Literature DB >> 30113460

A retrospective cohort study of risk factors and pregnancy outcomes in 14,014 Chinese pregnant women.

Yuan-Yuan Yang1, Yi-Hua Fang, Xue Wang, Ying Zhang, Xiao-Jun Liu, Zong-Zhi Yin.   

Abstract

This study aims to investigate major complications or symptoms of pregnant women, causes of maternal near-miss, and issues that are relevant to severe maternal disease.A retrospective analysis was performed in the "maternal individual investigation form," which included all critical maternity patients admitted to the First Affiliated Hospital of Anhui Medical University from January 1, 2012 to September 31, 2015.A total of 14,014 pregnant patients who delivered at 28 to 42 weeks of gestation were included. Eight thousand eighty-six patients experienced complications or symptoms, and top 7 of these were postpartum hemorrhage, hypertension during pregnancy, diabetes, anemia, hepatopathy, nephroma, and connective tissue disease, of which the morbidity were 11.92%, 10.15%, 9.34%, 8.57%, 3.13%. 0.56%, and 0.55%, respectively. Delivery times, gestational weeks, and informal pregnancy examinations had significant correlation with maternal near-miss (P < .05); nevertheless, the age at pregnancy, number of pregnancies, and education were not so significant (P > .05). Two hundred sixty-five patients had severe maternal diseases (maternal near miss), and the top 5 causes for severe maternal morbidity were massive blood transfusion, thrombocytopenia, clinical feature of shock, uterus removal induced by uterus infection or bleeding, and coagulation dysfunction, of which the morbidity were 24.15%, 18.87%, 13.58%, 9.43%, and 6.79%, respectively.Delivery times, gestational weeks, and informal pregnancy examinations should be considered in maternal near miss patients. Moreover, hypertensive disorders during pregnancy, postpartum hemorrhage, anemia, thrombocytopenia, hepatopathy, and cardiopathy were the principal causes of maternal near miss. Therefore, the monitoring of these principal causes of severe maternity near miss is important for reducing the maternal morbidity and mortality.

Entities:  

Mesh:

Year:  2018        PMID: 30113460      PMCID: PMC6113036          DOI: 10.1097/MD.0000000000011748

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


Introduction

Since the 1980s, the global health community has focused on reducing maternal mortality.[ The global maternal mortality ratio (MMR, number of maternal deaths per 100,000 live births) decreased by approximately 48.8% from 422 in 1980 to 216 in 2015.[ However, 89 countries with the highest MMR remained more than 100 per 100,000 live births in 1990, whereas 13 countries made no sufficient progress.[ Sustainable Development Goals have been proposed to reduce MMR to a global average of 70/100,000 live births by the year of 2030.[ In order to reduce MMR and improve the maternal health of women, many countries have made a set of programs to expand its access to effective interventions and high-quality reproductive health care. Many social and economic factors are associated with maternal mortality. The World Health Organization (WHO) statistics revealed that 99% of all maternal deaths occur in developing countries,[ and studies have found that MMR varied between countries, and >50% of all maternal deaths were in only 6 countries in 2008 (India, Nigeria, Pakistan, Afghanistan, Ethiopia, and the Democratic Republic of Congo).[ Furthermore, in 2013, there was a variation in MMR from 956.8 in South Sudan to 2.4 in Iceland.[ The data suggest that there is a big imbalance between developed countries and developing counties. The main causes of maternal mortality are severe maternal morbidity (maternal near miss [MNM]), which was defined by the WHO as “a woman who nearly died but survived a complication that occurred during pregnancy, childbirth, or within 42 days of termination of pregnancy.”[ However, whether the terminology is “severe maternal morbidity,” or “MNM,” the main target is to identify women who have complications that occur with organ system failure, which include hemorrhage, hypertension, sepsis, or infections, as well as indirect causes.[ Statistical data revealed that most maternal mortality cases are caused by hemorrhage (27%), hypertension during pregnancy (14%), sepsis (11%), or infections, as well as indirect causes (27.5%).[ Studies have demonstrated that the cause patterns also vary substantially among region. A study reported that in 2008, MMR declined worldwide, but a noticeable change was the reduction in the number of births in East Asia, which resulted in an increase in the proportion of global maternal deaths from 23% (18–27) in 1980 to 52% (45–59) in 2008. Another surprising finding is that MMR rose in the USA, Canada, and Norway.[ In high-income regions in 2013, indirect and other direct causes were the main causes of maternal death. This was because abortion-related death, hemorrhage, hypertension, and maternal sepsis significantly decreased, which were the main causes of maternal death in 1990. By contrast, hemorrhage, hypertension, and maternal sepsis remain the most important causes in low-income countries.[ These data suggest that although MMR decreased in the past 30 years, the causes of maternal death changed especially in high-income countries. In China, MMR was 165 in 1980, 98 in 1990, and decreased to 58 in 2000, and further decreased to 27 at present.[ MMR decreased approximately by 83.6% from 1980 to 2015. The causes of maternal death were related to biomedical, reproductive, health service, socioeconomic, and cultural factors.[ The 3 major direct causes of maternal death in China were postpartum hemorrhage (27.0%), amniotic embolism (12.9%), and heart disease (10.9%), which was followed by gestational hypertension (8.0%) in 2012.[ MMR varied between urban and rural areas. For example, MMR was 22.2 in the city and 25.6 in rural areas in 2012. Although China's progress in MMR survival for the past 40 years has been impressive, it is far higher than that in most developed countries, as MMR was only 3 in Finland, Iceland, Greece, and Poland.[ Thus, understanding the causes of deaths would be very helpful for making more effective policy and health program decisions for reducing maternal deaths. In the present study, a total of 14,014 pregnant patients received medical services in our hospital for the past 4 years. We studied the frequencies of the main causes of MMR for these patients, providing new insights into the causes of maternal mortality in China.

Materials and methods

Study participants

A retrospective analysis was performed on all pregnant patents admitted to the First Affiliated Hospital of Anhui Medical University from January 1, 2012 to September 31, 2015, which included pregnant patients who labored at 28 to 42 weeks of gestation. The ages of the patients range within 14 to 50 years old. This hospital is a tertiary care teaching hospital in China. Patients who were admitted only to prevent miscarriage without any complications/symptoms were excluded. The classic WHO definition criterion in the year 2009 was used to identify MNM.[ The definition of postpartum hemorrhage, hypertension during pregnancy, diabetes, anemia, hepatopathy, nephroma, connective tissue disease, advanced maternal age, multiple pregnancies, and multiparity were followed the William's Obstetrics 23rd Ed.[ This study was conducted with approval from the Ethics Committee of the First Affiliated Hospital of Anhui Medical University and also was conducted in accordance with the declaration of Helsinki. Written informed consent was obtained from all participants.

Study design

Data collection was conducted by the medical staff who had received special training. Monitoring and filling in the maternal individual investigation form was performed from the day of admission. Following protocol, the data were recorded into the national maternal surveillance system by a specialist, and statistical analysis was performed.

Statistical analysis

Data acquisition and sorting were performed using Microsoft Excel 2007. All statistical analysis was performed using the SAS system software version 9.2. Patient numbers were analyzed and presented as “n.” The rates were expressed as percentage. Chi square was used to evaluate the differences in MNM and maternal death among groups. A P value <0.05 was used as a measure of statistical significance.

Results

During the study period, a total of 14,105 pregnant patients were included, and then 91 patients were excluded without enough information and failed to contact. Finally 14,014 admitted patients were available for selection. When we defined complications/symptoms as pregnancy with internal diseases or postpartum hemorrhage, among all patients included, 8086 patients experienced complications/symptoms and 265 patients had severe maternal diseases (MNM), accounting for 57.7% and 1.89%, respectively. Furthermore, 10 patients died of MNM, and the mortality rate of MNM was 1.24% (Table 1). The top 7 complications/symptoms and distribution rates in the 14,014 pregnant patients are presented in Table 2.
Table 1

Maternal statistic data cohort 2012 to 2015.

Table 2

Complications/symptoms in 14,014 pregnant patients.

Maternal statistic data cohort 2012 to 2015. Complications/symptoms in 14,014 pregnant patients.

Age, pregnant times, delivery times, and education were associated with severe maternal morbidity rates

MNM account for 265 of the 14,014 pregnant women, and the severe maternal morbidity rate in patients with the advanced age of 35 or above was 2.54%. The prevalence of MNM increased when pregnant times and delivery times increased. Moreover, the percentage of MNM was significantly increased if the pregnancy was terminated before 37 weeks of gestational or pregnancy examination times were <5 times. The incidence rate was strongly and significantly associated with pregnancy times and examination times (Table 3).
Table 3

Demographic characteristics among 265 case of maternal near miss.

Demographic characteristics among 265 case of maternal near miss.

The distribution of the 265 maternal near miss and critical manifestations

According to the diagnosis criteria of the WHO for the identification of MNM cases, the clinical manifestations and signs, laboratory test, and management were analyzed in the 265 severe pregnant patients. After further investigating the case distribution and classification, it was found that in the top 10 causes (Table 4), the top 3 complications/symptoms were hypertension during pregnancy (131 cases, account for 49.43%), postpartum hemorrhage (98 cases, account for 36.98%), and anemia (96 cases, account for 36.23%) (Table 5). The major approach used for terminating pregnancy was caesarean, which account for 80.75%. In the meantime, the major outcome was live birth, which account for 86.79% (Table 5).
Table 4

The critical manifestations of 265 maternal near miss.

Table 5

Distribution of 265 maternal near-miss cases and outcomes.

The critical manifestations of 265 maternal near miss. Distribution of 265 maternal near-miss cases and outcomes.

Discussion

From this study, we found that hypertensive disorders during pregnancy, postpartum hemorrhage, anemia, thrombocytopenia, hepatopathy, and cardiopathy were the principal causes of MNM. Delivery times, gestational weeks, and informal pregnancy examinations should be considered in MNM patients. Therefore, the monitoring of these principal causes of severe MNM is important for decreasing the maternal morbidity and mortality. Most maternal deaths were mainly caused by MNM such as hemorrhage, eclampsia, and sepsis. Most of these women died in low-income countries, and several countries in sub-Saharan Africa had very high MMR.[ Comprehensive studies have concluded that information on MNM is helpful for identifying health systems, providing estimates related to maternal health care.[ In the present study, we found that from January 1, 2012 to September 31, 2015, a total of 14,014 pregnant patients were included. Among them, 57.7% had complications/symptoms. The incidence of MNM was 1.89%, and MMR was 0.93%. The most frequent complications of MNM include hypertension, postpartum hemorrhage, anemia, thrombocytopenia, hepatopathy, and cardiopathy. In China, total prevalence of MMR was 27 in 2015.[ However, in our hospital, MMR was 93 from 2012 to 2015. It is far higher than the average level, and also far exceeds the level in rural areas in China.[ The analysis of the 14,014 pregnant patients revealed that 57.7% of them had complications/symptoms, and the incidence of MNM was 1.89%. However, approximately 15% of all pregnant women develop a potentially life-threatening complication worldwide. The MNM incidence rate was 0.05% to 14.98% in Africa, and 0.02% to 5.07% in Asia.[ It might because that the normal childbirth of healthy delivery women stayed in local hospitals, and most women with complications/symptoms were transferred into our hospital. Another reason might be the increase in MNM incidence itself. In China, the increase in MNM incidence was caused by many factors, including increase in maternal age, prepregnancy obesity, pre-existing chronic medical conditions, and cesarean delivery.[ It is worthy to mention that in our hospital, the main causes of maternal mortality are hypertension, postpartum hemorrhage, anemia, thrombocytopenia, hepatopathy, and cardiopathy. Maternal mortality is caused by direct and indirect factors. In developed countries, it is attributed to indirect factors, otherwise in China direct factors remain the main cause of maternal deaths.[ Recent statistical data revealed that the 3 major direct causes of maternal death in China were postpartum hemorrhage (27.0%), amniotic embolism (12.9%), and heart disease (10.9%), these were followed by gestational hypertension (8.0%) in 2012 [. However, in our hospital, the main causes were hypertension, postpartum hemorrhage, anemia, and thrombocytopenia. There were great differences with the ones in whole country. This bias might be that most women with complications/symptoms chose to undergo childbirth in our hospital. The proportion of patients with complications/symptoms was approximately 57% in the present study, whereas globally it was approximately 15% in all pregnant women.[ In 2012, the main cause of maternal deaths was complications/symptoms, and no patient died of postpartum hemorrhage in Beijing. In our area, maternal deaths were mainly attributed to postpartum hemorrhage (26.7%), complications/symptoms (26.7%), and other indirect factors (26.7%). In the West-North areas of China, the leading cause of maternal deaths was postpartum hemorrhage (nearly >30%, and >50% in some provinces).[ These results suggested that there were significant differences in causes among different regions in China, which might be attributed to the imbalance of medical condition and the level of clinical treatment in different regions. Other studies had demonstrated many social and economic factors, including maternal age, pre-existing chronic medical conditions, and cesarean delivery, which also increased the risk of MNM. Maternal race and ethnicity were associated with inconsistent outcomes. For example, African American women demonstrated a 4-fold higher MMR incidence than white women in the United States.[ Our study indicated that the high prevalence of MNM was probably correlated to advanced ages, multiple pregnancy and delivery, small gestational weeks, informal examinations, and low educational attainment, which also had significant difference among groups. The present study also showed that lower educational attainment and awareness regarding prenatal and postnatal health protection, as well as less informal examinations, also associated with MNM. Therefore, it is important to strengthen maternal awareness campaigns and health care, especially in low-income rural areas. Empowering medical staff with health education and improving the diagnosis of critically pregnant women would decrease the risk and prevalence of complications/symptoms, and achieve early detection and treatment. MNM patients should be admitted into the ICU, to improve the quality of life of patients and decrease mortality,[ which was named “life rescue procedure” and 1 reform of modern obstetric management policy. Moreover, in this study retrospective cohort analysis was carried out. Exposure status may be not clear when it is necessary to go back to explain the MNM outcomes. In conclusion, the highly frequent disorders in the women who died were hemorrhage, hypertension, infections, and indirect causes. Because of the higher MMR incidence in our hospital and many factors may take effects, more improvements should be done, such as a perinatal stage health care and emergency treatment, to decrease maternal mortality. The present information was only from 1 hospital; more multicenter studies should be done in the future.

Acknowledgments

The authors are particularly grateful to all the people who have given us help on our article. Fund Project: Application of semiconductor sequencing platform in non-invasive DNA prenatal detection.

Author contributions

Conceptualization: Yuan-Yuan Yang, Yi-Hua Fang, Ying Zhang, Xiao-Jun Liu, Zong-Zhi Yin. Data curation: Yuan-Yuan Yang, Yi-Hua Fang, Xue Wang, Ying Zhang, Xiao-Jun Liu, Zong-Zhi Yin. Formal analysis: Yuan-Yuan Yang, Yi-Hua Fang, Xue Wang, Xiao-Jun Liu. Funding acquisition: Yuan-Yuan Yang. Methodology: Yuan-Yuan Yang, Xiao-Jun Liu, Zong-Zhi Yin. Writing – original draft: Zong-Zhi Yin. Writing – review and editing: Zong-Zhi Yin.
  20 in total

1.  Maternal near miss and maternal death in the Pretoria Academic Complex, South Africa: A population-based study.

Authors:  Priya Soma-Pillay; Robert C Pattinson; Lerato Langa-Mlambo; Bongani S S Nkosi; Angus Peter Macdonald
Journal:  S Afr Med J       Date:  2015-09-21

2.  WHO maternal death and near-miss classifications.

Authors:  Robert Pattinson; Lale Say; João Paulo Souza; Nynke van den Broek; Cleone Rooney
Journal:  Bull World Health Organ       Date:  2009-10       Impact factor: 9.408

3.  Severe maternal morbidity: screening and review.

Authors:  Sarah K Kilpatrick; Jeffrey L Ecker
Journal:  Am J Obstet Gynecol       Date:  2016-08-22       Impact factor: 8.661

Review 4.  Pregnant and postpartum admissions to the intensive care unit: a systematic review.

Authors:  Wendy Pollock; Louise Rose; Cindy-Lee Dennis
Journal:  Intensive Care Med       Date:  2010-07-15       Impact factor: 17.440

5.  Global, regional, and national levels and causes of maternal mortality during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors:  Nicholas J Kassebaum; Amelia Bertozzi-Villa; Megan S Coggeshall; Katya A Shackelford; Caitlyn Steiner; Kyle R Heuton; Diego Gonzalez-Medina; Ryan Barber; Chantal Huynh; Daniel Dicker; Tara Templin; Timothy M Wolock; Ayse Abbasoglu Ozgoren; Foad Abd-Allah; Semaw Ferede Abera; Ibrahim Abubakar; Tom Achoki; Ademola Adelekan; Zanfina Ademi; Arsène Kouablan Adou; José C Adsuar; Emilie E Agardh; Dickens Akena; Deena Alasfoor; Zewdie Aderaw Alemu; Rafael Alfonso-Cristancho; Samia Alhabib; Raghib Ali; Mazin J Al Kahbouri; François Alla; Peter J Allen; Mohammad A AlMazroa; Ubai Alsharif; Elena Alvarez; Nelson Alvis-Guzmán; Adansi A Amankwaa; Azmeraw T Amare; Hassan Amini; Walid Ammar; Carl A T Antonio; Palwasha Anwari; Johan Arnlöv; Valentina S Arsic Arsenijevic; Ali Artaman; Majed Masoud Asad; Rana J Asghar; Reza Assadi; Lydia S Atkins; Alaa Badawi; Kalpana Balakrishnan; Arindam Basu; Sanjay Basu; Justin Beardsley; Neeraj Bedi; Tolesa Bekele; Michelle L Bell; Eduardo Bernabe; Tariku J Beyene; Zulfiqar Bhutta; Aref Bin Abdulhak; Jed D Blore; Berrak Bora Basara; Dipan Bose; Nicholas Breitborde; Rosario Cárdenas; Carlos A Castañeda-Orjuela; Ruben Estanislao Castro; Ferrán Catalá-López; Alanur Cavlin; Jung-Chen Chang; Xuan Che; Costas A Christophi; Sumeet S Chugh; Massimo Cirillo; Samantha M Colquhoun; Leslie Trumbull Cooper; Cyrus Cooper; Iuri da Costa Leite; Lalit Dandona; Rakhi Dandona; Adrian Davis; Anand Dayama; Louisa Degenhardt; Diego De Leo; Borja del Pozo-Cruz; Kebede Deribe; Muluken Dessalegn; Gabrielle A deVeber; Samath D Dharmaratne; Uğur Dilmen; Eric L Ding; Rob E Dorrington; Tim R Driscoll; Sergei Petrovich Ermakov; Alireza Esteghamati; Emerito Jose A Faraon; Farshad Farzadfar; Manuela Mendonca Felicio; Seyed-Mohammad Fereshtehnejad; Graça Maria Ferreira de Lima; Mohammad H Forouzanfar; Elisabeth B França; Lynne Gaffikin; Ketevan Gambashidze; Fortuné Gbètoho Gankpé; Ana C Garcia; Johanna M Geleijnse; Katherine B Gibney; Maurice Giroud; Elizabeth L Glaser; Ketevan Goginashvili; Philimon Gona; Dinorah González-Castell; Atsushi Goto; Hebe N Gouda; Harish Chander Gugnani; Rahul Gupta; Rajeev Gupta; Nima Hafezi-Nejad; Randah Ribhi Hamadeh; Mouhanad Hammami; Graeme J Hankey; Hilda L Harb; Rasmus Havmoeller; Simon I Hay; Ileana B Heredia Pi; Hans W Hoek; H Dean Hosgood; Damian G Hoy; Abdullatif Husseini; Bulat T Idrisov; Kaire Innos; Manami Inoue; Kathryn H Jacobsen; Eiman Jahangir; Sun Ha Jee; Paul N Jensen; Vivekanand Jha; Guohong Jiang; Jost B Jonas; Knud Juel; Edmond Kato Kabagambe; Haidong Kan; Nadim E Karam; André Karch; Corine Kakizi Karema; Anil Kaul; Norito Kawakami; Konstantin Kazanjan; Dhruv S Kazi; Andrew H Kemp; Andre Pascal Kengne; Maia Kereselidze; Yousef Saleh Khader; Shams Eldin Ali Hassan Khalifa; Ejaz Ahmed Khan; Young-Ho Khang; Luke Knibbs; Yoshihiro Kokubo; Soewarta Kosen; Barthelemy Kuate Defo; Chanda Kulkarni; Veena S Kulkarni; G Anil Kumar; Kaushalendra Kumar; Ravi B Kumar; Gene Kwan; Taavi Lai; Ratilal Lalloo; Hilton Lam; Van C Lansingh; Anders Larsson; Jong-Tae Lee; James Leigh; Mall Leinsalu; Ricky Leung; Xiaohong Li; Yichong Li; Yongmei Li; Juan Liang; Xiaofeng Liang; Stephen S Lim; Hsien-Ho Lin; Steven E Lipshultz; Shiwei Liu; Yang Liu; Belinda K Lloyd; Stephanie J London; Paulo A Lotufo; Jixiang Ma; Stefan Ma; Vasco Manuel Pedro Machado; Nana Kwaku Mainoo; Marek Majdan; Christopher Chabila Mapoma; Wagner Marcenes; Melvin Barrientos Marzan; Amanda J Mason-Jones; Man Mohan Mehndiratta; Fabiola Mejia-Rodriguez; Ziad A Memish; Walter Mendoza; Ted R Miller; Edward J Mills; Ali H Mokdad; Glen Liddell Mola; Lorenzo Monasta; Jonathan de la Cruz Monis; Julio Cesar Montañez Hernandez; Ami R Moore; Maziar Moradi-Lakeh; Rintaro Mori; Ulrich O Mueller; Mitsuru Mukaigawara; Aliya Naheed; Kovin S Naidoo; Devina Nand; Vinay Nangia; Denis Nash; Chakib Nejjari; Robert G Nelson; Sudan Prasad Neupane; Charles R Newton; Marie Ng; Mark J Nieuwenhuijsen; Muhammad Imran Nisar; Sandra Nolte; Ole F Norheim; Luke Nyakarahuka; In-Hwan Oh; Takayoshi Ohkubo; Bolajoko O Olusanya; Saad B Omer; John Nelson Opio; Orish Ebere Orisakwe; Jeyaraj D Pandian; Christina Papachristou; Jae-Hyun Park; Angel J Paternina Caicedo; Scott B Patten; Vinod K Paul; Boris Igor Pavlin; Neil Pearce; David M Pereira; Konrad Pesudovs; Max Petzold; Dan Poenaru; Guilherme V Polanczyk; Suzanne Polinder; Dan Pope; Farshad Pourmalek; Dima Qato; D Alex Quistberg; Anwar Rafay; Kazem Rahimi; Vafa Rahimi-Movaghar; Sajjad ur Rahman; Murugesan Raju; Saleem M Rana; Amany Refaat; Luca Ronfani; Nobhojit Roy; Tania Georgina Sánchez Pimienta; Mohammad Ali Sahraian; Joshua A Salomon; Uchechukwu Sampson; Itamar S Santos; Monika Sawhney; Felix Sayinzoga; Ione J C Schneider; Austin Schumacher; David C Schwebel; Soraya Seedat; Sadaf G Sepanlou; Edson E Servan-Mori; Marina Shakh-Nazarova; Sara Sheikhbahaei; Kenji Shibuya; Hwashin Hyun Shin; Ivy Shiue; Inga Dora Sigfusdottir; Donald H Silberberg; Andrea P Silva; Jasvinder A Singh; Vegard Skirbekk; Karen Sliwa; Sergey S Soshnikov; Luciano A Sposato; Chandrashekhar T Sreeramareddy; Konstantinos Stroumpoulis; Lela Sturua; Bryan L Sykes; Karen M Tabb; Roberto Tchio Talongwa; Feng Tan; Carolina Maria Teixeira; Eric Yeboah Tenkorang; Abdullah Sulieman Terkawi; Andrew L Thorne-Lyman; David L Tirschwell; Jeffrey A Towbin; Bach X Tran; Miltiadis Tsilimbaris; Uche S Uchendu; Kingsley N Ukwaja; Eduardo A Undurraga; Selen Begüm Uzun; Andrew J Vallely; Coen H van Gool; Tommi J Vasankari; Monica S Vavilala; N Venketasubramanian; Salvador Villalpando; Francesco S Violante; Vasiliy Victorovich Vlassov; Theo Vos; Stephen Waller; Haidong Wang; Linhong Wang; XiaoRong Wang; Yanping Wang; Scott Weichenthal; Elisabete Weiderpass; Robert G Weintraub; Ronny Westerman; James D Wilkinson; Solomon Meseret Woldeyohannes; John Q Wong; Muluemebet Abera Wordofa; Gelin Xu; Yang C Yang; Yuichiro Yano; Gokalp Kadri Yentur; Paul Yip; Naohiro Yonemoto; Seok-Jun Yoon; Mustafa Z Younis; Chuanhua Yu; Kim Yun Jin; Maysaa El Sayed Zaki; Yong Zhao; Yingfeng Zheng; Maigeng Zhou; Jun Zhu; Xiao Nong Zou; Alan D Lopez; Mohsen Naghavi; Christopher J L Murray; Rafael Lozano
Journal:  Lancet       Date:  2014-05-02       Impact factor: 79.321

Review 6.  Systematic review of the magnitude and case fatality ratio for severe maternal morbidity in sub-Saharan Africa between 1995 and 2010.

Authors:  Dan K Kaye; Othman Kakaire; Michael O Osinde
Journal:  BMC Pregnancy Childbirth       Date:  2011-09-28       Impact factor: 3.007

7.  Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America.

Authors:  Bremen De Mucio; Edgardo Abalos; Cristina Cuesta; Guillermo Carroli; Suzanne Serruya; Daniel Giordano; Gerardo Martinez; Claudio G Sosa; João Paulo Souza
Journal:  Reprod Health       Date:  2016-11-04       Impact factor: 3.223

8.  WHO systematic review of maternal morbidity and mortality: the prevalence of severe acute maternal morbidity (near miss).

Authors:  Lale Say; Robert C Pattinson; A Metin Gülmezoglu
Journal:  Reprod Health       Date:  2004-08-17       Impact factor: 3.223

9.  Progress on the maternal mortality ratio reduction in Wuhan, China in 2001-2012.

Authors:  Shaoping Yang; Bin Zhang; Jinzhu Zhao; Jing Wang; Louise Flick; Zhengmin Qian; Dan Zhang; Hui Mei
Journal:  PLoS One       Date:  2014-02-21       Impact factor: 3.240

10.  Severe maternal morbidity and near misses in tertiary hospitals, Kelantan, Malaysia: a cross-sectional study.

Authors:  Mohd Noor Norhayati; Nik Hussain Nik Hazlina; Zaharah Sulaiman; Mohd Yacob Azman
Journal:  BMC Public Health       Date:  2016-03-05       Impact factor: 3.295

View more
  9 in total

1.  Improving Risk Assessment of Miscarriage During Pregnancy with Knowledge Graph Embeddings.

Authors:  Hegler C Tissot; Lucas A Pedebos
Journal:  J Healthc Inform Res       Date:  2021-05-01

2.  Hypertensive disorders of pregnancy associated with adverse pregnant outcomes in patients with systemic lupus erythematosus: a multicenter retrospective study.

Authors:  Dongying Chen; Minxi Lao; Xiaoyan Cai; Hao Li; Yanfeng Zhan; Xiaodong Wang; Zhongping Zhan
Journal:  Clin Rheumatol       Date:  2019-08-03       Impact factor: 2.980

3.  Non-invasive prenatal testing reveals copy number variations related to pregnancy complications.

Authors:  Guangping Wu; Rong Li; Chao Tong; Miaonan He; Zhiwei Qi; Huijuan Chen; Tao Deng; Hailiang Liu; Hongbo Qi
Journal:  Mol Cytogenet       Date:  2019-08-30       Impact factor: 2.009

4.  Low Incidence of Maternal Near-Miss in Zhejiang, a Developed Chinese Province: A Cross-Sectional Study Using the WHO Approach.

Authors:  YuanYing Ma; LiSan Zhang; Xian Wang; Liqian Qiu; Therese Hesketh; Xinyu Wang
Journal:  Clin Epidemiol       Date:  2020-04-29       Impact factor: 4.790

Review 5.  The global prevalence of maternal near miss: a systematic review and meta-analysis.

Authors:  Sedigheh Abdollahpour; Hamid Heidarian Miri; Talat Khadivzadeh
Journal:  Health Promot Perspect       Date:  2019-10-24

6.  The national maternal near miss surveillance in China: A facility-based surveillance system covered 30 provinces.

Authors:  Yi Mu; Xiaodong Wang; Xiaohong Li; Zheng Liu; Mingrong Li; Yanping Wang; Qi Li; Kui Deng; Jun Zhu; Juan Liang
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

7.  Factors Affecting the Risk of Postpartum Hemorrhage in Pregnant Women in Tibet Health Facilities.

Authors:  Zhuo-Ma Pubu; Zhuo-Ma Bianba; Ge Yang; La-Mu CyRen; De-Ji Pubu; Ka-Zhu Suo Lang; Bian Zhen; Qu-Zong Zhaxi; Zhuo-Ga Nyma
Journal:  Med Sci Monit       Date:  2021-02-13

8.  Correlation of Platelet Function with Postpartum Hemorrhage and Venous Thromboembolism in Patients with Gestational Hypertension Complicated with Diabetes.

Authors:  Nan Li; Yang Liu; Anqi Yun; Shurong Song
Journal:  Comput Math Methods Med       Date:  2022-07-18       Impact factor: 2.809

9.  Human Development Index of the maternal country of origin and its relationship with maternal near miss: A systematic review of the literature.

Authors:  Santiago García-Tizón Larroca; Francisco Amor Valera; Esther Ayuso Herrera; Ignacio Cueto Hernandez; Yolanda Cuñarro Lopez; Juan De Leon-Luis
Journal:  BMC Pregnancy Childbirth       Date:  2020-04-16       Impact factor: 3.007

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.