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. Author manuscript; available in PMC: 2024 Apr 22.
Published in final edited form as: Contraception. 2016 May 3;94(6):678–700. doi: 10.1016/j.contraception.2016.04.014

Progestin-only contraception and thromboembolism: A systematic review

Naomi K Tepper a,*, Maura K Whiteman a, Polly A Marchbanks a, Andra H James b, Kathryn M Curtis a
PMCID: PMC11034842  NIHMSID: NIHMS1982386  PMID: 27153743

Abstract

Background:

Women with medical conditions associated with increased risk for thrombosis generally should not use estrogen-containing contraceptives; however, less is known about progestin-only contraceptives (POCs) and thrombosis risk.

Objectives:

The objective was to identify evidence regarding the risk of venous thromboembolism (VTE) or arterial thromboembolism [stroke or acute myocardial infarction (AMI)] among women using POCs.

Methods:

We searched the PubMed database for all articles published from database inception through January 2016 for studies examining thrombosis among women using POCs. We included studies which examined women with medical conditions associated with thrombosis risk, as well as studies of women in the general population (either without these conditions or who were not specified to have these conditions). Hormonal contraceptives of interest included progestin-only pills (POPs), injectables, implants and levonorgestrel-releasing intrauterine devices (LNG-IUDs). Outcomes of interest included VTE, stroke and AMI.

Results:

There were 26 articles of good to poor quality that met inclusion criteria; 9 studies examined women with medical conditions and 20 examined women in the general population. Two studies found that, among smokers and women with certain thrombogenic mutations, use of depot medroxyprogesterone acetate (DMPA) had elevated odds of VTE compared with nonsmokers or those without mutations, although confidence intervals were wide and overlapped with odds among nonusers. One study found that, among women with previous VTE, use of POCs (including DMPA) was associated with a nonsignificant increased odds of recurrent VTE (all of which were among DMPA users); two other studies that examined POCs other than DMPA did not observe an association with recurrent VTE. Two studies found that use of DMPA among healthy women was also associated with increased odds of VTE. Two studies found that use of POCs for therapeutic indications was associated with increased odds of VTE. Studies did not find increased odds of VTE with POPs for contraceptive purposes, implants or LNG-IUDs nor were there increased odds of stroke or AMI with any POCs.

Conclusion:

The majority of evidence identified by this systematic review did not suggest an increase in odds for venous or arterial events with use of most POCs. Limited evidence suggested increased odds of VTE with use of injectables (three studies) and use of POCs for therapeutic indications (two studies, one with POCs unspecified and the other with POPs). Any increase in risk likely translates to a small increase in absolute numbers of thrombotic events at the population level.

Keywords: Progestin-only contraception, Venous thromboembolism, Stroke, Myocardial infarction, Systematic review

1. Introduction

The association between combined hormonal contraceptives and thrombosis is well established. Combined hormonal contraceptives, containing estrogen and progestin, are associated with a 2- to 3-fold increased risk of venous thromboembolism (VTE), including deep venous thrombosis and pulmonary embolism (PE), compared with nonuse [1,2]. Combined hormonal contraceptives are also associated with a 2-fold increased risk of arterial thromboembolism (ATE), including stroke and acute myocardial infarction (AMI), compared with nonuse [2,3]. Although these events are overall rare among women of reproductive age [VTE 5–10/10,000 women years (WY), stroke 21/100,000 WY and AMI 10/100,000 WY], they can have devastating complications associated with significant morbidity [2,3]. Development of thrombosis is most likely due to estrogen effects on the coagulation system [4]. Historically, progestin-only contraceptives (POCs) were not thought to be linked with thrombosis. However, evidence has demonstrated that combined oral contraceptives with the same estrogen dose but different progestins are associated with differential VTE risk, suggesting that the progestin component may play a role in thrombosis development [1]. In addition, few recent studies have found an elevated risk of VTE with use of POCs, specifically with use of depot medroxyprogesterone acetate (DMPA) that delivers a relatively higher dose and potency of progestin [5,6].

The US Medical Eligibility Criteria for Contraceptive Use, 2010 (US MEC) provides guidance for safety of contraceptive methods among women with certain characteristics or medical conditions and includes guidance for many conditions associated with increased risk of thrombosis such as postpartum, history of thrombosis, thrombogenic mutations, systemic lupus erythematosus, diabetes, hypertension and others [7]. This systematic review was conducted to identify evidence on thrombosis risk associated with POC use among women with medical conditions that increase their baseline risk for thrombosis, as well as among women in the general population. This review was conducted as part of the process of updating the US MEC.

2. Materials and methods

We conducted this systematic review according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines [8].

2.1. Literature search

We searched the PubMed database for all relevant articles published from database inception through January 2016 (see Appendix A for search strategy). We searched for all primary research articles published in any language. We also searched reference lists of identified articles and relevant review articles for additional citations of interest. We did not consider unpublished studies, abstracts of conference presentations or dissertations.

2.2. Selection criteria

Articles were included in this review if they were primary research articles on VTE or ATE among women using POCs. We included studies examining women with certain characteristics or medical conditions that put them at increased risk for VTE or ATE, such as history of VTE or ATE, thrombogenic mutations, postpartum, sickle cell disease, hypertension, diabetes, smoking or systemic lupus erythematosus. We also included studies examining women in the general population (those without these conditions or who were not specified to have the conditions) to get a better understanding of their thrombosis risk with POC use. The contraceptive methods of interest included all POCs [progestin-only pills (POPs), injectables, implants and levonorgestrel-releasing intrauterine device (LNG-IUD)]. The reference group of interest was use of nonhormonal contraceptives or no contraceptive method. The outcomes of interest were VTE, stroke or AMI.

2.3. Study quality assessment and data synthesis

Three authors (NT, MW and KC) summarized and systematically assessed the evidence. We considered several study features that could impact study quality and potential biases. Related to the study population, we assessed whether studies excluded women with or controlled for important risk factors such as history of thrombosis or recent pregnancy. Related to contraceptive use, we assessed whether use was current (within 3 months of the thrombosis event) and was confirmed by medical records or review of pill packs. Related to outcomes of interest, we assessed whether diagnoses were confirmed by physician or medical record review. We assessed the quality of each individual piece of evidence using the system developed by the United States Preventive Services Task Force [9]. Summary measures were not calculated.

3. Results

The search identified 1035 articles, of which 21 met inclusion criteria (Fig. 1) [3,5,6,1027]. Most excluded articles addressed combined hormonal contraceptives only, did not have a comparison group of nonusers, were review articles or otherwise did not address the question of interest. Five additional articles were identified from reference lists of included articles or relevant reviews [2832]. Therefore, a total of 26 articles, describing 9 cohort studies [3,12,1922,25,27,32] and 17 case–control studies [5,6,10,11,1318,23,24,26,2831], were included in this review. Nine studies addressed VTE or ATE among women with specific medical conditions or characteristics associated with risk of thrombosis, including systemic lupus erythematosus [22], hypertension [10,14], smoking [10,14,29], thrombophilia [5,12] and history of VTE [12,25,27,32] (Table 1). Twenty studies addressed VTE or ATE among women in the general population (Table 2) [3,5,6,10,11,1321,23,24,26,28,30,31]. Most of these studies excluded women with significant risk factors for thrombosis, such as history of thrombosis or recent pregnancy or controlled for risk factors in analyses.

Fig. 1.

Fig. 1.

Flow chart of systematic review. Abbreviations: AMI, acute myocardial infarction; DMPA, depot medroxyprogesterone acetate; IUD, intrauterine device; LNG, levonorgestrel; MTHFR, methylenetetrahydrofolate reductase; POC, progestin-only contraceptive; POP, progestin-only pill; VTE, venous thromboembolism.

Table 1.

Evidence for risk of venous or arterial thrombosis among women with medical conditions using POCs

Author, published, location, support Study design, years Population Medical condition Exposure Outcome Results Strengths/limitations Quality grading
Mintz [22], 1984 Mexico; Funding not stated Prospective cohort 1981–1983 Ages 18–40 years Cohort: using POP or NET-EN Comparison group: using IUD, sterilization, no sexual activity Exclusions: liver abnormalities, history thrombosis, abnormal uterine bleeding, breast or uterine neoplasm Follow-up time not reported Lupus Inactive for at least 6 months Confirmed by study investigators POP (LNG) NET-EN Timing of use not stated (AMI was within 13 weeks after first NET-EN injection) Study investigators PE AMI Study investigators
Method Total N PE N (%) AMI N (%)
POP 15 1 (6.7%) 0
NET–EN 10 0 1 (10%)
Comparison 18 1 (5.6%) 0
Strengths: Outcomes confirmed by study investigators
Limitations: No information on source of study population or response rates Unclear whether contraceptive use was measured only at baseline or throughout study Follow-up time for specific events not reported PE and AMI assessment not described Small sample size, no assessment of study power Statistical tests for comparisons of interest not reported; no adjustment for potential confounders Large and differential loss to follow-up: 40% for NET-EN, 80% for POP and not reported among comparison group
II-2, poor
WHO [10], 1998 Multiple countries in Africa, Asia, Europe and Latin America; Funding: World Bank, NIH Case–control 1989–1993 Ages 20–44 years Cases (N= 1137 VTE, 2196 stroke, 364 AMI): admitted to hospital, identified by physicians Controls (hospital) (N=9997): hospitalized at same hospitals, matched by 5-year age band Exclusions: TIA, death within 24 h of admission, history of VTE, stroke or AMI, menopause, pregnancy, bedrest or surgery HTN Smoking Participant questionnaire [45] POP POI (most DMPA) Use within 3 months [45] Participant questionnaire VTE Stroke AMI Ascertained by recruitment system at hospitals [45] Diagnosis verified by medical records and imaging
HTN POP VTE aOR* (95% CI) Stroke aOR (95% CI) AMI aOR (95% CI)
Yes Yes 1.2 (0.1–23.7) 10.9 (3.6–33.8) 1.9(0.1–38.4)
Yes No 1.5 (0.98–2.4) 7.2 (6.1–8.5) 8.1 (4.9–13.3)
No Yes 2.0 (0.8–4.7) 0.95(0.5–1.8) 1.7(0.2–12.5)
No No Ref Ref Ref
*
Adjusted for BMI
Adjusted for marital status, smoking
Adjusted for diabetes, smoking
Smoking POP VTE aOR* (95% CI) Stroke aOR (95% CI) AMI aOR (95% CI)
Yes Yes 2.4 (0.7–8.3) 2.5 (0.5–13.2) 7.2(0.7–74.6)
Yes No 1.3 (0.97–1.6) 1.5 (1.3–1.8) 5.0 (3.4–7.3)
No Yes 1.8 (0.6–5.4) 0.99 (0.6–1.8) NR
No No Ref Ref Ref
Smoking POI VTE aOR* (95% CI) Stroke aOR (95% CI) AMI aOR (95% CI)
Yes Yes 7.0 (0.4–138) NR NR
Yes No 1.3 (0.97–1.6) 1.5 (1.3–1.8) 5.0 (3.4–7.3)
No Yes 1.9 (0.5–7.0) 1.1 (0.6–1.8) 0.95 (0.1–8.9)
No No Ref Ref Ref
NR=not reported due to no cases in certain cells
*
Adjusted for BMI
Adjusted for HTN, marital status
Adjusted for HTN, diabetes
Strengths: Multiple countries Proxy interviews for deceased cases [45] VTE, stroke and AMI diagnoses confirmed with medical records Matched on age and adjusted for confounding; excluded women with recent pregnancy
Limitations: Hospital controls Participation rate of controls not reported (97% participation rate of cases) [45] Contraceptive use and medical conditions not verified Contraceptive formulations not specified < 10 events for some comparisons of interest
II-2, fair
Heinemann [14], 1999 Europe; Funding: Schering AG Case–control 1993–1996 Ages 16–44 years Cases (N=394): hospitalized and death reports [46] Controls (hospital and community) (N=2366): hospital controls and community controls (from general practice or neighborhood) [47], matched on age Exclusions: history thrombosis, hysterectomy, pregnancy, surgery, severe trauma HTN Smoking Participant questionnaire [47] POP Use within 3 months Participant questionnaire [46], confirmed by examining pill packs VTE Ischemic stroke AMI Obtained from hospitals and death reports, confirmed by radiology results and necropsy reports [46]
HTN POP use VTE aOR* (95% CI) Stroke aOR (95% CI) AMI aOR (95% CI)
Yes Yes 2.3 (0.2–28.1) 0.8 (0.03–20.4)
Yes No 1.4 (0.7–2.8) 9.5 (3.7–24.1) 8.3 (3.8–18.5)
No Yes 0.6 (0.2–1.8) 2.8 (0.4–18.7) 1.3 (0.4–4.3)
No No Ref Ref Ref
*
Adjusted for BMI
Adjusted for alcohol, smoking
Adjusted for diabetes, education, smoking

Smoking POP use VTE aOR* (95% CI) Stroke aOR (95% CI) AMI aOR (95% CI)
Yes Yes 0.95 (0.2–6.0) 10.4 (1.1–98.8)
Yes No 1.9 (1.2–2.9) 2.6 (1.3–4.9) 10.2 (5.0–20.6)
No Yes 1.5 (0.4–5.7) 0.4 (0.03–6.5) 3.9 (0.5–32.0)
No No Ref Ref Ref
*
Adjusted for BMI
Adjusted for HTN, alcohol
Adjusted for HTN, diabetes, education
Strengths: Multinational Use of both hospital and community controls (combined, but results similar when examined separately) Proxy interviews for deceased cases [47] POP use verified VTE, stroke and AMI diagnoses confirmed by radiology and necropsy Matched on age and adjusted for confounders; excluded women with recent pregnancy
Limitations: <10 POP users for some comparisons of interest
II-2, good
Rosenberg [29], 2001 United States; Funding: NIH Case–control 1985–1999 Ages <45 years Cases: hospitalized Controls (hospital): admission lists or patient files from same hospitals, admitted with diagnosis unrelated to OC use Smoking ≥25 cigarettes per day POP Use within 1 month before admission Participant questionnaire Inpatient interviews prompted with pictures Validation of some participants by physicians (86% agreement for hospital interviews, 81% agreement for phone interviews) AMI Phone call to collaborating hospitals, confirmed by review of records
Method Cases Controls
POP  1    1
Past and never users 591 2710
Strengths: POP use confirmed AMI diagnosis confirmed by medical records
Limitations: 1 case and 1 control using POPs OR not calculated for comparison of interest
II-2, poor
Conard [12], 2004 France;Funding source not stated Retrospective cohort 1992–1997 Ages 15–50 years Cohort (N=102): women using POP referred to thrombosis clinic, mean follow-up 31.2 months Comparison group (N=102 with VTE): nonhormonal, matched on age, date of first visit and thrombosis risk factors; mean follow-up 35 months Thrombophilia (blood test by study investigators) History VTE (questionnaire) POP (chlormadinone acetate) Current use at beginning of follow-up Participant questionnaire VTE Ascertained by study investigators in thrombosis clinic
Method VTE (N) VTE aOR* (95% CI)
POP 3 0.8 (0.2–3.9)
Comparison 6 Ref
*
Adjusted for age, thrombophilia, BMI
Strengths: Exposed and unexposed from same clinic population VTE diagnoses confirmed by follow-up in clinic Matched on age and probable personal VTE history; adjusted for age, BMI, thrombophilia
Limitations: <10 VTEs in users and nonusers Did not account for recent pregnancy Did not measure contraceptive use during follow-up Unable to examine risk separately for thrombophilias or history VTE, due to small numbers No information on initial response rates; median follow-up times similar between groups
I-2, poor
Christiansen [32], 2010 The Netherlands; Funding:Netherlands Heart Foundation, Prevention Fund/ZonMW Prospective cohort 1998–2000 Ages 16–48 years Cohort (N=12): POC users with previous VTE during OC use or pregnancy, followed in anticoagulant clinic; total follow-up 52 WY Comparison group (N=80): currently not using hormonals and not pregnant, previous VTE during OC use or pregnancy, followed in anticoagulant clinic; total follow-up 760 WY Exclusions: recent cancer History VTE while using COCs or pregnant Initial VTE confirmed by imaging POP DMPA Use within 1 month Participant questionnaire Recurrent VTE Ascertained by participant questionnaire, confirmed by medical records and radiology results
Method VTE (N) Recurrent VTE IRR*(95% CI)
POC 2 (both in women using DMPA) 3.6 (0.7–17.3)
Comparison 8 Ref
*
Adjusted for age
Strengths: Exposed and unexposed from same clinic population VTE diagnoses confirmed by imaging
Limitations: <10 VTEs in users and nonusers POP formulations not specified All POCs analyzed together
II-2, poor
Vaillant-Roussel [25], 2011 France; Funding: Public funds Retrospective cohort 1995–2008 Ages 17–53 years Cohort (N=34): POP users, with previous VTE during COC use, from hospital records and referred to clinic Comparison group (N=126): nonusers, with previous VTE from same hospital Median follow-up 74 months History VTE while using COCs Hospital records POP Use within 1 month Participant questionnaire Recurrent VTE Ascertained by hospital or office records, confirmed by radiology results
Method VTE (N) Recurrent VTE HR (95% CI)
POP   7 1.3 (0.5–3.0)
Comparison 24 Ref
Strengths: Exposed and unexposed from same patient population VTE diagnoses confirmed with radiology results
Limitations: POP use not confirmed; type unknown <10 recurrent VTE among POP users Did not adjust for potential confounders
II-2, poor
Bergendal [5], 2014 Sweden; Funding: Janssen-Cilag, Novartis, Organon, Schering, Wyeth, AFA Insurance, Karolinska Instituet, Medical Products Agency Case–control 2003–2009 Ages 18–54 years Cases: inpatient and outpatient Controls (community): from population register, matched on age Exclusions: history thrombosis, pregnancy within 3 months, current cancer Thrombogenic mutations Blood sample by investigators POP DMPA Implant LNG-IUD Use within 3 months Participant questionnaire VTE Diagnosis confirmed by medical records and imaging Included only if initiated anticoagulation
Factor V Leiden carrier POC Cases Controls VTE OR (95% CI)
Yes Yes   35  9 5.4 (2.5–13)
Yes No 101   55 2.6 (1.8–3.7)
No Yes 107   54 1.0 (0.7–1.3)
No No 378 525 Ref
*
Adjusted for age, smoking, BMI, immobilization

FVL and DMPA: OR 16.7 (95% CI 2.4–714)
FVL and LNG-IUD: OR 3.2 (95% CI 1.2–10.4)
MTHFR POC Cases Controls VTE OR (95% CI)
Yes Yes 148 46 3.6 (2.5–5.4)*
Yes No 226 289 0.9 (0.7–1.1)
No Yes 77 76 1.1 (0.8–1.7)
No No 259 291 Ref
*
No longer significant when excluded obese and severely immobilized women

No statistically significant elevated odds of VTE among women with prothrombin gene mutation, factor XIII, glycoprotein IIIa, endothelial nitric oxide synthase, plasminogen activator inhibitor
Strengths: Population-based VTE diagnoses confirmed with medical records Adjusted for confounders, excluded women with recent pregnancy Response rate high (>88%) in both groups
Limitations: POC use not confirmed <10 POC users for some comparisons of interest
II-2, good
Le Moigne [27], 2016 France; Support not stated Prospective cohort 1992–2013 Ages ≤50 years Cohort (N=163): POC users, with previous VTE, from hospital records; median duration of follow-up 5.1 years after stopping anticoagulation Comparison group (N=256): nonusers, with previous VTE from same hospital; median duration of follow-up 3.8 years after stopping anticoagulation Exclusions: active cancer, hormone replacement, anticoagulant therapy, periods of exposure to combined hormonal contraception or pregnancy History VTE Hospital records POP (LNG or DSG) ETG implant LNG-IUD Timing of use not stated Ascertainment not stated Recurrent VTE Ascertained by review of hospital diagnoses, confirmed by imaging
Method VTE (N) Recurrent VTE IRR*(95% CI)
POC   6 0.6 (0.3–1.5)
Comparison 29 Ref
*
Adjusted for age
Strengths: Exposed and unexposed from same patient population VTE diagnoses confirmed by imaging
Limitations: Method of ascertainment of POC use not stated Timing of POC use relative to VTE not stated Comparison group may have used POCs during follow-up All POCs analyzed together <10 recurrent VTE among POC users
II-2, poor

Abbreviations: AMI, acute myocardial infarction; aOR, adjusted odds ratio; BMI, body mass index; CI, confidence interval; DSG, desogestrel; HR, hazard ratio; HTN, hypertension; IRR, incidence rate ratio; IUD, intrauterine device; LNG, levonorgestrel; MTHFR, methyl tetrahydrofolate reductase; NET-EN, norethisterone enanthate; NIH, National Institutes of Health; PE, pulmonary embolism; POI, progestin-only injectable; POP, progestin-only pill; TIA, transient ischemic attack; VTE, venous thromboembolism.

3.1. Women with medical conditions that carry risk of thrombosis

3.1.1. VTE among women with medical conditions

Eight studies reported odds of VTE among women with certain medical conditions using POCs (Table 1) [5,10,12,14,22,25,27,32]. Two studies assessed odds of VTE among women with hypertension using POPs (Fig. 2) [10,14]. Both studies found that, among women with hypertension using POPs, odds of VTE were not statistically significantly elevated compared with nonusers without hypertension [odds ratio (OR) 1.2, 95% confidence interval (CI) 0.1–23.7 in one study; OR 2.3, 95% CI 0.2–28.1 in the other study].

Fig. 2.

Fig. 2.

Risk* of VTE among women with hypertension using POCs. Abbreviations: POP, progestin-only pill; VTE, venous thromboembolism. *Reference group is nonusers without hypertension.

The same two studies discussed above also assessed odds of VTE among women who smoked and used POPs (Fig. 3) [10,14]. Neither study found a statistically significantly elevated odds of VTE among smokers using POPs (OR 2.4, 95% CI 0.7–8.3 in one study and OR 0.95, 95% CI 0.2–6.0 in the other study, both compared with nonusers who did not smoke). One of the studies also assessed smokers using injectables (mostly DMPA) and found that, compared with nonsmokers who did not use injectables, the OR for VTE was 7.0 (95% CI 0.4–138), which was higher than the ORs for VTE for smoking with no injectable use (OR 1.3, 95% CI 0.97–1.6) and injectable use with no smoking (OR 1.9, 95% CI 0.5–7.0), although CIs were wide and not statistically significant [10].

Fig. 3.

Fig. 3.

Risk* of VTE among smokers using POCs. Abbreviations: POP, progestin-only pill; VTE, venous thromboembolism. *Reference group is nonusers who did not smoke.

Five studies examined women with thrombogenic mutations or a history of VTE (Fig. 4) [5,12,25,27,32]. One of the studies examined women with thrombogenic mutations using DMPA and found that the odds of VTE were elevated among women with the factor V Leiden (FVL) mutation using DMPA compared with nonusers without the mutation (OR 16.7, 95% CI 2.4–714) [5]. The OR was also elevated among women with FVL not using POCs (OR 2.6, 95% CI 1.8–3.7) but odds were not reported for use of DMPA compared with nonuse among women without FVL. This study also examined the association of VTE with LNG-IUD use among women with FVL. Relative to nonusers without FVL, similar ORs were detected for women with FVL using LNG-IUDs (OR 3.2, 95% CI 1.2–10.4) and women with FVL without POC use (OR 2.6, 95% CI 1.8–3.7) [5]; odds among women without FVL using LNG-IUDs were not reported. Odds of VTE among women with FVL were also increased among all POC users analyzed together (OR 5.4, 95% CI 2.5–13) and among nonusers (OR 2.6, 95% CI 1.8–3.7), compared with nonusers without FVL. This study also detected an elevated unadjusted OR for VTE among women with the methylenetetrahydrofolate reductase (MTHFR) polymorphism and POC use as compared to nonusers without MTHFR (OR 3.6, 95% 2.5–5.4); however, the OR was no longer significant after excluding obese and severely immobilized women. Odds of VTE were not elevated among women with MTHFR not using POCs (OR 0.9, 95% CI 0.7–1.1). Increased odds of VTE were not detected in this study among women with other thrombogenic mutations using POCs. One study examined women with a personal or family history of VTE or hereditary thrombophilia and found no association between POP use and VTE (OR 0.8, 95% CI 0.2–3.9) [12]. Three studies examined risk for recurrent VTE. One study found that, among women with history of VTE, odds of recurrent VTE were elevated among women using POCs (all recurrent VTEs occurred among DMPA users) compared with nonhormonal users; however, this did not reach statistical significance (OR 3.6, 95% CI 0.7–17.3) [32]. However, two studies examined use of POPs or non-DMPA POCs (POPs, LNG-IUDs and implants) analyzed together and neither found statistically significantly elevated odds of VTE compared with nonhormonal users (OR 1.3, 95% CI 0.5–3.0 and OR 0.6, 95% CI 0.3–1.5) [25,27].

Fig. 4.

Fig. 4.

Risk* of VTE among women with thrombogenic mutations or history of VTE using POCs. Abbreviations: DMPA, depot medroxyprogesterone acetate; FVL, Factor V Leiden; IUD, intrauterine device; LNG, levonorgestrel; MTHFR, methylenetetrahydrofolate reductase; POC, progestin-only contraceptive; POP, progestin-only pill; VTE, venous thromboembolism. *Reference group is nonusers with thrombogenic mutations or history of VTE, except Bergendal (reference group nonusers without thrombogenic mutations).

One study addressed women with systemic lupus erythematosus using POCs (POPs containing LNG or NET-EN) [22]. There was 1 PE among 15 women using POPs (6.7%) and 1 PE among 18 women using nonhormonal or no method (5.6%). Statistical tests were not conducted.

3.1.2. Stroke among women with medical conditions

One study examined odds of stroke among women with hypertension using POPs [10]. The study found that, among women with hypertension, odds of stroke were increased among women using POPs (OR 10.9, 95% CI 3.6–33.8) and not using POPs (OR 7.2, 95% CI 6.1–8.5) but were not elevated among women without hypertension using POPs (OR 0.95, 95% CI 0.5–1.8), compared with nonusers without hypertension.

The same study also examined women who smoked and found that odds of stroke were not statistically significantly elevated among smokers using POPs compared with nonusers who did not smoke [10].

3.1.3. AMI among women with medical conditions

Two studies assessed odds of AMI among women with hypertension using POPs [10,14]. Neither study found a statistically significantly increased odds of AMI among women with hypertension using POPs, compared with nonusers without hypertension (OR 1.9, 95% CI 0.1–38.4 in one study; OR 0.8, 95% CI 0.03–20.4 in the other study).

Three studies examined women who smoked [10,14,29]. One study found that odds of AMI were elevated but not statistically significant among smokers using POPs (OR 7.2, 95% CI 0.7–74.6) but were significant among smokers not using POPs (OR 5.0, 95% CI 3.4–7.3), both compared to nonsmokers not using POPs [10]. Another study found that odds of AMI were statistically significantly elevated but similar among smokers using POPs (OR 10.4, 95% CI 1.1–98.8) and not using POPs (OR 10.2, 95% CI 5.0–20.6), both compared with nonusers who did not smoke [14]. A third study reported that, among women who smoked ≥ 25 cigarettes per day, there was one case (0.16%) using POPs and one control (0.03%) using POPs; however, statistical tests for this comparison were not calculated [29].

One study reported instances of AMI among women with lupus [22]. There was one AMI among ten women using NET-EN (10%). There were no AMIs among women using POPs or among the comparison group of nonhormonal users.

3.2. Women in the general population

3.2.1. VTE among women in the general population

The search identified 13 publications from 11 studies that reported odds of VTE among women in the general population using POCs compared with nonuse of hormonal contraception (Table 2 and Fig. 5) [5,6,10,11,14,16,17,1921,24,26,28]. While these studies represented women in the general population, several attempted to create a “healthy” cohort by excluding women with risk factors for VTE, such as previous VTE or recent pregnancy.

Fig. 5.

Fig. 5.

Risk* of VTE among women in the general population using POCs. Abbreviations: DMPA, depot medroxyprogesterone acetate; DSG, desogestrel; IUD, intrauterine device; LNG, levonorgestrel; NOR, norethindrone; POC, progestin-only contraceptive; POP, progestin-only pill; VTE, venous thromboembolism. *Reference group is nonusers.

Three studies reported odds of VTE among women using DMPA [5,6,10]. Two of these studies found statistically significantly increased odds of VTE among women using DMPA compared with nonusers. Van Hylckama Vlieg found that women using DMPA had a statistically significant increased odds of VTE compared with nonusers (OR 3.0, 95% CI 1.2–7.5) [6]. Bergendal found that women using DMPA had statistically significant increased odds of VTE compared with nonusers (OR 2.2, 95% CI 1.3–4.0) [5]. The remaining study found a similar magnitude of risk that did not reach statistical significance with use of progestin-only injectables, reported to be mostly DMPA (OR 2.2, 95% CI 0.7–7.3) [10].

Two studies reported risk of VTE among women using implants [5,20]. Lidegaard found that the adjusted rate ratio of all VTEs was statistically significantly elevated among women using implants compared with past or never users (rate ratio 2.1, 95% CI 1.3–3.5) [20]. This risk was attenuated and no longer significant when the analysis was limited to confirmed VTEs (rate ratio 1.4, 95% CI 0.6–3.4). Bergendal did not find increased odds of VTE with use of implants and desogestrel POPs combined, compared with nonhormonal users [5].

Five studies reported odds of VTE among women using LNG-IUDs compared with nonhormonal users [5,6,1921]. None of the studies found increased odds of VTE with use of LNG-IUDs compared with nonuse (OR ranged from 0.3 to 0.9).

Eight articles from seven studies reported odds of VTE among women using POPs compared with nonusers [5,10,14,16,17,19,21,24]. Studies did not find increased odds with use of POPs for contraceptive purposes compared with nonuse (OR ranged from 0.6 to 2.6; none reached statistical significance). Poulter found that odds of VTE were elevated among women using POPs for therapeutic indications compared with nonusers (OR 5.9, 95% CI 1.2–30.1), although conditions being treated were not stated and formulations and doses of POPs were not reported [24].

Three studies reported risk of VTE among women using all POCs combined or unspecified [11,26,28]. None of the studies found increased odds of VTE among women using POCs for contraceptive purposes compared with nonusers (OR ranged from 0.98 to 1.2). Vasilakis found that women using POCs (not specified) had an elevated but not statistically significant increased relative risk (RR) of VTE, compared with nonusers (RR 2.4, 95% CI 0.8–6.5) [26]. When stratified by indication for use, women using POCs for therapeutic reasons (primarily menstrual disorders) had a significantly increased RR of VTE compared with nonusers (RR 5.3, 95% CI 1.5–18.7).

3.2.2. Stroke among women in the general population

Eight articles from seven studies reported odds of stroke (ischemic or unspecified) among women using POCs (Table 2) [3,10,14,15,18,23,24,31]. Among these studies, one reported on progestin-only injectables (primarily DMPA) [10], two reported on implants [3,23], one reported on the LNG-IUD [3] and seven reported on POPs (including unspecified doses used for therapeutic reasons) [3,10,14,15,18,24,31]. None of the studies found elevated odds of stroke with use of POCs compared with nonuse (OR ranging from 0.7 to 1.6).

3.2.3. AMI among women in the general population

Seven articles from six studies reported odds of AMI among women using POCs (Table 2) [3,10,13,14,23,24,30]. Among these studies, one study reported on progestin-only injectables (primarily DMPA) [10], two studies reported on implants [3,23], one study reported on the LNG-IUD [3] and six studies reported on POPs (including unspecified doses used for therapeutic reasons) [3,10,13,14,24,30]. Petitti found that odds of AMI were elevated among implant (Norplant®) users compared with nonusers, but the CI was wide and crossed 1 (OR 3.5, 95% CI 0.2–56.5) [23]. Lidegaard also found that odds of AMI were elevated among implant users compared with nonusers, but the CI crossed 1 (OR 2.1, 95% CI 0.7–6.7) [3]. The remaining studies did not find elevated odds of AMI with use of progestin-only injectables, LNG-IUD or POPs compared with nonuse (OR ranging from 0.7 to 1.5).

4. Discussion

Evidence identified by this systematic review generally found that any risk of venous or arterial thrombosis among women with certain medical conditions was not further elevated with use of POCs. Among women with hypertension, odds of stroke were higher with use of POPs compared with nonuse, but CIs overlapped. Similar results were found among smokers using POPs. One study suggested that injectable use among women who smoke increased the odds of VTE compared with smokers who did not use injectables [10]. Another study suggested significantly elevated odds of VTE among women with FVL who used DMPA compared with nonuse [5]. The same study also found a significantly elevated odds of VTE among women with the MTHFR polymorphism who used POCs compared with nonuse; however, this risk was attenuated and no longer significant when excluding obese and severely immobilized women. One study suggested an elevated odds of recurrent VTE among women with a history of VTE using POCs (all of which occurred in DMPA users); however, this did not reach statistical significance [32]; two other studies examining non-DMPA POCs found no increased odds of recurrent VTE.

Evidence identified by this systematic review generally found no statistically significant increased odds of arterial or venous thrombosis among women in the general population using POPs, implants or LNG-IUDs, compared with nonuse. However, among the three studies examining use of DMPA, the two more recent studies suggested elevated odds of VTE with use of DMPA [5,6]. The only other study to specifically report VTE risk with use of injectables was an older study published in 1998 that included other types of injectables and found an elevated OR that did not reach statistical significance [10]. In addition, this systematic review identified two studies that suggested increased odds of VTE with use of POCs for therapeutic indications for which the dose is typically higher [24,26]. These results suggest the potential for a dose–response relationship between progestin dose and VTE risk; alternatively, they may suggest residual confounding associated with women who choose to use DMPA or, in the studies of therapeutic use, residual confounding related to the underlying condition being treated.

The current review expands on several previously published metaanalyses assessing POC use, by including more recent studies and including results for women with medical conditions. A metaanalysis that included four studies on the risk of VTE among women using POCs (all types combined) found that odds were not significantly elevated (OR 1.45, 95% CI 0.92–2.26) [33]. A more recent metaanalysis that included eight studies on the risk of VTE similarly found that odds were not significantly elevated with use of all POCs (OR 1.03, 95% CI 0.76–1.39) or with use of POPs or LNG-IUDs [34]. However, use of injectables was associated with an elevated risk of VTE, when combined odds were calculated from two studies (OR 2.67, 95% CI 1.29–5.53) [6,10]. A metaanalysis that included six studies on the risk of stroke among women using POCs found that the combined OR was not elevated (OR 0.96, 95% CI 0.70–1.31) [35]. The estimated odds did not change when injectables were excluded. A metaanalysis that included six studies on the risk of AMI among women using POCs also found that odds were not significantly elevated (OR 1.07, 95% CI 0.62–1.84) [36]. The estimated odds did not change when injectables were excluded.

The mechanism of thrombosis is complex and involves alterations to many different components of the hemostatic system. Potential biological effects of POCs on the hemostatic system are not well understood. Progestins have variable effects on clotting factors, and in addition, these effects likely vary with progestin type, potency, dose and route of administration. Studies have generally not found deleterious effects on coagulation parameters, including fibrinogen, clotting factors and platelet function, with use of POCs [3639]. However, progestins may have certain effects on vasculature that could potentially reduce blood flow, including increased distensibility in veins and increased vasoconstriction in arteries [38]. Progestins have been found to have varying effects on other biological parameters. Studies have shown that different POCs can cause changes in lipid parameters in both positive and negative directions [36]. DMPA and certain POPs have been associated with decreased HDL, increased total cholesterol and increased triglycerides [36]. Studies have also found increased insulin resistance with use of DMPA and etonogestrel implants [36]. However, it is not clear how these biological effects associated with POCs translate into clinical thrombosis outcomes and whether there are any markers predictive of these outcomes.

Any potential risk of thrombosis with use of POCs may be compounded in women with certain medical conditions that elevate the risk of thrombosis. Even if POCs confer no or small increased risk of thrombosis among healthy women, there is theoretical concern that use among women already at elevated risk could further increase that risk to a concerning level. The US MEC includes recommendations for many conditions and characteristics associated with increased risk of thrombosis [7]. The risk of VTE among postpartum women is 2.5–84 times higher than that among nonpregnant nonpostpartum women [40]. Certain inherited conditions, such as antithrombin deficiency, protein C deficiency, protein S deficiency and FVL, confer a relative risk for VTE of 5–15 times higher compared with individuals without the condition [41]. Individuals with systemic lupus erythematosus have 3–8 times higher risk of VTE and individuals with inflammatory bowel disease have 3–4 times higher risk [42]. Obesity, hypertension, diabetes and smoking confer 1.5–2 times higher risk of VTE [42,43]. The risk of thrombosis also increases with increasing age [42]. One study of postmenopausal women (mean age 58 years) did not find increased risk of VTE with use of POCs (all analyzed together) [28]. Another study of women aged > 50 years found increased risk of VTE with DMPA use; however, exact OR and CI were not reported [44]. It is not clear whether these findings can be extrapolated to older women of reproductive age, however. Therefore, the present systematic review identified little direct evidence on further increases in risk related to POC use among women with significant thrombosis risk factors.

There are several limitations of this body of evidence, which was of good to poor quality. Most of the studies had small numbers for analyses of interest, and therefore, the studies had low power to detect differences between groups and some elevated point estimates with wide CIs were difficult to interpret. Several studies obtained information on contraceptive use from patient report or proxy report, which was not further verified and may be subject to recall bias [5,6,10,1316,23,25]. Some studies did not verify thrombosis diagnoses with medical records or other measures, which may lead to misclassification of individuals who were evaluated for thrombosis but ultimately ruled out [3,19,22]. This might bias results if individuals using contraception are more likely to be referred for evaluation of symptoms of thrombotic events. Several studies reported results for all POCs combined or did not specify formulation and dose of POC [11,24,2628,32]. Combining all POCs together in analyses might result in attenuated risk estimates. Several studies did not report statistical tests for the comparison of POC use versus nonuse [22,29,30,44]. Some studies did not account for recent pregnancy or other important risk factors such as history of thrombosis [12,17,18,23,25,26,31].

In conclusion, this systematic review identified level II-2, good to poor quality evidence on the risk of venous and arterial thrombosis among women using POCs who also have medical conditions or characteristics associated with thrombosis risk. Evidence did not suggest increased risk of venous or arterial thrombosis among women with hypertension or lupus using POCs. Limited evidence from three studies suggested increased risk of VTE with use of injectables among smokers, women with thrombogenic mutations and women with a history of VTE. This review also identified level II-2, good to poor quality evidence on the risk of venous and arterial thrombosis among women in the general population using POCs. Evidence did not suggest increased risk of VTE with use of POPs, implants or LNG-IUDs. Evidence also did not suggest increased risk of stroke or AMI with use of any POCs. Limited evidence from four studies suggested increased risk of VTE with use of injectables and use of POCs for therapeutic indications. Any elevated risk is likely small and represents only a slight increase in absolute numbers of thrombotic events at the population level.

Table 2.

Evidence for risk of venous or arterial thrombosis among women with no or unspecified medical conditions using POCs

Author, publication, location, support Study design, years Population Exposure Outcome Results Strengths/limitations Quality grading
Thorogood [30], 1991 England and Wales; Funding: British Heart Foundation, Committee on Safety of Medicines, Family Health International Case–control 1986–1988 Ages <40 years Cases: death certificates Controls (community): living controls from same general practitioner, matched on age (5-year age groups) and marital status Exclusions: resident of institution for 1 month, pregnant within 2 months, another life threatening illness such as cancer POP Use within 1 month Physician questionnaire Death due to AMI Diagnosis codes from death certificates, confirmed by post-mortem reports and medical records
Method Cases Controls
POP   3   12
Never or no use within 10 years 66 143
Strengths: AMI diagnoses confirmed by medical records
Limitations: Use of deceased cases and living controls <10 cases using POPs OR not reported for comparison of interest
II-2, poor
Lidegaard [15], 1993 Denmark; Support not stated Case–control 1985–1989 Ages 15–44 years Cases: first episode identified from national registry using discharge diagnosis codes Controls (community): randomly selected from national registry, matched on age Exclusions: history thromboembolism, current pregnancy, HTN; controls also excluded if they had migraine or other pre-disposing medical factor POP Use at time of event Participant questionnaire Ischemic stroke Identified by diagnosis codes Confirmed by physician or subject confirmation or CT scan
Method Cases Controls Stroke aOR* (95% CI)
POP   7   18 0.9 (0.4–2.4)
Never users 56 181 Ref
*
Adjusted for age, smoking, education
Strengths: National dataset Stroke diagnoses confirmed by physician or subject or radiology results
Limitations: <10 cases using POPs POP use not confirmed Included TIA Did not account for recent pregnancy
II-2, fair
Tzourio [31], 1995 France; Funding: GLAXO France Case–control 1990–1993 Ages 18–44 years Cases (N=41): hospitalized with first episode, diagnosis codes Controls (hospital) (N=62): randomly selected from same hospitals, orthopedic or benign rheumatologic illnesses Exclusions: not stated (no participants had history of stroke) POP Use within 1 month Participant questionnaire Ischemic stroke Identified by diagnosis codes Confirmed by radiology results
Method Cases N (%) Controls N (%) Stroke OR*
POP 1 (2%) 4 (6%) 1.0
*
Reference group not clearly stated
Strengths: Stroke diagnoses confirmed by radiology results
Limitations: <10 cases and controls using POPs POP use not confirmed Did not account for recent pregnancy or other confounding factors Reference group not clearly stated Did not report CI
II-2, poor
Lidegaard [16], 1998 Denmark; Funding: Organon, Wyeth-Ayerst, Schering AG Case–control 1994–1995 Ages 15–44 years Cases: identified from national registry using discharge diagnostic codes Controls (community): randomly selected from national registry Exclusions: history VTE or AMI, pregnancy at time of thrombosis POP Current use (at time of admission for cases and time of interview for controls) Participant questionnaire VTE Identified by diagnosis codes and physician confirmation Classified as uncertain, probable or certain (based on radiologic results and/or anticoagulation); all analyzed together
Method Cases Controls VTE aOR* (95% CI)
POP  4  6 2.6 (0.7–9.8)
Former users 130 618 Ref
*
Adjusted for age, age at first birth, smoking
Strengths: High response rate for cases and controls (approximately 90%)High percent (>95%) VTE diagnoses confirmed by radiologic results and/or anticoagulation
Limitations: <10 cases and controls using POPs POP use not confirmed Did not account for recent pregnancy
II-2, fair
Petitti [23], 1998 United States; Funding: NIH Pooled case–control 1991–1995 (stroke) [48,49] 1991–1994 (AMI) [50] Ages 18–44 years
Stroke [48,49]:
Cases: discharge diagnoses from hospitals, death registers
Controls (community): random-digit dialing of residents of same counties as cases or randomly selected from insurance plan and matched on age and location
Exclusions: history heart disease, stroke
AMI [50]:
Cases: discharge diagnoses from hospital, emergency rooms Controls (community): randomly selected from insurance plan, matched on age and location
Exclusions: history heart disease
Implant (Norplant®) Use within 1 month [4850] Participant questionnaire Ischemic stroke AMI Diagnosis codes, confirmed by physician review of records
Method Cases Controls Stroke aOR* (95% CI)
Implant  1    3 1.0 (0.1-9.2)
Noncurrent users 517 1544 Ref
*
Adjusted for age
Method Cases Controls AMI aOR* (95% CI)
Implant  1    1 3.5 (0.2–56.5)
Noncurrent users 306 1048 Ref
*
Adjusted for age
Strengths:Stroke and AMI diagnoses confirmed by medical records
Limitations:Implant use obtained from proxys for deceased cases and not confirmed < 5 cases and controls using implants Did not account for pregnancy/postpartum or other important confounders
II-2, fair
WHO [10], 1998 Multiple countries in Africa, Asia, Europe and Latin America; Funding: World Bank, NIH Case–control 1989–1993 Ages 20–44 years Cases: admitted to hospital, identified by physicians Controls (hospital): hospitalized at same hospitals, matched by 5-year age band Exclusions: TIA, death within 24 h of admission, history of VTE, stroke or AMI, menopause, pregnancy, bedrest or surgery POP POI (most DMPA) Use within 3 months [45] Participant questionnaire VTE Stroke AMI Ascertained by recruitment system at hospitals [45] Diagnosis verified by medical records and imaging
Method Cases Controls VTE aOR* (95% CI)
POP   21  63 1.8 (0.8–4.2)
POI   11  34 2.2 (0.7–7.3)
Nonusers 635 2288 Ref
*
Adjusted for BMI
Method Cases Controls Stroke aOR* (95% CI)
POP  27  60 1.1 (0.6-1.9)
POI  25  81 0.9 (0.5-1.5)
Nonusers 1774 5183 Ref
*
Adjusted for HTN, marital status, smoking
Method Cases Controls AMI aOR* (95% CI)
POP  3  6 0.98 (0.2–6.0)
POI  1  7 0.7 (0.1–6.0)
Nonusers 259 795 Ref
*
Adjusted for HTN, diabetes, smoking

All results similar when reported separately for Europe and developing countries
Strengths: Multiple countries Proxy interviews for deceased cases [45] VTE, stroke and AMI diagnoses confirmed with medical records Matched on age and adjusted for confounding; excluded women with recent pregnancy
Limitations: Hospital controls Participation rate of controls not reported (97% participation rate of cases) [45] Contraceptive use and medical conditions not verified Contraceptive formulations not specified < 10 events for some comparisons of interest
II-2, fair
Dunn [13], 1999 England, Scotland, Wales; Funding: NV Organon, Schering AG Case–control 1993–1995 Ages 16–44 years
Cases: hospitals or death register
Controls (community): same general practice as cases, matched on age
Exclusions: History AMI, pregnancy within 6 wks, menopause, hysterectomy, oophorectomy, breast or ovarian cancer
POP Use within 3 months Participant or proxy (for deceased cases) questionnaire; validated with records from general practitioner or family planning clinic AMI Diagnosis codes from hospital records or death records, confirmed by physician review of medical records
Method Cases Controls AMI aOR* (95% CI)
POP  9  49 1.5 (0.6–3.7)
No oral contraception 386 1467 Ref
*
Adjusted for smoking, BMI, blood pressure measurement in past year, diabetes, angina, hypertension, family hx ischemic heart disease, use of other drugs, additional variables from univariate analysis; interview and medical record data
Strengths: AMI diagnosis confirmed by medical records ORs adjusted for important confounders
Limitations: <10 cases using POPs
II-2, fair
Heinemann [14], 1999 Europe; Funding: Schering AG Case–control 1993–1996 Ages 16–44 years Cases: hospitalized and death reports [46] Controls (hospital and community): hospital controls and community controls (from general practice or neighborhood) [47], matched on age Exclusions: history thrombosis, hysterectomy, pregnancy, surgery, severe trauma POP Use within 3 months Participant questionnaire [46], confirmed by examining pill packs VTE Ischemic stroke lAMI Obtained from hospitals and death reports, confirmed by radiology results and necropsy reports [46]
Method Cases Controls VTE aOR* (95% CI)
POP  7  54 0.7 (0.3–1.7)
Nonusers 174 1346 Ref
*
Adjusted for BMI
Method Cases Controls Stroke aOR* (95% CI)
POP   3   10 1.6 (0.2–10.7)
Nonusers 87 482 Ref
*
Adjusted for HTN, alcohol, smoking
Method Cases Controls AMI aOR* (95% CI)
POP  7   17 0.9 (0.3–2.9)
Nonusers 126 457 Ref
*
Adjusted for HTN, diabetes, education, smoking
Strengths: Multinational Use of both hospital and community controls (combined, but results similar when examined separately) Proxy interviews for deceased cases [47] POP use verified VTE, stroke and AMI diagnoses confirmed by radiology and necropsy Matched on age and adjusted for confounders; excluded women with recent pregnancy
Limitations: <10 POP users for some comparisons of interest
II-2, good
Poulter [24], 1999 (Same study as WHO, 1998 [10]) Multiple countries in Africa, Asia, Europe and Latin America; Funding: World Bank, NIH Case–control 1989–1995 Ages 20–49 years Cases: admitted to collaborating hospitals Controls (hospitalized): hospitalized, matched by 5-year age band Exclusions: TIA, history thrombosis, natural or surgical menopause, pregnant or postpartum, prolonged bed rest, surgery POP for therapeutic reasons Use within 3 months [45] Participant questionnaire [45] VTE Stroke AMI Ascertained by recruitment system at hospitals [45] Diagnosis confirmed by medical records and imaging
Method Cases Controls VTE aOR* (95% CI)
POP 3 3 5.9 (1.2–30.1)
Past or never users NR NR Ref
*
Adjusted for BMI
Method Cases Controls Stroke aOR* (95% CI)
POP 2 6 1.1 (0.2–7.1)
Past or never users NR NR Ref
*
Adjusted for hypertension, marital status, smoking
Method Cases Controls AMI aOR* (95% CI)
POP 2 3 0.9 (0.1–15.3)
Past or never users NR NR Ref
*
Adjusted for hypertension, diabetes, smoking
Strengths: VTE, stroke and AMI diagnoses confirmed by medical records
Limitations: Formulation and dose of POPs not stated Conditions being treated not reported <10 cases using POPs
II-2, poor
Vasilakis [26], 1999 United Kingdom; Funding: WHO Nested case–control 1993–1997 Ages <50 years Cases: computer records from hospital admissions Controls (community): matched on age and general practice Exclusions [51]: history VTE, stroke, AMI, cancer, epilepsy, diabetes, hypertension, hyperlipidemia, cystic fibrosis POCs (not specified) “Current” use, not further defined Computer record VTE Computer hospital records, some validated by physician
Method Cases Controls VTE aRR* (95% CI)
POC all   7   36 2.4 (0.8–6.5)
POC for contraception   2   26 1.3 (0.3–6.8)
POC for menstrual disorders   5   10 5.3 (1.5–18.7)
No current use 13 161 Ref
*
Adjusted for BMI and smoking
Strengths: VTE diagnoses confirmed with medical records
Limitations: Formulation and dose of POCs not specified
II-2, poor
Lidegaard [17,18], 2002 Denmark; Funding: Organon, Wyeth-Ayerst, Schering AG Case–control 1994–1998 Ages 15–44 years Cases: diagnosis codes from national registry of hospital discharges Controls (community): randomly selected from national registry, matched on age Exclusions: history thrombosis, pregnant at time of diagnosis POP Current use (at time of admission for cases and time of interview for controls) Participant questionnaire VTE Ischemic stroke + TIA Discharge diagnosis codes, confirmed by physician and patient
Method Cases Controls VTE aOR* (95% CI)
POP  8  28 2.0 (0.8–5.1)
Past or never users 458 2738 Ref
*
Adjusted for age, year, BMI, education, coagulation disturbances, family VTE, previous birth, diabetes, smoking
Method Cases Controls Stroke/TIA aOR* (95% CI)
POP  4  28 1.0 (0.3–3.0)
Past or never users 397 2738 Ref
*
Adjusted for age, year, smoking, migraine, education
Strengths: Contraceptive type prompted by list of available OCs VTE and stroke diagnoses confirmed by physician and patient High response rate (approx. 90%)
Limitations: Did not account for recent pregnancy <10 VTE and stroke cases using POPs Included TIA (36% of cases), analyzed together with cerebral infarction
II-2, fair
Lidegaard [19], 2009 Denmark; Funding: Gyn Clinic, Rigshospitalet Retrospective cohort 1995–2005 Ages 15–49 years Cohort (>10 million WY): national registry Exclusions: cancer, history cardiovascular event, pregnant or postpartum POP LNG-IUD Current use (valid prescription at hospital admission) Obtained from filled prescriptions VTE Diagnosis codes (validated in previous study, 10% uncertain)
Method VTEN IR (per 10,000 WY) VTE aRR* (95% CI)
POP (LNG or NOR)  12 1.8 0.6 (0.3–1.04)
POP (DSG)    3 3.3 1.1 (0.4–3.4)
LNG–IUD  34 3.4 0.9 (0.6–1.3)
Past or never users 2168 3.0 Ref
*
Adjusted for age, calendar year, education
Strengths: Large national cohort
Limitations:VTE diagnoses not confirmed <10 VTEs among users of some POPs No information on BMI
II-2, fair
Barsoum [11], 2010 United States; Funding: NIH, US Public Health Service, Mayo Foundation Case–control 1998–2000 All ages Cases: inpatient, outpatient, emergency, nursing home, autopsy, death certificate Controls (community): from population, matched on age, medical care within 1 year of case event date, medical record number close to case’s number POC (not specified, some receiving noncontraceptive doses and formulations) Use within 3 months Obtained from medical record VTE Diagnosis confirmed by medical records and imaging
Method Cases Controls VTE aOR* (95% CI)
POC   23  7 1.2 (0.4–3.6)
Nonusers 703 823 Ref
*
Adjusted for BMI, hospitalization, nursing home, trauma/fracture, cancer, leg paresis, varicose veins, pregnancy
Strengths: VTE diagnoses confirmed with medical records
Limitations: Contraceptive types not specified Analysis may have included postmenopausal women <10 POC users among controls Did not account for history of VTE
II-2, poor
Vlieg [6], 2010 Netherlands; Funding: Netherlands Heart Association, Dutch Cancer Foundation, Netherlands Organization for Scientific Research Case–control 1999–2004 Ages 18–50 years Cases: anticoagulant clinics Controls (community): partners of patients or random-digit dialing and matched on age Exclusions: history DVT, OC users, postmenopausal, pregnant or postpartum, severe psychiatric problems, non-Dutch speaking DMPA LNG-IUD “Current use” not further defined [52] Participant questionnaire VTE Diagnosis from anticoagulation clinic
Method Cases Controls VTE aOR* (95% CI)
DMPA   20  15 3.0 (1.2–7.5)
LNG–IUD  3  26 0.3 (0.1–1.3)
Nonhormonal 421 1102 Ref
*
Adjusted for age, BMI, family history DVT, smoking
Strengths: Accounted for important confounders VTE diagnoses confirmed by clinics
Limitations: DMPA and LNG-IUD use not confirmed <10 cases using LNG-IUD
II-2, fair
Lidegaard [21], 2011 Denmark; Funding: Bayer Schering Retrospective cohort 2001–2009 Ages 15–49 years Cohort (<8 million WY): national registry Exclusions: history thrombosis, cancer, hysterectomy, oophorectomy, sterilization, pregnant or postpartum, coagulation disorder POP (NOR or DSG) LNG-IUD Use within 4 weeks Obtained from filled prescriptions VTE Discharge diagnosis codes from national registry, confirmed with prescription for anticoagulant 200 randomly selected women validated by medical records
Method VTEN IR (per 10,000 WY) VTE aRR* (95% CI)
POP (NOR)    9 2.0 0.6 (0.3–1.1)
POP (DSG)    6 2.1 0.6 (0.3–1.4)
LNG–IUD  55 3.5 0.8 (0.6–1.1)
Past or never users 1812 3.7 Ref
*
Adjusted for age, year, and education

No significant differences when stratified by whether anticoagulation was used (confirmed VTEs) or not recorded
Strengths: Large national cohort VTE diagnoses confirmed by anticoagulant prescription, subset validated by medical records
Limitations: <10 VTEs among users of each POP No information on BMI
II-2, fair
Bergendal [28], 2012 Sweden; Funding: Janssen-Cilag, Novartis, Organon, Schering, Wyeth, AFA, Center for Gender Medicine Case–control 2003–2009 Premenopausal Cases: hospitals Controls (community): randomly selected from population register, matched on age Exclusions: history thrombosis, pregnant or postpartum, current cancer DMPA Implant LNG-IUD Use within 3 months Telephone interview VTE Identified from study coordinator at hospitals, confirmed with radiology results
Method Cases Controls VTE aOR* (95% CI)
POC   54   85 0.98 (0.6–1.6)
Nonusers 389 480 Ref
*
Adjusted for age, BMI, smoking, use of hormones, bedrest/minor trauma, surgery, cast, surgery and cast, prothrombin mutation, factor V Leiden
Strengths: Contraceptive information prompted by pictures VTE diagnoses confirmed by radiology results
Limitations: Differential participation rate between cases (90%) and controls (69%) All POCs analyzed together
II-2, fair
Lidegaard [3], 2012 Denmark; Funding: Danish Heart Association Retrospective cohort 1995–2009 Ages 15–49 years Cohort (>14 million WY): national registry Exclusions: history thrombosis, cancer, hysterectomy, oophorectomy, sterilization, pregnant or postpartum, coagulation disorder POP (NOR, LNG or DSG) LNG-IUD Implant Use within 4 weeks [21] Obtained from filled prescriptions Ischemic stroke AMI Discharge diagnosis codes from national registry
Method Stroke N IR (per 100,000 WY) Stroke aRR* (95% CI)
POP (NOR)  28 32.6 1.4 (0.9–2.0)
POP (LNG)    1 11.7 0.4 (0.1–3.1)
POP (DSG)    9 30.8 1.4 (0.7–2.6)
LNG–IUD  45 24.3 0.7 (0.5–0.98)
Implant    3 12.0 0.9 (0.3–2.7)
Past or never users 2260 24.2 Ref
*
Adjusted for age, calendar year, education, HTN, heart disease, diabetes, hyperlipidemia
Method AMI N IR (per 100,000 WY AMI aRR* (95% CI)
POP (NOR)    9 10.5 0.8 (0.4–1.6)
POP (LNG)    0 0
POP (DSG)    4 13.7 1.5 (0.6–3.9)
LNG–IUD  31 16.8 1.0 (0.7–1.5)
Implant    3 12.0 2.1 (0.7–6.7)
Past or never users 1228 13.2 Ref
*
Adjusted for age, calendar year, education, HTN, heart disease, diabetes, hyperlipidemia
Strengths: Large national cohort
Limitations: Stroke and AMI diagnoses not confirmed <10 strokes and AMI among users of most POCs No information on BMI
II-2, fair
Lidegaard [20], 2012 Denmark; Funding: Gyn Clinic, Rigshospitalet Retrospective cohort 2001–2010 Ages 15–49 years Cohort (>9 million WY):National registry Exclusions: history thrombosis, cancer, hysterectomy, oophorectomy, sterilization, pregnant or postpartum, coagulation disorder LNG-IUD Implant Use within 4 weeks Obtained from filled prescriptions VTE Discharge diagnosis codes from national registry, confirmed with prescription for anticoagulant
All VTE Confirmed VTE
Method N IR (per 100,000 WY) aRR* (95% CI) N IR (per 100,000 WY VTE aRR* (95% CI)
LNG–IUD  88 3.7 0.8 (0.7–0.99)  33 1.4 0.6 (0.4–0.8)
Implant  15 5.1 2.1 (1.3–3.5)    5 1.7 1.4 (0.6–3.4)
Past or never users 2262 3.8 Ref 1209 2.1 Ref
*
Adjusted for age, calendar year, education
Confirmed by prescription for anticoagulant
Strengths: Large national cohort VTE diagnoses confirmed by anticoagulant prescription
Limitations: >10 VTEs among implant users No information on BMI
II-2, fair
Bergendal [5], 2014 (same study as Bergendal, 2012 [28]) Sweden; Funding: Janssen-Cilag, Novartis, Organon, Schering, Wyeth, AFA Insurance, Karolinska Instituet, Medical Products Agency Case–control 2003–2009 Ages 18–54 years Cases: inpatient and outpatient Controls (community): from population register, matched on age Exclusions: history thrombosis, pregnancy within 3 months, current cancer High dose: DMPA Medium dose: implants, oral DSG Low dose:Oral LNG, LYN, NET Very low dose: LNG-IUD Use within 3 months Participant questionnaire VTE Diagnosis confirmed by medical records and imaging Included only if initiated anticoagulation
Method Cases Controls VTE aOR* (95% CI)
High dose 47 23 2.2 (1.3–4.0)
Medium dose 25 35 0.9 (0.5–1.6)
Low dose 12 20 0.8 (0.4–1.9)
Very low dose 61 99 0.6 (0.4–1.0)
Nonhormonal 492 618 Ref
*
Adjusted for smoking, BMI, immobilization
Strengths: Population-based VTE diagnoses confirmed with medical records Adjusted for confounders, excluded women with recent pregnancy Response rate high (>88%) in both groups
Limitations: POC use not confirmed
II-2, good

Abbreviations: AMI, acute myocardial infarction; aOR, adjusted odds ratio; aRR, adjusted relative risk; BMI, body mass index; CI, confidence interval; DMPA, depot medroxyprogesterone acetate; DSG, desogestrel; DVT, deep venous thrombosis; GPRD, General Practices Research Database; HTN, hypertension; IR, incidence rate; IUD, intrauterine device; LNG, levonorgestrel; LYN, lynestrenol; NR, not reported; NET, norethisterone; NIH, National Institutes of Health; NOR, norethindrone; OC, oral contraceptive; POC, progestin-only contraception; POI, progestin-only injectable; POP, progestin-only pill; TIA, transient ischemic attack; VTE, venous thromboembolism; WY, women years.

Disclaimer

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the US Centers for Disease Control and Prevention.

Appendix A. Search strategy for POCs and VTE or ATE

((((((((progestin* OR progestins[MeSH] OR Progesterone[MeSH] OR progesterone OR progestogen* OR progestagen* OR “Levonorgestrel”[Mesh] OR Levonorgestrel OR “Norgestrel”[Mesh] OR norgestrel OR etonogestrel) AND contracept*) OR dmpa OR “depo medroxyprogesterone” OR “depo provera” OR “net en” OR “norethisterone enanthate” OR “norethindrone enanthate” OR (contracept* AND (inject* OR implant)) OR ((levonorgestrel OR etonogestrel) AND implant) OR implanon OR nexplanon OR jadelle OR norplant OR uniplant OR sino-implant OR (levonorgestrel-releasing two-rod implant))) OR ((levonorgestrel AND (intrauterine devices[mesh] OR iud OR iucd OR ius OR iuc OR intrauterine system OR intra-uterine system OR intrauterine device OR intra-uterine device OR intrauterine contraceptive OR intrauterine contraception)) OR mirena OR skyla))) OR (((“levonorgestrel”[Mesh] OR levonorgestrel) AND (emergency OR “morning after” OR postcoit*)) OR (“Contraception, Postcoital”[Mesh] OR “Contraceptives, Postcoital”[MeSH] OR emergency contracept* OR “morning after pill” OR postcoital contracept* OR “plan b”)))) AND ((((“venous thrombosis”[MeSH Terms] OR (“venous”[All Fields] AND “thrombosis”[All Fields]) OR “venous thrombosis”[All Fields] OR (“deep”[All Fields] AND “vein”[All Fields] AND “thrombosis”[All Fields]) OR “deep vein thrombosis”[All Fields]) OR DVT[All Fields] OR (“venous thromboembolism”[MeSH Terms] OR (“venous”[All Fields] AND “thromboembolism”[All Fields]) OR “venous thromboembolism”[All Fields]) OR ((“veins”[MeSH Terms] OR “veins”[All Fields] OR “venous”[All Fields]) AND (“thromboembolism”[MeSH Terms] OR “thromboembolism”[All Fields] OR (“thromboembolic”[All Fields] AND “event”[All Fields]) OR “thromboembolic event”[All Fields])) OR VTE[All Fields] OR PE[All Fields] OR (“pulmonary”[All Fields] AND “embolus”[All Fields]) OR “pulmonary embolus”[All Fields])) OR ((“cerebrovascular disorders”[MeSH Terms] OR (“cerebrovascular”[All Fields] AND “disorders”[All Fields]) OR “cerebrovascular disorders”[All Fields]) OR (“stroke”[MeSH Terms] OR “stroke”[All Fields]) OR (((“brain”[MeSH Terms] OR “brain”[All Fields]) OR (“cerebrum”[MeSH Terms] OR “cerebrum”[All Fields] OR “cerebral”[All Fields] OR “brain”[MeSH Terms] OR “brain”[All Fields])) AND ((“infarction”[MeSH Terms] OR “infarction”[All Fields]) OR (“ischaemia”[All Fields] OR “ischemia”[MeSH Terms] OR “ischemia”[All Fields]) OR (“embolism”[MeSH Terms] OR “embolism”[All Fields]) OR (“thrombosis”[MeSH Terms] OR “thrombosis”[All Fields]))) OR (“myocardial infarction”[MeSH Terms] OR (“myocardial”[All Fields] AND “infarction”[All Fields]) OR “myocardial infarction”[All Fields] OR (“heart”[All Fields] AND “attack”[All Fields]) OR “heart attack”[All Fields]) OR (“myocardial infarction”[MeSH Terms] OR (“myocardial”[All Fields] AND “infarction”[All Fields]) OR “myocardial infarction”[All Fields]))).

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