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Table 4 Prevalence of sex across albumin quotient (QAlb) quartiles

From: Increased age and male sex are independently associated with higher frequency of blood–cerebrospinal fluid barrier dysfunction using the albumin quotient

 Q1 (QAlb < 4.06)Q2 (4.06 < QAlb < 5.57)Q3 (5.58 < QAlb < 8.97)Q4 (QAlb > 8.98)p
All (n = 1209)
 Female: n (%)244 (81.3)194 (63.6)158 (52.3)122 (40.4)<0.0001
 Male: n (%)56 (18.7)11 (36.4)144 (47.7)180 (59.6)
MS (n = 297)
 Female: n (%)101 (82.8)58 (67.4)35 (53.8)10 (41.7)<0.0001
 Male: n (%)21 (17.2)28 (32.6)30 (46.2)14 (58.3)
OIND (n = 281)
 Female: n (%)23 (67.7)25 (51.0)31 (47.7)53 (39.8)0.0309
 Male: n (%)11 (32.4)24 (49.0)34 (52.3)80 (60.2)
NIND (n = 297)
 Female: n (%)43 (71.7)47 (50.0)37 (44.6)19 (31.7)0.0002
 Male: n (%)17 (28.3)47 (50.0)46 (55.4)41 (68.3)
UNK (n = 334)
 Female: n (%)77 (91.7)64 (84.2)55 (61.8)40 (47.1)<0.0001
 Male: n (%)7 (8.3)12 (15.8)34 (38.2)45 (52.9)
Age 16–40 (n = 465)
 Female: n (%)139 (84.2)92(64.3)58 (57.4)14 (25.0)<0.0001
 Male: n (%)26 (15.8)51 (35.7)43 (42.6)42 (75.0)
Age 41–60 (n = 435)
 Female: n (%)83 (78.3)63 (64.9)57 (51.4)53 (43.8)<0.0001
 Male: n (%)23 (21.7)34 (35.1)54 (48.6)68 (56.2)
Age > 60 (n = 309)
 Female: n (%)22 (75.9)39 (60.0)43 (47.8)55 (44.0)0.0071
 Male: n (%)7 (24.1)26 (40.0)47 (52.2)70 (56.0)
  1. Chi square test was used for all comparisons
  2. ALL patient groups analysed as a whole, MS multiple sclerosis, NIND non-inflammatory neurological diseases, OIND other inflammatory neurological diseases, UNK unknown-neurological diagnosis