27 April 2025 : Clinical Research
Longitudinal Evaluation of Metabolic Benefits of Inactivated COVID-19 Vaccination in Diabetic Patients in Tianjin, China
Jingyi Wang12BCDEF, Zhida Wang12ABG, Bei Sun12FG, Liming Chen
12AG*
DOI: 10.12659/MSM.947450
Med Sci Monit 2025; 31:e947450
Table 2 Summary of linear mixed-effects models.
| Age | Sex Female | VACTYPEB | VACTYPEC | Times | VACTYPEB: Times | VACTYPEC: Times | |
|---|---|---|---|---|---|---|---|
| FPG | −0.0190 (0.0052)*** | 0.0679 (0.1248) | −0.0427 (0.2167) | 0.0650 (0.1821) | 0.0695 (0.0252)** | −0.1178 (0.0336)*** | −0.1231 (0.0284)*** |
| HbA1c | −0.0109 (0.0034)** | 0.2580 (0.0817)** | −0.1607 (0.1388) | −0.1244 (0.1167) | 0.0377 (0.0143)** | −0.0397 (0.0191)* | −0.0490 (0.0162)** |
| WBC | −0.0166 (0.0047)*** | −0.2500 (0.1096)* | 0.0002 (0.1733) | −0.1557 (0.1452) | 0.0090 (0.0083) | 0.0003 (0.0112) | −0.0070 (0.0100) |
| PLT | −1.4058 (0.2020)*** | 35.0428 (4.7659)*** | −2.3286 (7.7450) | −1.4532 (6.5169) | 0.2686 (0.5319) | 0.5526 (0.7099) | −0.3113 (0.6002) |
| Hb | −0.1608 (0.0931) | −20.9501 (2.1935)*** | −0.5876 (4.9574) | 3.0341 (4.1581) | −0.7159 (0.9600) | 0.2303 (1.2837) | −0.1458 (1.0840) |
| NEU | −0.0077 (0.0039) | −0.1043 (0.0923) | 0.0335 (0.1571) | 0.0308 (0.1321) | 0.0071 (0.0164) | 0.0344 (0.0219) | −0.0033 (0.0185) |
| LYM | −0.0092 (0.0021)*** | 0.1133 (0.0496)* | −0.0949 (0.0818) | −0.0418 (0.0688) | −0.0006 (0.0068) | 0.0074 (0.0091) | 0.0049 (0.0077) |
| EOS | 0.0015 (0.0258)*** | −0.0639 (0.0095)*** | −0.0164 (0.0158) | −0.0138 (0.0133) | −0.0010 (0.0014) | 0.0025 (0.0019) | 0.0019 (0.0016) |
| Cr | 0.1966 (0.0528)*** | −18.5485 (1.2468)*** | 0.8606 (2.0605) | 1.6310 (1.7333) | 0.3510 (0.1732)* | −0.6036 (0.2311)** | −0.4811 (0.1954)* |
| EGFR | −0.8764 (0.0426)*** | 2.9390 (1.0053)** | −0.7825 (1.6565) | −1.0094 (1.3935) | −0.2672 (0.1352)* | 0.3035 (0.1804) | 0.1698 (0.1525) |
| UA | −0.6555 (0.2542)* | −51.9629 (5.9971)*** | −2.5887 (10.4548) | −6.4824 (8.7874) | 0.8339 (1.2348) | 0.3911 (1.6487) | 0.6123 (1.3935) |
| AST | −0.0625 (0.0368) | −0.0168 (0.8677) | −1.4219 (1.5613) | −0.0263 (1.3118) | 0.0147 (0.2074) | 0.0943 (0.2770) | 0.0092 (0.2341) |
| ALT | −0.3650 (0.0582)*** | −2.9070 (1.3732)* | −0.7221 (2.4788) | −0.3485 (2.0825) | −0.0573 (0.3327) | 0.0325 (0.4443) | −0.0375 (0.3755) |
| GGT | −0.4946 (0.0888)*** | −7.7305 (2.0956)*** | −0.3487 (3.5466) | −0.1272 (2.9823) | −0.1445 (0.3587) | −0.0893 (0.4788) | −0.0203 (0.4048) |
| ALP | −0.1579 (0.0820) | 6.2544 (1.9349)** | −1.5192 (3.2521) | −1.5443 (2.7349) | −0.1780 (0.3141) | 0.0205 (0.4194) | 0.2318 (0.3545) |
| TBIL | 0.0050 (0.0216) | −2.9946 (0.5097)*** | −0.7726 (0.8489) | −1.4614 (0.7140)* | 0.2136 (0.0765)** | 0.1558 (0.1021) | 0.2716 (0.0863)** |
| DBIL | 0.0073 (0.0069) | −1.1452 (0.1627)*** | −0.1732 (0.2813) | −0.4291 (0.2365) | 0.0338 (0.0320) | 0.0104 (0.0427) | 0.0800 (0.0361)* |
| IBIL | −0.0022 (0.0156) | −1.8310 (0.3678)*** | −0.6832 (0.6172) | −1.1142 (0.5191)* | 0.1665 (0.0589)** | 0.1602 (0.0787)* | 0.2047 (0.0665)*** |
| TC | −0.0092 (0.0034)** | 0.4909 (0.0791)*** | −0.1805 (0.1399) | −0.0895 (0.1176) | −0.0080 (0.0175) | 0.0129 (0.0234) | 0.0156 (0.0197) |
| TG | −0.0265 (0.0047)*** | 0.0993 (0.1099) | −0.3939 (0.2077) | −0.2841 (0.1744) | −0.0443 (0.0314) | 0.0404 (0.0420) | 0.0022 (0.0355) |
| HDL-C | 0.0030 (0.0009)*** | 0.1673 (0.0204)*** | −0.0520 (0.0341) | 0.0209 (0.0287) | 0.0020 (0.0031) | 0.0009 (0.0042) | 0.0057 (0.0036) |
| LDL-C | −0.0074 (0.0025)** | 0.2497 (0.0597)*** | −0.0288 (0.1065) | −0.0212 (0.0895) | −0.0125 (0.0138) | 0.0001 (0.0185) | 0.0050 (0.0156) |
| The models were fitted using the formula: ΔY~Age+Sex+VACTYPETimes+(1|ID). Statistical significance is denoted as follows: *** p ** p * p | |||||||