Review Article

Risk Factors Associated with the Onset of Relapsing-Remitting and Primary Progressive Multiple Sclerosis: A Systematic Review

Table 1

Main characteristics of studies examining risk factors for relapsing-onset or primary progressive multiple sclerosis.

Systematic Review of Risk Factors for relapsing and progressive onset MS
Author, Year, LocationStudy designCases/controls Disease
course
(number of subjects)
Source of casesSource of controlsSex of cases (M/F)Main risk factorsIncident or prevalent cases (disease duration at time of main exposure Main findings/statistics Quality assessment
Relapsing
onset
Progressive
onset
(i.e., risk factor) for prevalent cases)Relapsing-onset
(RRMS or SPM)
Progressive-onset (PPMS or PRMS)

Farrell et al. [17], 2009, United KingdomMixed-original cohort study with healthy controls included later100/20CIS (50
RRMS (25)
PPMS (25) University hospitalSource not stated; healthy control42/58Epstein-Barr virus (EBV)
Varicella Zoster virus (VZV)
Prevalent (longitudinal study with repeated measures; disease duration at point of exposure measurement not clear)For RR versus PPMS: higher median EBNA-1 IgG (670 versus 267 U/mL, < 0.001) and lower EBV VCA titer levels (297 versus 530 U/mL, < 0.05) 17

Ramroodi et al. [18], 2013, IranCase-control78/123RRMS (46)
SPMS (11)
PPMS (21)University hospitalMedical laboratory; healthy blood donors22/56Epstein-Barr virus (EBV)Prevalent (disease duration not reported)PPMS had lower seroprevalence of EBV IgG (81.0%) than RRMS (93.5%) and SPMS (100%) ( < 0.001 for both).
SPMS (36.4%) and RRMS (15.2%) showed more anti-EBV-IgM reactivation than PPMS (0%)
15

Munger et al. [19], 2011, USANested case-controlEBNA-1
122 RRMS/
234 controls
EBNAc
164 RRMS/
315 controls
RRMS (167)Progressive MS (3
Other (23
US Army and Navy Physical Disability Agency and the Department of Defense Serum Repository Department of Defense Serum Repository148/74Epstein-Barr virus (EBV)IncidentRisk of developing RRMS increased with a 4-fold increase in average anti-EBNA-1 IgG titers (RR: 2.3, 1.7–3.2) and anti-EBNA complex titers (RR: 3.3, 2.3–4.7)NR18

Villoslada et al. [20], 2003, SpainCase-control151/50CIS (53
RRMS (49)
SPMS (49)
None Clinical trialsSource not stated; volunteers and
healthy donors
33/65Epstein-Barr virus (EBV)
Human herpesvirus-6 (HHV-6)
Chlamydia pneumoniae (CP)
Prevalent
(mean disease duration = 1.8 years RRMS; 15.9 years SPMS)
RRMS patients had higher levels of anti-HHV-6 IgM antibody titers than healthy controls (15.02 versus 10.19, = 0.002).
No statistically significant difference between RRMS, SPMS, and healthy controls for anti-EBV EBNA IgG or anti-CP antibodies
NA18

Yea et al. [21], 2013, CanadaCase-control22/77 Pediatric RRMS (22)None Clinic-based Community
advertisement; healthy controls
6/16Epstein-barr virus (EBV)Prevalent
(mean disease duration = 2.5 years)
Higher proportion of RRMS patients were seropositive for remote EBV infection (19/22) compared to healthy age and sex-matched controls (35/77, = 0.008)NA17

Ahram et al. [22], 2009, JordanCase-
control
36/37RRMS (30)
(only 24 included in analysis)
SPMS (5)
PPMS (1)Clinic-basedClinic-based; healthy controls (34) and other neurological disease (3)11/25Human herpesvirus-6 (HHV-6)Prevalent (disease duration not reported)24% (6/24) of RRMS patients, 40% (2/5) of SPMS patients, and 24.2% (8/33) of controls were HHV-6 positive. No statistically significant difference in the presence of HHV-6 viral DNA between any of the groups ( > 0.05) Insufficient sample size ( = 1) 14

Mayne et al. [23], 1998, CanadaCase-control40/24RRMS (32)
(only 26 included in analysis)
SPMS (12)
PPMS (2)Multicentre clinic-basedSource not stated; healthy controls and patients with other neurological illness16/30Human herpesvirus-6 (HHV-6)Prevalent (disease duration not reported)No association between HHV-6 infection and RRMS; HHV-6 DNA detected in (5/24) 20.8% of controls and (6/26) 23% of RRMS patients > 0.05) Insufficient sample size ( = 2) 12

Soldan et al. [24], 1997, USACase-control36/66
(controls: 14 healthy controls, 31 OND, and 21 OID)
RRMS (22)PPMS (14)Clinic-based Clinic-based; healthy controls and OND or OIDNRHuman herpesvirus-6 (HHV-6)Prevalent (disease duration not reported)Increased IgM response to early antigen of HHV-6 in RRMS compared to healthy controls ( < 0.001). No differences in IgG response among any groups testedNo differences in IgG or IgM response in PPMS versus controls ( = 0.06) or RRMS ( > 0.05)13

Rodríguez-Violante et al. [25], 2009, MexicoCase-control126/157RRMS (65)
SPMS (38)
PPMS (23) Clinic-basedSource not stated; healthy controls and patients with OND40/86Varicella virus (VZV)Prevalent (disease duration not reported)Previous VZV infection significantly associated with RRMS (OR: 3.89; 2.05–7.36) and SPMS (OR: 2.98; 1.4–6.3)Association not found in PPMS (OR: 1.26; 0.52–3.03)13

Mancuso et al. [26], 2013, ItalyCase-control207/93RRMS (104)
SPMS (48
Benign (24
PPMS (31)UnclearSource not stated; healthy controls66/141Torque teno virusPrevalent (disease duration not reported)Lower TTV viremia in RRMS compared to healthy controls (4.6 versus 5.4 copies/mL, < 0.0001) Higher TTV viremia in PPMS compared to RRMS (5.8 versus 4.6 copies/mL, = 0.0008)14

Munger et al., [27] 2003, USANested case-control141/282RRMS ()
SPMS or PPMS (
Unknown (19
SPMS or PPMS (32
Unknown (19
USA’s Nurse’s Health StudyUSA’s Nurse’s Health Study; healthy controls 0/141Chlamydia pneumoniae (CP)IncidentChlamydia pneumoniae antibody seropositivity not associated with risk of RRMS (OR: 1.7; 0.9–3.2)NR (SPMS and PPMS were analyzed together)20

Munger et al. [28], 2004, USANested case-control129/258Army
RRMS ()
SPMS (
Unknown (
KPMCP
RRMS ()
SPMS OR PPMS (
Unknown (13
Army
PPMS (15)
Unknown (18
KPMCP
SPMS OR PPMS (26
Unknown (13
US Army Physical Disability Agency Database and the Kaiser Permanente Northern California Health Plan (KPMCP) US Army Physical Disability Agency Database and the Kaiser Permanente Northern California Health Plan (KPMCP); healthy controls60/69Chlamydia pneumoniae (CP)IncidentCP seropositivity did not predict risk of RRMS (OR: 0.8; 0.4–1.7). Fourfold difference in titer levels of anti-CP IgG antibodies did not increase risk for RR course at onset (OR: 0.9; 0.6–1.3)CP seropositivity did not predict risk of PPMS (OR: 1.0; 0.3–3.7). Fourfold difference in titer levels of anti-CP IgG antibodies did not increase risk for PPMS course at onset (OR: 1.1; 0.6–2.0)20

Krametter et al. [29], 2001, AustriaCase-control94/63RRMS (66)
SPMS (28)
None Source not statedSource not stated: patients with OND37/57Chlamydia pneumoniae (CP)Prevalent (mean disease duration = 4.7 years RRMS; 8.7 years SPMS)Seropositivity to CP was not significantly different between the RRMS/SPMS patients and controls. Seroprevalence of:
IgG (RRMS 59.1%, SPMS 46.4%, OIND 64.1%, ONIND 75.0%),
IgM (RRMS 10.6%, SPMS 3.6%, OIND 5.1%, ONIND 4.2%),
IgA (RRMS 54.5%, SPMS 57.1%, OIND 61.5%, ONIND 70.8%)
NA15

Alonso et al. [30], 2006,United KingdomNested case-control163/1523RR onset (145)PPMS (18) General Practice Research DatabaseGeneral Practice Research DatabaseNRAntibiotic useIncidentRisk of RRMS was reduced with more than 2 weeks of penicillin use compared to no use in 3 years prior to onset (OR: 0.4, 0.2–0.8) No altered risk of developing PPMS with more than 2 weeks of penicillin use compared to no use in 3 years prior to onset (OR: 1.2, 0.3–4.9) 17

Alonso et al. [31], 2005, United KingdomNested case-control106/1001RRMS (87)
SPMS (10)
PPMS (9) General Practice Research DatabaseGeneral Practice Research Database0/106Oral contraception (OC) useIncidentRRMS risk was modestly reduced in OC users compared to nonusers (OR: 0.6; 03–0.9)PPMS risk was not influenced by OC use when comparing any OC users to nonusers (OR: 1.2; 0.2–6.7)18

Hernán et al. [32], 2005, USA Nested case-control201/1913RRMS (159)
SPMS (22)
PPMS (20) General Practice Research DatabaseGeneral Practice Research Database; healthy controls60/141Cigarette smokingIncidentNo altered risk of RRMS in ever smokers = 81 versus never smokers = 98 (OR: 1.3; 0.9–1.8) 179/181 relapsing-onset MS included in this analysisNo altered risk of PPMS in ever smokers versus never smokers (OR: 1.3; 0.5–3.118

Manouchehrinia et al. [33], 2013, United KingdomCohort895RRMS (443)
SPMS (350)
PPMS (102)Clinic and population-based; estimated to capture >98% local geographical region NA270/625Cigarette smokingPrevalent (mean disease duration = 17 years)Smoking status (ever versus never) was not associated with risk for onset of PPMS compared to RRMS (OR: 0.82; 0.52–1.29)18

Sundström and Nyström [34],
2008, Sweden
Cohort122RRMS 96PPMS (26)Epidemiological surveyNA44/78Cigarette smokingPrevalent (median disease duration = 6 years)Of the ever smokers starting before the age of 15 ( = 29); 11 (38%) had a progressive onset versus 6 of the 46 never smokers (13%) ( = 0.012). note: only a subgroup were included in the analysis: 17 progressive onsets and 58 relapsing onsets. 14

Runmarker and Andersen [35],
1995, Sweden
Cohort153 (cases)108 RRMS/SPMS45 PPMSHospital outpatientsNA0/153PregnancyIncidentThe risk for RRMS was lower in parous compared to nulliparous women (74 actual nulliparous women versus 50.9 expected, = 0.000009)NR19

Sadovnick et al. [36], 2007, CanadaCase-control14,799 MS cases
13,783 unaffected siblings
13675451 population controls
RRMS/SPMS (11,465)PPMS (3334)Canadian Collaborative Project on Genetic Susceptibility to MS Unaffected siblings and Canadian population controlsNot reportedMonth of birthPrevalent (disease duration not reported)Birth ratio (May/November) was higher for RRMS compared to controls (1.43 versus 1.18, = 0.000032) Birth ratio (May/November) was not significantly different for PPMS compared to controls (1.15 versus 1.18, > 0.05) 18

CIS = clinically isolated syndrome.
NA = not applicable.
NR = not reported.
OID = other inflammatory disease.
OND = other neurological disease.
PPMS = primary progressive multiple sclerosis.
RRMS = relapsing-remitting multiple sclerosis.
SPMS = secondary progressive multiple sclerosis.
These individuals did not contribute to the main findings/statistics reported in the final columns.
CIS patients not included, unless otherwise stated.
22 PPMS patients were included in the analysis (Table  2 from original paper) despite =20 PPMS patients reportedly included in the overall study.
Quality assessment was based on the Modified Downs and Black criteria for observational studies [37]. The assigned score could range from 0 to 20; a higher score implies better quality.