Literature DB >> 33852089

Oral dryness and moisture degree at the lingual but not buccal mucosa predict prognosis in end-of-life cancer patients.

Maiko Shimosato1, Naoki Sakane2.   

Abstract

PURPOSE: The aim of this study is to investigate the association of oral dryness with overall survival and determine the threshold points of moisture degree for predicting 7-day survival in palliative care patients.
METHODS: A total of 147 consecutive palliative care patients were included between January 2017 and November 2018. Oral dryness at the lingual and buccal mucosa was measured using an oral moisture-checking device. Overall survival was compared between patients with and without oral dryness using Kaplan-Meier curves with a log-rank test. Prediction accuracy was evaluated by the receiver operating characteristic (ROC) curve and the area under the curve (AUC).
RESULTS: Median survival (95% confidence interval) in patients with oral dryness at the lingual mucosa was shorter than that in patients without oral dryness (17 [11-24] days vs. 28 [22-37] days, log-rank test, p <0.001), but not at the buccal mucosa. Time-dependent ROC revealed that the AUCs for 7-, 14-, 21-, and 28-day survival predictions were 0.72, 0.68, 0.61, and 0.59 with a cutoff value of 19.2%, respectively. The prevalence of performance status (PS) 4 and oxygen administration in the 7-day death group were higher than those in the non-7-day death group. A stratified analysis indicated that moisture degree <19.2% showed fair predictive performance with an AUC of 0.74 and 0.74, in the case of PS ≤3 or without oxygen administration.
CONCLUSION: Oral dryness was associated with increased risk of mortality in palliative care patients. Moisture degree <19.2% at the lingual mucosa predicted less than 7-day survival.

Entities:  

Keywords:  Oral dryness; Palliative care; Prognosis; ROC curve

Year:  2021        PMID: 33852089     DOI: 10.1007/s00520-021-06212-x

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  21 in total

1.  A combination of routine laboratory findings and vital signs can predict survival of advanced cancer patients without physician evaluation: a fractional polynomial model.

Authors:  Jun Hamano; Ayano Takeuchi; Takuhiro Yamaguchi; Mika Baba; Kengo Imai; Masayuki Ikenaga; Yoshihisa Matsumoto; Ryuichi Sekine; Takashi Yamaguchi; Takeshi Hirohashi; Tsukasa Tajima; Ryohei Tatara; Hiroaki Watanabe; Hiroyuki Otani; Hiroka Nagaoka; Masanori Mori; Yo Tei; Shuji Hiramoto; Tatsuya Morita
Journal:  Eur J Cancer       Date:  2018-11-02       Impact factor: 9.162

2.  The application of the palliative prognostic index in predicting the life expectancy of patients in palliative care: a systematic review and meta-analysis.

Authors:  Ying Liu; Lin Su; Yuting Wang; Shuang Liu; Birong Dong
Journal:  Aging Clin Exp Res       Date:  2018-03-23       Impact factor: 3.636

3.  Associations between oral complications and days to death in palliative care patients.

Authors:  K Matsuo; R Watanabe; D Kanamori; K Nakagawa; W Fujii; Y Urasaki; M Murai; N Mori; T Higashiguchi
Journal:  Support Care Cancer       Date:  2015-05-12       Impact factor: 3.603

4.  Survival prediction for advanced cancer patients in the real world: A comparison of the Palliative Prognostic Score, Delirium-Palliative Prognostic Score, Palliative Prognostic Index and modified Prognosis in Palliative Care Study predictor model.

Authors:  Mika Baba; Isseki Maeda; Tatsuya Morita; Satoshi Inoue; Masayuki Ikenaga; Yoshihisa Matsumoto; Ryuichi Sekine; Takashi Yamaguchi; Takeshi Hirohashi; Tsukasa Tajima; Ryohei Tatara; Hiroaki Watanabe; Hiroyuki Otani; Chizuko Takigawa; Yoshinobu Matsuda; Hiroka Nagaoka; Masanori Mori; Yo Tei; Shuji Hiramoto; Akihiko Suga; Hiroya Kinoshita
Journal:  Eur J Cancer       Date:  2015-06-11       Impact factor: 9.162

5.  Prognosis prediction with two calculations of Palliative Prognostic Index: further prospective validation in hospice cancer patients with multicentre study.

Authors:  Sivakumar Subramaniam; Pauline Dand; Martin Ridout; Declan Cawley; Sophie Miller; Paola Valli; Rebecca Bright; Brendan O'Neill; Tricia Wilcocks; Georgina Parker; Dee Harris
Journal:  BMJ Support Palliat Care       Date:  2018-03-05       Impact factor: 3.568

Review 6.  Prognostication in advanced cancer: update and directions for future research.

Authors:  David Hui; Carlos Eduardo Paiva; Egidio G Del Fabbro; Christopher Steer; Jane Naberhuis; Marianne van de Wetering; Paz Fernández-Ortega; Tatsuya Morita; Sang-Yeon Suh; Eduardo Bruera; Masanori Mori
Journal:  Support Care Cancer       Date:  2019-03-13       Impact factor: 3.603

7.  A diagnostic model for impending death in cancer patients: Preliminary report.

Authors:  David Hui; Kenneth Hess; Renata dos Santos; Gary Chisholm; Eduardo Bruera
Journal:  Cancer       Date:  2015-07-28       Impact factor: 6.860

8.  Diagnostic accuracy of patient-reported dry mouth as a predictor for oral dryness in terminally ill cancer patients.

Authors:  Maiko Shimosato; Keita Asai; Naosuke Yokomichi; Keiji Nagano; Naoki Sakane
Journal:  Support Care Cancer       Date:  2020-09-28       Impact factor: 3.603

9.  Utility of the "surprise" question to identify dialysis patients with high mortality.

Authors:  Alvin H Moss; Jesse Ganjoo; Sanjay Sharma; Julie Gansor; Sharon Senft; Barbara Weaner; Cheryl Dalton; Karen MacKay; Beth Pellegrino; Priya Anantharaman; Rebecca Schmidt
Journal:  Clin J Am Soc Nephrol       Date:  2008-07-02       Impact factor: 8.237

10.  Palliative care assessment of dry mouth: what matters most to patients with advanced disease?

Authors:  Michelle Fleming; Cheryl L Craigs; Michael I Bennett
Journal:  Support Care Cancer       Date:  2019-06-14       Impact factor: 3.603

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.