| Literature DB >> 35722231 |
Hafiz Rehman Mehmood1, Zaman Khan1, Hafiz Muhammad Sajid Jahangir2, Abid Hussain3, Amina Elahi1, Syed Muhammad Hassan Askari4.
Abstract
Objective: Chronic kidney disease and/or disturbance in renal excretory function may lead to nitrogenous waste collection beyond the term as well as derangements of several serum biochemicals. There is no previous study from Pakistan that reveals serum electrolyte derangements in confirmed chronic kidney disease (CKD) patients and other biochemicals associated with CKD. This study aims to examine the derangements of serum biochemicals and the association of several risk factors with CKD.Entities:
Keywords: Chronic kidney disease; Diabetes; Electrolyte derangements; Hyperuricemia; Malnutrition
Year: 2021 PMID: 35722231 PMCID: PMC9170744 DOI: 10.1016/j.jtumed.2021.09.009
Source DB: PubMed Journal: J Taibah Univ Med Sci ISSN: 1658-3612
Study participants’ demographic and clinical characteristics.
| 48.6 ± 16.27 | |
| Male | 352 (57.5) |
| Female | 260 (42.5) |
| 1–20 | 16 (3.6) |
| 21–40 | 111 (25.6) |
| 41–60 | 218 (50.3) |
| 61–80 | 76 (17.5) |
| 81–100 | 12 (2.7) |
| Diabetics | 266 (43.5) |
| Non-diabetics | 346 (56.5) |
| Urea (mg/dL) | 180.5 ± 8.3 |
| Creatinine (mg/dL) | 7.6 ± 3.6 |
| Glucose (mg/dL) | 149.2 ± 8.8 |
| Uric acid (mg/dL) | 8.8 ± 3.4 |
| Albumin (g/dL) | 2.9 ± 0.75 |
| Calcium (mg/dL) | 7.9 ± 1.3 |
| Phosphorus (mg/dL) | 6.7 ± 2.8 |
| Magnesium (mg/dL) | 2.6 ± 0.62 |
| Sodium (mEq/L) | 135.8 ± 7.2 |
| Potassium (mEq/L) | 5.1 ± 1.2 |
| Chloride (mEq/L) | 101.4 ± 8.4 |
Note. Values are presented as n (%) and mean ± SD.
Prevalence of hypoalbuminemia by CKD patients’ age and gender.
| Gender | Age Groups (Years) | ||||
|---|---|---|---|---|---|
| 1–20 | 21–40 | 41–60 | 61–80 | 81–100 | |
| Male (n) | 6 | 49 | 122 | 52 | 10 |
| Female (n) | 10 | 62 | 96 | 24 | 2 |
| Total (n) | 16 | 111 | 218 | 76 | 12 |
| Percentage (%) | 3.6 | 25.6 | 50.3 | 17.5 | 2.7 |
Multinomial regression analysis to assess the risk factors associated with CKD.
| Variables | AOR (95% CI) | |
|---|---|---|
| Age | 0.980 (0.951–1.010) | 0.200 |
| Gender | 0.275 (0.093–0.815) | 0.012∗ |
| Diabetes | 0.985 (0.974–0.997) | 0.011∗ |
| Uric acid | 1.263 (1.084–1.472) | 0.003∗ |
| Malnutrition | 6.521 (2.734–15.554) | 0.000∗ |
| Calcium | 1.025 (0.669–1.570) | 0.910 |
| Phosphorus | 1.654 (1.372–1.994) | 0.000∗ |
| Magnesium | 0.314 (0.126–0.779) | 0.013∗ |
| Sodium | 1.000 (0.895–1.118) | 0.999 |
| Potassium | 1.185 (0.782–1.796) | 0.424 |
| Chloride | 0.955 (0.872–1.045) | 0.316 |
∗: statistically significant; AOR: adjusted odds ratio; CI: confidence interval.
Multinomial regression analysis to assess the risk factors associated with hyperuricemia.
| Variables | AOR (95% CI) | |
|---|---|---|
| Age | 1.010 (0.997–1.02) | 0.134 |
| Gender | 0.859 (0.583–1.264) | 0.440 |
| Diabetes | 1.000 (0.998–1.002) | 0.996 |
| Malnutrition | 1.459 (1.081–1.970) | 0.014∗ |
| Calcium | 0.855 (0.719–1.017) | 0.077 |
| Phosphorus | 0.950 (0.863–1.046) | 0.296 |
| Magnesium | 1.606 (1.137–2.270) | 0.007∗ |
| Sodium | 0.993 (0.949–1.038) | 0.754 |
| Potassium | 0.862 (0.725–1.024) | 0.091 |
| Chloride | 0.984 (0.948–1.022) | 0.409 |
∗: statistically significant; AOR: adjusted odds ratio; CI: confidence interval.