| Literature DB >> 32391282 |
Filippo de Marinis1, Ilaria Attili1, Stefania Morganti2,3, Valeria Stati1, Gianluca Spitaleri1, Letizia Gianoncelli1, Ester Del Signore1, Chiara Catania1, Cristiano Rampinelli4, Emanuela Omodeo Salè5, Lorenzo Spaggiari3,6, Fabrizio Mastrilli7, Antonio Passaro1.
Abstract
A novel coronavirus causing severe acute respiratory syndrome (SARS), named SARS-CoV-2, was identified at the end of 2019. The spread of coronavirus disease 2019 (COVID-19) has progressively expanded from China, involving several countries throughout the world, leading to the classification of the disease as a pandemic by the World Health Organization (WHO). According to published reports, COVID-19 severity and mortality are higher in elderly patients and those with active comorbidities. In particular, lung cancer patients were reported to be at high risk of pulmonary complications related to SARS-CoV2 infection. Therefore, the management of cancer care during the COVID-19 pandemic is a crucial issue, to which national and international oncology organizations have replied with recommendations concerning patients receiving anticancer treatments, delaying follow-up visits and limiting caregiver admission to the hospitals. In this historical moment, medical oncologists are required to consider the possibility to delay active treatment administration based on a case-by-case risk/benefit evaluation. Potential risks associated with COVID-19 infection should be considered, considering tumor histology and natural course, disease setting, clinical conditions, and disease burden, together with the expected benefit, toxicities (e.g., myelosuppression or interstitial lung disease), and response obtained from the planned or ongoing treatment. In this study, we report the results of proactive measures including social media, telemedicine, and telephone triage for screening patients with lung cancer during the COVID-19 outbreak in the European Institute of Oncology (Milan, Italy). Proactive management and containment measures, applied in a structured and daily way, has significantly aided the identification of advance patients with suspected symptoms related to COVID-19, limiting their admission to our cancer center; we have thus been more able to protect other patients from possible contamination and at the same time guarantee to the suspected patients the immediate treatment and evaluation in referral hospitals for COVID-19.Entities:
Keywords: COVID-19; cancer; containment measures; coronavirus; lung cancer
Year: 2020 PMID: 32391282 PMCID: PMC7188943 DOI: 10.3389/fonc.2020.00665
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Clinical characteristics of study population.
| Age | Median (Q1-Q3) | 67 (59–73) |
| <65 yrs | 132 (40.6%) | |
| 65-75 yrs | 135 (41.5%) | |
| ≥ 75 yrs | 58 (17.9%) | |
| Gender | Male | 164 (50.5%) |
| Female | 161 (49.5%) | |
| Region of residence | Lombardia | 194 (59.7%) |
| Out-Lombardia | 131 (40.3%) | |
| Red zone | 20 (15.3%) | |
| No red zone | 111 (84.7%) | |
| Smoking | Yes | 62 (19.1%) |
| No | 105 (32.3%) | |
| Former | 158 (48.6%) | |
| ECOG PS | 0 | 86 (26.5%) |
| 1 | 210 (64.6%) | |
| 2 | 25 (7.7%) | |
| 3 | 4 (1.2%) | |
| Disease setting | Early stage (I-II) | 14 (4.3%) |
| Locally advanced (III) | 32 (9.8%) | |
| Metastatic (IV) | 279 (85.9%) | |
| Histology | NSCLC | 300 (92.3%) |
| Non-squamous | 278 (92.7%) | |
| Squamous | 22 (7.3%) | |
| SCLC | 20 (6.2%) | |
| Other | 5 (1.5%) | |
| Access type | First-access visit | 30 (9.2%) |
| Follow-up visit | 16 (4.9%) | |
| Cancer treatment | 279 (85.9%) | |
| CHT | 74 (26.5%) | |
| IO | 51 (18.3%) | |
| CHT-IO | 6 (2.1%) | |
| TKI | 99 (35.5%) | |
| Clinical trial | 49 (17.6%) | |
| Steroid use | No | 179 (55.1%) |
| Yes | 146 (44.9%) | |
| Prophylaxis | 92 (63%) | |
| Chronic | 54 (37%) | |
| Recent (<6 months) | No | 308 (94.7%) |
| pneumonitis | Yes | 17 (5.2%) |
CHT, chemotherapy; IO, immunotherapy; TKI, tyrosine kinase inhibitors.
Demographic and clinical characteristics of NSCLC COVID 19 patients.
| Sex | Man | Man | Woman | Woman | Man | Woman |
| Age, years | 41 | 48 | 59 | 47 | 69 | 62 |
| Smoking status | Current | Former | Never | Former | Former | Never |
| ECOG PS | 1 | 1 | 1 | 0 | 1 | 1 |
| Geographical area (region) | Lombardia | Lombardia | Emilia Romagna | Lombardia | Lazio | Lombardia |
| Co-morbidities | No | No | No | No | Yes | Yes |
| Histology | Non-squamous | Squamous | Non-squamous | Non-squamous | Non-squamous | Non-squamous |
| Stage | IV | IV | IV | IV | IV | IV |
| Clinical Trial | Yes | No | Yes | No | No | No |
| Treatment regimen | CHT-IO | IO | TKI | IO | IO | CHT |
| Line arms | 1L | 1L | 2L | 1L | 2L | 1L |
| No. of doses received | 5 | 93 | 8 | 7 | 38 | 3 |
| Phone call triage | Yes | Yes | Yes | Yes | Yes | Yes |
| Dilatation of anticancer treatments | No | Yes | No | Yes | Yes | No |
| Time between onset COVID 19 diagnosis and last clinical evaluation | 11 days | 1 day | 10 days | 26 days | 37 days | 21 days |
| Clinical Symptoms | Fever; cought; headache | None | None | Fever; cought; conjunctivitis; dysgeusia | Fever; myalgia | Rhinorrhea; cought |
| Concomitant treatment | Steroid | Steroid | Steroid | Steroid | Sartan | Steroid |
| Prior surgery | Yes | Yes | No | Yes | No | Yes |
| Prior RT | No | Yes | Yes | Yes | Yes | Yes |
| Contact with confirmed COVID 19 patient | Not certain | Not certain | Not certain | Not certain | Yes | Yes |
| CT diagnosis | Positive | Positive | Negative | Positive | Positive | Positive |
| SAR-COV 2 RT-PCR assay | Positive | Positive | Positive | Positive | Positive | Positive |
| Hospitalization status | Discharged | Not hospitalized | Not hospitalized | Not hospitalized | Inpatient | Not hospitalized |
| COVID 19 management | Darunavir/ritonavir/Hydroxychloroquine | Self-isolation at home | Hydroxychloroquine | Hydroxychloroquine | CPAP | Self-isolation at home |
| Survival status | Alive | Alive | Alive | Alive | Alive | Alive |
NSCLC, non-small cell lung cancer; PS, perfprmance status; IO, immunotherapy; CHT, chemotherapy; RT, radiotherapy; TKI, tyrosine kinase inhibitor; CT, computed tomography; RT-PCR, real-time quantitative polymerase chain reaction; SARS-COV-2, severe acute respiratory syndrome coronavirus 2; CPAP, continuous positive airway pressure.
Figure 1Flow chart of applied multilevel containment measures.
Results of multilevel containment measures for COVID-19.
| SARS-CoV2 testing | 9 (6.1%) | |
| Swab test + | 6 (1.8%) | |
| Deaths | 0 (0%) | |
| Modified scheduled visit/treatment | 170 (52.3%) | |
| Delay | 142 (43.7%) | |
| Delegate access | 28 (16.5%) | |
| Scheduled treatment | n = 279 (85.8%) | |
| I.V. | 118 (42.3%) | |
| Delayed | 62 (52.5%) | |
| Oral | 112 (40.1%) | |
| Access modified | 76 (67.9%) | |
| Delivery | 47 (61.8%) | |
| Delegate access | 24 (31.6%) | |
| Other reasons | 5 (6.6%) | |
| Clinical trials | 49 (17.6%) | |
| Access modified | 22 (44.8%) | |
| Delayed | 11 (50%) | |
| Territorial delivery | 11 (50%) | |
| Visit | ||
| Follow-up | 16 (34.8%) | |
| Delayed | 8 (50%) | |
| First access | 30 (65.2%) | |
| Delayed | 2 (6.7%) |