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INTRODUCTIONCoronavirus disease 2019 (COVID‐19) is a severely contiguous infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) reported for the first time at the beginning of 2020 in Wuhan, China. However, less than 3 months later, the world health organization recognized its spread as a pandemic that influences all countries on different continents.1 In most clinical scenarios, COVID‐19 presented by mild to moderate self‐limiting flue like symptoms, however, in some certain populations, COVID‐19 infected patients experience the severe form of disease leading to a higher rate of mechanical ventilation, intensive care unit (ICU) admission, and mortality.2,3 Patients with malignancy especially if they are on active anti‐tumor treatments are among this high‐risk population with a potential fivefold risk of severe events4,5; however, the data in this context is conflicting and there is evidence clearly demonstrated no significant effect of recent anticancer therapies on mortality of COVID‐19.6‐8 Since COVID‐19 is a new medical condition that most health care systems never faced before, data about different aspects of it, that is, high‐risk population, criteria for admission of patients, and treatment options are lacking. For example, in Iran, there is no specific report on the features of cancer patients with COVID‐19 and only two studies reported them as a part of the general single institutional studies.9,10 Therefore, along with institutional‐based recommendations on the management of patients with cancer suffering from COVID‐19,11,12 there is a need to assess the epidemiologic aspects of this medical situation. In this study, we aimed to assess the clinical features, laboratory values, treatment options, and outcomes of cancer patients admitted due to COVID‐19 and compare them with data of COVID‐19 infected patients without a history of cancer.METHODSThis case‐control study was performed between February 20, 2020 and May 20, 2020 during the first peak of the COVID‐19 pandemic in COVID‐19 specific treatment centers of Mashhad, Iran. Mashhad is located in northeastern Iran and is the capital of Khorasan Razavi Province neighboring Afghanistan. With more than 6 million inhabitants, it is the second‐most‐populated city in Iran. Besides, this town is visited by millions of Iranian and international travelers monthly due to the presence of The Holy Shrine of Imam Reza.The protocol of the study was approved by the Ethics Committee of Mashhad University of Medical Sciences (IR.MUMS.REC.1399.059) and a written informed consent form was obtained from the patients or the legal guardian. Medical documents of patients with malignancy admitted to the Imam Reza Educational Hospital, the Ghaem Educational Hospital, and the Shariati Educational Hospital are all affiliated to the Mashhad University of Medical Sciences because COVID‐19 were assessed, prospectively. COVID‐19 infected patients without previous history of malignancy from the same units were selected randomly and matched based on their gender and age. To perform a randomized selection of the non‐malignant patient, they were sorted based on the date of admission and then were enrolled based on the computer‐generated random number table.The COVID‐19 was diagnosed based on the presence of signs and symptoms of severe respiratory illness plus the evidence of lung involvement on the high‐resolution CT (HRCT) of the chest with or without positive real‐time polymerase chain reaction (RT‐PCR) test for COVID‐19. The decision to include patients only based on their HRCT chest was primarily made because of the limited resources in Iran during the first peak of COVID‐19 and not performing the RT‐PCR for all patients and the potential false negative of this procedure. The demographic data and signs, symptoms, and laboratory tests result of patients at the presentation were recorded and patients were followed up until the death or discharge. The primary objectives of the study were treatment options, mechanical ventilation, ICU admission, and the final outcome. The time interval between the last oncologic treatment and the beginning of COVID‐19 was reported in patients on active oncologic treatments receiving (chemo+/−) radiotherapy or chemotherapy. The level of O2 saturation on pulse oximetry was grouped as normal, mild (O2sat = 90‐95%), moderate (O2sat = 90‐75%), and severe (O2sat < 75%) hypoxemia.The sample size was estimated to be at least 33 COVID‐19 infected patients in each group based on the results of Erdal et al.13 who showed that the mortality rates of COVID‐19 infected patients with and without malignancy was 23.9% and 1.5%, respectively; using n = (Zα/2 + Zβ)2 * (p1(1 − p1) + p2(1 − p2))/(p1 − p2)2 with a confidence interval of 95% and poser of 90%.Data were analyzed by SPSS‐21 using chi‐square and Fisher exact tests for categorical variables and independent t‐test for quantitative data (or Mann‐Whitney U test is a nonparametric test in case of the absence of normal distribution which was tested by Shapiro‐Wilk test) at the level of P ≤ .05. To assess the most parsimonious set of predictors that are most effective in predicting the death [odd ration (OR)], stepwise binary logistic regression was used.RESULTSBetween 20 February 2020 and 20 May 2020, 3373 patients with the diagnosis of COVID‐19 were admitted at COVID‐19 specific treatment centers of Mashhad, Iran. In this research, 93 non‐malignant patients and 92 patients with malignancy admitted for COVID‐19 were enrolled. The rate of positive PCR for COVID‐19 was significantly higher in non‐malignant patients (64% vs 35.1%, P‐value = .0001). Comparing COVID‐19 infected malignant patients with COVID‐19 infected patients without malignancy, non‐malignant patients had higher rates of comorbidities (P‐value = .014) notably diabetes mellitus (P‐value = .006). COVID‐19 related mortality rate in malignant patients was significantly higher (41.3% vs 17.2%, P‐value = .0001), however, the cause of death was similar between the groups mostly due to acute respiratory distress syndrome (50% vs 60%), multiple organ dysfunction syndromes (41.7% vs 40%), and cardiac arrest (8.3% vs 0%) by P‐value = .483. The time interval to admission after the onset of COVID‐19 symptoms in malignant and non‐malignant patients was 7.16 ± 5.3 and 7.01 ± 7 days (P‐value = .089). Also, the duration of admission was the same (medians; 8 vs 6.5 days, P‐value = .155). Table 1 shows characteristics of COVID‐19 infected patients with and without malignancy in detail.1TABLECharacteristics of COVID‐19 infected patients with and without malignancyMalignancyP‐valueNoYesDemographic dataAge [median, year]5762.078GenderMale56 (60.2%)55 (59.8%).952 Female37 (39.8%)37 (40.2%)Comorbidity50 (53.8%)33 (35.9%).014Number of comorbidities043 (46.2%)59 (64.1%).064 125 (26.9%)20 (21.7%) 218 (19.4%)7 (7.6%) 36 (6.5%)6 (6.5%) 41 (1.1%)0Diabetes mellitus30 (32.3%)14 (15.2%).006Hypertension28 (30.1%)17 (18.5%).065IHD/CHF14 (15.1%)14 (15.2%).975COPD4 (4.3%)1 (1.1%).187Asthma2 (2.2%)0.251CKD/ESRD4 (4.3%)2 (2.2%).346Hepatitis B02 (2.2%).246Deep venous thrombosis01 (1.1%).497SymptomsFatigue66 (71%)66 (71.7%).908Fever60 (64.5%)40 (43.5%).004Chill33 (35.5%)13 (14.1).001Malaise46 (49.5%)28 (30.4%).008Chest pain10 (10.8%)10 (10.9%).980Headache9 (9.7%)7 (7.6%).617Seizure05 (5.4%).029Lack of consciousness3 (3.2%)15 (16.3%).003Dry cough48 (51.6%)24 (26.1%).0001Productive cough17 (18.3%)18 (19.6%).823Shortening of breath82 (88.2%)73 (79.3%).104Hemoptysis03 (3.3%).079Sore throat5 (5.4%)2 (2.2%).227Nausea21 (22.6%)13 (14.1%).138Vomiting16 (17.2%)5 (5.4%).012Diarrhea6 (6.5%)4 (4.3%).747Constipation1 (1.1%)4 (4.3%).211Gastrointestinal bleeding04 (4.3%).059Bowel obstruction1 (1.1%)1 (1.1%)1SignsSystolic blood pressure[median, mmHg]130120.0001Diastolic blood pressure[median, mmHg]8075.0001Oxygen saturation Normal11 (11.8%)19 (20.9%).383 O2sat = 90–95%41 (41.1%)33 (36.3%) O2sat = 90–75%37 (39.8%)35 (38.5%) O2sat < 75%4 (4.3%)4 (4.4%)Heart rate Normal58 (62.4%)60 (65.2%).687 Bradycardia00 Tachycardia35 (37.6%)32 (34.8%)Respiratory rate Normal9 (9.7%)5 (54%).275 Bradypnea00 Tachypnea84 (90.3%)87 (94.6%)Temperature Normal72 (77.4%)81 (88%).102 Hypothermia1 (1.1%)0 Fever20 (21.5%)11 (12%)Laboratory dataNeutrophil count Normal64 (69.6%)45 (48.9%).002 Neutropenia1 (1.1%)11 (12%) Neutrophilia27 (29.3%)36 (39.1%)Lymphocyte count Normal25 (26.9%)32 (34.8%).245 Lymphopenia68 (73.1%)60 (65.2%)Thrombocytopenia7 (7.5%)33 (35.9%).0001Anemia20 (21.5%)34 (97%).021Sodium level Normal64 (68.8%)59 (64.1%).239 Hyponatremia28 (30.1%)27 (29.3%) Hypernatremia1 (1.1%)6 (6.6%)Potassium level Normal73 (78.5%)68 (74.7).335 Hypokalemia18 (19.4%)17 (18.7%) Hyperkalemia2 (2.2%)6 (6.6%)ESR [mean ± SD, mm/h]54.5 ± 5.363.14 ± 4.8.605CRP [median, mg/L]58.789.5.109Cr [median, mg/dL]0.90.95.802SGOT [median, U/L]3033.171SGPT [median, U/L]24.529.404LDH [median, U/L]574.5698.5.075Consolidation54 (58.1%)51 (57.3%).917Ground glass opacity87 (94.6%)79 (88.8%).157Location of lesionsDisseminated60 (65.3%)48 (53.9%).685 Peripheral21 (22.8)12 (13.5%) Bases7 (7.6%)19 (21.3%) Apical1 (1.1%)7 (7.9%) Peribronchovascular distribution3 (3.3%)3 (3.%)Bilaterality88 (94.6%)74 (82.2%).009Pleural effusion10 (10.8%)36 (40.4%).0001Lymphadenopathy9 (9.7%)20 (22.7%).017Calcification3 (3.2%)3 (3.4%)1COVID‐19 treatment dataO2 therapy91 (97.8%)82 (91.1%).06Antibiotic therapy92 (98.9%)89 (98.9%)1Steroid therapy12 (12.9%)11 (12.4%)1Antiviral therapy56 (60.2%)51 (57.3%).690Mechanical ventilation10 (10.8%)21 (23.6%).021ICU admission14 (15.1%)22 (24.7%).102Note: Bold numbers show the p values which are significant at the level of p < .05.As shown in Table 2, most patients with malignancy suffered from hematologic and gastrointestinal cancers (33.3% and 24.7%) that 53.9% of them had metastatic disease. In patients on active treatment (except hormone therapy), the median time interval between the last oncologic treatment and COVID‐19 infection was 20 [95%CI 17‐29] days.2TABLEThe characteristics of patients with malignancyFrequencyPercentType of cancerHematologic cancer3133.3GI cancer2324.7Lung cancer99.7Breast cancer88.6Urogenital cancers66.5Brain tumors55.4H&N cancer55.4GYN cancer33.2Melanoma11.1Sarcoma11.1Beast and endometrial cancer11.1StageMetastatic4153.9Nonmetastatic3343.9Relapse22.6Current statusFollow up4044.0Chemotherapy3538.5Radiotherapy22.2Targeted therapy44.4Hormone therapy66.6New case44.4Regression analysis showed that the risk of death increased significantly in patients with malignancy (OR = 8.4, P = .007) and mechanical ventilation (OR = 3.3, P‐value = .034) independent of other variables (Table 3).3TABLEStepwise binary logistic regression on variables predicting the death in patients with COVID‐19OR95% CIP‐valueAge1.2.9771.079.301Gender (male)1.9.3273.684.881Comorbidities (yes).8.0838.725.893Total number of comorbidities1.6.09927.535.727DM (yes)2.13031.423.614HTN (yes).3.0255.227.456IHD/CHF (yes).6.02217.620.777COPD (yes)4.062259.718.514Malignancy (yes)8.41.78039.918.007Systolic blood pressure1.1.9631.068.599Diastolic blood pressure1.4.9281.086.921Moderate/severe hypoxemia (yes)2.2.07112.101.068Tachycardia (yes).418.1121.552.192Tachypnea (yes).157.0046.577.331Fever (yes)2.9.30928.004.348Neutropenia (yes).235.0134.277.328Neutrophilia (yes).685.1722.728.591Lymphopenia (yes)2.8.78210.076.113Anemia (yes).201.0361.127.068Thrombocytopenia (yes).278.0651.196.086Bilateral lung involvement (yes).160.0171.477.106O2 therapy (yes).000.000.999Antibiotic therapy (yes)2.2.042119.259.691Steroid therapy (yes).223.0431.150.073Antiviral therapy (yes).698.1912.550.587Mechanical ventilation (yes)3.31.5210.35.001ICU admission (yes).269.0531.368.114Note: Bold numbers show the p values which are significant at the level of p < .05.Subsequently, the stepwise binary logistic regression was performed in COVID‐19 infected patients with cancer to define the predisposing factors of death. However, no factor can predict the outcome including the type of malignancy, stage of the disease, and recent oncologic treatment (chemotherapy or radiotherapy, data not presented).DISCUSSIONThis study aimed to assess the clinical features, laboratory values, treatment options, and outcomes of cancer patients admitted due to COVID‐19 and compare them with data of COVID‐19 infected patients without a history of cancer. Our results showed that mortality was significantly higher in cancer patients infected by COVID‐19, although the comorbidities especially diabetes mellitus were more prevalent in non‐malignant patients. Moreover, the probability of positive PCR for CODIV‐19 was significantly higher in non‐malignant patients. Regression analysis showed that the risk of death in COVID‐19 infected patients with malignancy was about nine times more than other patients. Also, the patients who needed mechanical ventilation had a significantly higher mortality rate. An overview of recent data on COVID‐19 and its impact on patients with malignancies has been provided in Table 4.4TABLEAn overview of recent data on COVID‐19 and its impact on patients with malignanciesAuthorsYearCountryPopulationICU admissionMortality rateGuan et al.142019ChinaNon‐cancer (1089)Cancer (10)4.8%30%1.4%0Huang et al.152020ChinaNon‐cancer (40)Cancer (1)31.7%015%0Yang et al.162020ChinaNon‐cancer (50)Cancer (2)100%100%62%50%Wang et al.172020ChinaNon‐cancer (128)Cancer (10)25%40%—Lei et al.182020ChinaNon‐cancer (25)Cancer (9)40%55.5%12%44.4%Lee et al.192020UKCancer (1044)—28.2%Erdal et al.132021TurkeyNon‐cancer (4412)Cancer (77)—1.51%23.9%Present study2020IranNon‐cancer (93)Cancer (92)15.1%24.7%17.2%41.3%As stated earlier, there are limited data on the potential interaction of COVID‐19 and malignancy and its treatments, and this specific category of COVID‐19 infected patients accounts for a small portion of patients in the recent studies.14,15,20 However, studies from China, Europe, and the United States proposed the predisposing role of malignancy on the increased mortality rate of COVID‐19 with higher rates for patients with active cancer receiving the anti‐cancer treatments.4,7,19,21 Although, there is not a general agreement in this context with lower mortality rates in cancer patients with COVID‐19.6,17Our study showed that cancer patients might present less with typical symptoms of COVID‐19 and COVID‐19 infected patients with malignancy reported a lower frequency of fever and dry cough comparing previous studies.5,18 However, studies are confirming our results regarding obscuring the main presentation of COVID‐19 in cancer patients.22 Also, the rate of neutropenia, anemia, and thrombocytopenia which mainly had been the side‐effects of chemotherapy was higher in our study as expected. Besides, pleural effusion and lymphadenopathy were reported significantly higher in patients with malignancy that we believed is related to the underlying malignant condition.Our study has some limitations. Due to limited resources during the first peak of pandemic and special economic conditions of Iran, it was not possible to do PCR tests for all patients and therefore, we had to enroll patients only based on pulmonary symptoms and radiography. Also, our analyses were based on patients with symptomatic cancer admitted to COVID‐19 specific treatment centers of Mashhad, and patients who managed in an outpatient setting or were asymptomatic were not included. Therefore, the cohort might not be entirely representative of all patients with cancer. Patients on an end‐of‐life care pathway would be unlikely to be included in the current study.CONCLUSIONThe results suggest that cancer patients who were infected by COVID‐19 are at higher risk of mortality independent of the demographic data, comorbidities, and treatments. Also, the false‐negative rate of PCR may be higher in COVID‐19 infected patients with malignancy and they might present with atypical presentation leading to delay diagnosis, collectively.ACKNOWLEDGMENTSWe thank all staff of Emam Reza, Ghaem, and Shariati Educational Hospitals and all of the healthcare workers around the world for their sincere sacrifices in fighting against COVID‐19. This work was supported by Mashhad University of Medical Sciences (Grant Number: 990087; 2020 to S. Sh.).AUTHOR CONTRIBUTIONSSoodabeh Shahidsales: Conceptualization; project administration; supervision; validation. Seyed Amir Aledavood: Investigation; methodology; writing‐review & editing. Mona Joudi: Investigation; methodology; project administration; visualization; writing‐review & editing. Fatemeh Molaie: Conceptualization; data curation; formal analysis; investigation; methodology. Habibollah Esmaeili: Formal analysis; methodology; software; visualization; writing‐original draft. Seyed Alireza Javadinia: Conceptualization; formal analysis; investigation; methodology; writing‐original draft; writing‐review & editing.CONFLICT OF INTERESTThe authors declare that there is no conflict of interest to be reported.ETHICAL STATEMENTThe protocol of the study was approved by the Ethics Committee of Mashhad University of Medical Sciences (IR.MUMS.REC.1399.059) and a written informed consent form was obtained from the patients or the legal guardian.DATA AVAILABILITY STATEMENTAll data generated and analyzed during this study can be accessible through direct communication with corresponding author and agreement of all research team members.REFERENCESWorld Health Organization. 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Cancer Reports – Wiley
Published: Oct 1, 2021
Keywords: COVID‐19; malignancy; mortality
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