Patient-reported outcomes in cancer patients admitted during the COVID 19 pandemic in a tertiary Spanish hospital.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e24098-e24098
Author(s):  
Veronica Velasco Durantez ◽  
Adán Rodríguez González ◽  
Maria Pilar Solis-Hernandez ◽  
Clara Iglesias Gomez ◽  
Alfonso Revuelta ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
Advanced Disease ◽  
Stage Iv ◽  
Spanish Hospital ◽  
Patient Reported ◽  
Stage Iv Disease ◽  
Localized Disease ◽  
Grade 3 ◽  
Time Of Admission

e24098 Background: Patient reported outcomes measures (PROMs) represent a tool to objectively assess the health of cancer patients. PROMs may complement oncological evaluations by adding patients’ perspectives on their care priorities. Aim: to address more accurately the management of tumor related symptoms or drug related toxicities to bring he therapies more accurately to bring patients the best quality of life possible. Methods: Data was collected from our electronic registry after proper authorization and corresponding anonymization. Patients were systematically asked for symptoms as fever, diarrhea, dyspnea, vomiting and nausea. These symptoms were graded according to their severity using the Common Toxicity Criteria v5.0. Results: 49 patients admitted to Medical Oncology Hospitalization were included from July of 2020 to January 2021, 80% in advanced disease. Median age 63yo, 32% above 70 yo. Baseline data showed that 27% patients (19% stage IV) had fever at admission, decreasing at 48h to 4%. Patients who had vomiting at admission were 33% (28% stage IV) median grade 2 becoming 20% and grade 1 at 48h. Nausea was present in 49% patients (35% stage IV) at the time of admission with a median grade 1.5, and it decreased to 16% at 48h with a median grade 2. Diarrhea was reported in 12% patients (6% stage IV) median grade 2 at baseline and it was reduced to 10% median grade 1 at 48h. The median severity of diarrhea at admission was 2 and only 1 at 48h. At admission, 33% (all stage IV) of patients presented dyspnea with a median grade 3, while at 48h it was present in 26% of patients and reduced to median grade 2. Conclusions: By systematically measuring symptoms, patients achieved better control of diarrhea, dyspnea, vomiting and nausea after admission. It should be noted that nausea was the variable that decreased the most at 48h, followed by fever, vomiting, dyspnea and diarrhea. All patients with stage IV disease had dyspnea and most of them had nausea and vomiting. These results reflect that these symptoms are more usual in patients with advanced disease compared to those with localized disease. PROMS also help us educate patients by teaching them how to manage treatments, thus improving therapeutic adherence.

scholarly journals Adverse Events of Bevacizumab in Patients with Metastatic Colorectal Cancer

2020 ◽  
Vol 71 (1) ◽  
pp. 140-144
Author(s):  
Andreea-Daniela Gheorghe ◽  
Daniela Zob ◽  
Dana-Lucia Stanculeanu
Keyword(s):  
Colorectal Cancer ◽  
Adverse Events ◽  
Adverse Reactions ◽  
Chemotherapy Regimen ◽  
Stage Iv ◽  
Bevacizumab Treatment ◽  
Significant Difference ◽  
Stage Iv Disease ◽  
Localized Disease ◽  
Grade 3

Even with the decreasing incidence of colorectal cancer (CRC), data showing that the rate of incidence of CRC is declining with 2.9% every year starting with 2005 until 2014, CRC remains one of the most frequent neoplasia all over the world. Almost a quarter of patients with CRC present with stage IV disease at diagnosis and nearly 30% of patients with localized disease will progress within 5 years. Our study included 129 patients with metastatic CRC that received chemotherapy � bevacizumab, from January 2017 until December 2018. Patients received fluropirimidine-based chemotherapy plus or minus bevacizumab. No significant differences was registered between groups with respects of age, sex, tumor localization, chemotherapy regimen used. Also no significant difference was found in our groups regarding risk factors for bleeding and medical history. No remarkable differences were registered between the two groups regarding common adverse reactions to chemotherapy, with the exception of physical asthenia which was found in a greater proportion of patients that received bevacizumab in combination with chemotherapy. In our study most frequent adverse events related to bevacizumab were grade 1 or 2, only few adverse events were grade 3 or 4 and lead to discontinuation of bevacizumab treatment, and these were mainly thromboembolic events and bleeding.

scholarly journals Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sanna Iivanainen ◽  
Jussi Ekstrom ◽  
Henri Virtanen ◽  
Vesa V. Kataja ◽  
Jussi P. Koivunen
Keyword(s):  
Machine Learning ◽  
Early Detection ◽  
Adverse Events ◽  
Cancer Patients ◽  
Immune Checkpoint ◽  
Patient Reported Outcomes ◽  
Prediction Models ◽  
Accuracy Score ◽  
Patient Reported ◽  
Auc Value

Abstract Background Immune-checkpoint inhibitors (ICIs) have introduced novel immune-related adverse events (irAEs), arising from various organ systems without strong timely dependency on therapy dosing. Early detection of irAEs could result in improved toxicity profile and quality of life. Symptom data collected by electronic (e) patient-reported outcomes (PRO) could be used as an input for machine learning (ML) based prediction models for the early detection of irAEs. Methods The utilized dataset consisted of two data sources. The first dataset consisted of 820 completed symptom questionnaires from 34 ICI treated advanced cancer patients, including 18 monitored symptoms collected using the Kaiku Health digital platform. The second dataset included prospectively collected irAE data, Common Terminology Criteria for Adverse Events (CTCAE) class, and the severity of 26 irAEs. The ML models were built using extreme gradient boosting algorithms. The first model was trained to detect the presence and the second the onset of irAEs. Results The model trained to predict the presence of irAEs had an excellent performance based on four metrics: accuracy score 0.97, Area Under the Curve (AUC) value 0.99, F1-score 0.94 and Matthew’s correlation coefficient (MCC) 0.92. The prediction of the irAE onset was more difficult with accuracy score 0.96, AUC value 0.93, F1-score 0.66 and MCC 0.64 but the model performance was still at a good level. Conclusion The current study suggests that ML based prediction models, using ePRO data as an input, can predict the presence and onset of irAEs with a high accuracy, indicating that ePRO follow-up with ML algorithms could facilitate the detection of irAEs in ICI-treated cancer patients. The results should be validated with a larger dataset. Trial registration Clinical Trials Register (NCT3928938), registration date the 26th of April, 2019

scholarly journals Linguistic validation of the simplified Chinese version of the US National Cancer Institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE™)

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Cheng KKF ◽  
S. A. Mitchell ◽  
N. Chan ◽  
E. Ang ◽  
W. Tam ◽  
...  
Keyword(s):  
Adverse Events ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
A Priori ◽  
Cognitive Interviews ◽  
Simplified Chinese ◽  
Patient Reported ◽  
The Us ◽  
The Common ◽  
Response Choices

Abstract Background The aim of this study was to translate and linguistically validate the U.S. National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE™) into Simplified Chinese for use in Singapore. Methods All 124 items of the English source PRO-CTCAE item library were translated into Simplified Chinese using internationally established translation procedures. Two rounds of cognitive interviews were conducted with 96 cancer patients undergoing adjuvant treatment to determine if the translations adequately captured the PRO-CTCAE source concepts, and to evaluate comprehension, clarity and ease of judgement. Interview probes addressed the 78 PRO-CTCAE symptom terms (e.g. fatigue), as well as the attributes (e.g. severity), response choices, and phrasing of ‘at its worst’. Items that met the a priori threshold of ≥20% of participants with comprehension difficulties were considered for rephrasing and retesting. Items where < 20% of the sample experienced comprehension difficulties were also considered for rephrasing if better phrasing options were available. Results A majority of PRO-CTCAE-Simplified Chinese items were well comprehended by participants in Round 1. One item posed difficulties in ≥20% and was revised. Two items presented difficulties in < 20% but were revised as there were preferred alternative phrasings. Twenty-four items presented difficulties in < 10% of respondents. Of these, eleven items were revised to an alternative preferred phrasing, four items were revised to include synonyms. Revised items were tested in Round 2 and demonstrated satisfactory comprehension. Conclusions PRO-CTCAE-Simplified Chinese has been successfully developed and linguistically validated in a sample of cancer patients residing in Singapore.

scholarly journals Patient-Reported Outcomes, Health-Related Quality of Life, and Clinical Outcomes for Urothelial Cancer Patients Receiving Chemo- or Immunotherapy: A Real-Life Experience

2021 ◽  
Vol 10 (9) ◽  
pp. 1852
Author(s):  
Gry Assam Taarnhøj ◽  
Henriette Lindberg ◽  
Christoffer Johansen ◽  
Helle Pappot
Keyword(s):  
Quality Of Life ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
Life Experience ◽  
Locally Advanced ◽  
Neoadjuvant Treatment ◽  
Real Life ◽  
Oncological Treatment ◽  
Patient Reported

Patients with urothelial cell carcinoma (UCC) often have comorbidities, which cause trouble for the completion of oncological treatment, and little is known about their quality of life (QoL). The aim of the present study was to obtain and describe patient-reported outcomes (PRO) and QoL data from UCC patients in the treatment for locally advanced muscle-invasive or metastatic UCC. A total of 79 patients with UCC completed four questionnaires (EORTC QLQ-C30, QLQ-BLM30, HADS, and select PRO-CTCAE™ questions) once weekly during their treatment. From those, 26 patients (33%) underwent neoadjuvant treatment for local disease while 53 patients (67%) were treated for metastatic disease. Of all patients, 54% did not complete the planned treatment due to progression, nephrotoxicity, death, or intolerable symptoms during treatment. The five most prevalent PRO-CTCAE grade ≥ 2 symptoms were frequent urination (37%), fatigue (35%), pain (31%), dry mouth (23%), and swelling of the arms or legs (23%). The baseline mean overall QoL was 61 (±SD 24) for all patients (neoadjuvant (73, ±SD 19) and metastatic (54, ±SD 24)) and remained stable over the course of treatment for both groups. A stable overall QoL was observed for the patients in this study. More than half of the patients did not, however, complete the planned treatment. Further supportive care is warranted for bladder cancer patients.

Sign in / Sign up

Export Citation Format

Share Document