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©The Author(s) 2024.
World J Gastroenterol. Feb 21, 2024; 30(7): 685-704
Published online Feb 21, 2024. doi: 10.3748/wjg.v30.i7.685
Published online Feb 21, 2024. doi: 10.3748/wjg.v30.i7.685
Table 1 Demographic data of the study population (baseline)
Table 2 Anthropometric indexes of the study population (baseline)
Variables (mean ± SD) | Healthy subjects (n = 40) | cACLD patients (n = 150) | P value1 |
BMI (kg/m2) | 24.97 ± 2.17 | 32.61 ± 23.94 | < 0.0001 |
WhR | 0.81 ± 0.05 | 1.56 ± 3.02 | < 0.0001 |
Systolic blood pressure (mm/Hg) | 115.3 ± 9.73 | 130.7 ± 12.57 | < 0.0001 |
Diastolic blood pressure (mm/Hg) | 74.67 ± 10.42 | 87.33 ± 8.58 | 0.003 |
Table 3 Biochemical parameters of the study population (baseline)
Variables (mean ± SD) | Healthy subjects (n = 40) | cACLD patients (n = 150) | P value1 |
AST (IU/L) | 31.30 ± 10.14 | 48.74 ± 54.09 | < 0.0001 |
ALT (IU/L) | 39.37 ± 17.57 | 70.02 ± 15.05 | < 0.0001 |
Bilirubin (µmol/L) | 15.98 ± 1.74 | 25.86 ± 7.53 | < 0.0001 |
PLT count (mm3) | 242.6 ± 42.76 | 155.7 ± 61.56 | < 0.0001 |
RDW-CV (%) | 14.40 ± 2.28 | 21.04 ± 15.20 | < 0.0001 |
RDW-SD (fL) | 40.19 ± 4.48 | 56.27 ± 10.54 | < 0.0001 |
Albumin (g/L) | 44.2 ± 0.29 | 26.35 ± 8.48 | < 0.0001 |
INR | 1.02 ± 0.38 | 1.78 ± 1.11 | NS |
HOMA-IR | 1.77 ± 0.54 | 3.15 ± 1.52 | < 0.0001 |
Insulin (µu/mL) | 7.03 ± 1.52 | 11.67 ± 3.259 | < 0.0001 |
FPG (mg/dL) | 100.7 ± 9.35 | 120.9 ± 17.48 | < 0.0001 |
Total cholesterol (mg/dL) | 135.2 ± 42.07 | 185.2 ± 44.12 | < 0.0001 |
HDL (mg/dL) | 95.93 ± 27.29 | 42.37 ± 9.92 | < 0.0001 |
LDL (mg/dL) | 44.73 ± 9.67 | 126.1 ± 39.78 | < 0.0001 |
Tryglicerides (mg/dL) | 109.5 ± 32.14 | 150.6 ± 63.39 | 0.002 |
Creatinine (mg/dL) | 0.97 ± 0.23 | 1.48 ± 3.88 | 0.03 |
Table 4 Non-invasive tools for liver disease severity assessment of the study population (baseline)
Variables (mean ± SD) | Healthy subjects (n = 40) | cACLD patients (n = 150) | P value |
LSM (kPa) | NA | 19.67 ± 3.39 | / |
APRI | NA | 1.75 ± 0.28 | / |
FIB-4 | NA | 3.11 ± 1.78 | / |
ALBI | NA | -2.378 ± 0.63 | / |
ALBI-FIB-4 | NA | 1.44 ± 0.99 | / |
Child-Pugh | NA | 6.24 ± 1.23 | / |
MELD | NA | 7.74 ± 2.69 | / |
RDW (fL)/PLT ratio | 0.17 ± 0.03 | 0.458 ± 0.27 | / |
Table 5 Comparison of demographic data between patients remaining compensated and individuals progressing to decompensation during the follow-up period
Patients remaining compensated (n = 107) | Patients progressing to decompensation (n = 43) | P value | |
Male [n (%)] | 66 (61.7) | 22 (51.2) | NS1 |
Female [n (%)] | 41 (38.3) | 21 (48.8) | NS1 |
Age (mean ± SD) | 61.81 ± 10.99 | 66.47 ± 12.01 | NS2 |
Child-Pugh Grade A [n (%)] | 78 (72.9) | 29 (67.5) | NS1 |
Child-Pugh Grade B [n (%)] | 29 (27.1) | 14 (32.5) | NS1 |
Table 6 Comparison of anthropometric indexes between patients remaining compensated and individuals progressing to decompensation during the follow-up period
Variables (mean ± SD) | Patients remaining compensated (n = 107) | Patients progressing to decompensation (n = 43) | P value1 |
BMI (kg/m2) | 33.58 ± 2.28 | 30.18 ± 3.13 | NS |
WhR | 1.79 ± 0.83 | 1.01 ± 0.13 | NS |
Systolic blood pressure (mm/Hg) | 130.5 ± 13.49 | 131.2 ± 10.05 | NS |
Diastolic blood pressure (mm/Hg) | 87.85 ± 8.85 | 86.05 ± 7.83 | NS |
Table 7 Comparison of biochemical parameters between patients remaining compensated and individuals progressing to decompensation during the follow-up period
Variables (mean ± SD) | Patients remaining compensated (n = 107) | Patients progressing to decompensation | P value1 |
AST (IU/L) | 29.28 ± 8.55 | 32.50 ± 27.15 | NS |
ALT (IU/L) | 50.13 ± 17.5 | 54.86 ± 31.4 | NS |
Bilirubin (µmol/L) | 23.64 ± 4.74 | 32.97 ± 7.10 | NS |
PLT count (mm3) | 183 ± 48.77 | 87.60 ± 28.15 | < 0.0001 |
RDW-CV (%) | 15.66 ± 3.53 | 34.41 ± 23.05 | < 0.0001 |
RDW-SD (fL) | 53.05 ± 8.91 | 64.30 ± 10.07 | < 0.0001 |
Albumin (g/L) | 35.02 ± 7.41 | 32.48 ± 1.54 | NS |
INR | 1.26 ± 0.36 | 1.89 ± 0.27 | NS |
HOMA-IR | 2.94 ± 1.57 | 3.66 ± 1.26 | NS |
Insulin (µu/mL) | 11.50 ± 3.36 | 12.09 ± 2.98 | NS |
FPG (mg/dL) | 121 ± 18.09 | 120.9 ± 16.07 | NS |
Total cholesterol (mg/dL) | 185.2 ± 39.71 | 175.3 ± 54.09 | NS |
HDL (mg/dL) | 43.23 ± 9.82 | 40.13 ± 9.97 | NS |
LDL (mg/dL) | 125.9 ± 37.9 | 126.7 ± 44.51 | NS |
Tryglicerides (mg/dL) | 145.8 ± 53.29 | 162.4 ± 82.99 | NS |
Creatinine (mg/dL) | 1.13 ± 0.91 | 2.13 ± 1.07 | 0.02 |
Table 8 Receiving operator curve features using cut-off values > 0.472 as the red-cell distribution width to platelet ratio threshold in the prediction of 3-year first decompensation event
Value | 95%CI | |
Relative risk1 | 3.630 | 2.416 to 5.842 |
Reciprocal of relative risk | 0.2755 | 0.1712 to 0.4140 |
Sensitivity | 0.8692 | 0.7923 to 0.9204 |
Specificity | 0.9070 | 0.7840 to 0.9632 |
Positive predictive value | 0.9588 | 0.8987 to 0.9838 |
Negative predictive value | 0.7358 | 0.6042 to 0.8356 |
Table 9 Type of first decompensation event of non-acute and acute decompensating patients
Type of first decompensation event | NAD-decompensating patients (n = 29) | AD-decompensating patients (n = 14) |
(A) Slow/ grade 1 ascites formation [n (%)] | 14 (48.3) | / |
(B) Mild (grade 1/2) hepatic encephalopathy [n (%)] | 6 (20.7) | / |
(C) Jaundice in non-cholestatic cirrhosis [n (%)] | 9 (31) | / |
A + B/A + C | 2/5 | |
(D) Grade 2/3 ascites within less than 2 wk [n (%)] | / | 5 (35.7) |
(E) Severe acutea hepatic encephalopathy [n (%)] | / | 4 (28.5) |
(F) Acute gastrointestinal bleeding [n (%)] | / | 2 (14.3) |
(G) Acute bacterial infection | / | 3 (21.5) |
Table 10 Demographic baseline data of non-acute and acute decompensating patients
Table 11 Anthropometric indexes demographic baseline data of non-acute and acute decompensating patients
Variables (mean ± SD) | NAD-decompensating patients (n = 29) | AD-decompensating patients (n = 14) | P value1 |
BMI (kg/m2) | 29.57 ± 3.17 | 31.43 ± 2.72 | NS |
WhR | 0.99 ± 0.11 | 1.05 ± 0.17 | NS |
Systolic blood pressure (mm/Hg) | 130.3 ± 9.81 | 132.9 ± 10.59 | NS |
Diastolic blood pressure (mm/Hg) | 86.03 ± 8.59 | 86.07 ± 6.25 | NS |
Table 12 Biochemical parameters data of non-acute and acute decompensating patients
Variables (mean ± SD) | NAD-decompensating patients (n = 29) | AD-decompensating patients (n =14) | P value1 |
AST (IU/L) | 27.93 ± 26.99 | 44.11 ± 11.26 | 0.004 |
ALT (IU/L) | 40.10 ± 35.52 | 54.71 ± 51.23 | NS |
Bilirubin (µmol/L) | 21.75 ± 5.32 | 26.94 ± 1.32 | NS |
PLT count (mm3) | 100.2 ± 24.37 | 61.57 ± 14.12 | < 0.0001 |
RDW-CV (%) | 26.16 ± 19.26 | 51.51 ± 21.23 | < 0.0001 |
RDW-SD (fL) | 54.39 ± 10.21 | 64.10 ± 10.14 | < 0.0001 |
Albumin (g/L) | 28.6 ± 2.21 | 21.8 ± 2.59 | NS |
INR | 1.76 ± 0.66 | 1.96 ± 0.62 | NS |
HOMA-IR | 3.44 ± 1.29 | 4.12 ± 1.09 | NS |
Total cholesterol (mg/dL) | 195.4 ± 56.20 | 164.4 ± 44.17 | NS |
Tryglicerides (mg/dL) | 167.4 ± 92.42 | 152.1 ± 60.71 | NS |
Creatinine (mg/dL) | 1.27 ± 1.51 | 2.61 ± 1.22 | 0.03 |
Table 13 Non-invasive tools for liver disease severity assessment of non-acute and acute decompensating patients
Variables (mean ± SD) | NAD-decompensating patients (n = 29) | AD-decompensating patients (n = 14) | P value1 |
LSM (kPa) | 20.90 ± 2.09 | 28.04 ± 3.44 | < 0.0001 |
APRI | 1.60 ± 0.30 | 1.90 ± 0.38 | < 0.0001 |
FIB-4 | 3.53 ± 1.75 | 3.86 ± 2.64 | NS |
ALBI | -1.98 ± 0.62 | -1.66 ± 0.35 | 0.03 |
Child-Pugh | 6.89 ± 0.97 | 7.42 ± 0.75 | 0.046 |
MELD | 11.07 ± 3.35 | 13.79 ± 2.07 | 0.011 |
RDW (fL)/PLT ratio | 0.668 ± 0.152 | 1.077 ± 0.253 | < 0.0001 |
Table 14 Receiving operator curve features using cut-off values > 0.894 as the red-cell distribution width to platelet ratio threshold in the prediction of acute decompensation as first decompensation event
Value | 95%CI | |
Sensitivity | 0.9310 | 0.7804-0.9877 |
Specificity | 0.8571 | 0.6006-0.9746 |
Positive predictive value | 0.9310 | 0.7804-0.9877 |
Negative predictive value | 0.8571 | 0.6006-0.9746 |
- Citation: Dallio M, Romeo M, Vaia P, Auletta S, Mammone S, Cipullo M, Sapio L, Ragone A, Niosi M, Naviglio S, Federico A. Red cell distribution width/platelet ratio estimates the 3-year risk of decompensation in Metabolic Dysfunction-Associated Steatotic Liver Disease-induced cirrhosis. World J Gastroenterol 2024; 30(7): 685-704
- URL: https://www.wjgnet.com/1007-9327/full/v30/i7/685.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i7.685