Systematic review and meta-analysis of prolactin and iron deficiency in peripartum cardiomyopathy.

Systematic review and meta-analysis of prolactin and iron deficiency in peripartum cardiomyopathy.
复制标题

DOI:
10.1136/openhrt-2020-001430
复制
发表时间:
2020-10
期刊:
影响因子:
2.7
通讯作者:
Nair M
Nair M
中科院分区:
其他
文献类型:
--
作者:
Cherubin S;Peoples T;Gillard J;Lakhal-Littleton S;Kurinczuk JJ;Nair M

文献摘要

参考文献

相似文献

我们对围产期心肌病 (PPCM) 女性与健康孕妇和产后女性的分子生物标志物水平进行了系统回顾和荟萃分析,以:(1) 评估 PPCM 中催乳素 (PRL) 代谢的证据,(2) 确定 PPCM 中缺铁生物标志物的证据,(3) 确定与 PPCM 相关的其他生物标志物。我们从一开始就不受语言限制地检索了 Medline、Embase、护理和联合健康文献累积索引 (CINAHL) 以及全球健康图书馆,以比较 PPCM 病例与健康对照的生物标志物水平。使用生物标志物水平差异的随机效应模型生成汇总标准化平均差(SMD)。两项研究评估了 PRL 与 PPCM 的关联,并报告 PPCM 病例的总 PRL 水平较高。没有研究调查 PPCM 中的铁代谢。与 PPCM 相关的其他生物标志物包括血清钠尿肽水平(SMD=3.77,95% CI 0.71 至 6.82)、白蛋白(SMD=-0.67,95% CI -1.01 至 -0.32)、C 反应蛋白(SMD=1.67,95% CI 0.22 至 3.12)、硒(SMD=-0.73,95% CI -1.58 至 0.12)、心肌肌钙蛋白(SMD=1.06,95% CI 0.33 至 1.80)、肌酐(SMD=0.51,95% CI 0.33 至 0.69)、白细胞(SMD=0.44,95% CI 0.07 至0.82),血红蛋白(SMD=-0.45,95% CI -0.64 至-0.26)。需要更强有力的分子研究来探索人类受试者中催乳素和 P​​PCM 之间的关联,并确定缺铁(伴或不伴贫血)在多大程度上导致 PPCM 风险。
We conducted a systematic review and meta-analysis of studies that compared levels of molecular biomarkers in women with peripartum cardiomyopathy (PPCM) to those in healthy pregnant and postpartum women to: (1) assess the evidence for prolactin (PRL) metabolism in PPCM, (2) ascertain the evidence for biomarkers of iron deficiency in PPCM, (3) identify other biomarkers associated with PPCM. We searched Medline, Embase, Cumulated Index to Nursing and Allied Health Literature (CINAHL) and the Global Health Library from inception without language restriction for studies that compared biomarkers levels in PPCM cases to healthy controls. Pooled standardised mean difference (SMD) was generated using a random effects model for the difference in levels of biomarkers. Two studies assessed the association of PRL with PPCM, and reported that PPCM cases have higher levels of total PRL. No studies investigated iron metabolism in PPCM. Other biomarkers associated with PPCM included serum levels of natriuretic peptides (SMD=3.77, 95% CI 0.71 to 6.82), albumin (SMD=-0.67, 95% CI -1.01 to -0.32), C-reactive protein (SMD=1.67, 95% CI 0.22 to 3.12), selenium (SMD=-0.73, 95% CI -1.58 to 0.12), cardiac troponins (SMD=1.06, 95% CI 0.33 to 1.80), creatinine (SMD=0.51, 95% CI 0.33 to 0.69), white bloodcells (SMD=0.44, 95 % CI 0.07 to 0.82), haemoglobin (SMD=-0.45, 95% CI -0.64 to-0.26). More robust molecular studies are needed to explore the association between prolactin and PPCM in human subjects and to determine the extent to which iron deficiency (with or without anaemia) contributes to the risk of PPCM.
DOI: 10.1093/eurheartj/ehx355
发表时间: 2017-09-14
影响因子: 39.3
作者:
Hilfiker-Kleiner D;Haghikia A;Berliner D;Vogel-Claussen J;Schwab J;Franke A;Schwarzkopf M;Ehlermann P;Pfister R;Michels G;Westenfeld R;Stangl V;Kindermann I;Kühl U;Angermann CE;Schlitt A;Fischer D;Podewski E;Böhm M;Sliwa K;Bauersachs J
通讯作者: Bauersachs J
DOI: 10.7554/elife.19804
发表时间: 2016-11-29
期刊: ELIFE
影响因子: 7.7
作者:
Lakhal-Littleton, Samira;Wolna, Magda;Robbins, Peter A.
通讯作者: Robbins, Peter A.
DOI: 10.1016/j.ejheart.2008.07.005
发表时间: 2008-09-01
影响因子: 18.2
作者:
Forster, Olaf;Hilfiker-Kleiner, Denise;Sliwa, Karen
通讯作者: Sliwa, Karen
DOI: 10.3390/ijms16047644
发表时间: 2015-04-01
影响因子: 5.6
作者:
Karaye, Kamilu M.;Yahaya, Isah A.;Henein, Michael Y.
通讯作者: Henein, Michael Y.
DOI: 10.1161/circulationaha.118.030099
发表时间: 2018-07-03
期刊: CIRCULATION
影响因子: 37.8
作者:
Anand, Inder S.;Gupta, Pankaj
通讯作者: Gupta, Pankaj