ABSTRACT
Background: During the COVID-19 pandemic, care for cancer patients may be disrupted for several reasons, leading to disease progression. Home-Based palliative care, if properly managed, can provide easy and safe access to care services for these patients. This study aimed to explore stakeholders' perceptions of home-based palliative care for cancer patients during the pandemic. Methods: This qualitative study was conducted using conventional content analysis in Tehran, Iran, in 2021. By purposeful sampling, 19 participants, including cancer patients receiving home-based care services from the Iranian Cancer Control Center (MACSA) and their families, as well as the homecare providers, were recruited. The study data were generated by conducting 19 semi-structured interviews and a focus group session and analyzed based on the method proposed by Lundman and Graneheim. Results: Qualitative analysis of the data revealed 5 main categories: "need for remote services”, "disease transmission reduction”, "management requirements”, "burnout”, and "reducing hospital workload.” Conclusion: The use of telemedicine, the existence of call centers, and the designing of appropriate guidelines, along with the help of qualified personnel, prevent the transmission of COVID-19 to cancer patients in-home palliative care and lead to the provision of comprehensive care to these patients. This approach to care helps avert staff burnout and reduces the number of occupied beds in hospitals. © The Author(s), 2023.
ABSTRACT
Duodenal adenocarcinoma (DA) is an extremely rare and highly aggressive malignant tumor of the digestive system. Due to the lack of specific clinical characteristics, it is easy to misdiagnosis and miss diagnosis, and the lack of specific consensus and recommendation for treatment, so it often refers to stomach cancer and colorectal cancer. Now, we report a case of a patient with advanced DA who achieved complete remission (CR) after undergoing chemoradiotherapy combined with targeted therapy. The patient was pathologically diagnosed with DA after radical surgery in October 2020, and he failed to undergo adjuvant chemotherapy on time due to the COVID-19 outbreak. The patient found multiple lymph node liver and abdominal metastases 6 months after the operation. Considering the progression of the disease, XELOX regimen (oxaliplatin + capecitabine) chemotherapy was given for 1 cycle. After 1 cycle of treatment, the tumor markers remained elevated; the carcinoembryonic antigen (CEA) was 5.03 ng/ml (0-5 ng/ml), and the carbohydrate antigen 19-9 (CA19-9) was 747.30 U/ml (0-37 U/ml). The patient also developed intolerable capecitabine-related treatment-related adverse events (TRAEs), namely, hand-foot syndrome. For the above reasons, capecitabine was replaced as S-1 at cycle 2, and the chemotherapy regimen became SOX (oxaliplatin + S-1); bevacizumab injection was also added to the SOX regimen, and it was further treated regularly for 7 cycles with the regimen of SOX plus bevacizumab. Liver metastases showed a continuous narrowing trend throughout the treatment period; tumor markers also showed a downward trend. Finally, the patient achieved complete remission (CR) at cycle 7. After completion of chemotherapy, radiotherapy was administered to the resistant metastatic lymph nodes present in the patient's abdominal cavity for a total of 10 times. However, the patient developed severe bone marrow suppression and obstructive jaundice during the course of radiotherapy and finally failed to complete the radiotherapy plan. Currently, the patient continued maintenance therapy with bevacizumab and S-1 and showed no recurrence or metastasis after review. In this case of advanced DA, we referred to both CRC and gastric cancer in the treatment regimen of the patient. At the same time, targeted drugs and radiotherapy were also added to the basis of chemotherapy, which has no clear consensus recommendation or case for reference in the treatment of advanced DA. Thankfully, the patient's disease was controlled and remained stable after treatment with this regimen. Therefore, for patients with advanced DA who lack standardized treatment regimens and guidelines, the combination of chemotherapy with targeted therapy and radiotherapy may be one of the effective treatment modalities.
ABSTRACT
PURPOSE: While more advanced COVID-19 necessitates medical interventions and hospitalization, patients with mild COVID-19 do not require this. Identifying patients at risk of progressing to advanced COVID-19 might guide treatment decisions, particularly for better prioritizing patients in need for hospitalization. METHODS: We developed a machine learning-based predictor for deriving a clinical score identifying patients with asymptomatic/mild COVID-19 at risk of progressing to advanced COVID-19. Clinical data from SARS-CoV-2 positive patients from the multicenter Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS) were used for discovery (2020-03-16 to 2020-07-14) and validation (data from 2020-07-15 to 2021-02-16). RESULTS: The LEOSS dataset contains 473 baseline patient parameters measured at the first patient contact. After training the predictor model on a training dataset comprising 1233 patients, 20 of the 473 parameters were selected for the predictor model. From the predictor model, we delineated a composite predictive score (SACOV-19, Score for the prediction of an Advanced stage of COVID-19) with eleven variables. In the validation cohort (n = 2264 patients), we observed good prediction performance with an area under the curve (AUC) of 0.73 ± 0.01. Besides temperature, age, body mass index and smoking habit, variables indicating pulmonary involvement (respiration rate, oxygen saturation, dyspnea), inflammation (CRP, LDH, lymphocyte counts), and acute kidney injury at diagnosis were identified. For better interpretability, the predictor was translated into a web interface. CONCLUSION: We present a machine learning-based predictor model and a clinical score for identifying patients at risk of developing advanced COVID-19.