Table 6

Multivariate analysis of variables associated with near-complete response

VariableNWith factor (%)Without factor (%)OR (95% CI)P
Including “disease type” variables*      
    Non-IgG Isotype 297 63/125 (50) 13/172 (8) 8.90 (4.30-18.38) < .001 
    Light-chain only 297 31/49 (63) 45/248 (18) 2.37 (1.13-4.95) .022 
Excluding “disease type” variables*      
    Baseline SFLC higher than 75 mg/dL 301 37/100 (37) 41/201 (20) 1.99 (1.15-3.44) .014 
    LDH of 190 U/L or more 301 31/80 (39) 47/221 (21) 2.00 (1.13-3.55) .017 
VariableNWith factor (%)Without factor (%)OR (95% CI)P
Including “disease type” variables*      
    Non-IgG Isotype 297 63/125 (50) 13/172 (8) 8.90 (4.30-18.38) < .001 
    Light-chain only 297 31/49 (63) 45/248 (18) 2.37 (1.13-4.95) .022 
Excluding “disease type” variables*      
    Baseline SFLC higher than 75 mg/dL 301 37/100 (37) 41/201 (20) 1.99 (1.15-3.44) .014 
    LDH of 190 U/L or more 301 31/80 (39) 47/221 (21) 2.00 (1.13-3.55) .017 

P value from Wald chi-square test in logistic regression.

Multivariate model uses stepwise selection with entry level .1 and variable remains if meets the .05 level.

Multivariate model considered the following factors for stepwise regression: female sex, age of 65 years or older, albumin less than 3.5 g/dL, LDH of 190 U/L or higher, and baseline SFLC higher than 75 mg/dL.

OR indicates odds ratio; 95% CI, 95% confidence interval.

*

“Disease type” variables are IgG isotype, IgA isotype, and light-chain only.

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