1
|
Opdam M, van Rossum AGJ, Hoogstraat M, Bounova G, Horlings HM, van Werkhoven E, Mandjes IAM, van Leeuwen-Stok AE, Canisius S, van Tinteren H, Imholz ALT, Portielje JEA, Bos MEMM, Bakker S, Wesseling J, Kester L, van Rheenen J, Rutgers EJ, de Menezes RX, Wessels LFA, Kok M, Oosterkamp HM, Linn SC. Predictive gene expression profile for adjuvant taxane benefit in breast cancer in the MATADOR trial. iScience 2024; 27:110425. [PMID: 39206149 PMCID: PMC11357803 DOI: 10.1016/j.isci.2024.110425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 05/10/2024] [Accepted: 06/27/2024] [Indexed: 09/04/2024] Open
Abstract
The primary objective of the prospective, randomized, multicenter, phase 3 biomarker Microarray Analysis in breast cancer to Taylor Adjuvant Drugs Or Regimens trial (MATADOR: ISRCTN61893718) is to generate a gene expression profile that can predict benefit from either docetaxel, doxorubicin, and cyclophosphamide (TAC) or dose-dense scheduled doxorubicin and cyclophosphamide (ddAC). Patients with a pT1-3, pN0-3 tumor were randomized 1:1 between ddAC and TAC. The primary endpoint was a gene profile-treatment interaction for recurrence-free survival (RFS). We observed 117 RFS events in 664 patients with a median follow-up of 7 years. Hallmark gene set analyses showed significant association between enrichment in immune-related gene expression and favorable outcome after TAC in hormone receptor-negative, human epidermal growth factor receptor 2 (HER2)-negative breast cancer (BC) (triple-negative breast cancer [TNBC]). We validated this association in TNBC patients treated with TAC on H&E slides; stromal tumor-infiltrating lymphocytes (sTILs) ≥20% was associated with longer RFS (hazard ratio 0.18, p = 0.01), while in patients treated with ddAC no difference in RFS was seen (hazard ratio 0.92, p = 0.86, p interaction = 0.02).
Collapse
Affiliation(s)
- Mark Opdam
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Annelot G J van Rossum
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Marlous Hoogstraat
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Gergana Bounova
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Hugo M Horlings
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Erik van Werkhoven
- Biometrics department, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Ingrid A M Mandjes
- Data center, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | | | - Sander Canisius
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Harm van Tinteren
- Biometrics department, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Alex L T Imholz
- Department of Medical Oncology, Deventer Ziekenhuis, Deventer, the Netherlands
| | - Johanneke E A Portielje
- Department of Medical Oncology, HagaZiekenhuis, The Hague, the Netherlands
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - Monique E M M Bos
- Department of Internal Oncology, Reinier de Graaf Gasthuis, Delft, the Netherlands
| | - Sandra Bakker
- Department of Medical Oncology, Zaans Medisch Centrum, Zaandam, the Netherlands
| | - Jelle Wesseling
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lennart Kester
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Jacco van Rheenen
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Emiel J Rutgers
- Department of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Renee X de Menezes
- Biostatistics Centre, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Lodewyk F A Wessels
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, the Netherlands
| | - Marleen Kok
- Division of Tumor biology & Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Hendrika M Oosterkamp
- Department of Medical Oncology, Haaglanden Medisch Centrum, The Hague, the Netherlands
| | - Sabine C Linn
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Pathology, University Medical Center, Utrecht, the Netherlands
| |
Collapse
|
2
|
Yoshikawa GT, Miyazaki KSY, Acoba JD, Fujii T. Racial and survival disparities in inflammatory breast cancer (IBC) and non-IBC: a population-based study focused on Native Hawaiians and other Pacific Islanders. Front Oncol 2024; 14:1390080. [PMID: 38826792 PMCID: PMC11140018 DOI: 10.3389/fonc.2024.1390080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/30/2024] [Indexed: 06/04/2024] Open
Abstract
Background It is well known that race is an independent predictor of breast cancer mortality and advanced stage at diagnosis. Inflammatory breast cancer (IBC) is the most aggressive type of breast cancer and has distinct clinical and biological features. Previous studies have shown that Blacks have a higher incidence of IBC than Whites. However, the proportion of IBC and the role of race on prognosis in Native Hawaiian and other Pacific Islander (NH/PI) populations with breast cancer are poorly understood. In this study, we aimed to examine the proportion of IBC to non-IBC in NH/PIs and to identify the clinicopathological, biological, and socioeconomic factors associated with the overall survival of NH/PIs compared to other races. Methods Utilizing a comprehensive cancer registry from the largest hospital in Hawaii, newly diagnosed primary invasive breast cancer patients diagnosed between 2000 and 2018 were identified. Univariate and multivariate Cox proportional hazards models were used to test the association between race and clinical outcomes. Variables with P-values <0.05 in the univariate analysis and race (variable of interest) were included in a multivariate analysis. Results The cohort included 3691 patients, 60 of whom had IBC. NH/PI race had the highest proportion of IBC compared to other races (3.44%) but was not found to be an independent poor prognostic factor in IBC (HR 1.17 [95%CI 0.26-5.22]). Conversely, NH/PI race was associated with worse survival outcomes in patients with non-IBC (HR 1.65 [95%CI, 1.14-2.39]) along with other factors such as lack of insurance, underinsured status, triple-negative breast cancer (TNBC) subtype, age, and advanced clinical stage. Conclusions The findings of this study highlight that NH/PIs had higher rates of IBC and inferior survival in non-IBC compared to other races but not in IBC. It is essential to disaggregate NH/PI race from Asians in future population-based research studies. Further research is needed to understand the factors contributing to higher rates of IBC and poor survival outcomes in NH/PIs with non-IBC as well as targeted interventions to improve breast cancer outcomes in this population to ultimately help improve survival rates and reduce health inequities in NH/PIs with breast cancer.
Collapse
Affiliation(s)
- Gene T. Yoshikawa
- Department of Medicine, University of Hawai’i Internal Medicine Residency Program, Honolulu, HI, United States
- John A. Burns School of Medicine, University of Hawai’i at Manoa, Honolulu, HI, United States
| | - Kyle SY. Miyazaki
- Department of Medicine, University of Hawai’i Internal Medicine Residency Program, Honolulu, HI, United States
- John A. Burns School of Medicine, University of Hawai’i at Manoa, Honolulu, HI, United States
| | - Jared D. Acoba
- John A. Burns School of Medicine, University of Hawai’i at Manoa, Honolulu, HI, United States
- Cancer Biology Program, Translational and Clinical Research, University of Hawai’i Cancer Center, Honolulu, HI, United States
| | - Takeo Fujii
- John A. Burns School of Medicine, University of Hawai’i at Manoa, Honolulu, HI, United States
- Cancer Biology Program, Translational and Clinical Research, University of Hawai’i Cancer Center, Honolulu, HI, United States
- Women’s Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| |
Collapse
|
3
|
Liu GY, Lu N, Bei WX, Li WZ, Liang H, Xia WX, Xiang YQ, Yao HR. Development of a prognostic model to identify the metastatic nasopharyngeal carcinoma patients who may benefit from chemotherapy combination PD-1 inhibitor. Front Immunol 2023; 14:1069010. [PMID: 36733479 PMCID: PMC9887186 DOI: 10.3389/fimmu.2023.1069010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 01/03/2023] [Indexed: 01/18/2023] Open
Abstract
Background We aimed to establish a prognostic model to identify suitable candidates for chemotherapy combination PD-1 inhibitor in metastatic nasopharyngeal carcinoma (NPC) patients. Patients and methods In this retrospective study, we included 524 patients (192 patients treated with chemotherapy combination PD-1 inhibitor and 332 received chemotherapy alone as first-line regimen) with metastatic NPC between January 2015 and March 2021. We developed a prognostic model to predict progression-free survival (PFS). A model-based trees approach was applied to estimate stratified treatment effects using prognostic scores and two well-matched risk groups (low-risk and high-risk) were created using propensity score matching. Results A prognostic nomogram was established with good accuracy for predicting PFS (c-index values of 0.71; 95% confidence interval, 0.66-0.73). The survival curves were significantly different between low-risk and high-risk groups (median PFS: 9.8 vs. 22.8 months, P < 0.001, respectively). After propensity matching analysis, chemotherapy combination PD-1 inhibitor was significantly associated with superior PFS as compared with chemotherapy alone (median PFS, 10.6 versus 9.3 months, P = 0.016) in the high-risk group. However, no significant difference between chemotherapy combination PD-1 inhibitor and chemotherapy was observed (P = 0.840) in the low-risk groups. Conclusions Our novel prognostic model was able to stratify patients with metastatic NPC into low-risk or high-risk groups and identify candidates for PD-1 inhibitor therapy. These results are expected to be confirmed by a prospective clinical trial.
Collapse
Affiliation(s)
- Guo-Ying Liu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Department of Radiotherapy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Nian Lu
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Wei-Xin Bei
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Wang-Zhong Li
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Hu Liang
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Wei-Xiong Xia
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yan-Qun Xiang
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - He-Rui Yao
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| |
Collapse
|
4
|
van Maaren MC, Rachet B, Sonke GS, Mauguen A, Rondeau V, Siesling S, Belot A. Socioeconomic status and its relation with breast cancer recurrence and survival in young women in the Netherlands. Cancer Epidemiol 2022; 77:102118. [PMID: 35131686 PMCID: PMC9422085 DOI: 10.1016/j.canep.2022.102118] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/06/2022] [Accepted: 01/27/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Associations between socioeconomic status (SES) and breast cancer survival are most pronounced in young patients. We further investigated the relation between SES, subsequent recurrent events and mortality in breast cancer patients < 40 years. Using detailed data on all recurrences that occur between date of diagnosis of the primary tumor and last observation, we provide a unique insight in the prognosis of young breast cancer patients according to SES. METHODS All women < 40 years diagnosed with primary operated stage I-III breast cancer in 2005 were selected from the nationwide population-based Netherlands Cancer Registry. Data on all recurrences within 10 years from primary tumor diagnosis were collected directly from patient files. Recurrence patterns and absolute risks of recurrence, contralateral breast cancer (CBC) and mortality - accounting for competing risks - were analysed according to SES. Relationships between SES, recurrence patterns and excess mortality were estimated using a multivariable joint model, wherein the association between recurrent events and excess mortality (expected mortality derived from the general population) was included. RESULTS We included 525 patients. The 10-year recurrence risk was lowest in high SES (18.1%), highest in low SES (29.8%). Death and CBC as first events were rare. In high, medium and low SES 13.2%, 15.3% and 19.1% died following a recurrence. Low SES patients had shorter median time intervals between diagnosis, first recurrence and 10-year mortality (2.6 and 2.7 years, respectively) compared to high SES (3.5 and 3.3 years, respectively). In multivariable joint modeling, high SES was significantly related to lower recurrence rates over 10-year follow-up, compared to low SES. A strong association between the recurrent event process and excess mortality was found. CONCLUSIONS High SES is associated with lower recurrence risks, less subsequent events and better prognosis after recurrence over 10 years than low SES. Breast cancer risk factors, adjuvant treatment adherence and treatment of recurrence may possibly play a role in this association.
Collapse
Affiliation(s)
- Marissa C van Maaren
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands; Department of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
| | - Bernard Rachet
- Inequalities in Cancer Outcomes Network (ICON), Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
| | - Gabe S Sonke
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Audrey Mauguen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, United States.
| | - Virginie Rondeau
- INSERM U1219, Biostatistics team, University of Bordeaux, Bordeaux, France.
| | - Sabine Siesling
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands; Department of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
| | - Aurélien Belot
- Inequalities in Cancer Outcomes Network (ICON), Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
| |
Collapse
|
5
|
Seifart U. [Socioeconomic risks for people with cancer-possible consequences and assistance]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2022; 65:439-445. [PMID: 35303123 DOI: 10.1007/s00103-022-03510-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 02/17/2022] [Indexed: 11/28/2022]
Abstract
Due to therapeutic progress, about 60% of all cancer patients currently survive their disease more than five years. These long-term survivors can be described as cured, but not as healthy. In particular, reduced performance and an associated reduction in working hours, loss of job, or an early retirement can lead to socioeconomic consequences. On average, tumor patients in Germany lose up to 26% of their income, although this does not seem to be necessarily linked to the stage of the disease and thus the corresponding prognosis. Due to objective and subjective financial burdens, a so-called "financial toxicity" can develop, which can have a significant impact on the quality of life and possibly also on the prognosis of the disease.In this article, the socioeconomic risks associated with cancer are presented as well as possible patient assistance and offers. This presentation intends to illustrate how financial toxicity in cancer can be prevented or alleviated. As far as scientific findings are available, they will be described and discussed.Finally, the special situation of young adults with cancer is explained, for whom many of the above-mentioned support measures are not or only partially possible.
Collapse
Affiliation(s)
- Ulf Seifart
- Klinik Sonnenblick, Amöneburger Str. 1-6, 35043, Marburg, Deutschland.
| |
Collapse
|
6
|
Westphal T, Gampenrieder SP, Rinnerthaler G, Balic M, Posch F, Dandachi N, Hauser-Kronberger C, Reitsamer R, Sotlar K, Radl B, Suppan C, Stöger H, Greil R. Transferring MINDACT to Daily Routine: Implementation of the 70-Gene Signature in Luminal Early Breast Cancer - Results from a Prospective Registry of the Austrian Group Medical Tumor Therapy (AGMT). Breast Care (Basel) 2022; 17:1-9. [PMID: 35355702 PMCID: PMC8914232 DOI: 10.1159/000512467] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 10/21/2020] [Indexed: 02/03/2023] Open
Abstract
Background For hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative early breast cancer (EBC), adjuvant chemotherapy (ACT) is recommended in the case of high-risk features only. The MINDACT trial showed that patients with high clinical risk (CR) but low genomic risk (GR) defined by the 70-gene signature (MammaPrint®; 70-GS) did not benefit from ACT. In this registry, we investigated the frequency and feasibility of 70-GS and concurrent 80-gene subtyping (BluePrint®) use in HR-positive, HER2-negative EBC. Furthermore, we recorded the frequency of ACT recommendation and the adherence to it when the "MINDACT strategy" was used. Methods This prospective registry included patients from 2 Austrian cancer centers. Similar to MINDACT, a modified version of Adjuvant!Online was used to determine CR, and 70-GC was used to determine GR in high-CR patients. ACT was recommended to patients with high CR and high GR. Results Of 224 enrolled patients, 76 (33.9%) had high CR and 67 (88.2%) received genomic testing. Of those, 43 (64.2%) were classified as low and 24 (35.8%) as high GR, respectively. All 24 patients with high CR and GR (10.7% of all patients) received the recommendation for ACT, but ACT was started in only 15 patients (62.5%). The median time from surgery to the start of ACT was 45 days (range 32-68), and the median time from test decision to the test result was 15 days (range 9-56). Conclusion We showed that the results of the MINDACT trial are reproducible in an Austrian population. Incorporating 70-GS into the daily clinical routine is feasible and mostly accepted by physicians for the guidance of treatment recommendations.
Collapse
Affiliation(s)
- Theresa Westphal
- IIIrd Medical Department with Hematology and Medical Oncology, Oncologic Center, Paracelsus Medical University Salzburg, Salzburg, Austria,Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research and Center for Clinical Cancer and Immunology Trials, Salzburg, Austria
| | - Simon P. Gampenrieder
- IIIrd Medical Department with Hematology and Medical Oncology, Oncologic Center, Paracelsus Medical University Salzburg, Salzburg, Austria,Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research and Center for Clinical Cancer and Immunology Trials, Salzburg, Austria,Cancer Cluster Salzburg, Salzburg, Austria
| | - Gabriel Rinnerthaler
- IIIrd Medical Department with Hematology and Medical Oncology, Oncologic Center, Paracelsus Medical University Salzburg, Salzburg, Austria,Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research and Center for Clinical Cancer and Immunology Trials, Salzburg, Austria,Cancer Cluster Salzburg, Salzburg, Austria
| | - Marija Balic
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Florian Posch
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Nadia Dandachi
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Cornelia Hauser-Kronberger
- Pathologic Institute of the University Hospital Salzburg, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Roland Reitsamer
- University Clinic for Special Gynecology of the University Hospital Salzburg, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Karl Sotlar
- Pathologic Institute of the University Hospital Salzburg, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Bianca Radl
- IIIrd Medical Department with Hematology and Medical Oncology, Oncologic Center, Paracelsus Medical University Salzburg, Salzburg, Austria,Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research and Center for Clinical Cancer and Immunology Trials, Salzburg, Austria
| | - Christoph Suppan
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Herbert Stöger
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Richard Greil
- IIIrd Medical Department with Hematology and Medical Oncology, Oncologic Center, Paracelsus Medical University Salzburg, Salzburg, Austria,Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research and Center for Clinical Cancer and Immunology Trials, Salzburg, Austria,Cancer Cluster Salzburg, Salzburg, Austria,*Richard Greil IIIrd Medical Department Paracelsus Medical University Salzburg Müllner Hauptstrasse 48, AT-5020 Salzburg (Austria)
| |
Collapse
|
7
|
Luijten JCHBM, Nieuwenhuijzen GAP, Sosef MN, de Hingh IHJT, Rosman C, Ruurda JP, van Duijvendijk P, Heisterkamp J, de Steur WO, van Laarhoven HWM, Besselink MG, Groot Koerkamp B, van Santvoort HC, Lemmens VEP, Vissers PAJ. Impact of nationwide centralization of oesophageal, gastric, and pancreatic surgery on travel distance and experienced burden in the Netherlands. Eur J Surg Oncol 2021; 48:348-355. [PMID: 34366174 DOI: 10.1016/j.ejso.2021.07.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/20/2021] [Accepted: 07/29/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND This study aims to assess the impact of nationwide centralization of surgery on travel distance and travel burden among patients with oesophageal, gastric, and pancreatic cancer according to age in the Netherlands. As centralization of care increases to improve postoperative outcomes, travel distance and experienced burden might increase. MATERIALS AND METHODS All patients who underwent surgery between 2006 and 2017 for oesophageal, gastric and pancreatic cancer in the Netherlands were included. Travel distance between patient's home address and hospital of surgery in kilometres was calculated. Questionnaires were used to assess experienced travel burden in a subpopulation (n = 239). Multivariable ordinal logistic regression models were constructed to identify predictors for longer travel distance. RESULTS Over 23,838 patients were included, in whom median travel distance for surgical care increased for oesophageal cancer (n = 9217) from 18 to 28 km, for gastric cancer (n = 6743) from 9 to 26 km, and for pancreatic cancer (n = 7878) from 18 to 25 km (all p < 0.0001). Multivariable analyses showed an increase in travel distance for all cancer types over time. In general, patients experienced a physical and social burden, and higher financial costs, due to traveling extra kilometres. Patients aged >70 years travelled less often independently (56% versus 68%), as compared to patients aged ≤70 years. CONCLUSION With nationwide centralization, travel distance increased for patients undergoing oesophageal, gastric, and pancreatic cancer surgery. Younger patients travelled longer distances and experienced a lower travel burden, as compared to elderly patients. Nevertheless, on a global scale, travel distances in the Netherlands remain limited.
Collapse
Affiliation(s)
- J C H B M Luijten
- Department of Research & Development, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, the Netherlands
| | | | - M N Sosef
- Department of Surgery, Zuyderland Hospital, Heerlen, the Netherlands
| | - I H J T de Hingh
- Department of Surgery, Catharina Hospital, Eindhoven, the Netherlands
| | - C Rosman
- Department of Surgery, Radboudumc, Nijmegen, the Netherlands
| | - J P Ruurda
- Department of Surgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | - J Heisterkamp
- Department of Surgery, Elisabeth Tweesteden Hospital, Tilburg, Embraze Regional Cancer Network, the Netherlands
| | - W O de Steur
- Department of Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| | - H W M van Laarhoven
- Department of Medical Oncology, Cancer Centre Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - M G Besselink
- Department of Surgery, Cancer Centre Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - B Groot Koerkamp
- Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - H C van Santvoort
- Department of Surgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Surgery, Sint. Antonius, Nieuwegein, the Netherlands
| | - V E P Lemmens
- Department of Research & Development, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, the Netherlands; Department of Public Health, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - P A J Vissers
- Department of Research & Development, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, the Netherlands.
| |
Collapse
|
8
|
Gómez-Acebo I, Dierssen-Sotos T, Mirones M, Pérez-Gómez B, Guevara M, Amiano P, Sala M, Molina AJ, Alonso-Molero J, Moreno V, Suarez-Calleja C, Molina-Barceló A, Alguacil J, Marcos-Gragera R, Fernández-Ortiz M, Sanz-Guadarrama O, Castaño-Vinyals G, Gil-Majuelo L, Moreno-Iribas C, Aragonés N, Kogevinas M, Pollán M, Llorca J. Adequacy of early-stage breast cancer systemic adjuvant treatment to Saint Gallen-2013 statement: the MCC-Spain study. Sci Rep 2021; 11:5375. [PMID: 33686151 PMCID: PMC7970883 DOI: 10.1038/s41598-021-84825-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 01/20/2021] [Indexed: 11/27/2022] Open
Abstract
The St Gallen Conference endorsed in 2013 a series of recommendations on early breast cancer treatment. The main purpose of this article is to ascertain the clinical factors associated with St Gallen-2013 recommendations accomplishment. A cohort of 1152 breast cancer cases diagnosed with pathological stage < 3 in Spain between 2008 and 2013 was begun and then followed-up until 2017/2018. Data on patient and tumour characteristics were obtained from medical records, as well as their first line treatment. First line treatments were classified in three categories, according on whether they included the main St Gallen-2013 recommendations, more than those recommended or less than those recommended. Multinomial logistic regression models were carried out to identify factors associated with this classification and Weibull regression models were used to find out the relationship between this classification and survival. About half of the patients were treated according to St Gallen recommendations; 21% were treated over what was recommended and 33% received less treatment than recommended. Factors associated with treatment over the recommendations were stage II (relative risk ratio [RRR] = 4.2, 2.9-5.9), cancer positive to either progesterone (RRR = 8.1, 4.4-14.9) or oestrogen receptors (RRR = 5.7, 3.0-11.0). Instead, factors associated with lower probability of treatment over the recommendations were age (RRR = 0.7 each 10 years, 0.6-0.8), poor differentiation (RRR = 0.09, 0.04-0.19), HER2 positive (RRR = 0.46, 0.26-0.81) and triple negative cancer (RRR = 0.03, 0.01-0.11). Patients treated less than what was recommended in St Gallen had cancers in stage 0 (RRR = 21.6, 7.2-64.5), poorly differentiated (RRR = 1.9, 1.2-2.9), HER2 positive (RRR = 3.4, 2.4-4.9) and luminal B-like subtype (RRR = 3.6, 2.6-5.1). Women over 65 years old had a higher probability of being treated less than what was recommended if they had luminal B-like, HER2 or triple negative cancer. Treatment over St Gallen was associated with younger women and less severe cancers, while treatment under St Gallen was associated with older women, more severe cancers and cancers expressing HER2 receptors.
Collapse
Affiliation(s)
- Inés Gómez-Acebo
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
- Universidad de Cantabria, Santander, Spain.
- IDIVAL, Santander, Spain.
- Medicina Preventiva y Salud Pública, Facultad de Medicina, Avda. Herrera Oria s/n, 39011, Santander, Cantabria, Spain.
| | - Trinidad Dierssen-Sotos
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universidad de Cantabria, Santander, Spain
- IDIVAL, Santander, Spain
| | | | - Beatriz Pérez-Gómez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Marcela Guevara
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Pilar Amiano
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Ministry of Health of the Basque Government, San Sebastian, Spain
| | - Maria Sala
- Department of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Barcelona, Spain
| | - Antonio J Molina
- Grupo de Investigación en Interacción Gen-Ambiente-Salud (GIIGAS), Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | | | - Victor Moreno
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Claudia Suarez-Calleja
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias-ISPA, Oviedo, Spain
- IUOPA, Universidad de Oviedo, Oviedo, Spain
| | | | - Juan Alguacil
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente (RENSMA), Universidad de Huelva, Huelva, Spain
| | - Rafael Marcos-Gragera
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain
| | | | - Oscar Sanz-Guadarrama
- Servicio de Cirugía General, Unidad de Mama, Complejo Asistencial Universitario de León, León, Spain
| | - Gemma Castaño-Vinyals
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Leire Gil-Majuelo
- Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Ministry of Health of the Basque Government, San Sebastian, Spain
| | - Conchi Moreno-Iribas
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Nuria Aragonés
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Epidemiology Section, Public Health Division, Department of Health, Madrid, Spain
| | - Manolis Kogevinas
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Marina Pollán
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Javier Llorca
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universidad de Cantabria, Santander, Spain
| |
Collapse
|
9
|
Comment on "The Relationship Between Lymph Node Ratio and Survival Benefit With Adjuvant Chemotherapy in Node-positive Esophageal Adenocarcinoma". Ann Surg 2020; 274:e845-e846. [PMID: 33351456 DOI: 10.1097/sla.0000000000004668] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
10
|
Development of a Prognostic Model to Identify the Suitable Definitive Radiation Therapy Candidates in de Novo Metastatic Nasopharyngeal Carcinoma: A Real-World Study. Int J Radiat Oncol Biol Phys 2020; 109:120-130. [PMID: 32853711 DOI: 10.1016/j.ijrobp.2020.08.045] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 08/07/2020] [Accepted: 08/19/2020] [Indexed: 12/24/2022]
Abstract
PURPOSE We aimed to develop an accurate prognostic model to identify suitable candidates for definitive radiation therapy (DRT) in addition to palliative chemotherapy (PCT) among patients with de novo metastatic nasopharyngeal carcinoma (mNPC). METHODS AND MATERIALS Patients with de novo mNPC who received first-line PCT with or without DRT were included. Overall survival for patients who received PCT alone versus PCT plus DRT was estimated using inverse probability of treatment weighting-adjusted survival analyses. We developed and validated a prognostic model to predict survival and stratify risks in de novo mNPC. A model-based trees approach was applied to estimate stratified treatment effects using prognostic scores obtained from the prognostic model and to identify suitable DRT candidates. Dominance analysis was used to determine the relative importance of each predictor of receiving DRT. RESULTS A total of 460 patients were enrolled; 244 received PCT plus DRT and 216 received PCT alone. The 6-month conditional landmark, inverse probability of treatment weighting-adjusted Cox regression analysis showed that PCT plus DRT was associated with a significant survival benefit (hazard ratio: 0.516; 95% confidence interval, 0.403-0.660; P < .001). A prognostic model based on 5 independent prognostic factors, including serum lactate dehydrogenase, number of metastatic sites, presence of liver metastasis, posttreatment Epstein-Barr virus DNA level, and response of metastases to chemotherapy was developed and subsequently validated. Prognostic scores obtained from the prognostic model were used for risk stratification and efficacy estimation. High-risk patients identified using the proposed model would not benefit from additional DRT, whereas low-risk patients experienced significant survival benefits. Socioeconomic factors, including insurance status and education level, played an important role in receipt of DRT. CONCLUSIONS Additional DRT after PCT was associated with increased overall survival in patients with de novo mNPC, especially low-risk patients identified with a newly developed prognostic model.
Collapse
|
11
|
Niño de Guzmán E, Song Y, Alonso-Coello P, Canelo-Aybar C, Neamtiu L, Parmelli E, Pérez-Bracchiglione J, Rabassa M, Rigau D, Parkinson ZS, Solà I, Vásquez-Mejía A, Ricci-Cabello I. Healthcare providers' adherence to breast cancer guidelines in Europe: a systematic literature review. Breast Cancer Res Treat 2020; 181:499-518. [PMID: 32378052 PMCID: PMC7220981 DOI: 10.1007/s10549-020-05657-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 04/27/2020] [Indexed: 12/19/2022]
Abstract
Purpose Clinical guidelines’ (CGs) adherence supports high-quality care. However, healthcare providers do not always comply with CGs recommendations. This systematic literature review aims to assess the extent of healthcare providers’ adherence to breast cancer CGs in Europe and to identify the factors that impact on healthcare providers’ adherence. Methods We searched for systematic reviews and quantitative or qualitative primary studies in MEDLINE and Embase up to May 2019. The eligibility assessment, data extraction, and risk of bias assessment were conducted by one author and cross-checked by a second author. We conducted a narrative synthesis attending to the modality of the healthcare process, methods to measure adherence, the scope of the CGs, and population characteristics. Results Out of 8137 references, we included 41 primary studies conducted in eight European countries. Most followed a retrospective cohort design (19/41; 46%) and were at low or moderate risk of bias. Adherence for overall breast cancer care process (from diagnosis to follow-up) ranged from 54 to 69%; for overall treatment process [including surgery, chemotherapy (CT), endocrine therapy (ET), and radiotherapy (RT)] the median adherence was 57.5% (interquartile range (IQR) 38.8–67.3%), while for systemic therapy (CT and ET) it was 76% (IQR 68–77%). The median adherence for the processes assessed individually was higher, ranging from 74% (IQR 10–80%), for the follow-up, to 90% (IQR 87–92.5%) for ET. Internal factors that potentially impact on healthcare providers’ adherence were their perceptions, preferences, lack of knowledge, or intentional decisions. Conclusions A substantial proportion of breast cancer patients are not receiving CGs-recommended care. Healthcare providers’ adherence to breast cancer CGs in Europe has room for improvement in almost all care processes. CGs development and implementation processes should address the main factors that influence healthcare providers' adherence, especially patient-related ones. Registration: PROSPERO (CRD42018092884). Electronic supplementary material The online version of this article (10.1007/s10549-020-05657-8) contains supplementary material, which is available to authorised users.
Collapse
Affiliation(s)
- Ena Niño de Guzmán
- Iberoamerican Cochrane Centre - Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Sant Antonio María Claret 167, 08025, Barcelona, Spain.
| | - Yang Song
- Iberoamerican Cochrane Centre - Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Sant Antonio María Claret 167, 08025, Barcelona, Spain
| | - Pablo Alonso-Coello
- Iberoamerican Cochrane Centre - Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Sant Antonio María Claret 167, 08025, Barcelona, Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Carlos Canelo-Aybar
- Iberoamerican Cochrane Centre - Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Sant Antonio María Claret 167, 08025, Barcelona, Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Luciana Neamtiu
- European Commission, Joint Research Centre (JRC), Via E. Fermi 2749, 21027, Ispra, VA, Italy.
| | - Elena Parmelli
- European Commission, Joint Research Centre (JRC), Via E. Fermi 2749, 21027, Ispra, VA, Italy
| | | | - Montserrat Rabassa
- Iberoamerican Cochrane Centre - Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Sant Antonio María Claret 167, 08025, Barcelona, Spain
| | - David Rigau
- Iberoamerican Cochrane Centre - Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Sant Antonio María Claret 167, 08025, Barcelona, Spain
| | - Zuleika Saz Parkinson
- European Commission, Joint Research Centre (JRC), Via E. Fermi 2749, 21027, Ispra, VA, Italy
| | - Iván Solà
- Iberoamerican Cochrane Centre - Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Sant Antonio María Claret 167, 08025, Barcelona, Spain
| | - Adrián Vásquez-Mejía
- Facultad de Medicina Humana, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Ignacio Ricci-Cabello
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Balearic Islands Health Research Institute (IdISBa), Palma, Spain.,Primary Care Research Unit of Mallorca, Balearic Islands Health Service, Palma, Spain
| |
Collapse
|
12
|
Ji P, Gong Y, Jiang CC, Hu X, Di GH, Shao ZM. Association between socioeconomic factors at diagnosis and survival in breast cancer: A population-based study. Cancer Med 2020; 9:1922-1936. [PMID: 31960597 PMCID: PMC7050085 DOI: 10.1002/cam4.2842] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 11/17/2019] [Accepted: 12/30/2019] [Indexed: 12/12/2022] Open
Abstract
Background The associations between socioeconomic statuses and survival outcomes of breast cancer remain unclear. No model has included both histological and socioeconomic factors to predict the survival of breast cancer. This study was designed to develop nomograms to predict breast cancer–specific survival (BCSS) and overall survival (OS) with consideration of socioeconomic factors for breast cancer patients. Materials and methods We included a total of 207 749 female patients, diagnosed with malignant breast cancer between 2007 and 2012 from the Surveillance, Epidemiology, and End Results database. BCSS and OS were evaluated with Gray's test and log‐rank tests, respectively. Marital statuses, insurance statuses, residence, median household income, poverty rate, unemployment rate, and education level were included as socioeconomic factors in univariate and multivariate Cox regression analyses. Clinicopathological factors and socioeconomic factors were integrated to construct nomograms. Calibration plots and concordance indexes (C‐indexes) were used to evaluate the accuracy and discrimination of the models. Results Four and three socioeconomic factors were involved in constructing the nomograms for 3‐, 5‐, and 7‐year BCSS and OS, respectively. The C‐indexes of the final nomograms were higher than those of the TNM staging system for predicting BCSS (0.835 vs 0.782; P < .001) and OS (0.773 vs 0.676; P < .001). The performance of the nomograms for predicting OS was significantly lower when excluding socioeconomic factors (P < .001). Conclusion These findings may highlight the importance of developing health‐related policies and the necessity of targeted social support‐based interventions for high‐risk patients.
Collapse
Affiliation(s)
- Peng Ji
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yue Gong
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chang-Chuan Jiang
- Department of Medicine, Icahn School of Medicine at Mount Sinai, Mt Sina St. Luke's and Mt Sinai West Hospital, New York, NY, USA
| | - Xin Hu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Gen-Hong Di
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Zhi-Ming Shao
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Institutes of Biomedical Science, Fudan University, Shanghai, China
| |
Collapse
|
13
|
Guideline compliance for bridging anticoagulation use in vitamin-K antagonist patients; practice variation and factors associated with non-compliance. Thromb J 2019; 17:15. [PMID: 31391790 PMCID: PMC6681479 DOI: 10.1186/s12959-019-0204-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 06/26/2019] [Indexed: 12/18/2022] Open
Abstract
Background Bridging anticoagulation is used in vitamin-K antagonist (VKA) patients undergoing invasive procedures and involves complex risk assessment in order to prevent thromboembolic and bleeding outcomes. Objectives Our aim was to assess guideline compliance and identify factors associated with bridging and especially, non-compliant bridging. Methods A retrospective review of 256 patient records in 13 Dutch hospitals was performed. Demographic, clinical, surgical and care delivery characteristics were collected. Compliance to the American College of Chest Physicians ninth edition guideline (AT9) was assessed. Multilevel regression models were built to explain bridging use and predict non-compliance. Results Bridging use varied from 15.0 to 83.3% (mean = 41.8%) of patients per hospital, whereas guideline compliance varied from 20.0 to 88.2% (mean = 68.5%) per hospital. Both established thromboembolic risk factors and characteristics outside thromboembolic risk assessment were associated with bridging use. Predictors for overuse were gastrointestinal surgery (OR 14.85, 95% CI 2.69-81.99), vascular surgery (OR 13.01, 95% CI 1.83-92.30), non-elective surgery (OR 8.67, 95% CI 1.67-45.14), lowest 25th percentile socioeconomic status (OR 0.33, 95% CI 0.11-1.02) and use of VKA reversal agents (OR 0.22, 95% CI 0.04-1.16). Conclusion Bridging anticoagulation practice was not compliant with the AT9 in 31.5% of patients. The aggregated AT9 thromboembolic risk was inferior to individual thromboembolic risk factors and other characteristics in explaining bridging use. Therefor the AT9 risk seems less important for the decision making in everyday practice. Additionally, a heterogeneous implementation of the guideline between hospitals was found. Further research and interventions are needed to improve bridging anticoagulation practice in VKA patients.
Collapse
|