centers in the Democratic Republic of the Congo during 2018–2019, showed an AUC of 0.70. External validation showed that discrimination achieved by using World Health Organization criteria was similar; however, the Pediatric Ebola Risk Score is simpler to use.
    Keywords Ebola virus disease ; risk prediction score ; children ; viruses ; West Africa ; Medicine ; R ; Infectious and parasitic diseases ; RC109-216
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher Centers for Disease Control and Prevention
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Continuous diagnostic models for volume deficit in patients with acute diarrhea

    J. Austin Lee / Kexin Qu / Monique Gainey / Samika S. Kanekar / Meagan A. Barry / Sabiha Nasrin / Nur H. Alam / Christopher H. Schmid / Adam C. Levine

    Tropical Medicine and Health, Vol 49, Iss 1, Pp 1-

    2021  Volume 11

    Abstract: Abstract Background Episodes of acute diarrhea lead to dehydration, and existing care algorithms base treatment around categorical estimates for fluid resuscitation. This study aims to develop models for the percentage dehydration (fluid deficit) in ... ...

    Abstract Abstract Background Episodes of acute diarrhea lead to dehydration, and existing care algorithms base treatment around categorical estimates for fluid resuscitation. This study aims to develop models for the percentage dehydration (fluid deficit) in individuals with acute diarrhea, to better target treatment and avoid the potential sequelae of over or under resuscitation. Methods This study utilizes data from two prospective cohort studies of patients with acute diarrhea in Dhaka, Bangladesh. Data were collected on patient arrival, including weight, clinical signs and symptoms, and demographic information. Consecutive weights were obtained to determine the true volume deficit of each patient. Data were entered into two distinct forward stepwise regression logistic models (DHAKA for under 5 years and NIRUDAK for 5 years and over). Results A total of 782 patients were included in the final analysis of the DHAKA data set, and 2139 were included in the final analysis of the NIRUDAK data set. The best model for the DHAKA data achieved an R 2 of 0.27 and a root mean square error (RMSE) of 3.7 (compared to R 2 of 0.06 and RMSE of 5.5 with the World Health Organization child care algorithm) and selected 6 predictors. The best performance model for the NIRUDAK data achieved an R 2 of 0.28 and a RMSE of 2.6 (compared to R 2 of 0.08 and RMSE of 4.3 with the World Health Organization adolescent/adult care algorithm) and selected 7 predictors with 2 interactions. Conclusions These are the first mathematical models for patients with acute diarrhea that allow for the calculation of a patient’s percentage dehydration (fluid deficit) and subsequent targeted treatment with fluid resuscitation. These findings are an improvement on existing World Health Organization care algorithms.
    Keywords Acute diarrhea ; Dehydration ; Rehydration ; Fluid deficit ; Regression model ; Arctic medicine. Tropical medicine ; RC955-962
    Subject code 310
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Effect of Recombinant Vesicular Stomatitis Virus–Zaire Ebola Virus Vaccination on Ebola Virus Disease Illness and Death, Democratic Republic of the Congo

    Neil Rupani / Mbong Eta Ngole / J. Austin Lee / Adam R. Aluisio / Monique Gainey / Shiromi M. Perera / Lina Kashibura Ntamwinja / Ruffin Mbusa Matafali / Rigo Fraterne Muhayangabo / Fiston Nganga Makoyi / Razia Laghari / Adam C. Levine / Alexis S. Kearney

    Emerging Infectious Diseases, Vol 28, Iss 6, Pp 1180-

    2022  Volume 1188

    Abstract: We conducted a retrospective cohort study to assess the effect vaccination with the live-attenuated recombinant vesicular stomatitis virus–Zaire Ebola virus vaccine had on deaths among patients who had laboratory-confirmed Ebola virus disease (EVD). We ... ...

    Abstract We conducted a retrospective cohort study to assess the effect vaccination with the live-attenuated recombinant vesicular stomatitis virus–Zaire Ebola virus vaccine had on deaths among patients who had laboratory-confirmed Ebola virus disease (EVD). We included EVD-positive patients coming to an Ebola Treatment Center in eastern Democratic Republic of the Congo during 2018–2020. Overall, 25% of patients vaccinated before symptom onset died compared with 63% of unvaccinated patients. Vaccinated patients reported fewer EVD-associated symptoms, had reduced time to clearance of viral load, and had reduced length of stay at the Ebola Treatment Center. After controlling for confounders, vaccination was strongly associated with decreased deaths. Reduction in deaths was not affected by timing of vaccination before or after EVD exposure. These findings support use of preexposure and postexposure recombinant vesicular stomatitis virus–Zaire Ebola virus vaccine as an intervention associated with improved death rates, illness, and recovery time among patients with EVD.
    Keywords Ebola virus ; recombinant vesicular stomatitis virus–Zaire Ebola virus ; rVSV-ZEBOV ; viruses ; hemorrhagic fever ; Ebola ; Medicine ; R ; Infectious and parasitic diseases ; RC109-216
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher Centers for Disease Control and Prevention
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Derivation of the first clinical diagnostic models for dehydration severity in patients over five years with acute diarrhea.

    Adam C Levine / Meagan A Barry / Monique Gainey / Sabiha Nasrin / Kexin Qu / Christopher H Schmid / Eric J Nelson / Stephanie C Garbern / Mahmuda Monjory / Rochelle Rosen / Nur H Alam

    PLoS Neglected Tropical Diseases, Vol 15, Iss 3, p e

    2021  Volume 0009266

    Abstract: Diarrheal diseases lead to an estimated 1.3 million deaths each year, with the majority of those deaths occurring in patients over five years of age. As the severity of diarrheal disease can vary widely, accurately assessing dehydration status remains ... ...

    Abstract Diarrheal diseases lead to an estimated 1.3 million deaths each year, with the majority of those deaths occurring in patients over five years of age. As the severity of diarrheal disease can vary widely, accurately assessing dehydration status remains the most critical step in acute diarrhea management. The objective of this study is to empirically derive clinical diagnostic models for assessing dehydration severity in patients over five years with acute diarrhea in low resource settings. We enrolled a random sample of patients over five years with acute diarrhea presenting to the icddr,b Dhaka Hospital. Two blinded nurses independently assessed patients for symptoms/signs of dehydration on arrival. Afterward, consecutive weights were obtained to determine the percent weight change with rehydration, our criterion standard for dehydration severity. Full and simplified ordinal logistic regression models were derived to predict the outcome of none (<3%), some (3-9%), or severe (>9%) dehydration. The reliability and accuracy of each model were assessed. Bootstrapping was used to correct for over-optimism and compare each model's performance to the current World Health Organization (WHO) algorithm. 2,172 patients were enrolled, of which 2,139 (98.5%) had complete data for analysis. The Inter-Class Correlation Coefficient (reliability) was 0.90 (95% CI = 0.87, 0.91) for the full model and 0.82 (95% CI = 0.77, 0.86) for the simplified model. The area under the Receiver-Operator Characteristic curve (accuracy) for severe dehydration was 0.79 (95% CI: 0.76-0.82) for the full model and 0.73 (95% CI: 0.70, 0.76) for the simplified model. The accuracy for both the full and simplified models were significantly better than the WHO algorithm (p<0.001). This is the first study to empirically derive clinical diagnostic models for dehydration severity in patients over five years. Once prospectively validated, the models may improve management of patients with acute diarrhea in low resource settings.
    Keywords Arctic medicine. Tropical medicine ; RC955-962 ; Public aspects of medicine ; RA1-1270
    Subject code 610
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Perceptions toward Ebola vaccination and correlates of vaccine uptake among high-risk community members in North Kivu, Democratic Republic of the Congo

    Shiromi M. Perera / Stephanie Chow Garbern / Eta Ngole Mbong / Monica K. Fleming / Rigobert Fraterne Muhayangabo / Arsene Baleke Ombeni / Shibani Kulkarni / Dieula Delissaint Tchoualeu / Ruth Kallay / Elizabeth Song / Jasmine Powell / Monique Gainey / Bailey Glenn / Ruffin Mitume Mutumwa / Stephane Hans Bateyi Mustafa / Giulia Earle-Richardson / Rena Fukunaga / Neetu Abad / Gnakub Norbert Soke /
    Dimitri Prybylski / David L. Fitter / Adam C. Levine / Reena H. Doshi

    PLOS Global Public Health, Vol 4, Iss

    2024  Volume 1

    Keywords Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Multidrug-resistant enteric pathogens in older children and adults with diarrhea in Bangladesh

    Stephanie C. Garbern / Tzu-Chun Chu / Monique Gainey / Samika S. Kanekar / Sabiha Nasrin / Kexin Qu / Meagan A. Barry / Eric J. Nelson / Daniel T. Leung / Christopher H. Schmid / Nur H. Alam / Adam C. Levine

    Tropical Medicine and Health, Vol 49, Iss 1, Pp 1-

    epidemiology and risk factors

    2021  Volume 11

    Abstract: Abstract Background Antimicrobial resistance (AMR) is a global public health threat and is increasingly prevalent among enteric pathogens in low- and middle-income countries (LMICs). However, the burden of multidrug-resistant organisms (MDROs) in older ... ...

    Abstract Abstract Background Antimicrobial resistance (AMR) is a global public health threat and is increasingly prevalent among enteric pathogens in low- and middle-income countries (LMICs). However, the burden of multidrug-resistant organisms (MDROs) in older children, adults, and elderly patients with acute diarrhea in LMICs is poorly understood. This study’s aim was to characterize the prevalence of MDR enteric pathogens isolated from patients with acute diarrhea in Dhaka, Bangladesh, and assess a wide range of risk factors associated with MDR. Methods This study was a secondary analysis of data collected from children over 5 years, adults, and elderly patients with acute diarrhea at the International Centre for Diarrhoeal Disease Research, Bangladesh Dhaka Hospital between March 2019 and March 2020. Clinical, historical, socio-environmental information, and a stool sample for culture and antimicrobial susceptibility testing were collected from each patient. Univariate statistics and multiple logistic regression were used to assess the prevalence of MDR among enteric pathogens and the association between independent variables and presence of MRDOs among culture-positive patients. Results A total of 1198 patients had pathogens isolated by stool culture with antimicrobial susceptibility results. Among culture-positive patients, the prevalence of MDR was 54.3%. The prevalence of MDR was highest in Aeromonas spp. (81.5%), followed by Campylobacter spp. (72.1%), Vibrio cholerae (28.1%), Shigella spp. (26.2%), and Salmonella spp. (5.2%). Factors associated with having MDRO in multiple logistic regression included longer transport time to hospital (>90 min), greater stool frequency, prior antibiotic use prior to hospital presentation, and non-flush toilet use. However, pseudo-R2 was low 0.086, indicating that other unmeasured variables need to be considered to build a more robust predictive model of MDR. Conclusions MDR enteric pathogens were common in this study population with clinical, historical, and ...
    Keywords Antimicrobial resistance ; Multidrug resistance ; Global health ; Diarrhea ; Low- and middle-income countries ; Resource-limited ; Arctic medicine. Tropical medicine ; RC955-962
    Subject code 610
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: External validation of a mobile clinical decision support system for diarrhea etiology prediction in children

    Stephanie Chow Garbern / Eric J Nelson / Sabiha Nasrin / Adama Mamby Keita / Ben J Brintz / Monique Gainey / Henry Badji / Dilruba Nasrin / Joel Howard / Mami Taniuchi / James A Platts-Mills / Karen L Kotloff / Rashidul Haque / Adam C Levine / Samba O Sow / Nur Haque Alam / Daniel T Leung

    eLife, Vol

    A multicenter study in Bangladesh and Mali

    2022  Volume 11

    Abstract: Background: Diarrheal illness is a leading cause of antibiotic use for children in low- and middle-income countries. Determination of diarrhea etiology at the point-of-care without reliance on laboratory testing has the potential to reduce inappropriate ... ...

    Abstract Background: Diarrheal illness is a leading cause of antibiotic use for children in low- and middle-income countries. Determination of diarrhea etiology at the point-of-care without reliance on laboratory testing has the potential to reduce inappropriate antibiotic use. Methods: This prospective observational study aimed to develop and externally validate the accuracy of a mobile software application (‘App’) for the prediction of viral-only etiology of acute diarrhea in children 0–59 months in Bangladesh and Mali. The App used a previously derived and internally validated model consisting of patient-specific (‘present patient’) clinical variables (age, blood in stool, vomiting, breastfeeding status, and mid-upper arm circumference) as well as location-specific viral diarrhea seasonality curves. The performance of additional models using the ‘present patient’ data combined with other external data sources including location-specific climate, data, recent patient data, and historical population-based prevalence were also evaluated in secondary analysis. Diarrhea etiology was determined with TaqMan Array Card using episode-specific attributable fraction (AFe) >0.5. Results: Of 302 children with acute diarrhea enrolled, 199 had etiologies above the AFe threshold. Viral-only pathogens were detected in 22% of patients in Mali and 63% in Bangladesh. Rotavirus was the most common pathogen detected (16% Mali; 60% Bangladesh). The present patient+ viral seasonality model had an AUC of 0.754 (0.665–0.843) for the sites combined, with calibration-in-the-large α = −0.393 (−0.455––0.331) and calibration slope β = 1.287 (1.207–1.367). By site, the present patient+ recent patient model performed best in Mali with an AUC of 0.783 (0.705–0.86); the present patient+ viral seasonality model performed best in Bangladesh with AUC 0.710 (0.595–0.825). Conclusions: The App accurately identified children with high likelihood of viral-only diarrhea etiology. Further studies to evaluate the App’s potential use in diagnostic and ...
    Keywords diarrhea ; global health ; antimicrobial resistance ; enteropathogens ; mobile health ; clinical decision support ; Medicine ; R ; Science ; Q ; Biology (General) ; QH301-705.5
    Subject code 360
    Language English
    Publishing date 2022-02-01T00:00:00Z
    Publisher eLife Sciences Publications Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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