| Literature DB >> 35158882 |
Sebastian Krug1, Maryam Khosravian1, Julia Weissbach1, Katharina George1, Marko Damm1, Jakob Garbe1, Jens Walldorf1, Philipp A Reuken2, Tania Amin3, Alexander Siebenhüner4, Jonas Rosendahl1, Thomas M Gress5, Patrick Michl1, Jörg Schrader3, Anja Rinke5.
Abstract
The assessment of cancer patient care during the COVID-19 pandemic has been mainly reported from a physician's perspective. Patients with rare tumor entities such as neuroendocrine tumors (NET), which require a complex and specialized care infrastructure, were highly affected by the COVID-19 crisis. Using a structured questionnaire consisting of a general section on the disease and a special COVID-19 section to record medical care, vaccination behavior as well as social and psycho-emotional parameters were collected from NET patients. The survey was distributed via direct medical contact and via the patient organization NETZWERK NeT. A total of 684 patients participated in the survey and 79.2% (n = 542) of the participants answered the questionnaire completely (54 questions). Patient characteristics were comparable to those in large NET registries. The majority of participants were patients with pancreatic and small bowel NET on somatostatin analogue (SSA) therapy. Medical care under COVID-19 was adequate and appointment cancellations and postponements were not common. Nevertheless, the majority of patients were worried about adequate treatment for their tumor disease during the crisis. Most of the participants considered themselves to be at risk of severe COVID-19 infection and were therefore very concerned. This was accompanied by an extremely high vaccination readiness rate of 90%. Increased distress in the social and psycho-emotional domains in the course of the crisis reflected a need for optimization in the medical care of NET patients, although the rate of COVID-19 positive participants was low (3.7%). Therefore, patient-reported measurements are required to identify and address all areas of medical care. Overall, our survey provides an essential contribution to the care of NET patients during the COVID-19 pandemic from the patient's perspective.Entities:
Keywords: COVID-19; NET; SARS-CoV-2; anxiety; neuroendocrine; psychological factors; survey; vaccination; worries
Year: 2022 PMID: 35158882 PMCID: PMC8833713 DOI: 10.3390/cancers14030613
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Clinical characteristics of the participants.
| Therapy | (%) | Surveillance | (%) | All | (%) | |
|---|---|---|---|---|---|---|
| Age | ||||||
| 18–40 | 14 | 3.8 | 8 | 4.6 | 22 | 4.1 |
| 41–60 | 169 | 45.8 | 85 | 49.1 | 254 | 46.9 |
| 61–80 and >80 | 186 | 50.4 | 80 | 46.3 | 266 | 49.0 |
| Tumor localization | ||||||
| small bowel | 148 | 40.1 | 60 | 34.7 | 212 | 39.1 |
| pancreas | 85 | 23.0 | 46 | 26.6 | 134 | 24.7 |
| duodenal | 36 | 9.8 | 14 | 8.1 | 50 | 9.2 |
| lung | 23 | 6.2 | 15 | 8.7 | 41 | 7.6 |
| CUP | 30 | 8.1 | 9 | 5.2 | 42 | 7.8 |
| others | 47 | 12.4 | 29 | 16.6 | 66 | 12.2 |
| Functional active | ||||||
| yes | 159 | 43.1 | 58 | 33.5 | 217 | 40.0 |
| no (+unknown) | 210 | 56.9 | 115 | 66.5 | 325 | 60.0 |
| Symptoms | ||||||
| yes | 269 | 72.9 | 104 | 60.1 | 373 | 68.8 |
| impaired resilience | 179 | 66.5 | 71 | 68.3 | 250 | 67.0 |
| diarrhea | 164 | 60.9 | 57 | 54.8 | 221 | 59.3 |
| flush | 91 | 33.8 | 18 | 17.3 | 109 | 29.2 |
| Time of diagnosis | ||||||
| >5 years | 170 | 46.1 | 80 | 46.2 | 250 | 46.1 |
| 1–5 years | 142 | 38.5 | 79 | 45.7 | 221 | 40.8 |
| <12 months | 57 | 15.4 | 14 | 8.1 | 71 | 13.1 |
| Period from symptoms | ||||||
| <3 months | 79 | 21.4 | 48 | 27.8 | 127 | 23.4 |
| 3–12 months | 79 | 21.4 | 44 | 25.4 | 123 | 22.7 |
| >12 months | 147 | 39.8 | 48 | 27.8 | 195 | 36.0 |
| Therapy | ||||||
| SSA | 201 | 54.5 | - | - | 201 | 54.5 |
| PRRT | 29 | 7.9 | - | - | 29 | 7.9 |
| CTx | 29 | 7.9 | - | - | 29 | 7.9 |
| TKI | 15 | 4.1 | - | - | 16 | 4.3 |
| W & W | 68 | 18.4 | - | - | 68 | 18.4 |
| Treatment setting | ||||||
| ENETS center | 122 | 33.1 | 56 | 32.4 | 178 | 32.8 |
| University Hospital | 136 | 36.9 | 71 | 41.0 | 207 | 38.2 |
| Non-university Hospital | 49 | 13.3 | 15 | 8.7 | 64 | 11.8 |
| Specialist practice | 62 | 16.7 | 31 | 17.9 | 93 | 17.2 |
Abbreviations: CUP, cancer of unknown primary; SSA, somatostatin analogues; PRRT, Peptide Receptor Radionuclide Therapy; CTx, chemotherapy; TKI, tyrosine kinase inhibitors; W & W, watch and wait.
Figure 1COVID-19 impact on patients care. Absolute and relative patients number are presented for impact on treatment or surveillance (1), postponed/canceled outpatients (2), postponed/canceled inpatients (3), postponed/canceled MRI/CT (4), postponed/canceled PET/CT (5), postponed/canceled PRRT (6), postponed/canceled surgery (7), postponed/canceled supportive therapy (8), postponed/canceled chemotherapy (9) and postponed/canceled patient organization appointments (10).
Figure 2Fear of COVID-19 infection categorized by very much fear, much fear, a little fear, no fear and not applicable for inpatients and outpatients. The black arrow indicates the participants with any kind of fear that were hesitant to visit the NET centers, presented in relative and absolute numbers.
Figure 3Subgroup analysis for fear of COVID-19 infections for outpatients and inpatients stratified by symptoms, primary tumor localization (small intestine NET = SI-NET), functional activity (FA), age (years of age) and treatment strategy. The dashed line in (A,B) shows the patient’s fear of COVID-19 infection in the outpatient or inpatient setting.
Figure 4Fear of disease deterioration during the COVID-19 pandemic. The upper panel presents the fear of worsening of NET disease due to the COVID-19 pandemic Represented from left to right: no fear, little fear, much fear and very much fear (shades of grey). The bottom panel shows a subjective worsening of the NET disease due to the COVID-19 pandemic.
Figure 5Psychological factors of NET patients during the COVID-19 crisis. Distribution of the NET patients based on their treatment scheme (A). Presentation of worries about the COVID-19 pandemic (B), risk for severe COVID-19 infection (C) and loneliness due to COVID-19 (D). Psychiatric comorbidities in NET patients before COVID-19 and signs of a depressive disorder during COVID-19 are shown in (E,F).
Characteristics of COVID-19 positive patients.
| Therapy | (%) | Surveillance | (%) | All | (%) | |
|---|---|---|---|---|---|---|
| Age | ||||||
| 18–40 | 2 | 18.2 | - | - | 2 | 10 |
| 41–60 | 4 | 36.4 | 6 | 66.6 | 10 | 50 |
| 61–80 | 5 | 45.4 | 3 | 33.3 | 8 | 40 |
| Tumor localization | ||||||
| small bowel | 5 | 45.4 | 1 | 11.1 | 6 | 30 |
| pancreas | 5 | 45.4 | 5 | 55.6 | 10 | 50 |
| others | 1 | 9.1 | 3 | 33.3 | 4 | |
| Functional active | ||||||
| yes | 3 | 27.3 | 1 | 11.1 | 4 | 20 |
| no (+unknown) | 8 | 72.7 | 8 | 88.9 | 16 | 80 |
| Symptoms | ||||||
| yes | 5 | 45.4 | 7 | 78.8 | 12 | 60 |
| no | 6 | 55.6 | 2 | 22.2 | 8 | 40 |
| Therapy | ||||||
| SSA | 5 | 45.4 | - | - | 5 | 25 |
| PRRT | 2 | 18.2 | - | - | 2 | 10 |
| CTx | 1 | 9.1 | - | - | 1 | 5 |
| TKI | 1 | 9.1 | - | - | 1 | 5 |
| W&W | 2 | 18.2 | - | - | 2 | 10 |
| Comorbidities | ||||||
| diabetes | 1 | 9.1 | 3 | 33.3 | 4 | 20 |
| hypertension | 6 | 55.6 | 5 | 55.6 | 11 | 55 |
| lung disease | 4 | 36.4 | - | - | 4 | 20 |
| chronic renal failure | - | - | 1 | 11.1 | 1 | 5 |
| liver cirrhosis | - | - | 1 | 11.1 | 1 | 5 |
| chronic infections | 1 | 9.1 | 1 | 11.1 | 2 | 10 |
| none | 2 | 18.2 | 1 | 11.1 | 3 | 15 |
| Attributed severe risk for | ||||||
| yes | 7 | 63.6 | 8 | 88.9 | 15 | 75 |
| no | 4 | 36.4 | 1 | 11.1 | 5 | 25 |
| COVID-19 disease course | ||||||
| mild | 5 | 45.4 | 4 | 44.4 | 9 | 45 |
| moderate | 5 | 45.4 | 5 | 55.6 | 10 | 50 |
| severe | 1 | 9.1 | - | - | 1 | 5 |
| Long-term effects of | ||||||
| fatigue | 5 | 45.4 | 4 | 44.4 | 9 | 45 |
| impaired concentration | 3 | 27.3 | 4 | 44.4 | 7 | 35 |
| impaired olfactory/ | 1 | 9.1 | 3 | 33.3 | 4 | 20 |
| insomnia | - | - | 2 | 22.2 | 2 | 10 |
| headaches | 2 | 18.2 | - | - | 2 | 10 |
| Vaccination planned | ||||||
| yes | 9 | 81.8 | 8 | 88.9 | 17 | 85 |
| undecided | 2 | 18.2 | 1 | 11.1 | 3 | 15 |
General questions in white, COVID-19 specific questions in grey, others = 3 × unknown, 1 × lung.
Figure 6Vaccination rate for influenza (within the last 5 years) and SARS-CoV-2 in a control population, patients with irritable bowel disease and NET patients.