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
中科院分区:
文献类型:
--
作者:
Cherubin S;Peoples T;Gillard J;Lakhal-Littleton S;Kurinczuk JJ;Nair M
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.
登录
查看更多内容
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
影响因子:
7.7
作者:
Lakhal-Littleton, Samira;Wolna, Magda;Robbins, Peter A.
通讯作者:
Robbins, Peter A.
影响因子:
18.2
作者:
Forster, Olaf;Hilfiker-Kleiner, Denise;Sliwa, Karen
通讯作者:
Sliwa, Karen
影响因子:
5.6
作者:
Karaye, Kamilu M.;Yahaya, Isah A.;Henein, Michael Y.
通讯作者:
Henein, Michael Y.
影响因子:
37.8
作者:
Anand, Inder S.;Gupta, Pankaj
通讯作者:
Gupta, Pankaj