Efficacy and Safety of a Parenteral Nutrition Program for Patients with RAS Wild-Type Metastatic Colorectal Cancer Administered First-Line Cetuximab Plus Chemotherapy: A Propensity Score Matching Study
Abstract
:1. Introduction
2. Patients and Methods
2.1. Study Design and Patient Population
2.2. Clinical Outcome Assessment
2.3. Statistical Analysis
3. Results
3.1. Study Populations and Baseline Characteristics
3.2. Efficacy
3.3. Adverse Events
3.4. Survival Rate
4. Discussion
5. Conclusions and Perspective
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Biller, L.H.; Schrag, D. Diagnosis and treatment of metastatic colorectal cancer: A review. JAMA 2021, 325, 669–685. [Google Scholar] [CrossRef] [PubMed]
- Health Promotion Administration. The Ministry of Health and Welfare of Taiwan. 2020 Cancer Incidence Statistics. Available online: https://www.hpa.gov.tw/Pages/List.aspx?nodeid=119 (accessed on 18 May 2023).
- Chen, H.H.; Ke, T.W.; Huang, C.W.; Jiang, J.K.; Chen, C.C.; Hsieh, Y.Y.; Teng, H.W.; Lin, B.W.; Liang, Y.H.; Su, Y.L.; et al. Taiwan Society of Colon and Rectal Surgeons Consensus on mCRC Treatment. Front. Oncol. 2021, 11, 64912. [Google Scholar] [CrossRef]
- Rawla, P.; Sunkara, T.; Barsouk, A. Epidemiology of colorectal cancer: Incidence, mortality, survival, and risk factors. Prz. Gastroenterol. 2019, 14, 89–103. [Google Scholar] [CrossRef] [PubMed]
- Giordano, G.; Parcesepe, P.; Bruno, G.; Piscazzi, A.; Lizzi, V.; Remo, A.; Pancione, M.; D’Andrea, M.R.; De Santis, E.; Coppola, L.; et al. Evidence-based second-line treatment in RAS wild-type/mutated metastatic colorectal cancer in the precision medicine era. Int. J. Mol. Sci. 2021, 22, 7717. [Google Scholar] [CrossRef] [PubMed]
- Li, R.; Liang, M.; Liang, X.; Yang, L.; Su, M.; Lai, K.P. Chemotherapeutic effectiveness of combining cetuximab for metastatic colorectal cancer treatment: A system review and meta-analysis. Front. Oncol. 2020, 10, 868. [Google Scholar] [CrossRef]
- Tsai, H.L.; Chen, Y.C.; Yin, T.C.; Su, W.C.; Chen, P.J.; Chang, T.K.; Li, C.C.; Huang, C.W.; Wang, J.Y. Comparison of UGT1A1 polymorphism as guidance of irinotecan dose escalation in RAS wild-type metastatic colorectal cancer patients treated with cetuximab or bevacizumab plus FOLFIRI as the first-line therapy. Oncol. Res. 2022, 29, 47–61. [Google Scholar] [CrossRef]
- Lewandowska, A.; Religioni, U.; Czerw, A.; Deptała, A.; Karakiewicz, B.; Partyka, O.; Pajewska, M.; Sygit, K.; Cipora, E.; Kmieć, K.; et al. Nutritional treatment of patients with colorectal cancer. Int. J. Environ. Res. Public Health. 2022, 19, 6881. [Google Scholar] [CrossRef]
- Muscaritoli, M.; Arends, J.; Bachmann, P.; Baracos, V.; Barthelemy, N.; Bertz, H.; Bozzetti, F.; Hütterer, E.; Isenring, E.; Kaasa, S.; et al. ESPEN practical guideline: Clinical nutrition in cancer. Clin. Nutr. 2021, 40, 2898–2913. [Google Scholar] [CrossRef]
- Di Costanzo, F.; Caccialanza, R.; Santoro, A.; Gavazzi, C.; Pedrazzoli, P. Current use of clinical nutrition in oncology patients: Real world evidence from big data in Italy. Ann. Oncol. 2018, 29, 618. [Google Scholar] [CrossRef]
- de Burgoa, L.J.; Seidner, D.; Hamilton, C.; Stafford, J.; Steiger, E. Examination of factors that lead to complications for new home parenteral nutrition patients. J. Infus. Nurs. 2006, 29, 74–80. [Google Scholar] [CrossRef]
- Gillanders, L.; Angstmann, K.; Ball, P.; O’Callaghan, M.; Thomson, A.; Wong, T.; Thomas, M. A prospective study of catheter-related complications in HPN program patients. Clin. Nutr. 2012, 31, 30–34. [Google Scholar] [CrossRef]
- Kumpf, V.J.; Tillman, E.M. Home parenteral nutrition: Safe transition from hospital to home. Nutr. Clin. Pract. 2012, 27, 749–757. [Google Scholar] [CrossRef]
- Howard, L. Home parenteral nutrition: Survival, cost, and quality of life. Gastroenterology 2006, 130, S52–S59. [Google Scholar] [CrossRef]
- Heinemann, V.; von Weikersthal, L.F.; Decker, T.; Kiani, A.; Vehling-Kaiser, U.; Al-Batran, S.E.; Heintges, T.; Lerchenmüller, C.; Kahl, C.; Seipelt, G.; et al. FOLFIRI plus cetuximab versus FOLFIRI plus bevacizumab as first-line treatment for patients with metastatic colorectal cancer (FIRE-3): A randomised, open-label, phase 3 trial. Lancet Oncol. 2014, 15, 1065–1075. [Google Scholar] [CrossRef] [PubMed]
- Ma, C.J.; Huang, C.W.; Yeh, Y.S.; Tsai, H.L.; Su, W.C.; Chang, T.K.; Sun, L.C.; Shih, Y.L.; Yu, F.J.; Wu, D.C.; et al. Supplemental home parenteral nutrition improved nutrition status with comparable quality of life in malnourished unresectable/metastatic gastric cancer receiving salvage chemotherapy. Support. Care Cancer 2021, 29, 1977–1988. [Google Scholar] [CrossRef] [PubMed]
- Eisenhauer, E.A.; Therasse, P.; Bogaerts, J.; Schwartz, L.H.; Sargent, D.; Ford, R.; Dancey, J.; Arbuck, S.; Gwyther, S.; Mooney, M.; et al. New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1). Eur. J. Cancer 2009, 45, 228–247. [Google Scholar] [CrossRef] [PubMed]
- Huang, C.W.; Su, W.C.; Chang, T.K.; Ma, C.J.; Yin, T.C.; Tsai, H.L.; Chen, P.J.; Chen, Y.C.; Li, C.C.; Hsieh, Y.C.; et al. Impact of previous abdominal surgery on robotic-assisted rectal surgery in patients with locally advanced rectal adenocarcinoma: A propensity score matching study. World J. Surg. Oncol. 2020, 18, 308. [Google Scholar] [CrossRef] [PubMed]
- Snyder, L.C.; Astsaturov, I.; Weiner, L.M. Overview of monoclonal antibodies and small molecules targeting the epidermal growth factor receptor pathway in colorectal cancer. Clin. Colorectal. Cancer 2005, 5, S71–S80. [Google Scholar] [CrossRef]
- Zenonos, K.; Kyprianou, K. RAS signaling pathways, mutations and their role in colorectal cancer. World J. Gastrointest. Oncol. 2013, 5, 97–101. [Google Scholar] [CrossRef]
- Fakih, M.; Wong, R. Efficacy of the monoclonal antibody EGFR inhibitors for the treatment of metastatic colorectal cancer. Curr. Oncol. 2010, 17, S3–S17. [Google Scholar] [CrossRef] [Green Version]
- Tsai, H.L.; Huang, C.W.; Lin, Y.W.; Wang, J.H.; Wu, C.C.; Sung, Y.C.; Chen, T.L.; Wang, H.M.; Tang, H.C.; Chen, J.B.; et al. Determination of the UGT1A1 polymorphism as guidance for irinotecan dose escalation in metastatic colorectal cancer treated with first-line bevacizumab and FOLFIRI (PURE FIST). Eur. J. Cancer 2020, 138, 19–29. [Google Scholar] [CrossRef] [PubMed]
- Huang, S.C.; Lin, C.C.; Teng, H.W.; Lin, H.H.; Chang, S.C.; Lan, Y.T.; Wang, H.S.; Yang, S.H.; Chen, W.S.; Jiang, J.K. A long-term and large-scale real-world study in Taiwan: Efficacy of target therapy in stage IV colorectal cancer. Front. Oncol. 2022, 12, 808808. [Google Scholar] [CrossRef] [PubMed]
- Travers, A.; Jalali, A.; Begbie, S.; Semira, C.; Kosmider, S.; Ananda, S.; Wong, R.; Lee, M.; Shapiro, J.; Burge, M.; et al. Real-world treatment and outcomes of metastatic colorectal cancer patients with a poor or very poor performance status. Clin. Colorectal. Cancer 2021, 20, e21–e34. [Google Scholar] [CrossRef] [PubMed]
- Correa, E.; Lindsay, T.; Dotan, E. Management of metastatic colorectal carcinoma in older adults: Balancing risks and benefits of novel therapies. Drugs Aging 2021, 38, 639–654. [Google Scholar] [CrossRef] [PubMed]
- Fakih, M.; Vincent, M. Adverse events associated with anti-EGFR therapies for the treatment of metastatic colorectal cancer. Curr. Oncol. 2010, 17, S18–S30. [Google Scholar] [CrossRef] [Green Version]
- Liu, Y.X.; Le, K.J.; Zhang, C.; Cui, M.; Zhou, H.; Su, Y.J.; Gu, Z.C. A fatal myelosuppression, diarrhea and neurotoxicity induced by combination of irinotecan and tegafur-gimeracil-oteracil potassium in the treatment of colon cancer: A case report. Transl. Cancer Res. 2020, 9, 382–387. [Google Scholar] [CrossRef]
- Cotogni, P. Enteral versus parenteral nutrition in cancer patients: Evidences and controversies. Ann. Palliat. Med. 2016, 5, 2–49. [Google Scholar] [CrossRef]
- Gössling, G.C.L.; Chedid, M.F.; Pereira, F.S.; da Silva, R.K.; Andrade, L.B.; Peruzzo, N.; Saueressig, M.G.; Schwartsmann, G.; Parikh, A.R. Outcomes and prognostic factors of patients with metastatic colorectal cancer who underwent pulmonary metastasectomy with curative intent: A Brazilian experience. Oncologist 2021, 26, e1581–e1588. [Google Scholar] [CrossRef]
- Mahmoud, N.; Bullard Dunn, K. Metastasectomy for stage IV colorectal cancer. Dis. Colon Rectum 2010, 53, 1080–1092. [Google Scholar] [CrossRef]
- Yeh, Y.S.; Tsai, H.L.; Chen, Y.C.; Su, W.C.; Chen, P.J.; Chang, T.K.; Li, C.C.; Huang, C.W.; Wang, J.Y. Effects of the number of neoadjuvant therapy cycles on clinical outcomes, safety, and survival in patients with metastatic colorectal cancer undergoing metastasectomy. Oncol. Res. 2022, 30, 65–76. [Google Scholar] [CrossRef]
- Bering, J.; DiBaise, J.K. Home parenteral and enteral nutrition. Nutrients 2022, 14, 2558. [Google Scholar] [CrossRef] [PubMed]
- Staun, M.; Pironi, L.; Bozzetti, F.; Baxter, J.; Forbes, A.; Joly, F.; Jeppesen, P.; Moreno, J.; Hébuterne, X.; Pertkiewicz, M.; et al. ESPEN guidelines on parenteral nutrition: Home parenteral nutrition (HPN) in adult patients. Clin. Nutr. 2009, 28, 467–479. [Google Scholar] [CrossRef] [PubMed]
- Rochford, A. Ethics of providing clinically assisted nutrition and hydration: Current issues. Frontline Gastroenterol. 2020, 12, 128–132. [Google Scholar] [CrossRef]
- Roeland, E.J.; Bohlke, K.; Baracos, V.E.; Bruera, E.; Del Fabbro, E.; Dixon, S.; Fallon, M.; Herrstedt, J.; Lau, H.; Platek, M.; et al. Management of cancer cachexia: ASCO guideline. J. Clin. Oncol. 2020, 38, 2438–2453. [Google Scholar] [CrossRef] [PubMed]
Baseline Data | Overall | p | After Match (1:3) | p | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
HPN (N = 110) | Non-HPN (N = 648) | HPN (N = 109) | Non-HPN (N = 327) | ||||||||
Gender | 0.725 | >0.999 | |||||||||
Male | 73 | (66.4%) | 441 | (68.1%) | 72 | (66.1%) | 216 | (65.4%) | |||
Female | 37 | (33.6%) | 207 | (31.9%) | 37 | (33.9%) | 111 | (33.6%) | |||
Age (years) | 0.100 | 0.315 | |||||||||
Median (IQR) | 64.4 | (55.4, 73.1) | 61.6 | (51.5, 69.8) | 63.9 | (55.4, 73.1) | 64.7 | (52.1, 71.7) | |||
Age (years) | 0.036 | >0.999 | |||||||||
<65 | 55 | (50.0%) | 393 | (60.6%) | 55 | (50.5%) | 165 | (50.9%) | |||
≥65 | 55 | (50.0%) | 255 | (39.4%) | 54 | (49.5%) | 162 | (49.1%) | |||
ECOG performance status | 0.209 | >0.999 | |||||||||
0 + 1 | 108 | (98.2%) | 616 | (95.1%) | 107 | (98.2%) | 321 | (98.2%) | |||
2 | 2 | (1.8%) | 31 | (4.8%) | 2 | (1.8%) | 6 | (1.8%) | |||
Unknown | 0 | (0.0%) | 1 | (0.1%) | 0 | (0.0%) | 0 | (0.0%) | |||
Primary lesion site | 0.856 | 0.910 | |||||||||
Left-sided | 100 | (90.9%) | 581 | (89.7%) | 99 | (90.8%) | 294 | (89.9%) | |||
Right-sided | 10 | (9.1%) | 62 | (9.6%) | 10 | (9.2%) | 31 | (9.5%) | |||
Unknown/Both | 0 | (0.0%) | 5 | (0.7%) | 0 | (0.0%) | 2 | (0.6%) | |||
Synchronous/metachronous | 0.122 | 0.774 | |||||||||
Synchronous | 61 | (55.5%) | 407 | (62.8%) | 61 | (56.0%) | 187 | (56.7%) | |||
Metachronous | 49 | (44.5%) | 237 | (36.6%) | 48 | (44.0%) | 138 | (41.8%) | |||
Unknown | 0 | (0.0%) | 4 | (0.6%) | 0 | (0.0%) | 2 | (1.5%) | |||
BRAF genotyping | 0.331 | 0.276 | |||||||||
Wild type | 108 | (98.2%) | 439 | (67.8%) | 107 | (98.2%) | 207 | (62.7%) | |||
Mutant type | 1 | (0.9%) | 15 | (2.3%) | 1 | (0.9%) | 7 | (2.1%) | |||
Unknown | 1 | (0.9%) | 194 | (29.9%) | 1 | (0.9%) | 113 | (34.2%) | |||
Metastatic sites | 0.173 | 0.292 | |||||||||
Liver | 39 | (35.5%) | 249 | (38.4%) | 39 | (35.8%) | 145 | (44.3%) | |||
Lungs | 16 | (14.5%) | 52 | (8.0%) | 16 | (14.7%) | 32 | (9.8%) | |||
Liver + lungs | 8 | (7.3%) | 56 | (8.7%) | 8 | (7.3%) | 18 | (5.5%) | |||
Others | 47 | (42.7%) | 291 | (44.9%) | 46 | (42.2%) | 132 | (40.4%) | |||
Number of metastatic sites | 0.008 | >0.999 | |||||||||
1 | 73 | (66.4%) | 337 | (52.0%) | 73 | (67.0%) | 219 | (67.0%) | |||
≥2 | 36 | (32.7%) | 295 | (45.5%) | 36 | (33.0%) | 108 | (33.0%) | |||
Unknown | 1 | (0.9%) | 16 | (2.5%) | 0 | (0.0%) | 0 | (0.0%) | |||
Serum CEA level before treatment | 0.455 | 0.617 | |||||||||
<5 ng/mL | 33 | (30.0%) | 147 | (22.7%) | 33 | (30.3%) | 78 | (23.9%) | |||
≥5 ng/mL | 77 | (70.0%) | 407 | (62.8%) | 76 | (69.7%) | 206 | (63.0%) | |||
Unknown | 0 | (0.0%) | 94 | (14.5%) | 0 | (0.0%) | 43 | (13.1%) |
Overall | p | After Match (1:3) | p | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
HPN (N = 110) | Non-HPN (N = 648) | HPN (N = 109) | Non-HPN (N = 327) | |||||||||
Response to cetuximab in first-line treatment | 0.063 | 0.013 | ||||||||||
CR | 3 | (2.7%) | 68 | (10.5%) | 3 | (2.8%) | 45 | (13.8%) | ||||
PR | 60 | (54.6%) | 307 | (47.4%) | 60 | (55.0%) | 148 | (45.3%) | ||||
SD | 30 | (27.3%) | 163 | (25.2%) | 29 | (26.6%) | 90 | (27.5%) | ||||
PD | 12 | (10.9%) | 78 | (12.0%) | 12 | (11.0%) | 33 | (10.1%) | ||||
Not evaluable/Unknown | 5 | (4.6%) | 32 | (4.9%) | 5 | (4.6%) | 11 | (3.4%) | ||||
Metastasectomy rate | 37 | (33.6%) | 123 | (19.0%) | 0.001 | 37 | (33.9%) | 66 | (20.2%) | 0.005 | ||
Metastatic site resection | 0.001 | 0.005 | ||||||||||
No resection | 73 | (66.4%) | 516 | (79.6%) | 72 | (66.1%) | 255 | (78.0%) | ||||
Resection | 37 | (33.6%) | 123 | (19.0%) | 37 | (33.9%) | 66 | (20.2%) | ||||
R0 resection | 26 | (23.6%) | 100 | (15.4%) | 26 | (23.9%) | 55 | (16.8%) | ||||
R1 resection | 10 | (9.1%) | 20 | (3.1%) | 10 | (9.2%) | 10 | (3.1%) | ||||
R2 resection | 1 | (0.9%) | 3 | (0.5%) | 1 | (0.9%) | 1 | (0.3%) | ||||
Unknown | 0 | (0.0%) | 9 | (1.4%) | 0 | (0.0%) | 6 | (1.8%) | ||||
ORR | 0.865 | 0.928 | ||||||||||
CR + PR | 63 | (57.3%) | 375 | (57.9%) | 63 | (57.8%) | 193 | (59.0%) | ||||
SD + PD | 42 | (38.2%) | 241 | (37.2%) | 41 | (37.6%) | 123 | (37.6%) | ||||
DCR | 0.724 | 0.754 | ||||||||||
CR + PR + SD | 93 | (84.5%) | 538 | (83.0%) | 92 | (84.4%) | 283 | (86.5%) | ||||
PD | 12 | (10.9%) | 78 | (12.0%) | 12 | (11.0%) | 33 | (10.1%) | ||||
Survival | 0.011 | 0.013 | ||||||||||
Yes | 72 | (65.5%) | 339 | (52.3%) | 72 | (66.1%) | 171 | (52.3%) | ||||
No | 38 | (34.5%) | 309 | (47.7%) | 37 | (33.9%) | 156 | (47.7%) | ||||
DoT (month) | 13.5 | (7.0, 23.3) | 9.8 | (6.0, 14.4) | <0.001 | 13.6 | (7.0, 23.7) | 10.3 | (6.4, 14.7) | 0.001 | ||
DoR (month) | 15.6 | (9.8, 30.0) | 7.8 | (4.2, 15.4) | <0.001 | 15.6 | (9.8, 30.0) | 9.9 | (4.8, 16.9) | <0.001 |
All Grades | p | Grade 1–2 | p | Grade ≥3 | p | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HPN (N = 110) | Non-HPN (N = 648) | HPN (N = 110) | Non-HPN (N = 648) | HPN (N = 110) | Non-HPN (N = 648) | |||||||||||
Hematologic (overall) | 101 | (91.8%) | 314 | (48.5%) | <0.001 | 96 | (87.3%) | 298 | (46.0%) | <0.001 | 30 | (27.3%) | 27 | (4.2%) | <0.001 | |
Anemia | 86 | (78.2%) | 214 | (33.0%) | <0.001 | 77 | (70.0%) | 210 | (32.4%) | <0.001 | 9 | (8.2%) | 4 | (0.6%) | <0.001 | |
Neutropenia | 89 | (80.9%) | 156 | (24.1%) | <0.001 | 65 | (59.1%) | 134 | (20.7%) | <0.001 | 24 | (21.8%) | 22 | (3.4%) | <0.001 | |
Febrile neutropenia | 4 | (3.6%) | 8 | (1.2%) | 0.083 | 1 | (0.9%) | 6 | (0.9%) | >0.999 | 3 | (2.7%) | 2 | (0.3%) | 0.024 | |
Thrombocytopenia | 11 | (10.0%) | 37 | (5.7%) | 0.088 | 11 | (10.0%) | 34 | (5.2%) | 0.052 | 0 | (0.0%) | 3 | (0.5%) | >0.999 | |
Non-hematologic (overall) | 110 | (100%) | 507 | (78.2%) | <0.001 | 110 | (100%) | 502 | (77.5%) | <0.001 | 9 | (8.2%) | 49 | (7.6%) | 0.824 | |
Skin reaction | 104 | (94.5%) | 374 | (57.7%) | <0.001 | 102 | (92.7%) | 353 | (54.5%) | <0.001 | 2 | (1.8%) | 21 | (3.2%) | 0.559 | |
Paronychia | 17 | (15.5%) | 147 | (22.7%) | 0.087 | 17 | (15.5%) | 147 | (22.7%) | 0.087 | 0 | (0.0%) | 0 | (0.0%) | - | |
Abdominal pain | 2 | (1.8%) | 57 | (8.8%) | 0.011 | 2 | (1.8%) | 54 | (8.3%) | 0.010 | 0 | (0.0%) | 3 | (0.5%) | >0.999 | |
Diarrhea | 42 | (38.2%) | 148 | (22.8%) | 0.001 | 40 | (36.4%) | 140 | (21.6%) | 0.001 | 2 | (1.8%) | 8 | (1.2%) | 0.645 | |
Nausea | 70 | (63.6%) | 216 | (33.3%) | <0.001 | 66 | (60.0%) | 215 | (33.2%) | <0.001 | 4 | (3.6%) | 1 | (0.2%) | 0.002 | |
Vomiting | 69 | (62.7%) | 146 | (22.5%) | <0.001 | 65 | (59.1%) | 141 | (21.8%) | <0.001 | 4 | (3.6%) | 5 | (0.8%) | 0.030 | |
Fatigue | 87 | (79.1%) | 251 | (38.7%) | <0.001 | 87 | (79.1%) | 239 | (36.9%) | <0.001 | 0 | (0.0%) | 12 | (1.9%) | 0.232 | |
Infusion reaction | 2 | (1.8%) | 11 | (1.7%) | >0.999 | 2 | (1.8%) | 11 | (1.7%) | >0.999 | 0 | (0.0%) | 0 | (0.0%) | - | |
Infection | 6 | (5.5%) | 16 | (2.5%) | 0.086 | 5 | (4.5%) | 13 | (2.0%) | 0.107 | 1 | (0.9%) | 3 | (0.5%) | 0.468 | |
ALT increased | 18 | (16.4%) | 60 | (9.3%) | 0.024 | 17 | (15.5%) | 59 | (9.1%) | 0.041 | 1 | (0.9%) | 1 | (0.2%) | 0.270 | |
AST increased | 16 | (14.5%) | 66 | (10.2%) | 0.175 | 15 | (13.6%) | 65 | (10.0%) | 0.258 | 1 | (0.9%) | 1 | (0.2%) | 0.270 | |
Bilirubin increased | 2 | (1.8%) | 24 | (3.7%) | 0.313 | 2 | (1.8%) | 22 | (3.4%) | 0.559 | 0 | (0.0%) | 2 | (0.3%) | >0.999 | |
Creatinine increased | 16 | (14.5%) | 28 | (4.3%) | <0.001 | 16 | (14.5%) | 24 | (3.7%) | <0.001 | 0 | (0.0%) | 4 | (0.6%) | >0.999 | |
Hypomagnesemia | 1 | (0.9%) | 16 | (2.5%) | 0.492 | 1 | (0.9%) | 16 | (2.5%) | 0.492 | 0 | (0.0%) | 0 | (0.0%) | - |
After Propensity Score Matching (1:3) | All Grades | p | Grade 1–2 | p | Grade ≥3 | p | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HPN (N = 109) | Non-HPN (N = 327) | HPN (N = 109) | Non-HPN (N = 327) | HPN (N = 109) | Non-HPN (N = 327) | |||||||||||
Hematologic (overall) | 100 | (91.7%) | 150 | (45.9%) | <0.001 | 95 | (87.2%) | 144 | (44.0%) | <0.001 | 30 | (27.5%) | 10 | (3.1%) | <0.001 | |
Anemia | 85 | (78.0%) | 100 | (30.6%) | <0.001 | 76 | (69.7%) | 98 | (30.0%) | <0.001 | 9 | (8.3%) | 2 | (0.6%) | <0.001 | |
Neutropenia | 88 | (80.7%) | 81 | (24.8%) | <0.001 | 64 | (58.7%) | 74 | (22.6%) | <0.001 | 24 | (22.0%) | 7 | (2.1%) | <0.001 | |
Febrile neutropenia | 4 | (3.7%) | 2 | (0.6%) | 0.037 | 1 | (0.9%) | 2 | (0.6%) | >0.999 | 3 | (2.8%) | 0 | (0.0%) | 0.016 | |
Thrombocytopenia | 11 | (10.1%) | 20 | (6.1%) | 0.196 | 11 | (10.1%) | 18 | (5.5%) | 0.098 | 0 | (0.0%) | 2 | (0.6%) | >0.999 | |
Non-hematologic (overall) | 109 | (100.0%) | 273 | (83.5%) | <0.001 | 109 | (100%) | 272 | (83.2%) | <0.001 | 9 | (8.3%) | 36 | (11.0%) | 0.457 | |
Skin reaction | 103 | (94.5%) | 229 | (70.0%) | <0.001 | 101 | (92.7%) | 214 | (65.4%) | <0.001 | 2 | (1.8%) | 15 | (4.6%) | 0.261 | |
Paronychia | 17 | (15.6%) | 98 | (30.0%) | 0.003 | 17 | (15.6%) | 98 | (30.0%) | 0.003 | 0 | (0.0%) | 0 | (0.0%) | - | |
Abdominal pain | 2 | (1.8%) | 39 | (11.9%) | 0.001 | 2 | (1.8%) | 36 | (11.0%) | 0.002 | 0 | (0.0%) | 3 | (0.9%) | 0.576 | |
Diarrhea | 42 | (38.5%) | 96 | (29.4%) | 0.078 | 40 | (36.7%) | 91 | (27.8%) | 0.084 | 2 | (1.8%) | 5 | (1.5%) | >0.999 | |
Nausea | 70 | (64.2%) | 130 | (39.8%) | <0.001 | 66 | (60.6%) | 129 | (39.4%) | <0.001 | 4 | (3.7%) | 1 | (0.3%) | 0.015 | |
Vomiting | 69 | (63.3%) | 100 | (30.6%) | <0.001 | 65 | (59.6%) | 96 | (29.4%) | <0.001 | 4 | (3.7%) | 4 | (1.2%) | 0.113 | |
Fatigue | 87 | (79.8%) | 168 | (51.4%) | <0.001 | 87 | (79.8%) | 158 | (48.3%) | <0.001 | 0 | (0.0%) | 10 | (3.1%) | 0.073 | |
Infusion reaction | 2 | (1.8%) | 6 | (1.8%) | >0.999 | 2 | (1.8%) | 6 | (1.8%) | >0.999 | 0 | (0.0%) | 0 | (0.0%) | - | |
Infection | 6 | (5.5%) | 10 | (3.1%) | 0.248 | 5 | (4.6%) | 7 | (2.1%) | 0.180 | 1 | (0.9%) | 3 | (0.9%) | >0.999 | |
ALT increased | 18 | (16.5%) | 27 | (8.3%) | 0.015 | 17 | (15.6%) | 26 | (8.0%) | 0.021 | 1 | (0.9%) | 1 | (0.3%) | 0.439 | |
AST increased | 16 | (14.7%) | 37 | (11.3%) | 0.398 | 15 | (13.8%) | 36 | (11.0%) | 0.445 | 1 | (0.9%) | 1 | (0.3%) | 0.439 | |
Bilirubin increased | 2 | (1.8%) | 9 | (2.8%) | 0.594 | 2 | (1.8%) | 8 | (2.4%) | >0.999 | 0 | (0.0%) | 1 | (0.3%) | >0.999 | |
Creatinine increased | 16 | (14.7%) | 15 | (4.6%) | <0.001 | 16 | (14.7%) | 14 | (4.3%) | <0.001 | 0 | (0.0%) | 1 | (0.3%) | >0.999 | |
Hypomagnesemia | 1 | (0.9%) | 8 | (2.4%) | 0.300 | 1 | (0.9%) | 8 | (2.4%) | 0.456 | 0 | (0.0%) | 0 | (0.0%) | - |
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Chang, Y.-T.; Chen, C.-C.; Chang, S.-C.; Chang, Y.-Y.; Lin, B.-W.; Chen, H.-H.; Hsieh, Y.-Y.; Hsu, H.-C.; Hsieh, M.-C.; Kuan, F.-C.; et al. Efficacy and Safety of a Parenteral Nutrition Program for Patients with RAS Wild-Type Metastatic Colorectal Cancer Administered First-Line Cetuximab Plus Chemotherapy: A Propensity Score Matching Study. Nutrients 2023, 15, 2971. https://doi.org/10.3390/nu15132971
Chang Y-T, Chen C-C, Chang S-C, Chang Y-Y, Lin B-W, Chen H-H, Hsieh Y-Y, Hsu H-C, Hsieh M-C, Kuan F-C, et al. Efficacy and Safety of a Parenteral Nutrition Program for Patients with RAS Wild-Type Metastatic Colorectal Cancer Administered First-Line Cetuximab Plus Chemotherapy: A Propensity Score Matching Study. Nutrients. 2023; 15(13):2971. https://doi.org/10.3390/nu15132971
Chicago/Turabian StyleChang, Yu-Tang, Chou-Chen Chen, Shih-Ching Chang, Yu-Yao Chang, Bo-Wen Lin, Hong-Hwa Chen, Yao-Yu Hsieh, Hung-Chih Hsu, Meng-Che Hsieh, Feng-Che Kuan, and et al. 2023. "Efficacy and Safety of a Parenteral Nutrition Program for Patients with RAS Wild-Type Metastatic Colorectal Cancer Administered First-Line Cetuximab Plus Chemotherapy: A Propensity Score Matching Study" Nutrients 15, no. 13: 2971. https://doi.org/10.3390/nu15132971
APA StyleChang, Y. -T., Chen, C. -C., Chang, S. -C., Chang, Y. -Y., Lin, B. -W., Chen, H. -H., Hsieh, Y. -Y., Hsu, H. -C., Hsieh, M. -C., Kuan, F. -C., Wu, C. -C., Lu, W. -C., Su, Y. -L., Liang, Y. -H., Chen, J. -B., Huang, S. -Y., Huang, C. -W., & Wang, J. -Y. (2023). Efficacy and Safety of a Parenteral Nutrition Program for Patients with RAS Wild-Type Metastatic Colorectal Cancer Administered First-Line Cetuximab Plus Chemotherapy: A Propensity Score Matching Study. Nutrients, 15(13), 2971. https://doi.org/10.3390/nu15132971