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| Longitudinal study of prognostic nutritional index curve in patients with primary liver cancer |
| 1Xu Yuhong ,2Ju Lingling ,1Song Tingting, 1Wang Yuanyuan |
| 1Department of Hepatology the Third People's Hospital of Nantong the Third Nantong Hospital Affiliated to Nantong University
Nantong 226006 Jiangsu China
2Department of Oncology the Third People's Hospital of Nantong the Third Nantong Hospital
Affiliated to Nantong University Nantong 226006 Jiangsu China |
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Abstract Objective To explore the change track of prognostic nutritional index in patients with primary liver cancer and analyze
its influencing factors. Method 140 patients diagnosed with primary liver cancer who underwent surgical treatment in the Third People's
Hospital of Nantong from January 2021 to December 2023 were selected as the study objects. General data questionnaire and nutritional
index were used to investigate within one week after surgery T1
after the first radiotherapy T2
after 15 radiotherapy T3
after
30 radiotherapy or after the last radiotherapy T4
. Latent category growth model and single factor analysis were used for data
processing. Result The prognostic nutritional index curve of patients with primary liver cancer was identified to be divided into three
potential categories and the average probability of patients in each category belonging to each potential category was 0. 946 0. 950
0. 944 respectively. The three categories were malnutrition plus recombination 28. 3% good nutrition 55. 8% and improved
malnutrition 15. 9% . Different locus categories were age
χ
2 = 15. 025 P = 0. 005 marital status
χ
2 = 7. 407 P = 0. 025
education level
χ
2 = 16. 364 P= 0. 012 liver cancer grade
χ
2 = 12. 004 P= 0. 017 chronic disease
χ
2 = 7. 887 P= 0. 012 the
difference was statistically significant. Conclusion By investigating the change characteristics of prognostic nutritional index in patients
with primary liver cancer from postoperative to the end of radiotherapy this study identified three different curve trajectories and there
were differences in the curve trajectories of prognostic nutritional index in patients. Clinical staff should pay close attention to patients
with primary liver cancer caused by malnutrition and recombination timely identify high-risk patients with malnutrition and provide
active and targeted nutritional support to reduce the occurrence of adverse events caused by malnutrition as much as possible.
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