| Literature DB >> 35938140 |
Bala Munipalli1,2, Shelby Strothers3, Fernando Rivera1, Pedro Malavet1, Ghada Mitri1, Abd Moain Abu Dabrh1,2, Nancy L Dawson4.
Abstract
Objective: To assess the association between vitamin B12 (B12) deficiency and the prevalence of fatigue and prespecified neurologic symptoms in patients with fibromyalgia. Patients andEntities:
Keywords: B12, vitamin B12; CI, confidence interval; OR, odds ratio; TSH, thyroid-stimulating hormone
Year: 2022 PMID: 35938140 PMCID: PMC9352804 DOI: 10.1016/j.mayocpiqo.2022.06.003
Source DB: PubMed Journal: Mayo Clin Proc Innov Qual Outcomes ISSN: 2542-4548
FigureReceiver operation characteristics curve for the prediction of fatigue using vitamin B12. AUC = area under the curve; CI = confidence interval; ROC = receiver operation characteristics.
Patient Baseline Characteristics by Vitamin B12a
| Total (N=2142) | B12<400 ng/L (N=908) | B12≥400 ng/L (N=1234) | B12<350 ng/L (N=724) | B12≥350 ng/L (N=1418) | |||
|---|---|---|---|---|---|---|---|
| Sex | .46 | .65 | |||||
| Female | 1955 (91.3%) | 824 (90.7%) | 1131 (91.7%) | 658 (90.9%) | 1297 (91.5%) | ||
| Male | 187 (8.7%) | 84 (9.3%) | 103 (8.3%) | 66 (9.1%) | 121 (8.5%) | ||
| VD (ng/mL) | <.001 | <.001 | |||||
| <30 | 547 (25.5%) | 289 (31.8%) | 258 (20.9%) | 232 (32.0%) | 315 (22.2%) | ||
| ≥30 | 1595 (74.5%) | 619 (68.2%) | 976 (79.1%) | 492 (68.0%) | 1103 (77.8%) | ||
| TSH (mIU/mL) | .5 | .67 | |||||
| N-Miss | 865 | 399 | 466 | 328 | 537 | ||
| ≤4.3 | 1184 (92.7%) | 475 (93.3%) | 709 (92.3%) | 369 (93.2%) | 815 (92.5%) | ||
| >4.3 | 93 (7.3%) | 34 (6.7%) | 59 (7.7%) | 27 (6.8%) | 66 (7.5%) |
B12 = vitamin B12; TSH = thyroid-stimulating hormone; VD = vitamin D.
Patient Symptoms by Vitamin B12a
| Total (N=2142) | B12<400 ng/L (N=908) | B12≥400 ng/L (N=1234) | B12<350 ng/L (N=724) | B12≥350 ng/L (N=1418) | |||
|---|---|---|---|---|---|---|---|
| Fatigue | .01 | .017 | |||||
| N | 1777 (83.0%) | 731 (80.5%) | 1046 (84.8%) | 581 (80.2%) | 1196 (84.3%) | ||
| Y | 365 (17.0%) | 177 (19.5%) | 188 (15.2%) | 143 (19.8%) | 222 (15.7%) | ||
| Confusion | .48 | .71 | |||||
| N | 2138 (99.8%) | 907 (99.9%) | 1231 (99.8%) | 723 (99.9%) | 1415 (99.8%) | ||
| Y | 4 (0.2%) | 1 (0.1%) | 3 (0.2%) | 1 (0.1%) | 3 (0.2%) | ||
| Memory loss | .058 | .09 | |||||
| N | 2041 (95.3%) | 856 (94.3%) | 1185 (96.0%) | 682 (94.2%) | 1359 (95.8%) | ||
| Y | 101 (4.7%) | 52 (5.7%) | 49 (4.0%) | 42 (5.8%) | 59 (4.2%) | ||
| Brain fog | .19 | .34 | |||||
| N | 2037 (95.1%) | 857 (94.4%) | 1180 (95.6%) | 684 (94.5%) | 1353 (95.4%) | ||
| Y | 105 (4.9%) | 51 (5.6%) | 54 (4.4%) | 40 (5.5%) | 65 (4.6%) | ||
| Cognitive impairment | .18 | .08 | |||||
| N | 2081 (97.2%) | 877 (96.6%) | 1204 (97.6%) | 697 (96.3%) | 1384 (97.6%) | ||
| Y | 61 (2.8%) | 31 (3.4%) | 30 (2.4%) | 27 (3.7%) | 34 (2.4%) | ||
| Paresthesia | .44 | .21 | |||||
| N | 2029 (94.7%) | 864 (95.2%) | 1165 (94.4%) | 692 (95.6%) | 1337 (94.3%) | ||
| Y | 113 (5.3%) | 44 (4.8%) | 69 (5.6%) | 32 (4.4%) | 81 (5.7%) | ||
| Tingling | .26 | .34 | |||||
| N | 2103 (98.2%) | 888 (97.8%) | 1215 (98.5%) | 708 (97.8%) | 1395 (98.4%) | ||
| Y | 39 (1.8%) | 20 (2.2%) | 19 (1.5%) | 16 (2.2%) | 23 (1.6%) | ||
| Numbness | .4 | .53 | |||||
| N | 2061 (96.2%) | 870 (95.8%) | 1191 (96.5%) | 694 (95.9%) | 1367 (96.4%) | ||
| Y | 81 (3.8%) | 38 (4.2%) | 43 (3.5%) | 30 (4.1%) | 51 (3.6%) | ||
| Neuropathy | .57 | .24 | |||||
| N | 2040 (95.2%) | 862 (94.9%) | 1178 (95.5%) | 684 (94.5%) | 1356 (95.6%) | ||
| Y | 102 (4.8%) | 46 (5.1%) | 56 (4.5%) | 40 (5.5%) | 62 (4.4%) |
B12 = vitamin B12; N = no; Y = yes.
Multivariable Logistic Regression Model Predicting Fatigue Using Vitamin B12a
| Term | OR (95 CI %) | |
|---|---|---|
| Model 1 | ||
| B12<400 ng/L | 1.39 (1.11-1.75) | .004 |
| VD≥30 ng/mL | 1.38 (1.06- 1.83) | .02 |
| Model 2 | ||
| B12<350 ng/L | 1.37 (1.08-1.73) | .009 |
| VD≥30 ng/mL | 1.37 (1.05-1.81) | .024 |
B12 = vitamin B12; CI = confidence interval; OR = odds ratio; VD = vitamin D.
Patient Symptoms by Vitamin D Levels (pg/L)a
| <30 ng/mL (N=547) | ≥30 ng/mL (N=1595) | Total (N=2142) | ||
|---|---|---|---|---|
| Fatigue | .045 | |||
| N | 469 (85.7%) | 1308 (82.0%) | 1777 (83.0%) | |
| Y | 78 (14.3%) | 287 (18.0%) | 365 (17.0%) | |
| Confusion | .24 | |||
| N | 547 (100.0%) | 1591 (99.7%) | 2138 (99.8%) | |
| Y | 0 (0.0%) | 4 (0.3%) | 4 (0.2%) | |
| Memory loss | .96 | |||
| N | 521 (95.2%) | 1520 (95.3%) | 2041 (95.3%) | |
| Y | 26 (4.8%) | 75 (4.7%) | 101 (4.7%) | |
| Brain fog | .68 | |||
| N | 522 (95.4%) | 1515 (95.0%) | 2037 (95.1%) | |
| Y | 25 (4.6%) | 80 (5.0%) | 105 (4.9%) | |
| Cognitive impairment | .47 | |||
| N | 529 (96.7%) | 1552 (97.3%) | 2081 (97.2%) | |
| Y | 18 (3.3%) | 43 (2.7%) | 61 (2.8%) | |
| Paresthesia | .029 | |||
| N | 528 (96.5%) | 1501 (94.1%) | 2029 (94.7%) | |
| Y | 19 (3.5%) | 94 (5.9%) | 113 (5.3%) | |
| Tingling | .066 | |||
| N | 542 (99.1%) | 1561 (97.9%) | 2103 (98.2%) | |
| Y | 5 (0.9%) | 34 (2.1%) | 39 (1.8%) | |
| Numbness | .22 | |||
| N | 531 (97.1%) | 1530 (95.9%) | 2061 (96.2%) | |
| Y | 16 (2.9%) | 65 (4.1%) | 81 (3.8%) | |
| Neuropathy | .63 | |||
| N | 523 (95.6%) | 1517 (95.1%) | 2040 (95.2%) | |
| Y | 24 (4.4%) | 78 (4.9%) | 102 (4.8%) |
N= no; Y = yes.
Univariable Logistic Regression Model Predicting Paresthesia Using Vitamin D Levela
| Term | OR (95% CI) | |
|---|---|---|
| VD≥30 ng/mL | 1.74 (1.08-2.96) | .031 |
CI = confidence interval; OR = odds ratio; VD = vitamin D.