Table 2. Association between nCCV and various medical outcomes.

Continuous Medical Outcomes	Coefficient (95% CI)	Wald Test Chi-square	p. value
BMI (n = 33)a	0.45 (-0.66, 1.56)	0.64	0.43
Serum Sodium (n = 38)a	-0.72 (-1.55, 0.11)	2.91	0.08
CKD stage (0–4) (n = 22)c	0.53 (0.05, 1.00)	4.69	0.03
Platelet Count (n = 42)	-28.69 (-69.14, 11.76)	1.93	0.16
Binary Medical Outcomes	Odds Ratio (95% CI)	Wald Test Chi-square	p. value
Hypothyroidism (n = 20)d	19.68 (1.60, 242.46)	5.41	0.02
Fanconi Syndrome (n = 39)	0.74 (0.36, 1.52)	0.67	0.41
Polydipsia (n = 38)	0.99 (0.52, 1.88)	0	0.97

^a: Model adjusted for age.

^b: Model adjusted for age and BMI.

^c: Model adjusted for age and eGFR and restricted to patients without kidney transplant.

^d: Model adjusted for gender and restricted to sample with age> = 9.

For each of the continuous medical outcomes, separate linear regression model was fit with standardized nCCV as the main predictor.

For each of the binary medical outcomes, separate logistic regression model was fit with the standardized nCCV as the main predictor.

CKD = Chronic Kidney Disease.