Table 8

Logistic regression models (formulas) for sialometrical and sialochemical variables combined as tests for SS. The probability of a subject having SS is represented in logistic regression formula as “p”. A p value <0.5 is considered positive for SS. For comparison with cut off point approach see tables 6 and 7

Formulas for classifying SS test (logistic regression approach)SpecificitySensitivityLRNoPPVNPV
LR, likelihood ratio; No, number of cases included in the analysis out of total (observation group n=100). Cases were rejected when data were missing in any of the variables in the formula; PPV, positive predictive value; NPV, negative predictive value; LNR, loge; SM/SL, submandibular/sublingual.
Parotid sialochemical variables
10.Parotid sodium (X1) and parotid chloride (X2)
(parotid phosphate removed by analysis)0.930.7511570.910.79
Formula: LNR (p)=2.8603−0.2044X1−0.0547X2
SM/SL sialochemical variables
11.SM/SL chloride (X1) and SM/SL phosphate (X2)
(SM/SL sodium removed by analysis)0.900.727490.810.85
Formula: LNR (p)=0.9882−0.1411X1+0.6928X2
Parotid and SM/SL sialochemical variables
12.Parotid sodium (X1) and parotid chloride (X2) and SM/SL phosphate (X3) (SM/SL sodium, SM/SL chloride, and parotid phosphate removed by analysis)0.960.8020430.920.90
Formula: LNR (p)=1.6479−0.2274X1−0.1268X2+1.3265X3
Sialometrical variables
13.Stimulated SM/SL (X1) flow and parotid lag phase (X2)
Formula: LNR (p)=−0.1546+1.1286X1−0.0050X20.600.6721000.680.58
Sialometrical and sialochemical variables
14.Parotid sodium (X1) and stimulated SM/SL flow (X2)
(parotid chloride and lag phase removed by analysis)0.900.768900.890.78
Formula: LNR (p)=0.6765−0.2353X1+3.3929X2