A Risk Prediction Model for the Assessment and Triage of Women with Hypertensive Disorders of Pregnancy in Low-Resourced Settings: The miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) Multi-country Prospective Cohort Study
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{"title"=>"A Risk Prediction Model for the Assessment and Triage of Women with Hypertensive Disorders of Pregnancy in Low-Resourced Settings: The miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) Multi-country Prospective Cohort Study", "type"=>"journal", "authors"=>[{"first_name"=>"Beth A.", "last_name"=>"Payne", "scopus_author_id"=>"26537771600"}, {"first_name"=>"Jennifer A.", "last_name"=>"Hutcheon", "scopus_author_id"=>"23987649100"}, {"first_name"=>"J. Mark", "last_name"=>"Ansermino", "scopus_author_id"=>"9639115700"}, {"first_name"=>"David R.", "last_name"=>"Hall", "scopus_author_id"=>"7404434813"}, {"first_name"=>"Zulfiqar A.", "last_name"=>"Bhutta", "scopus_author_id"=>"24342648300"}, {"first_name"=>"Shereen Z.", "last_name"=>"Bhutta", "scopus_author_id"=>"16745701900"}, {"first_name"=>"Christine", "last_name"=>"Biryabarema", "scopus_author_id"=>"36615149700"}, {"first_name"=>"William A.", "last_name"=>"Grobman", "scopus_author_id"=>"7005475057"}, {"first_name"=>"Henk", "last_name"=>"Groen", "scopus_author_id"=>"7005986276"}, {"first_name"=>"Farizah", "last_name"=>"Haniff", "scopus_author_id"=>"56031477000"}, {"first_name"=>"Jing", "last_name"=>"Li", "scopus_author_id"=>"14021456400"}, {"first_name"=>"Laura A.", "last_name"=>"Magee", "scopus_author_id"=>"7007010568"}, {"first_name"=>"Mario", "last_name"=>"Merialdi", "scopus_author_id"=>"6602305913"}, {"first_name"=>"Annettee", "last_name"=>"Nakimuli", "scopus_author_id"=>"50262467600"}, {"first_name"=>"Ziguang", "last_name"=>"Qu", "scopus_author_id"=>"54409274200"}, {"first_name"=>"Rozina", "last_name"=>"Sikandar", "scopus_author_id"=>"23500152300"}, {"first_name"=>"Nelson", "last_name"=>"Sass", "scopus_author_id"=>"7003603051"}, {"first_name"=>"Diane", "last_name"=>"Sawchuck", "scopus_author_id"=>"23475064700"}, {"first_name"=>"D. Wilhelm", "last_name"=>"Steyn", "scopus_author_id"=>"7006127809"}, {"first_name"=>"Mariana", "last_name"=>"Widmer", "scopus_author_id"=>"15756570400"}, {"first_name"=>"Jian", "last_name"=>"Zhou", "scopus_author_id"=>"57191733153"}, {"first_name"=>"Peter", "last_name"=>"von Dadelszen", "scopus_author_id"=>"7004715471"}, {"first_name"=>"Keith", "last_name"=>"Walley", "scopus_author_id"=>"7006495859"}, {"first_name"=>"K. S.", "last_name"=>"Joseph", "scopus_author_id"=>"25225855600"}, {"first_name"=>"Florence", "last_name"=>"Mirembe", "scopus_author_id"=>"6602331709"}, {"first_name"=>"Amanda", "last_name"=>"Noovao", "scopus_author_id"=>"56031600500"}, {"first_name"=>"Rahat", "last_name"=>"Qureshi", "scopus_author_id"=>"7006728965"}, {"first_name"=>"Tao", "last_name"=>"Duan", "scopus_author_id"=>"56919320500"}, {"first_name"=>"Erika", "last_name"=>"van Papendorp", "scopus_author_id"=>"56032457100"}, {"first_name"=>"Michael", "last_name"=>"Ssegirinya", "scopus_author_id"=>"56031987000"}, {"first_name"=>"Margaret", "last_name"=>"Sewagaba", "scopus_author_id"=>"56031472000"}, {"first_name"=>"Rose Mary", "last_name"=>"Byenkya", "scopus_author_id"=>"56031698300"}, {"first_name"=>"Betty", "last_name"=>"Namulema", "scopus_author_id"=>"6505671231"}, {"first_name"=>"Jane", "last_name"=>"Namiiro", "scopus_author_id"=>"56032025800"}, {"first_name"=>"Rose Mary", "last_name"=>"Nakayiza", "scopus_author_id"=>"56031547700"}, {"first_name"=>"Grace", "last_name"=>"Akao", "scopus_author_id"=>"56032135900"}, {"first_name"=>"Immaculate", "last_name"=>"Nankabirwa", "scopus_author_id"=>"56031147300"}, {"first_name"=>"Rehema", "last_name"=>"Nakazibwe", "scopus_author_id"=>"56031368500"}, {"first_name"=>"A.", "last_name"=>"Noorjahan", "scopus_author_id"=>"56031148800"}, {"first_name"=>"Farina", "last_name"=>"Azeem", "scopus_author_id"=>"56031747000"}, {"first_name"=>"Jennifer", "last_name"=>"Menzies", "scopus_author_id"=>"15731173800"}, {"first_name"=>"Fiona Broughton", "last_name"=>"Pipkin", "scopus_author_id"=>"55663840200"}, {"first_name"=>"A. M.", "last_name"=>"Côté", "scopus_author_id"=>"8598576700"}, {"first_name"=>"M. Joanne", "last_name"=>"Douglas", "scopus_author_id"=>"7202715872"}, {"first_name"=>"Andrée", "last_name"=>"Gruslin", "scopus_author_id"=>"6701429418"}, {"first_name"=>"Pippa", "last_name"=>"Kyle", "scopus_author_id"=>"23035202100"}, {"first_name"=>"Tang", "last_name"=>"Lee", "scopus_author_id"=>"55784403400"}, {"first_name"=>"Pam", "last_name"=>"Loughna", "scopus_author_id"=>"56031201300"}, {"first_name"=>"Swati", "last_name"=>"Mahajan", "scopus_author_id"=>"56032333900"}, {"first_name"=>"Alexi", "last_name"=>"Millman", "scopus_author_id"=>"56031604900"}, {"first_name"=>"M. Peter", "last_name"=>"Moore", "scopus_author_id"=>"23036239000"}, {"first_name"=>"Jean Marie", "last_name"=>"Moutquin", "scopus_author_id"=>"7006291666"}, {"first_name"=>"Annie", "last_name"=>"Ouellet", "scopus_author_id"=>"15751752600"}, {"first_name"=>"Graeme", "last_name"=>"Smith", "scopus_author_id"=>"7406736028"}, {"first_name"=>"Jimmy", "last_name"=>"Walker", "scopus_author_id"=>"7405589331"}, {"first_name"=>"Barry", "last_name"=>"Walters", "scopus_author_id"=>"7102217811"}, {"first_name"=>"Shoo", "last_name"=>"Lee", "scopus_author_id"=>"7601396360"}, {"first_name"=>"Jim", "last_name"=>"Russell", "scopus_author_id"=>"7404208893"}, {"first_name"=>"Mark", "last_name"=>"Brown", "scopus_author_id"=>"13310003600"}, {"first_name"=>"Greg", "last_name"=>"Davis", "scopus_author_id"=>"55454931000"}, {"first_name"=>"Steve", "last_name"=>"Robson", "scopus_author_id"=>"35300400200"}, {"first_name"=>"Michael", "last_name"=>"de Swiet", "scopus_author_id"=>"16210632800"}, {"first_name"=>"Marshall", "last_name"=>"Lindheimer", "scopus_author_id"=>"35327446400"}, {"first_name"=>"Jim", "last_name"=>"Roberts", "scopus_author_id"=>"35396054000"}, {"first_name"=>"Dorothy", "last_name"=>"Shaw", "scopus_author_id"=>"15077308400"}, {"first_name"=>"France", "last_name"=>"Donnay", "scopus_author_id"=>"6602250185"}], "year"=>2014, "source"=>"PLoS Medicine", "identifiers"=>{"issn"=>"15491277", "scopus"=>"2-s2.0-84893745207", "pui"=>"372349015", "doi"=>"10.1371/journal.pmed.1001589", "isbn"=>"1549-1277", "sgr"=>"84893745207", "pmid"=>"24465185"}, "id"=>"57a6ce97-c13e-3e9f-b33b-cafd0999fa84", "abstract"=>"BACKGROUND: Pre-eclampsia/eclampsia are leading causes of maternal mortality and morbidity, particularly in low- and middle- income countries (LMICs). We developed the miniPIERS risk prediction model to provide a simple, evidence-based tool to identify pregnant women in LMICs at increased risk of death or major hypertensive-related complications.\n\nMETHODS AND FINDINGS: From 1 July 2008 to 31 March 2012, in five LMICs, data were collected prospectively on 2,081 women with any hypertensive disorder of pregnancy admitted to a participating centre. Candidate predictors collected within 24 hours of admission were entered into a step-wise backward elimination logistic regression model to predict a composite adverse maternal outcome within 48 hours of admission. Model internal validation was accomplished by bootstrapping and external validation was completed using data from 1,300 women in the Pre-eclampsia Integrated Estimate of RiSk (fullPIERS) dataset. Predictive performance was assessed for calibration, discrimination, and stratification capacity. The final miniPIERS model included: parity (nulliparous versus multiparous); gestational age on admission; headache/visual disturbances; chest pain/dyspnoea; vaginal bleeding with abdominal pain; systolic blood pressure; and dipstick proteinuria. The miniPIERS model was well-calibrated and had an area under the receiver operating characteristic curve (AUC ROC) of 0.768 (95% CI 0.735-0.801) with an average optimism of 0.037. External validation AUC ROC was 0.713 (95% CI 0.658-0.768). A predicted probability ≥25% to define a positive test classified women with 85.5% accuracy. Limitations of this study include the composite outcome and the broad inclusion criteria of any hypertensive disorder of pregnancy. This broad approach was used to optimize model generalizability.\n\nCONCLUSIONS: The miniPIERS model shows reasonable ability to identify women at increased risk of adverse maternal outcomes associated with the hypertensive disorders of pregnancy. It could be used in LMICs to identify women who would benefit most from interventions such as magnesium sulphate, antihypertensives, or transportation to a higher level of care. Please see later in the article for the Editors' Summary.", "link"=>"http://www.mendeley.com/research/risk-prediction-model-assessment-triage-women-hypertensive-disorders-pregnancy-lowresourced-settings", "reader_count"=>116, "reader_count_by_academic_status"=>{"Unspecified"=>9, "Professor > Associate Professor"=>9, "Librarian"=>1, "Student > Doctoral Student"=>8, "Researcher"=>11, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>9, "Other"=>9, "Student > Master"=>24, "Student > Bachelor"=>8, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>3, "Professor"=>11}, "reader_count_by_user_role"=>{"Unspecified"=>9, "Professor > Associate Professor"=>9, "Librarian"=>1, "Student > Doctoral Student"=>8, "Researcher"=>11, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>9, "Other"=>9, "Student > Master"=>24, "Student > Bachelor"=>8, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>3, "Professor"=>11}, "reader_count_by_subject_area"=>{"Unspecified"=>11, "Agricultural and Biological Sciences"=>6, "Arts and Humanities"=>1, "Computer Science"=>4, "Engineering"=>3, "Environmental Science"=>1, "Nursing and Health Professions"=>10, "Medicine and Dentistry"=>68, "Neuroscience"=>2, "Design"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Psychology"=>1, "Social Sciences"=>6, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>68}, "Social Sciences"=>{"Social Sciences"=>6}, "Psychology"=>{"Psychology"=>1}, "Unspecified"=>{"Unspecified"=>11}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>3}, "Neuroscience"=>{"Neuroscience"=>2}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Computer Science"=>{"Computer Science"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>10}}, "reader_count_by_country"=>{"Canada"=>2, "United States"=>1, "Brazil"=>2, "Kazakhstan"=>1, "India"=>2}, "group_count"=>11}

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  • {"files"=>["https://ndownloader.figshare.com/files/1354745"], "description"=>"<p>Performance of the model in each study site region as a predictor of combined adverse maternal outcome occurring within 48</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "predictor", "adverse", "maternal", "occurring"], "article_id"=>907008, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.t007", "stats"=>{"downloads"=>1, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Performance_of_the_model_in_each_study_site_region_as_a_predictor_of_combined_adverse_maternal_outcome_occurring_within_48_/907008", "title"=>"Performance of the model in each study site region as a predictor of combined adverse maternal outcome occurring within 48", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354746", "https://ndownloader.figshare.com/files/1354747"], "description"=>"<div><p>Background</p><p>Pre-eclampsia/eclampsia are leading causes of maternal mortality and morbidity, particularly in low- and middle- income countries (LMICs). We developed the miniPIERS risk prediction model to provide a simple, evidence-based tool to identify pregnant women in LMICs at increased risk of death or major hypertensive-related complications.</p><p>Methods and Findings</p><p>From 1 July 2008 to 31 March 2012, in five LMICs, data were collected prospectively on 2,081 women with any hypertensive disorder of pregnancy admitted to a participating centre. Candidate predictors collected within 24 hours of admission were entered into a step-wise backward elimination logistic regression model to predict a composite adverse maternal outcome within 48 hours of admission. Model internal validation was accomplished by bootstrapping and external validation was completed using data from 1,300 women in the Pre-eclampsia Integrated Estimate of RiSk (fullPIERS) dataset. Predictive performance was assessed for calibration, discrimination, and stratification capacity. The final miniPIERS model included: parity (nulliparous versus multiparous); gestational age on admission; headache/visual disturbances; chest pain/dyspnoea; vaginal bleeding with abdominal pain; systolic blood pressure; and dipstick proteinuria. The miniPIERS model was well-calibrated and had an area under the receiver operating characteristic curve (AUC ROC) of 0.768 (95% CI 0.735–0.801) with an average optimism of 0.037. External validation AUC ROC was 0.713 (95% CI 0.658–0.768). A predicted probability ≥25% to define a positive test classified women with 85.5% accuracy. Limitations of this study include the composite outcome and the broad inclusion criteria of any hypertensive disorder of pregnancy. This broad approach was used to optimize model generalizability.</p><p>Conclusions</p><p>The miniPIERS model shows reasonable ability to identify women at increased risk of adverse maternal outcomes associated with the hypertensive disorders of pregnancy. It could be used in LMICs to identify women who would benefit most from interventions such as magnesium sulphate, antihypertensives, or transportation to a higher level of care.</p><p><i>Please see later in the article for the Editors' Summary</i></p></div>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "triage", "women", "hypertensive", "disorders", "low-resourced", "minipiers", "multi-country", "prospective", "cohort"], "article_id"=>907009, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001589.s001", "https://dx.doi.org/10.1371/journal.pmed.1001589.s002"], "stats"=>{"downloads"=>7, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_Risk_Prediction_Model_for_the_Assessment_and_Triage_of_Women_with_Hypertensive_Disorders_of_Pregnancy_in_Low_Resourced_Settings_The_miniPIERS_Pre_eclampsia_Integrated_Estimate_of_RiSk_Multi_country_Prospective_Cohort_Study_/907009", "title"=>"A Risk Prediction Model for the Assessment and Triage of Women with Hypertensive Disorders of Pregnancy in Low-Resourced Settings: The miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) Multi-country Prospective Cohort Study", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354735"], "description"=>"<p>Green line represents line of perfect fit between observed and predicted outcomes and orange line is a smoothed fit line between predicted probability and mean observed probability in each range.</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "minipiers", "applied", "women", "cohort", "goodness"], "article_id"=>906998, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.g001", "stats"=>{"downloads"=>1, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Calibration_plot_of_the_miniPIERS_model_applied_2_081_women_in_the_cohort_H_L_goodness_of_fit_p_0_1616_/906998", "title"=>"Calibration plot of the miniPIERS model applied 2,081 women in the cohort (H–L goodness of fit <i>p</i> = 0.1616).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354737"], "description"=>"<p>AUC 0.768 (95% CI 0.735–0.801).</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "minipiers", "developed", "women"], "article_id"=>907000, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.g002", "stats"=>{"downloads"=>3, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Receiver_operating_characteristic_curve_of_the_miniPIERS_model_developed_in_2_081_women_in_the_miniPIERS_cohort_/907000", "title"=>"Receiver operating characteristic curve of the miniPIERS model developed in 2,081 women in the miniPIERS cohort.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354738"], "description"=>"<p>AUC 0.713 (95% CI 0.658–0.768).</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "minipiers", "applied", "fullpiers", "validation"], "article_id"=>907001, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.g003", "stats"=>{"downloads"=>2, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Receiver_operating_characteristic_curve_of_the_miniPIERS_model_applied_to_the_fullPIERS_11_external_validation_cohort_/907001", "title"=>"Receiver operating characteristic curve of the miniPIERS model applied to the fullPIERS (11) external validation cohort.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354739"], "description"=>"<p>Results for continuous variables presented as mean (± standard deviation [SD]) when data normally distributed or median [interquartile range] for skewed data.</p>*<p><i>p</i>-Values calculated using chi-squared test for categorical variables and Student's t-test or Mann-Whitney U for continuous variables.</p><p>EDD, estimated date of delivery; GA, gestational age.</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "women", "cohort", "comparing", "adverse", "maternal", "outcomes"], "article_id"=>907002, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.t001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographics_of_women_in_the_total_cohort_comparing_women_with_and_without_adverse_maternal_outcomes_N_2_081_/907002", "title"=>"Demographics of women in the total cohort comparing women with and without adverse maternal outcomes (<i>N</i> = 2,081).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354740"], "description"=>"<p>Full definitions of all outcomes available at <a href=\"http://pre-empt.cfri.ca/OBJECTIVES/miniPIERS/Reference.aspx\" target=\"_blank\">http://pre-empt.cfri.ca/OBJECTIVES/miniPIERS/Reference.aspx</a>.</p>a<p>Includes five cases of pulmonary embolism, two cardiac arrests, one ruptured uterus.</p><p>SpO<sub>2</sub>, blood oxygen saturation; FiO<sub>2</sub>, fractional inspired oxygen; PPH, postpartum haemorrhage.</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "adverse", "outcomes", "occurring", "minipiers", "counts", "mutually", "listed"], "article_id"=>907003, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.t002", "stats"=>{"downloads"=>6, "page_views"=>21, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Maternal_adverse_outcomes_occurring_in_the_total_miniPIERS_cohort_outcome_counts_not_mutually_exclusive_when_listed_within_48_/907003", "title"=>"Maternal adverse outcomes occurring in the total miniPIERS cohort, outcome counts not mutually exclusive when listed within 48", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354741"], "description"=>"<p>Variables presented as part of the multivariate analysis are those that were retained after model development and backward selection.</p>a<p>Log transformed.</p><p>OR, odds ratio.</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "multivariate", "predictors", "minipiers"], "article_id"=>907004, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.t003", "stats"=>{"downloads"=>0, "page_views"=>27, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_and_multivariate_analysis_of_candidate_predictors_in_the_miniPIERS_cohort_/907004", "title"=>"Univariate and multivariate analysis of candidate predictors in the miniPIERS cohort.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354742"], "description"=>"<p>Upper limit of predicted probability range used to define a positive test for sensitivity (Sens), specificity (Spec), positive predictive value (PPV), and negative predictive value (NPV).</p>a<p>LR for each category calculated using the method described by Deeks et al. <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001589#pmed.1001589-Deeks1\" target=\"_blank\">[19]</a>.</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "stratification", "minipiers"], "article_id"=>907005, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.t004", "stats"=>{"downloads"=>1, "page_views"=>38, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Risk_stratification_table_to_assess_the_miniPIERS_prediction_model_/907005", "title"=>"Risk stratification table to assess the miniPIERS prediction model.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354743"], "description"=>"<p>Results for continuous variables presented as mean (± standard deviation [SD]) when data normally distributed or median (interquartile range) for skewed data.</p>*<p><i>p</i>-Values calculated using chi-squared test for categorical variables and Student's t-test or Mann-Whitney U for continuous variables.</p><p>EDD, estimated date of delivery; GA, gestational age.</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "comparing", "women", "validation"], "article_id"=>907006, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.t005", "stats"=>{"downloads"=>1, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_table_comparing_characteristics_of_women_in_the_development_and_validation_cohorts_/907006", "title"=>"Demographic table comparing characteristics of women in the development and validation cohorts.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-21 04:55:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/1354744"], "description"=>"a<p>Other hypertensive disorders excluded: chronic hypertension, gestational hypertension without proteinuria, or other adverse conditions, partial HELLP.</p><p>GA, gestational age.</p>", "links"=>[], "tags"=>["epidemiology", "Clinical epidemiology", "Obstetrics and gynecology", "pregnancy", "Hypertensive disorders in pregnancy", "Pregnancy complications", "minipiers", "adverse", "maternal", "subsets", "restricted", "fullpiers"], "article_id"=>907007, "categories"=>["Medicine"], "users"=>["Beth A. Payne", "Jennifer A. Hutcheon", "J. Mark Ansermino", "David R. Hall", "Zulfiqar A. Bhutta", "Shereen Z. Bhutta", "Christine Biryabarema", "William A. Grobman", "Henk Groen", "Farizah Haniff", "Jing Li", "Laura A. Magee", "Mario Merialdi", "Annettee Nakimuli", "Ziguang Qu", "Rozina Sikandar", "Nelson Sass", "Diane Sawchuck", "D. Wilhelm Steyn", "Mariana Widmer", "Jian Zhou", "Peter von Dadelszen"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001589.t006", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_sensitivity_analysis_using_the_miniPIERS_model_to_predict_adverse_maternal_outcome_in_subsets_of_the_data_or_to_predict_restricted_definition_of_the_combined_adverse_outcome_as_described_in_the_miniPIERS_and_fullPIERS_cohorts_/907007", "title"=>"Results of sensitivity analysis using the miniPIERS model to predict adverse maternal outcome in subsets of the data or to predict restricted definition of the combined adverse outcome, as described, in the miniPIERS and fullPIERS cohorts.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-21 04:55:51"}

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{"start_date"=>"2014-01-01T00:00:00Z", "end_date"=>"2014-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Medicine and health sciences/Vascular medicine", "average_usage"=>[248]}, {"subject_area"=>"/Physical sciences", "average_usage"=>[271]}]}
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