Research Article
Impact of Diabetic Ketoacidosis on Thyroid Function in Patients with Diabetes Mellitus
Table 2
Comparison of thyroid function before and after treatment in patients with diabetes and DKA.
| Author | Year | Country | DKA | After treatment | Mean | SD | n | Mean | SD | n |
| T4 | Daoxiong et al. [10] | 1999 | China | 79.38 | 19.13 | 65 | 78.32 | 16.5 | 65 | Glinoer et al. [11] | 1980 | Belgium | 6.2 | 0.6 | 17 | 9.7 | 0.7 | 17 | Wang [12] | 1999 | China | 110.26 | 45.89 | 62 | 118 | 48.57 | 62 | Piao and Li [13] | 1999 | China | 71.4 | 12.6 | 8 | 70.9 | 12.3 | 8 | Lin et al. [14] | 2003 | China | 4.39 | 3.03 | 76 | 7.72 | 2.29 | 76 | Mirboluk et al. [15] | 2017 | Iran | 3.18 | 1.4 | 16 | 5.17 | 2.4 | 16 | Naeije et al. [16] | 1978 | Germany | 5.7 | 3.05 | 19 | 8.9 | 2.18 | 19 | Rashidi et al. [17] | 2017 | Iran | 7.6 | 2.53 | 20 | 8.41 | 2.51 | 20 | Huang and Su [18] | 2016 | China | 96.41 | 5.12 | 63 | 110.34 | 8.32 | 63 | Fan [19] | 2014 | China | 95.83 | 7.54 | 81 | 102.54 | 8.04 | 81 | Wang and Du [20] | 2013 | China | 96.3 | 23.1 | 69 | 109 | 37.9 | 69 | Zhang [21] | 2014 | China | 95.8 | 23.2 | 74 | 110.3 | 38.6 | 74 | Ding and Ji [22] | 2011 | China | 96.29 | 20.1 | 30 | 102.3 | 20.55 | 30 | Wang et al. [23] | 2018 | China | 65.68 | 20.32 | 40 | 90.33 | 20.95 | 40 |
| T3 | Daoxiong et al. [10] | 1999 | China | 1 | 0.24 | 65 | 1.16 | 0.21 | 65 | Wang [12] | 1999 | China | 1.26 | 0.46 | 62 | 2.29 | 0.59 | 62 | Piao and Li [13] | 1999 | China | 51.43 | 3.51 | 8 | 82.37 | 2.58 | 8 | Lin et al. [14] | 2003 | China | 59.36 | 36.11 | 76 | 140.63 | 48.24 | 76 | Mirboluk et al. [15] | 2017 | Iran | 63.2 | 28.2 | 16 | 78.5 | 26.2 | 16 | Naeije et al. [16] | 1978 | Germany | 37 | 6 | 19 | 105 | 9 | 19 | Rashidi et al. [17] | 2017 | Iran | 86 | 25.7 | 20 | 161.25 | 38 | 20 | Huang and Su [18] | 2016 | China | 1.34 | 0.25 | 63 | 1.65 | 0.31 | 63 | Fan [19] | 2014 | China | 1.38 | 0.12 | 81 | 1.45 | 0.21 | 81 | Wang and Du [20] | 2013 | China | 1.38 | 0.23 | 69 | 1.52 | 0.39 | 69 | Zhang [21] | 2014 | China | 1.39 | 0.24 | 74 | 1.53 | 0.41 | 74 | Ding and Ji [22] | 2011 | China | 0.75 | 0.2 | 30 | 1.68 | 0.33 | 30 | Wang et al. [23] | 2018 | China | 0.84 | 0.3 | 40 | 1.55 | 0.33 | 40 |
| FT4 | Daoxiong et al. [10] | 1999 | China | 14.21 | 2.8 | 65 | 13.8 | 2.5 | 65 | Glinoer et al. [11] | 1980 | Belgium | 1.4 | 0.1 | 17 | 1.7 | 0.1 | 17 | Hu et al. [24] | 2015 | China | 11.38 | 3.58 | 40 | 15.57 | 2.92 | 40 | Jiao et al. [25] | 2016 | China | 11.61 | 3.53 | 120 | 14.23 | 3.01 | 120 | Lin et al. [14] | 2003 | China | 0.59 | 0.36 | 76 | 1.29 | 0.32 | 76 | Rashidi et al. [17] | 2017 | Iran | 1.07 | 0.43 | 20 | 1.58 | 0.62 | 20 | Feng [26] | 2014 | China | 11.62 | 3.52 | 60 | 14.24 | 3.03 | 60 | Huang and Su [18] | 2016 | China | 13.21 | 0.24 | 63 | 15.28 | 0.65 | 63 | Fan [19] | 2014 | China | 13.44 | 0.95 | 81 | 14.02 | 1.21 | 81 | Wang and Du [20] | 2013 | China | 13 | 2.3 | 69 | 14.2 | 1 | 69 | Zhang [21] | 2014 | China | 13.2 | 2.4 | 74 | 14.6 | 1.1 | 74 | Ding and Ji [22] | 2011 | China | 13.32 | 2.52 | 30 | 13.92 | 3.99 | 30 | Wang et al. [23] | 2018 | China | 11.91 | 2.85 | 40 | 14.26 | 2.47 | 40 |
| FT3 | Daoxiong et al. [10] | 1999 | China | 2.48 | 0.9 | 65 | 3.38 | 0.98 | 65 | Hu et al. [24] | 2015 | China | 2.63 | 0.58 | 40 | 4.77 | 1.15 | 40 | Jiao et al. [25] | 2016 | China | 2.85 | 1.22 | 120 | 3.98 | 1.02 | 120 | Rashidi et al. [17] | 2017 | Iran | 147 | 0.4 | 20 | 3.8 | 0.86 | 20 | Feng [26] | 2014 | China | 2.87 | 1.23 | 60 | 3.96 | 1.03 | 60 | Fan [19] | 2014 | China | 3.54 | 0.23 | 81 | 3.6 | 0.34 | 81 | Wang and Du [20] | 2013 | China | 3.54 | 0.53 | 69 | 3.69 | 0.51 | 69 | Zhang [21] | 2014 | China | 3.55 | 0.54 | 74 | 3.65 | 0.48 | 74 | Ding and Ji [22] | 2011 | China | 2.21 | 0.41 | 30 | 4.08 | 0.55 | 30 | Wang et al. [23] | 2018 | China | 2.71 | 0.83 | 40 | 4.48 | 0.67 | 40 |
| TSH | Daoxiong et al. [10] | 1999 | China | 1.95 | 0.85 | 65 | 1.74 | 0.87 | 65 | Glinoer et al. [11] | 1980 | Belgium | 29 | 61 | 17 | 74 | 82 | 17 | Hu et al. [24] | 2015 | China | 1.77 | 1.19 | 40 | 2.17 | 0.91 | 40 | Jiao et al. [25] | 2016 | China | 1.8 | 0.76 | 120 | 2.33 | 0.87 | 120 | Wang [12] | 1999 | China | 2.94 | 2.07 | 62 | 3.21 | 2.35 | 62 | Lin et al. [14] | 2003 | China | 1.37 | 1.46 | 76 | 2.03 | 1.29 | 76 | Mirboluk et al. [15] | 2017 | Iran | 1.85 | 1.5 | 16 | 1.79 | 1.3 | 16 | Naeije et al. [16] | 1978 | Germany | 1.9 | 1.3 | 19 | 2.6 | 1.3 | 19 | Feng [26] | 2014 | China | 1.82 | 0.75 | 60 | 2.32 | 0.86 | 60 | Huang and Su [18] | 2016 | China | 4.48 | 1.24 | 63 | 4.09 | 1.03 | 63 | Fan [19] | 2014 | China | 4.08 | 0.28 | 81 | 3.89 | 0.43 | 81 | Wang and Du [20] | 2013 | China | 4.47 | 1.59 | 69 | 4.12 | 1.47 | 69 | Zhang [21] | 2014 | China | 4.49 | 1.61 | 74 | 4.24 | 1.51 | 74 | Ding and Ji [22] | 2011 | China | 1.33 | 0.76 | 30 | 1.56 | 0.77 | 30 | Wang et al. [23] | 2018 | China | 1.75 | 1.28 | 40 | 2.63 | 1.18 | 40 |
| T3RU | Glinoer et al. [11] | 1980 | Belgium | 31.1 | 4.5 | 17 | 29.4 | 5.8 | 17 | Lin et al. [14] | 2003 | China | 33.33 | 4.52 | 76 | 32.07 | 4.31 | 76 | Mirboluk et al. [15] | 2017 | Iran | 32.4 | 1.8 | 16 | 32.1 | 1.5 | 16 | Naeije et al. [16] | 1978 | Germany | 31.5 | 4.4 | 19 | 30.8 | 6.5 | 19 | Rashidi et al. [17] | 2017 | Iran | 1.7 | 0.46 | 20 | 4.05 | 0.77 | 20 |
| rT3 | Ding and Ji [22] | 2011 | China | 1.3 | 0.3 | 30 | 0.81 | 0.16 | 30 | Naeije et al. [16] | 1978 | Germany | 40 | 26.15 | 19 | 24 | 26.15 | 19 | Daoxiong et al. [10] | 1999 | China | 0.78 | 0.09 | 65 | 0.49 | 0.09 | 65 |
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