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Ghanem M, Espinosa C, Chung P, Reincke M, Harrison N, Phongpreecha T, Shome S, Saarunya G, Berson E, James T, Xie F, Shu CH, Hazra D, Mataraso S, Kim Y, Seong D, Chakraborty D, Studer M, Xue L, Marić I, Chang AL, Tjoa E, Gaudillière B, Tawfik VL, Mackey S, Aghaeepour N. Comprehensive overview of the anesthesiology research landscape: A machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator's publication trends. Heliyon 2024; 10:e29050. [PMID: 38623206 PMCID: PMC11016610 DOI: 10.1016/j.heliyon.2024.e29050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/24/2024] [Accepted: 03/28/2024] [Indexed: 04/17/2024] Open
Abstract
Background Anesthesiology plays a crucial role in perioperative care, critical care, and pain management, impacting patient experiences and clinical outcomes. However, our understanding of the anesthesiology research landscape is limited. Accordingly, we initiated a data-driven analysis through topic modeling to uncover research trends, enabling informed decision-making and fostering progress within the field. Methods The easyPubMed R package was used to collect 32,300 PubMed abstracts spanning from 2000 to 2022. These abstracts were authored by 737 Anesthesiology Principal Investigators (PIs) who were recipients of National Institute of Health (NIH) funding from 2010 to 2022. Abstracts were preprocessed, vectorized, and analyzed with the state-of-the-art BERTopic algorithm to identify pillar topics and trending subtopics within anesthesiology research. Temporal trends were assessed using the Mann-Kendall test. Results The publishing journals with most abstracts in this dataset were Anesthesia & Analgesia 1133, Anesthesiology 992, and Pain 671. Eight pillar topics were identified and categorized as basic or clinical sciences based on a hierarchical clustering analysis. Amongst the pillar topics, "Cells & Proteomics" had both the highest annual and total number of abstracts. Interestingly, there was an overall upward trend for all topics spanning the years 2000-2022. However, when focusing on the period from 2015 to 2022, topics "Cells & Proteomics" and "Pulmonology" exhibit a downward trajectory. Additionally, various subtopics were identified, with notable increasing trends in "Aneurysms", "Covid 19 Pandemic", and "Artificial intelligence & Machine Learning". Conclusion Our work offers a comprehensive analysis of the anesthesiology research landscape by providing insights into pillar topics, and trending subtopics. These findings contribute to a better understanding of anesthesiology research and can guide future directions.
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Affiliation(s)
- Marc Ghanem
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Philip Chung
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Momsen Reincke
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Natasha Harrison
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Thanaphong Phongpreecha
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Sayane Shome
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Geetha Saarunya
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Eloise Berson
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Tomin James
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Feng Xie
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Chi-Hung Shu
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Debapriya Hazra
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Samson Mataraso
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Yeasul Kim
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - David Seong
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
- Medical Scientist Training Program, Stanford University School of Medicine, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Dipro Chakraborty
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Manuel Studer
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Lei Xue
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Ivana Marić
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alan L. Chang
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Erico Tjoa
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Brice Gaudillière
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Vivianne L. Tawfik
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Sean Mackey
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
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Rokicki S, McConnell M. Racial and Socioeconomic Disparities in Preconception Health Risk Factors and Access to Care. J Womens Health (Larchmt) 2024. [PMID: 38563909 DOI: 10.1089/jwh.2023.0560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
Background: Black birthing people have significantly higher risks of maternal mortality and morbidity compared with White people. Preconception chronic conditions increase the risk of adverse pregnancy outcomes, yet little is known about disparities in preconception health. This study applies an intersectional framework to examine the simultaneous contributions of racial marginalization and economic deprivation in determining disparities in preconception risk factors and access to care. Methods: Using data from the Pregnancy Risk Assessment Monitoring System, 2016-2020 (N = 123,697), we evaluated disparities by race and income in self-reported preconception hypertension, diabetes, obesity, depression, and smoking, as well as preconception insurance coverage and utilization of health care. We estimated linear regression models and calculated predicted probabilities. Results: Black respondents experienced higher probabilities of preconception obesity and high blood pressure at every income level compared with White respondents. Higher income did not attenuate the probability of obesity for Black respondents (linear trend p = 0.21), as it did for White respondents (p < 0.001). Conversely, while White respondents with low income were at higher risk of preconception depression and smoking than their Black counterparts, higher income was strongly associated with reduced risk, with significantly steeper reductions for White compared with Black respondents (difference in trends p < 0.001 for both risk factors). White respondents had higher probabilities of utilizing preconception care across all income levels, despite similar probabilities of insurance coverage. Conclusions: Higher income does not protect against the risk of preconception obesity and other preconception risk factors for Black birthing people as it does for White birthing people. Results point to the need to consider multiple forms of intersecting structural factors in policy and intervention research to improve preconception and maternal health.
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Affiliation(s)
- Slawa Rokicki
- Department of Health Behavior, Society and Policy, Rutgers School of Public Health, Piscataway, New Jersey, USA
- Department of Global Health & Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Margaret McConnell
- Department of Global Health & Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Lee R, Brandt JS, Joseph K, Ananth CV. Pregnancy-associated mortality due to cardiovascular disease: Impact of hypertensive disorders of pregnancy. Paediatr Perinat Epidemiol 2024; 38:204-215. [PMID: 38375930 PMCID: PMC10978238 DOI: 10.1111/ppe.13055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND Reported rates of maternal mortality in the United States have been staggeringly high and increasing, and cardiovascular disease (CVD) is a chief contributor to such deaths. However, the impact of hypertensive disorders of pregnancy (HDP) on the short-term risk of cardiovascular death is not well understood. OBJECTIVES To evaluate the association between HDP (chronic hypertension, gestational hypertension, preeclampsia, eclampsia, and superimposed preeclampsia) and pregnancy-associated mortality rates (PMR) from all causes, CVD-related causes both at delivery and within 1 year following delivery. METHODS We used the Nationwide Readmissions Database (2010-2018) to examine PMRs for females 15-54 years old. International Classification of Disease 9 and 10 diagnosis codes were used to identify pregnancy-associated deaths due to HDP and CVD. Discrete-time Cox proportional hazards regression models were used to calculate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for mortality at delivery (0 days) and at <30, <60, <90, <180, and <365 days after delivery in relation to HDP. RESULTS Of 33,417,736 hospital deliveries, the rate of HDP was 11.0% (n = 3,688,967), and the PMR from CVD was 6.4 per 100,000 delivery hospitalisations (n = 2141). Compared with normotensive patients, HRs for CVD-related PMRs increased with HDP severity, reaching over 58-fold for eclampsia patients. HRs were higher for stroke-related (1.2 to 170.9) than heart disease (HD)-related (0.99 to 39.8) mortality across all HDPs. Except for gestational hypertension, the increased risks of CVD mortality were evident at delivery and persisted 1 year postpartum for all HDPs. CONCLUSIONS HDPs are strong risk factors for pregnancy-associated mortality due to CVD at delivery and within 1 year postpartum; the risks are stronger for stroke than HD-related PMR. While absolute PMRs are low, this study supports the importance of extending postpartum care beyond the traditional 42-day postpartum visit for people whose pregnancies are complicated by hypertension.
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Affiliation(s)
- Rachel Lee
- Division of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Justin S. Brandt
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Grossman School of Medicine, New York University, New York, NY, USA
| | - K.S. Joseph
- Department of Obstetrics and Gynaecology, University of British Columbia and the Children’s and Women’s Hospital and Health Centre of British Columbia, Vancouver, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Cande V. Ananth
- Division of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Cardiovascular Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
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Obeng CS, Jackson F, Brandenburg D, Byrd KA. Black/African American Women's Woes: Women's Perspectives of Black/African American Maternal Mortality in the USA. J Racial Ethn Health Disparities 2023:10.1007/s40615-023-01883-0. [PMID: 38051429 DOI: 10.1007/s40615-023-01883-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Despite advances in perinatal care in the USA, maternal mortality is on the rise, and maternal death is higher than in any other high-income country. Maternal mortality in the USA is a persistent public health concern. This issue disproportionately affects Black/African American women, with their likelihood of pregnancy-related death being three times more likely compared to White women. This study aimed to explore the resources needed for Black/African American women to address the relatively higher maternal mortality rates recorded for them. METHODS An anonymous link with demographic and open-ended questions was sent to US women 18 years and older to participate in the study. A total of 140 participants responded to the survey. We retained a final sample of 118 responses after eliminating responses with missing data. Descriptive statistics are reported for closed-ended items. Open-ended responses were analyzed using content analysis procedures, where we coded and categorized the data into themes. RESULTS Six themes were identified from the study data: (1) Diversity, Equity, and Inclusion (DEI) training for health providers focused on racial bias and discrimination, (2) Advocacy, (3) Provider selection, (4) Researching doctors and delivery hospitals to inform women's birthing decision-making, (5) Women's care-seeking behaviors, and (6) Addressing the Social Determinants of Health. CONCLUSION Based on the study's findings, we recommend DEI training for healthcare professionals providing direct care to pregnant and postpartum women, advocacy and resource-awareness training for pregnant Black/African American women and their spouses/partners, or a family member, to assist them in their pregnancy and birthing journeys.
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Affiliation(s)
- Cecilia S Obeng
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN, USA.
| | - Frederica Jackson
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN, USA
| | - Dakota Brandenburg
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN, USA
| | - Kourtney A Byrd
- College of Pharmacy, Center for Health Equity and Innovation (CHEqI), Purdue University, Indianapolis, IN, USA
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Hu G, Lin J, Feng H, Horswell R, Chu S, Shen Y. Trends of hypertensive disorders of pregnancy among the Medicaid population before and during COVID-19. RESEARCH SQUARE 2023:rs.3.rs-3616259. [PMID: 38077001 PMCID: PMC10705593 DOI: 10.21203/rs.3.rs-3616259/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Hypertensive disorders of pregnancy (HDP) are a group of high blood pressure disorders during pregnancy that are a leading cause of maternal and infant morbidity and mortality. The trend of HDP among the Medicaid population during the coronavirus disease of 2019 (COVID-19) is severely lacking. To determine the trends in the annual prevalence of HDP among Louisiana Medicaid pregnant women before and during the COVID-19 pandemic (2016-2021), a total of 113,776 pregnant women aged 15-50 years was included in this study. For multiparous individuals, only the first pregnancy was used in the analyses. Women with a diagnosis of each type-specific HDP were identified by using the ICD-10 codes. The prevalence of HDP increased from 10.5% in 2016 to 17.7% in 2021. The highest race/ethnicity-specific incidence of HDP was seen in African American women (13.1%), then white women (9.4%), followed by other women (7.9%). HDP remains as a very prevalent and significant global health issue, especially in African American women. Obesity and physical inactivity are major risk factors of HDP, which became amplified during the COVID-19 pandemic and led to a higher prevalence of HDP. Severe HDP substantially increases the risk of mortality in offspring and long-term issues in both the mother and infant. This is very pertinent to the Medicaid population due to the disparities and barriers that diminish the quality of healthcare they receive.
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Affiliation(s)
- Gang Hu
- Pennington Biomedical Research Center
| | | | | | | | - San Chu
- Pennington Biomedical Research Center
| | - Yun Shen
- Pennington Biomedical Research Center
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Thomas NA, Owen B, Ersig AL, Bratzke LC. Pathways and processes to the embodiment of historical trauma secondary to settler colonialism. J Adv Nurs 2023; 79:4218-4227. [PMID: 37553851 DOI: 10.1111/jan.15818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/20/2023] [Indexed: 08/10/2023]
Abstract
AIM(S) This discursive article aims to examine how systemic factors of settler colonialism influence health outcomes among Indigenous peoples in the United States through pathways and processes that may lead to the embodiment of historical trauma. DESIGN Discursive paper. METHODS We completed a comprehensive search of empirical and grey literature between September 2022 and January 2023 in PubMed, CINAHL and Google Scholar. Using these articles as a foundation, we explored factors related to the pathways and processes leading to the embodiment of historical trauma rooted in settler colonialism. RESULTS A conceptual framework of the pathways and processes of the embodiment of historical trauma secondary to settler colonialism was developed, and is presented. CONCLUSION The societal and historical context for Indigenous peoples includes harmful settler colonial structures and ideologies, resulting in stressors and historical trauma that impact health outcomes and disparities through the phenomenon of the process of embodiment. IMPLICATIONS FOR NURSING To provide holistic nursing care, nurses must be aware of settler colonialism as a determinant of health. They must be attuned to the pathways and processes through which settler colonial exposures may impact health among Indigenous peoples. Nurses must challenge existing structural inequities to advance health equity and social justice.
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Affiliation(s)
- Nicole A Thomas
- School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Brenda Owen
- School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Anne L Ersig
- School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Lisa C Bratzke
- School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA
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Ibarra AJ, Roman K, Nguyen E, Yates ME, Nicholas A, Lim G. Translational research updates in female health anesthesiology: a narrative review. ANNALS OF TRANSLATIONAL MEDICINE 2023; 11:357. [PMID: 37675293 PMCID: PMC10477624 DOI: 10.21037/atm-22-3547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 03/24/2023] [Indexed: 09/08/2023]
Abstract
Background and Objective Females represent 49.6% of the global population and constitute a significant proportion of surgical patients and hospital admissions. Little is known about the bi-directional effects of sex and anesthetics or the impact of anesthetic interventions on long-term female health outcomes. Sex differences in pain pathways can influence pain experience and treatment effectiveness. The impact of anesthetic management on the recurrence of breast cancer is poorly understood, as are the long-term consequences of cardiovascular disease and safe and effective treatments in pregnancy. This review aims to outline recent advances in translational science in female health anesthesiology research and highlight critical research opportunities in pain, cancer outcomes, and cardiovascular disorders. Methods We searched PubMed and summarized relevant articles published in English between December 2021 and June 2022. Key Content and Findings Studies reveal sex differences in pain pathways and highlight the importance of sex as a biological variable in experimental designs and translational medicine. Sex differences have also been observed in side effects attributed to opioid analgesics. We summarize some of the neural circuits that might underlie these differences. In the perioperative setting, specific anesthetics are implicated in metastatic seeding potential and acute and chronic pain outcomes, suggesting the importance of anesthetic selection in comprehensive care during oncologic surgery. In the peridelivery setting, preeclampsia, a cardiovascular disorder of pregnancy, affects maternal outcomes; however, biomarkers can risk-stratify females at risk for preeclampsia and hold promise for identifying the risk of adverse neurological and other health outcomes. Conclusions Research that builds diagnostic and predictive tools in pain and cardiovascular disease will help anesthesiologists minimize sex-related risks and side effects associated with anesthetics and peri-hospital treatments. Sex-specific anesthesia care will improve outcomes, as will the provision of practical information to patients and clinicians about the effectiveness of therapies and behavioral interventions. However, more research studies and specific analytic plans are needed to continue addressing sex-based outcomes in anesthesiology.
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Affiliation(s)
- Andrea J. Ibarra
- Department of Anesthesiology and Perioperative Medicine, Division of Obstetric & Women’s Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kenny Roman
- Department of Anesthesiology and Perioperative Medicine, Division of Obstetric & Women’s Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Eileen Nguyen
- Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Megan E. Yates
- Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alexandra Nicholas
- Department of Anesthesiology and Perioperative Medicine, Division of Obstetric & Women’s Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Grace Lim
- Department of Anesthesiology and Perioperative Medicine, Division of Obstetric & Women’s Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Obstetrics and Gynecology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Alkhatib B, Salimi S, Jabari M, Padmanabhan V, Vyas AK. Impact of Adverse Gestational Milieu on Maternal Cardiovascular Health. Endocrinology 2023; 164:bqad060. [PMID: 37042476 PMCID: PMC10164662 DOI: 10.1210/endocr/bqad060] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 03/27/2023] [Accepted: 04/10/2023] [Indexed: 04/13/2023]
Abstract
Cardiovascular disease affects 1% to 4% of the nearly 4 million pregnancies in the United States each year and is the primary cause of pregnancy-related mortality. Adverse pregnancy outcomes are associated with cardiovascular complications during pregnancy persisting into the postpartum period. Recently, investigations have identified an altered sex hormone milieu, such as in the case of hyperandrogenism, as a causative factor in the development of gestational cardiovascular dysfunction. The mechanisms involved in the development of cardiovascular disease in postpartum women are largely unknown. Animal studies have attempted to recapitulate adverse pregnancy outcomes to investigate causal relationships and molecular underpinnings of adverse gestational cardiac events and progression to the development of cardiovascular disease postpartum. This review will focus on summarizing clinical and animal studies detailing the impact of adverse pregnancy outcomes, including preeclampsia, gestational diabetes mellitus, and maternal obesity, on gestational cardiometabolic dysfunction and postpartum cardiovascular disease. Specifically, we will highlight the adverse impact of gestational hyperandrogenism and its potential to serve as a biomarker for maternal gestational and postpartum cardiovascular dysfunctions.
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Affiliation(s)
- Bashar Alkhatib
- Department of Pediatrics, Washington University, St. Louis, MO 63110, USA
| | - Shadi Salimi
- College of Human Medicine, California Northstate University, Elk Grove, CA 95757, USA
| | - Mary Jabari
- College of Human Medicine, California Northstate University, Elk Grove, CA 95757, USA
| | | | - Arpita Kalla Vyas
- Department of Pediatrics, Washington University, St. Louis, MO 63110, USA
- College of Human Medicine, California Northstate University, Elk Grove, CA 95757, USA
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9
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Harville EW, Grady SK, Langston MA, Juarez PJ, Vilda D, Wallace ME. The public health exposome and pregnancy-related mortality in the United States: a high-dimensional computational analysis. BMC Public Health 2022; 22:2097. [PMID: 36384521 PMCID: PMC9670647 DOI: 10.1186/s12889-022-14397-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 10/19/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Racial inequities in maternal mortality in the U.S. continue to be stark. METHODS The 2015-2018, 4-year total population, county-level, pregnancy-related mortality ratio (PRM; deaths per 100,000 live births; National Center for Health Statistics (NCHS), restricted use mortality file) was linked with the Public Health Exposome (PHE). Using data reduction techniques, 1591 variables were extracted from over 62,000 variables for use in this analysis, providing information on the relationships between PRM and the social, health and health care, natural, and built environments. Graph theoretical algorithms and Bayesian analysis were applied to PHE/PRM linked data to identify latent networks. RESULTS PHE variables most strongly correlated with total population PRM were years of potential life lost and overall life expectancy. Population-level indicators of PRM were overall poverty, smoking, lack of exercise, heat, and lack of adequate access to food. CONCLUSIONS In this high-dimensional analysis, overall life expectancy, poverty indicators, and health behaviors were found to be the strongest predictors of pregnancy-related mortality. This provides strong evidence that maternal death is part of a broader constellation of both similar and unique health behaviors, social determinants and environmental exposures as other causes of death.
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Affiliation(s)
- E W Harville
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
| | - S K Grady
- Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA
| | - M A Langston
- Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA
| | - P J Juarez
- Department of Family and Community Medicine, Meharry Medical College, Nashville, TN, USA
| | - D Vilda
- Department of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - M E Wallace
- Department of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
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Helgeson ES, Palzer EF, Vock DM, Porrett P, Sawinski D, Matas AJ. Pre-kidney Donation Pregnancy Complications and Long-term Outcomes. Transplantation 2022; 106:2052-2062. [PMID: 35404873 PMCID: PMC9529757 DOI: 10.1097/tp.0000000000004146] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Hypertension and diabetes are contraindications for living kidney donation in young candidates. However, little is known about the long-term outcomes of women who had these pregnancy-related complications and subsequently became donors. In the general population, gestational hypertension (GHtn), preeclampsia/eclampsia, and gestational diabetes (GDM) are associated with long-term risks. METHODS Donors with the specified predonation complication were matched to contemporary control donors with pregnancies without the complication using nearest neighbor propensity score matching. Propensity scores were estimated using logistic regression with covariates for gravidity, blood pressure, glucose, body mass index, age, and creatinine at donation, donation year, race, relationship with recipient, and family history of disease. Long-term incidence of hypertension, diabetes, cardiovascular disease, and reduced renal function (estimated glomerular filtration rate [eGFR] <30, eGFR <45 mL/min/1.73 m 2 ) were compared between groups using proportional hazards models. RESULTS Of 1862 donors with predonation pregnancies, 48 had preeclampsia/eclampsia, 49 had GHtn without preeclampsia, and 43 had GDM. Donors had a long interval between first pregnancy and donation (median, 18.5 y; interquartile range, 10.6-27.5) and a long postdonation follow-up time (median, 18.0; interquartile range, 9.2-27.7 y). GHtn was associated with the development of hypertension (hazard ratio, 1.89; 95% confidence interval, 1.26-2.83); GDM was associated with diabetes (hazard ratio, 3.04; 95% confidence interval, 1.33-6.99). Pregnancy complications were not associated with eGFR <30 or eGFR <45 mL/min/1.73 m 2 . CONCLUSIONS Our data suggest that women with predonation pregnancy-related complications have long-term risks even with a normal donor evaluation. Donor candidates with a history of pregnancy-related complications should be counseled about these risks.
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Affiliation(s)
- Erika S. Helgeson
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Elise F. Palzer
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - David M. Vock
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Paige Porrett
- Division of Transplantation, Department of Surgery, University of Alabama at Birmingham, Birmingham, AL
| | - Deirdre Sawinski
- Division of Renal Electrolyte and Hypertension, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Arthur J. Matas
- Division of Transplantation, Department of Surgery, University of Minnesota, Minneapolis, MN
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Affiliation(s)
| | - Pamela N Peterson
- Denver Health Medical Center Denver CO.,University of Colorado Anschutz Medical Center Aurora CO
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12
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Hussey H, Hussey P, Meng ML. Peripartum considerations for women with cardiac disease. Curr Opin Anaesthesiol 2021; 34:218-225. [PMID: 33935168 PMCID: PMC8610034 DOI: 10.1097/aco.0000000000000992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW The aim of this review of cardiac disease in pregnancy is to delineate current best practices and highlight emerging themes in the literature. RECENT FINDINGS Cardiovascular disease is the leading cause of death among pregnant women in the United States. Many clinicians and institutions have developed care pathways to approach care in these high-risk patients including highly coordinated multidisciplinary teams. The diagnosis of pulmonary hypertension is the greatest risk factor for an adverse event in pregnant women. Vaginal delivery, with good neuraxial anesthesia, is usually the preferred mode of delivery in women with cardiac disease, although the rate of cesarean delivery is higher among women with heart disease. SUMMARY The leading cause of morbidity and mortality in pregnant women is cardiac disease. Preconception counseling is useful for optimizing patients for pregnancy and setting appropriate expectations about care and outcomes. Ensuring that women are cared for in centers with appropriate multidisciplinary resources is key for improving outcomes for cardio-obstetric patients.
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Affiliation(s)
- Hanna Hussey
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Patrick Hussey
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Marie-Louise Meng
- Department of Anesthesiology, Duke University, Durham, North Carolina, USA
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Lu MC, Noursi S. Summary and Conclusion: Framing a New Research Agenda on Maternal Morbidities and Mortality in the United States. J Womens Health (Larchmt) 2020; 30:280-284. [PMID: 33216690 PMCID: PMC8020501 DOI: 10.1089/jwh.2020.8877] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Maternal mortality in the United States is at an alarming rate. Research can have an important role in addressing maternal mortality, but our current understanding of its causes and prevention remains woefully incomplete. The collection of articles in this volume begin to frame a new research agenda by asking four critical questions. First, what truly makes vulnerable populations vulnerable? Second, how do we prevent pregnancy complications and their long-term sequelae? Third, how can we make maternity care safer for all women? Finally, what can we do about the social, structural, and environmental determinants of maternal health? Answers to these questions can help inform practice, systems, and policy change to reduce and ultimately eradicate maternal deaths in the United States.
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Affiliation(s)
- Michael C Lu
- Berkeley School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - Samia Noursi
- Office of Research on Women's Health, Office of the Director, National Institutes of Health, Bethesda, Maryland, USA
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