PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 14613583

Cancer cachexia.

Marcus E Martignoni·Philipp Kunze·Helmut Friess
View original source ↗Export metadata ↓

Abstract

In recent years many efforts of researchers and clinicians were made to improve our knowledge of cachexia syndrome. Not only cancer, but also many chronic or end-stage diseases such as AIDS, chronic obstructive pulmonary disease (COPD), rheumatoid arthritis, tuberculosis and Crohn's disease are associated with cachexia, a condition of abnormally low weight, weakness, and general bodily decline which deteriorates quality of life and reduces the prognosis of the patients who suffer from it. In the present editorial we will focus cachexia related on cancer and provide some insight into this prognosis-limiting syndrome.

Explore related subjects

CachexiaHumansNeoplasmsEditorial

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Marcus E Martignoni, Philipp Kunze, Helmut Friess. 2003-11-05. Cancer cachexia.. https://doi.org/10.1186/1476-4598-2-36

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2026

Prognostic modeling of overall survival in metastatic pancreatic cancer: an inflammation-based tool validated in PANTHEIA-SEOM cohort.

PURPOSE: To develop and internally validate the PANTHEIA-SIRI prognostic model, which integrates log-transformed systemic inflammation response index (SIRI) with clinical predictors, to estimate overall survival (OS) in metastatic pancreatic ductal adenocarcinoma (mPDAC) treated with first-line chemotherapy. METHODS: We used data from the multicenter PANTHEIA-SEOM registry. OS was defined from chemotherapy start. The model was fitted as a Weibull accelerated failure time model in the survival-analysis population with multiple imputation. Predictors were log-transformed baseline SIRI, modeled with restricted cubic splines, ECOG, tumor burden, chemotherapy regimen, and anorexia-cachexia syndrome. Internal validation used a separate, non-overlapping cohort from the same registry; the centers contributing to each cohort are listed in a supplementary annex. TRIPOD was followed. Discrimination was assessed with Harrell´s C-index and calibration with IPCW Brier scores and IPA. RESULTS: The derivation cohort comprised 672 patients with SIRI data (593 analyzed for survival) across 22 Spanish hospitals (2015-2025); 80.1% had died after a median OS of 9.9 months. The imputation-pooled derivation C-index was 0.654 (95% CI, 0.627-0.681); optimism-corrected, 0.629. Internal validation used 62 separate patients from the same registry; 96.8% had died after a median OS of 9.2 months. The validation C-index was 0.603 (95% CI, 0.518-0.687). Calibration was adequate at 6 and 12 months. CONCLUSIONS: The PANTHEIA-SIRI model provides individualized OS estimates in mPDAC with routine clinical predictors. Its open-access calculator ( https://pantheia-siri.shinyapps.io/calc/ ) may support prognostic communication, treatment-intensity selection, and supportive-care planning. Routine clinical implementation will require further validation in larger, fully independent cohorts.

Cachexia↗
PubMed2004

Inadequate nutritional intake for daily life activity of clinically stable patients with chronic heart failure.

We investigated the nutritional adequacy and energy availability in 57 normal-weight patients with chronic heart failure (HF) and 49 matched healthy sedentary subjects. We found that the chronic HF patients had a higher total energy expenditure (1,700 +/- 53 vs 1,950 +/- 43 kcal/day; p <0.01), a negative calorie balance (104 +/- 35 vs -186 +/- 40 kcal/day; p <0.01), a negative nitrogen balance (2.2 +/- 0.5 vs -1.7 +/- 0.4 g/day; p <0.01), and a hypercatabolic hormonal status (cortisol/insulin ratio 32 +/- 1.7 vs 65 +/- 5.1; p <0.01). We conclude that patients with chronic HF had an inadequate calorie intake to support energetic needs for daily activities, with consequent important protein breakdown that causes muscular wasting.

Cachexia↗