Research Article

Controlling Nutritional Status (CONUT) as a Novel Postoperative Prognostic Marker in Breast Cancer Patients: A Retrospective Study

Table 2

Patients’ baseline data.

ParametersAll patients () valueControl group () valueTreatment group (194) value
Cases (n)LOW 229HIGH 152Low 111High 76Low 118High 76

Age (years)1.3720.2411.5030.2200.2510.617
  < 50108(57.14%)81(42.86%)44(54.32%)37(45.68%)64(59.26%)44(40.74%)
  ≥ 50121(63.02%)71(36.98%)67(63.21%)39(36.79%)54(62.79%)32(37.21%)
Marital status1.9750.5772.7120.438
 Married214(59.78%)144(40.22%)110(60.11%)73(39.89%)104(59.43%)71(40.57%)
 Unmarried10(76.92%)3(23.08%)1(50.00%)1(50.00%)9(81.82%)2(18.18%)
 Divorced2(50.00%)2(50.00%)0(0.00%)0(0.00%)2(50.00%)2(50.00%)
 Widowed3(50.00%)3(50.00%)0(0.00%)2(100.00%)3(75.00%)1(25.00%)
Occupation1.5600.4562.1950.3341.8210.401
 Mental worker82(56.94%)62(43.06%)26(50.98%)25(49.02%)56(60.22%)37(39.78%)
 Manual worker53(58.89%)37(41.11%)37(62.71%)22(37.29%)16(51.61%)15(48.39%)
 Others94(63.95%)53(36.05%)48(62.34%)29(37.66%)46(65.71%)24(34.29%)
Weight (kg)10.1610.00111.2320.0011.3420.247
  < 6290(51.43%)85(48.57%)41(46.59%)47(53.41%)49(56.32%)38(43.68%)
  ≥ 62139(67.48%)67(32.52%)70(70.71%)29(29.29%)69(64.49%)38(35.51%)
Height (m)0.2630.6081.1360.2860.0940.760
  < 1.58101(61.59%)63(38.41%)57(63.33%)33(36.67%)44(59.46%)30(40.54%)
  ≥ 1.58128(58.99%)89(41.01%)54(55.67%)43(44.33%)74(61.67%)46(38.33%)
BMI2.2700.1323.0200.0820.1780.673
  < 24.45107(56.32%)83(43.68%)47(52.81%)42(47.19%)60(59.41%)41(40.59%)
  ≥ 24.45122(63.87%)69(36.13%)64(65.31%)34(34.69%)58(62.37%)35(37.63%)
Family history0.0470.8290.0110.9160.0440.835
 No171(60.42%)112(39.58%)84(59.57%)57(40.43%)87(61.27%)55(38.73%)
 Yes58(59.18%)40(40.82%)27(58.70%)19(41.30%)31(59.62%)21(40.38%)
Menarche age (year)0.0620.8020.2110.6460.0020.960
  < 1480(59.26%)55(40.74%)33(56.90%)25(43.10%)47(61.04%)30(38.96%)
  ≥ 14149(60.57%)97(39.43%)78(60.47%)51(39.53%)71(60.68%)46(39.32%)
Menopause1.4190.2330.8830.3470.5880.443
 No126(57.53%)93(42.47%)58(56.31%)45(43.69%)68(58.62%)48(41.38%)
 Yes103(63.58%)59(36.42%)53(63.10%)31(36.90%)50(64.10%)28(35.90%)
ABO blood type0.9620.8113.0760.3811.8150.612
 A55(61.80%)34(38.20%)28(66.67%)14(33.33%)27(57.45%)20(42.55%)
 B71(61.74%)44(38.26%)36(64.29%)20(35.71%)35(59.32%)24(40.68%)
 O81(59.56%)55(40.44%)38(52.78%)34(47.22%)43(67.19%)21(32.81%)
 AB22(53.66%)19(46.34%)9(52.94%)8(47.06%)13(54.17%)11(45.83%)
Tumor site0.6360.8010.0860.7690.0040.949
 Right113(60.75%)73(39.25%)55(60.44%)36(39.56%)58(61.05%)37(38.95%)
 Left116(59.49%)79(40.51%)56(58.33%)40(41.67%)60(60.61%)39(39.39%)
Type of surgery0.0680.7950.0010.9660.1530.696
 Mastectomy214(60.28%)141(39.72%)105(59.32%)72(40.68%)109(61.24%)69(38.76%)
 Breast-conserving surgery15(57.69%)11(42.31%)6(60.00%)4(40.00%)9(56.25%)7(43.75%)
Tumor size6.3680.0411.7190.4246.8000.033
  ≤2 cm94(61.04%)60(38.96%)33(63.46%)19(36.54%)61(59.80%)41(40.20%)
  >2 and< 5 cm114(63.69%)65(36.31%)66(60.00%)44(40.00%)48(69.57%)21(30.43%)
  ≥ 5 cm21(43.75%)27(56.25%)12(48.00%)13(52.00%)9(39.13%)14(60.87%)
Postoperative complications0.1040.7480.0570.8120.0410.839
 No220(60.27%)145(39.73%)106(59.55%)72(40.45%)114(60.96%)73(39.04%)
 Yes9(56.25%)7(43.75%)5(55.56%)4(44.44%)4(57.14%)3(42.86%)
Postoperative chemotherapy1.4050.2361.7380.1870.1680.682
 No89(64.03%)50(35.97%)28(68.29%)13(31.71%)61(62.24%)37(37.76%)
 Yes140(57.85%)102(42.15%)83(56.85%)63(43.15%)57(59.38%)39(40.63%)
Postoperative radiotherapy0.1530.6952.6350.1051.4460.229
 No49(62.03%)30(37.97%)32(69.57%)14(30.43%)17(51.52%)16(48.48%)
 Yes180(59.60%)122(40.40%)79(56.03%)62(43.97%)101(62.73%)60(37.27%)
Postoperative endocrine therapy0.7810.3770.0660.7970.9450.331
 No92(57.50%)68(42.50%)49(58.33%)35(41.67%)43(56.58%)33(43.42%)
 Yes137(61.99%)84(38.01%)62(60.19%)41(39.81%)75(63.56%)43(36.44%)
Postoperative targeted therapy1.3060.2532.5290.1120.3640.546
 No190(61.49%)119(38.51%)106(60.92%)68(39.08%)84(62.22%)51(37.78%)
 Yes39(54.17%)33(45.83%)5(38.46%)8(61.54%)34(57.63%)25(42.37%)

#BMI: body mass index.