Literature DB >> 34853131

Impact of COVID-19 on cancer management in military hospitals of Saudi Arabia.

Omar Al Zahrani1, Ismail Ghorbel1, Osama Mukhtar1, Muneera Almajed1, Hoda M Abdelazim1, Muhammad N Hasan1, Ahmad Mostafa1, Aisha A Al Harbi1, Ali Bajouda1.   

Abstract

OBJECTIVES: To evaluate the impact of COVID-19 on cancer management in Saudi Arabia's military hospitals.
METHODS: This multi-centric, retrospective study compared cancer patients diagnosed from February-July 2019 and 2020, focusing on the time duration for acceptance and time for oncologic treatment initiation. Eligibility and referral status were recorded. Clinical data of COVID-19-positive cancer patients were collected and evaluated their outcomes and survival.
RESULTS: Data of 1574 cancer patients (mean age, 57.1 years) were collected. Mean time for acceptance was 7.3 days in 2019 and 8 days in 2020, with no statistically significant difference. Mean time for oncology treatment initiation was 38.4 days in 2019 and 44.3 days in 2020, with no statistically significant difference. The number of new cancer patients decreased in 2020 but increased in peripheral hospitals. It decreased in Riyadh and Jeddah hospitals. Concerning referral status, a statistically significant modification was recorded only in Riyadh and Tabuk hospitals. No significant changes observed in time duration for acceptance of new patients and oncology treatment initiation from 2019-2020. A total of 76 COVID-19-positive cancer patients recorded; 72% were symptomatic, 73.6% recovered, 22.3% died due to COVID-19 complications, and 8% died due to cancer; cancer progressed in 7 patients.
CONCLUSION: COVID-19 did not affect oncology service in Saudi Arabia's military hospitals. New cancer cases reduced during the pandemic. Cancer patients are at increased risk for COVID-19 complications, including death. Copyright: © Saudi Medical Journal.

Entities:  

Keywords:  COVID-19; cancer management; military hospitals; oncology; pandemic

Mesh:

Year:  2021        PMID: 34853131      PMCID: PMC9149751          DOI: 10.15537/smj.2021.42.12.20210483

Source DB:  PubMed          Journal:  Saudi Med J        ISSN: 0379-5284            Impact factor:   1.422


Since the Spanish flu, also known as the 1918 influenza pandemic, COVID-19 is the second and one of the most deadliest pandemics in history, sharing many similarities. COVID-19 was first discovered in Wuhan, China, and was rapidly declared a pandemic by the World Health Organization on March 11, 2020. The sudden appearance of COVID-19 and its rapid transmission gave health care systems limited time for adaptation. Since the declaration and in response to the pandemic, health care systems worldwide started to prioritize essential treatment services and protocols. The COVID-19 pandemic significantly affected global health care systems, interrupting services in many health care facilities and exposing vulnerable patients to fatal risks such as increased cancer-related morbidity and mortality due to treatment delays. Moreover, patients with cancer are known to be a fragile population, and the pandemic has made it more challenging by exposing them to life-threatening infections and interruption of cancer or other medical care. In Saudi Arabia, the first COVID-19 case was confirmed on March 2, 2020. However, the country has experienced cancer management during the Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak. Patients aged >65 years and those with other comorbidities such as cancer, immunosuppression, chronic lung disease, and diabetes were known to be at increased risk for mortality when infected with MERS-CoV. Important lessons from their previous experience with MERS-CoV enabled them to focus on the need to ensure continuity of care, minimize harm from acquiring infections, and reduce the number of treatment interruptions. The Saudi Arabia National Cancer Institute provided specific recommendations on cancer patient management according to the infectious status. To ensure social distancing, the government of Saudi Arabia imposed several anticipatory measures, including lockdowns and curfews. Our study aimed to evaluate the impact of COVID-19 on the quality of cancer management in military hospitals of Saudi Arabia. Our main objectives were to report and compare 2 of the most essential quality performance indicators of cancer management. The first indicator was the time duration for acceptance of new cancer patients in oncology, which was the average time duration between the date of referral and the date of first visit in oncology. This is defined as the sum of the number of days recorded between the date of referral to oncology and the date of first visit in oncology for all patients treated during the above-mentioned periods, divided by the number of patients treated. The second indicator was the time duration to initiate oncology treatment; the average time duration between the date of cancer diagnosis and the date of the first oncology treatment (surgery, radiotherapy, or systemic treatment). This is defined as the sum of the number of days recorded between the date of cancer diagnosis and the date of cancer treatment initiation for all patients treated during the above-mentioned periods, divided by the number of patients treated.

Methods

We conducted a multi-centric, record based, retrospective, comparative study of 2 groups of adult cancer patients treated in all military hospitals in Saudi Arabia, providing oncology services from February to July 2019 and 2020. An ethical approval was obtained from Central Research Ethics Committee, Medical Services General Directorate (MSD). We collected data from Prince Sultan Military Medical City (PSMMC), Riyadh, considered as a reference center; King Fahad Armed Forces Hospital (KFAFH), Jeddah; King Salman Armed Forces Hospital (KSAFH), Tabuk; Al Hada Armed Forces Hospital (AL HADA), Taif; and Armed Forces Hospital Southern Region (AFHSR), Khamis Mushait. Our target population consisted of 2 groups. Group A represented all adult cancer patients treated from February to July 2019. Group B consisted of cancer patients treated from February to July 2020. Information regarding patients’ date of diagnosis, date of the first visit to the oncology clinic, and treatment plan, along with their demographic variables, were collected. The eligibility status was defined as military, military dependents, or armed forces medical services directorate civilian staff, and the referral way to oncology was from the same hospital, another military hospital, or ministry of health hospital. We reported other parameters that reflected the magnitude of services during this period. The number of newly diagnosed cancer cases (number of newly diagnosed/accepted cases during these periods), the number of eligible cases versus (vs.) the number of non-eligible cases, and the number of patients referred from other hospitals (other military hospitals or ministry of health hospital). We presented the clinical data regarding COVID-19-positive active cancer patients (clinical presentation, manifestation, management, and possible complications). We conducted a retrospective evaluation of the outcomes and survival of these patients (active, recovery, hospitalized but not in the intensive care unit [ICU]; hospitalized in ICU; placed on a ventilator; and death), including cancer outcomes (stable, response to treatment, progression, delayed treatment, discontinued treatment, and death). We followed the criteria for recovery of the COVID-19 Guidelines v1.2 published in March 2020 by the Saudi Center for Disease Prevention and Control and the Ministry of Health. It consisted of 2 negative RT-PCR tests, 24 hours apart. All patients treated for malignancy in military hospital, patients who received active treatment (surgery, systemic treatment and radiotherapy) were included in the study. While the exclusion criteria were patients diagnosed with malignancy but not receiving active treatment such as palliative cases and patient diagnosed with malignancy but not treated in military hospitals.

Statistical analysis

Data were gathered and entered into SPSS for Windows, version 20 (IBM Corp., Armonk, N.Y., USA). The descriptive analysis of the demographic characteristics of the patients was presented in . Normality of the data was analyzed by Kolmogorov-Smirnov test. Mann-Whitney U-test was used to determine any difference between the time duration of acceptance of cancer cases and the start of treatment in 2019 and 2020, as the data sets were not normally distributed. Chi-square and Fisher exact test was used to determine any association between the number of cases, their eligibility, and referral status in 2019 and 2020. A p-value of <0.05 was considered statistically significant.
Table 1

- Comparative analysis of demographic features between 2 samples (2019 and 2020).

Demographic characteristic20192020Chi square/Fisher statistics P-value
n(%)n(%)
Gender, n (%)
Male380(44.4)322(44.8)0.0330.857
Female476(55.6)396(55.2)
Eligibility, n (%)
Military787(92.8)636(89.0)7.7010.008
Non-military61(7.2)79(11.0)
Referred hospital, n (%)
Same705(84.5)534(76.2)35.2660.000
Other military67(8.0)46(6.6)
Other civilian62(7.4)121(17.3)
  Mean ± SD Range Mean ± SD Range T-statistics P-value
Age56.9±18.53-9857.4±16.82-1000.5230.601

Total of some categories do not add to the total sample size such as “1574” due to some “missing data” in these categories. SD: standard deviation

- Comparative analysis of demographic features between 2 samples (2019 and 2020). Total of some categories do not add to the total sample size such as “1574” due to some “missing data” in these categories. SD: standard deviation Detailed information regarding the COVID-19-positive cancer patients, such as diagnosis, symptomatic status, outcomes, and progression of the disease, were analyzed (cross-sectional analysis) and the results were presented in a tabulated form.

Results

Data of 1574 cancer patients were collected, which included military hospitals. The total number of patients in 2019 was 856 and 718 in 2020, of which females were in majority with 55.6% in 2019 and 55.2% in 2020 (p=0.857). The mean age of the sample of 2020 was reported slighter higher than 2019 (p=0.601) ( ). Regarding the referral activities in this study, there was reported a significant reduction in the total number of referred cases in the sample of 2020, from another department within a military hospital and from one military hospital to another. However, the number of referred cases from civilian hospitals were accepted doubled in 2020 from 62 to 121 cases (p=0.00) ( ). As the consequences of increase in referred cases from civilian hospital, the eligibility status of non-military patients were significantly increased in 2020. illustrates the comparative analysis of all demographic features between 2 samples (2019 and 2020). Furthermore, breast cancer was the most common type of cancer, followed by colorectal cancer in both sample groups (2019 and 2020). However, corpus uteri cancer ranked 3rd among the sample of 2020 instead of thyroid cancer in 2019. shows the comparative analysis of different cancer sites between 2 samples (2019-2020).
Table 2

- Comparison between the 2 samples (2019 and 2020) in terms of cancer sites.

Cancer type20192020Total
n%n%n%
Breast15618.314119.729719.0
Colorectal13015.312417.425416.2
Thyroid8510.0253.51107.0
NHL556.5395.5946.0
Corpus uteri414.8466.4875.6
Prostate495.8253.5744.7
Head and neck273.2395.5664.2
Lungs313.6283.9593.8
Gastric222.6294.1513.3
Pancreas242.8263.6503.2
Brain212.5263.6473.0
Kidney283.3131.8412.6
Ovary212.5152.1362.3
Skin212.5142.0352.2
Liver161.9142.0301.9
Soft tissue172.0131.8301.9
Bladder121.4162.2281.8
Hodgkin lymphoma121.460.8181.1
Testicular111.360.8171.1
Leukemia70.881.1151.0
Esophagus50.681.1130.8
Bones60.760.8120.8
Multiple myeloma50.640.690.6
Myeloproliferative neoplasm20.260.880.5
Malignancy of unknown origin50.630.480.5
Tongue10.160.870.4
Others424.9283.9704.5
Total8521007141001566100

Due to some missing information (data) of the diagnosis of the some malignant cases the totals do not add to the sample size.

- Comparison between the 2 samples (2019 and 2020) in terms of cancer sites. Due to some missing information (data) of the diagnosis of the some malignant cases the totals do not add to the sample size. Concerning time duration for acceptance of new cancer patients in oncology (all hospitals included), the mean time was 7.3 days in 2019 and 8 days in 2020, respectively, with no statistically significant difference (p=0.194). Similarly, in terms of time duration for oncology treatment initiation, no statistically significant difference was reported between 2019 (mean as 38.4 days) and 2020 (mean as 44.3 days) (p=0643)( ).
Table 3

- Comparison between the 2 samples (2019 and 2020) in time duration for acceptance and start of first oncology treatment.

HospitalsKPIsYearnMean±SDMedianz-scores P-value
Overall combinedTime duration for acceptance of new cancer patient in oncology20197367.3±27.85.0-1.2990.194
20206358.0±25.44.0
Time duration to start first oncological treatment201968638.4±48.126.0-0.4640.643
202057444.3±67.925.0
KFAFH JeddahTime duration for acceptance of new cancer patient in oncology20191288.4±35.90.0-2.3630.018
20209116.2±58.51.0
Time duration to start first oncological treatment201915422.6±40.211.0-1.5680.117
20209337.6±73.814.0
KSAFH TabukTime duration for acceptance of new cancer patient in oncology2019919.0±38.93.0-0.7410.459
20201265.2±7.23.0
Time duration to start first oncological treatment20198920.2±19.317.0-0.7800.435
202011517.8±18.014.0
PSMMC RiyadhTime duration for acceptance of new cancer patient in oncology20193618.1±22.97.0-1.3450.179
20202358.9±10.76.0
Time duration to start first oncological treatment201934344.1±51.030.0-0.0870.931
202022939.3±59.532.0
AFHSR Khamis MushaitTime duration for acceptance of new cancer patient in oncology2019584.4±4.42.5-0.2440.807
2020635.0±6.72.0
Time duration to start first oncological treatment20192311.4±22.01.0-0.0640.949
20203211.9±19.60.0
AL HADA TaifTime duration for acceptance of new cancer patient in oncology2019982.2±10.90.0-2.9980.003
20201201.6±2.50.0
Time duration to start first oncological treatment20197757.7±65.135.0-1.1660.243
202010573.2±82.642.0

KFAFH: King Fahad Armed Forces Hospital, KSAFH: King Salman Armed Forces Hospital, PSMMC: Prince Sultan Military Medical City, AL HADA: Al Hada Armed Forces Hospital, AFHSR: Armed Forces Hospital Southern Region, SD: standard deviation, KPI: key performance indicator

- Comparison between the 2 samples (2019 and 2020) in time duration for acceptance and start of first oncology treatment. KFAFH: King Fahad Armed Forces Hospital, KSAFH: King Salman Armed Forces Hospital, PSMMC: Prince Sultan Military Medical City, AL HADA: Al Hada Armed Forces Hospital, AFHSR: Armed Forces Hospital Southern Region, SD: standard deviation, KPI: key performance indicator

Results by hospital

The highest number of patients was reported in PSMMC (601 patients, 365 in 2019 and 236 in 2020), and the lowest was in AFHSR (179 patients, 82 in 2019 and 97 in 2020) ( ).
Table 4

- Comparison between the 2 samples (2019 and 2020) in terms of referral activities among different hospitals.

HospitalsYearReferral statusEligibility status
Same hospitalOther militaryOther civilian P-valueMilitaryNon military P-value
KFAFH Jeddah2019191360.2319220.86
2020108381191
KSAFH Tabuk201989260.0010190.00
20209163511330
PSMMC Riyadh201928655150.01345200.15
202018326242287
AFHSR Khamis Mushait201975160.457730.89
20209205934
AL HADA Taif2019646290.0972270.56
20206011498337

Total of the variables are not equal to the total sample size due to some “missing data” in these variables. KFAFH: King Fahad Armed Forces Hospital, KSAFH: King Salman Armed Forces Hospital, PSMMC: Prince Sultan Military Medical City, AL HADA: Al Hada Armed Forces Hospital, AFHSR: Armed Forces Hospital Southern Region

- Comparison between the 2 samples (2019 and 2020) in terms of referral activities among different hospitals. Total of the variables are not equal to the total sample size due to some “missing data” in these variables. KFAFH: King Fahad Armed Forces Hospital, KSAFH: King Salman Armed Forces Hospital, PSMMC: Prince Sultan Military Medical City, AL HADA: Al Hada Armed Forces Hospital, AFHSR: Armed Forces Hospital Southern Region In terms of referral status, we observed a statistically significant reduction in the number of patients referred to PSMMC from other military hospitals (p=0.01). The number of non-military patients also decreased in 2020 for the same hospital. The reduction, however, was not statistically significant (p=0.15). In KSAFH, the number of patients referred from other hospitals (military and civilian) increased significantly in 2020 (p=0.00), as well as the number of non-eligible cases (p=0.00). This was the most important change in activities in KSAFH. In AL HADA, the trend of change in referral status and acceptance of non-eligible cases was similar to Tabuk hospital. However, there was no statistically significant difference (p>0.05). For other military hospitals, the referral status and acceptance of non-eligible cases did not change significantly between the 2 periods ( ) The time duration for acceptance of new cancer patients in oncology did not change significantly between 2019 and 2020, in 3 of the 5 hospitals. This duration increased significantly in KFAFH (mean rank 102.44 and 120.64, p=0.02) and AL HADA (mean rank 97.22 and 119.52, p=0.00). In addition, we found no significant difference in the time duration for oncology treatment initiation for all military hospitals. Detailed results of individual hospitals are presented in .

Oncology results of COVID-19-positive patients

Overall, we collected data of 76 COVID-19-positive cancer patients (28 males, 48 females) between February and July 2020 from all the military hospitals. Riyadh reported the highest number of COVID-19 patients (38 cases, 50%). Most of the patients in our study were found symptomatic (71.6%), with fever as the common symptom (58.5%), followed by cough (49.1%) and shortness of breath (26.4%). In these patients, breast cancer was the most common type of cancer (32.9%), followed by colorectal (21.1%), and non-Hodgkin lymphoma (7.9%). Furthermore, 72.4% of the patients recovered from COVID-19, 22.3% (17 cases) died due to COVID-19 complications, and 8% (6 cases) died due to cancer (after recovery from COVID-19). We noted 3 admissions in the ICU needing mechanical ventilation and eventually died. Cancer progression was reported in 7 patients, of which 2 died and one discontinued the treatment and eventually died. However, 58% of the cases were controlled from an oncological point of view. summarizes the data regarding COVID-19 cases.
Table 5

- Characteristics of COVID positive patients.

Characteristicsn%
Number of cases by hospital
KFAFH Jeddah1114.5
KSAFH Tabuk1215.8
PSMMC Riyadh3850.0
AFHSR Khamis Mushait22.6
AL HADA Taif1317.1
Gender
Male2836.8
Female4863.2
Symptomatic
Yes5571.6
No2128.4
*Common symptoms
Fever3158.5
Cough2649.1
Shortness of breath1426.4
Diarrhea59.4
Outcome of Covid-19
Active11.3
Recovered5572.4
Hospitalized (in ICU on ventilator)33.9
Expired due to Covid-191722.4
Cancer outcome
Stable2330.3
Response to treatment2127.6
Progression79.2
Treatment discontinued11.3
Overall expired cases2330.3

Common symptoms are not mutually exclusive. Total of the some variables are not equal to the total sample size due to some “missing data” in these variables. KFAFH: King Fahad Armed Forces Hospital, KSAFH: King Salman Armed Forces Hospital, PSMMC: Prince Sultan Military Medical City, AL HADA: Al Hada Armed Forces Hospital, AFHSR: Armed Forces Hospital Southern Region, ICU: intensive care unit

- Characteristics of COVID positive patients. Common symptoms are not mutually exclusive. Total of the some variables are not equal to the total sample size due to some “missing data” in these variables. KFAFH: King Fahad Armed Forces Hospital, KSAFH: King Salman Armed Forces Hospital, PSMMC: Prince Sultan Military Medical City, AL HADA: Al Hada Armed Forces Hospital, AFHSR: Armed Forces Hospital Southern Region, ICU: intensive care unit

Discussion

The number of cancer patients in military hospitals decreased from 856 in 2019 to 718 in 2020, attributed to a multifactorial effect. Firstly, reduction in referrals from other services (limitations of diagnostic activities), and secondly, patients delayed hospital visits due to fear of getting infected with COVID-19 during these visits. However, the number of newly diagnosed cancer patients in peripheral military hospitals increased during this period in 2020 as compared to the same period in 2019. In AFHSR, the number of newly diagnosed cancer cases increased within the same hospital. In KSAFH and AL HADA, the number of referred cases (from another military or Ministry of Health hospital) increased, while the number of in-hospital cases was stable. On the contrary, military hospitals in Riyadh and Jeddah noted reductions in newly diagnosed cancer cases. For PSMMC, the change in number was related to the reduction of in-hospital cases and the number of referrals from peripheral hospitals due to restrictions, such as lockdown and curfew, implemented during this period. This forced many patients to consult the nearest hospital. With regard to KFAFH, the reduction of the number of cases in 2020 was attributed to the decreased newly diagnosed cases in the same hospital due to COVID-19 related restriction of care. In terms of non-eligible cases, the numbers increased in some peripheral hospitals compared to the referral centers. The lockdown and movement limitations enforced patients to conduct or continue their oncological treatments in the nearest centers. Some of these patients were newly diagnosed in a peripheral Ministry of Health hospital, whereas others were on active cancer treatment in a reference Ministry of Health cancer center. Nonetheless, a collaboration between the Ministry of Health hospitals and military hospitals enabled adequate and timely management of cancer patients. In the military hospitals, no statistically significant difference in terms of acceptance of cancer patients was noted between 2020 and 2019. This duration increased significantly in KFAFH (p=0.02). However, the mean time for acceptance matched the international benchmarks. In AL HADA hospital, there was a significant change in duration for acceptance (p=0.000), with a mean of 2.18 and 1.65 days, respectively. In this hospital, most of the newly diagnosed cancer patients were consulted by oncologists on the same day of referral (first visit). No statistically significant difference was observed in the time duration for oncology treatment initiation in all military hospitals, which was attributed to the fact oncology is considered a priority care. Continuity of oncological treatments during the COVID-19 period and adapting to the treatment protocols as per the new guidelines was crucial. According to the information we have, there are limited studies investigating cancer management in Saudi Arabia’s military hospitals. Jaziahet al conducted a cross-sectional study including 356 centers from 54 countries between April 21 and May 8, 2020. The study reported that 88.2% of the centers experienced different challenges in cancer management, including services reduction by 55.3%, and 46.2% of the centers reported missing at least one cycle of therapy in 10% of patients. These were attributed to the overwhelmed healthcare system (19.9%), lack of personal protective equipment (19.1%), staff shortages (18%), and restricted access to medications (9.8%). Furthermore, Maringe et al conducted a national population-based modeling study in the United Kingdom to estimate the impact of the COVID-19 pandemic on cancer deaths due to delays in diagnosis. The study included 32583 breast cancer, 24975 colorectal cancer, 6744 esophageal cancer, and 29305 lung cancer patients. Compared to the pre-pandemic period, there was a 7.9%-9.6% increase in the number of deaths due to breast cancer, 15.3%-16.6% for colorectal cancer, and 4.8%-5.3% for lung cancer. The first COVID-19-oncology experience was reported from Italy by Zulianiet al. They recorded data regarding oncological activities in Verona, Italy, from January 1 to March 31, 2020, vs. the same period of 2019, as well as other data. As compared with the same trimester in 2019, there was a reduction in total numbers of admissions, chemotherapy administrations, and specialist visits from January to March 2020 (8%, 6%, and 3% reduction, respectively). The authors noted a slight but statistically significant reduction in oncology activity during the epidemic peak. Regarding patient’s perspectives on oncological care during the COVID-19 pandemic, De Joode et al conducted a survey among 5302 cancer patients in the Netherlands between March and April 2020, using an online survey. Overall, 30% of the patients experienced some challenges during their oncological treatment or follow-up. Chemotherapy (30%) and immunotherapy (32%) were the most frequently adjusted treatments. More than 55% of patients were concerned regarding the discontinuation or delay of their cancer management. Patients in regions with high COVID-19 incidence were significantly more concerned. Tashkandi et al studied other feedbacks from Saudi patients. They conducted a self-administered electronic survey among cancer patients, aiming to determine the impact of the COVID-19 pandemic on cancer patients and their perceptions. Twenty-two percent of patients reported that their cancer care was affected. Sixty-one percent of the population convinced that cancer patients were more susceptible to COVID-19 infection. Manifestly, there is a clear difference between our results and the literature, despite our different methodologies. We justified this considering the difference between military and other healthcare systems, in terms of patient load (selected and lesser eligible population for military medical services), presence of a fully trained military medical staff, and presence of expert leaders to respond to various types of disasters, which permitted a rapid and comprehensive services adaptation to the new situation. From a methodology standpoint and to our knowledge, our study is the first to determine the impact of COVID-19 on cancer management using objective parameters rather than questionnaires. Data of 76 cases were collected from all military hospitals. Most of the patients developed symptoms (71.6%), essentially fever. A significant difference in terms of COVID-19 cases between Riyadh military hospital and other hospitals was noted; this was due to the difference in COVID-19 incidence between Riyadh and other cities. Remarkably, cancer complications were found to be the cause of death in 6 of the 23 patients who died rather instead of due to COVID-19 infections, as they recovered from COVID-19 prior to death. This limited number of infections among cancer patients was related to infection precaution education given routinely to these patients and the role of infection control and health staff in military hospitals. Wearing masks and frequent hand washing has always been the routine for cancer patients even prior to the COVID-19 era. The mortality rate was high among our population (22.3%) and was comparable to the literature. El Gohary et al performed a systematic review and meta-analysis to evaluate the impact of COVID-19 infection on cancer patients. They reported a 21.1% mortality rate, 45.4% severe/critical disease rate, 14.5% ICU admission rate, and 11.7% mechanical ventilation rate. This susceptibility of cancer patients to COVID-19 has been confirmed in many studies. Salunke et al conducted a systematic review and meta-analysis on 3775 patients of whom 63 (1.7%) had cancer. They found the percentage of ICU admission in COVID-19 patients with and without cancer of 40% vs. 8.4%. The pooled estimates of the death rate in COVID-19 patients with and without cancer were 20.83% vs. 7.82%. To determine predictive factors for poor outcomes in terms of severe respiratory distress (acute respiratory distress syndrome [ARDS]) or death, Yarza et al did a retrospective statistical analysis to describe the characteristics of the disease in 63 cancer patients. Thirty-four of them developed respiratory failure (70% as ARDS). The mortality rate was 25%, significantly higher among ARDS, neutropenic patients (p=0.01), and in those with bilateral infiltrates. This worse outcome for COVID-19 infected cancer patients noted by Kuderer et al in their cohort study. The authors found 121 (13%) deaths among 928 patients with active or previous malignancy and confirmed COVID-19-related severe acute respiratory syndrome. The susceptibility of cancer patients to COVID-19 complications encouraged oncologists to modify their practice. This was reported by Urun et al in their online survey that included 343 oncologists from 28 countries.Hormonal therapy and tyrosine kinase inhibitors were considered safe, where as cytotoxic chemotherapy and immune therapies were found to be risky. The majority of the participants were in favor of using less chemotherapy, immune checkpoint inhibitors, and steroids. Treatment in neo-adjuvant, adjuvant, and first-line metastatic disease was less effective. However, most of the participants were not encouraged to recommend second- or third-line therapies in metastatic disease. On the contrary, Angelis et al conducted a prospective epidemiological and clinical data collection of approximately 13,489 cancer patients between March 1 and April 30, 2020. Among this population, 0.84% were swab positive, 0.75% required hospital admission, and 0.21% died of COVID-19. Of the patients that attended the hospital to receive cytotoxic chemotherapy alone or together with other therapy, 2.9% admitted to the hospital for COVID-19 related issues and 0.21% died. Of the patients who visited for targeted treatments, 1.4% were admitted and 0.1% died. Of the 11 patients that had received radiotherapy, 0.6% required inpatient admission and 0.2% died. The authors concluded that systemic anticancer therapy appears to be associated with a modest risk of severe COVID-19 infection, and the continuation of active cancer treatment is appropriate.

Study limitations

This a multi-centric retrospective descriptive study including regional and referral centers, so there are some discrepancies in the data due to different set-ups and adopted procedures in terms of acceptance and treatment of oncological cases. In addition, the study did not focus on delay of diagnosis and its impact on cancer staging and treatment. Diagnosis is beyond oncology services. In conclusion, cancer management in Saudi Arabia’s military hospitals was not significantly affected during the first 6 months of the COVID-19 pandemic. However, it affected the early diagnosis of cancer patients in some hospitals due to limited diagnostic services available at the time and the delay of care by patients themselves due to fear of COVID-19 infection. Nonetheless, the collaboration between different military hospitals and Ministry of Health hospitals ensured continuous oncological care despite the increasing number of COVID-19 cases. If infected, cancer patients are at an increased risk for COVID-19 complications, including death. More follow-ups and further research is warranted to determine the real impact of COVID-19 on patients with cancer.
  23 in total

1.  Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study.

Authors:  Nicole M Kuderer; Toni K Choueiri; Dimpy P Shah; Yu Shyr; Samuel M Rubinstein; Donna R Rivera; Sanjay Shete; Chih-Yuan Hsu; Aakash Desai; Gilberto de Lima Lopes; Petros Grivas; Corrie A Painter; Solange Peters; Michael A Thompson; Ziad Bakouny; Gerald Batist; Tanios Bekaii-Saab; Mehmet A Bilen; Nathaniel Bouganim; Mateo Bover Larroya; Daniel Castellano; Salvatore A Del Prete; Deborah B Doroshow; Pamela C Egan; Arielle Elkrief; Dimitrios Farmakiotis; Daniel Flora; Matthew D Galsky; Michael J Glover; Elizabeth A Griffiths; Anthony P Gulati; Shilpa Gupta; Navid Hafez; Thorvardur R Halfdanarson; Jessica E Hawley; Emily Hsu; Anup Kasi; Ali R Khaki; Christopher A Lemmon; Colleen Lewis; Barbara Logan; Tyler Masters; Rana R McKay; Ruben A Mesa; Alicia K Morgans; Mary F Mulcahy; Orestis A Panagiotou; Prakash Peddi; Nathan A Pennell; Kerry Reynolds; Lane R Rosen; Rachel Rosovsky; Mary Salazar; Andrew Schmidt; Sumit A Shah; Justin A Shaya; John Steinharter; Keith E Stockerl-Goldstein; Suki Subbiah; Donald C Vinh; Firas H Wehbe; Lisa B Weissmann; Julie Tsu-Yu Wu; Elizabeth Wulff-Burchfield; Zhuoer Xie; Albert Yeh; Peter P Yu; Alice Y Zhou; Leyre Zubiri; Sanjay Mishra; Gary H Lyman; Brian I Rini; Jeremy L Warner
Journal:  Lancet       Date:  2020-05-28       Impact factor: 79.321

2.  Impact of the coronavirus disease 2019 pandemic on cancer treatment: the patients' perspective.

Authors:  K de Joode; D W Dumoulin; V Engelen; H J Bloemendal; M Verheij; H W M van Laarhoven; I H Dingemans; A C Dingemans; A A M van der Veldt
Journal:  Eur J Cancer       Date:  2020-07-04       Impact factor: 9.162

Review 3.  Preparedness and response to COVID-19 in Saudi Arabia: Building on MERS experience.

Authors:  Abdullah A Algaissi; Naif Khalaf Alharbi; Mazen Hassanain; Anwar M Hashem
Journal:  J Infect Public Health       Date:  2020-05-11       Impact factor: 3.718

4.  SARS-CoV-2 infection in cancer patients undergoing active treatment: analysis of clinical features and predictive factors for severe respiratory failure and death.

Authors:  Ramón Yarza; Mateo Bover; Diana Paredes; Flora López-López; Diego Jara-Casas; Alicia Castelo-Loureiro; Javier Baena; José María Mazarico; María Dolores Folgueira; María Ángeles Meléndez-Carmona; Alhena Reyes; Carlos Lumbreras; Luis Paz-Ares; Carmen Díaz-Pedroche; Carlos Gómez-Martín
Journal:  Eur J Cancer       Date:  2020-06-06       Impact factor: 9.162

5.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

6.  COVID 19 and Spanish flu pandemics: All it changes, nothing changes.

Authors:  Antonia Francesca Franchini; Francesco Auxilia; Paolo M Galimberti; Maria Antonella Piga; Silvana Castaldi; Alessandro Porro
Journal:  Acta Biomed       Date:  2020-05-11

7.  Defining the true impact of coronavirus disease 2019 in the at-risk population of patients with cancer.

Authors:  Vasileios Angelis; Zayd Tippu; Kroopa Joshi; Sara Reis; Firza Gronthoud; Charlotte Fribbens; Alicia Okines; Susannah Stanway; Emma Cottier; Sophie McGrath; David Watkins; Jillian Noble; Jaishree Bhosle; Marco Gerlinger; Intan Hamid; Heba Soliman; Pablo Nenclares; Robin Jones; Kevin Harrington; Spyridon Gennatas
Journal:  Eur J Cancer       Date:  2020-07-07       Impact factor: 9.162

Review 8.  Middle East respiratory syndrome.

Authors:  Ziad A Memish; Stanley Perlman; Maria D Van Kerkhove; Alimuddin Zumla
Journal:  Lancet       Date:  2020-03-04       Impact factor: 79.321

9.  Survey of the Impact of COVID-19 on Oncologists' Decision Making in Cancer.

Authors:  Yüksel Ürün; Syed A Hussain; Ziad Bakouny; Daniel Castellano; Saadettin Kılıçkap; Gilberto Morgan; Rana R Mckay; Kevin Pels; Andrew Schmidt; Deborah B Doroshow; Fábio Schütz; Laurence Albiges; Gilberto Lopes; James W F Catto; Solange Peters; Toni K Choueiri
Journal:  JCO Glob Oncol       Date:  2020-08

10.  Epidemiology of COVID-19 in the Kingdom of Saudi Arabia: An Ecological Study.

Authors:  Mohammad H Alyami; Abdallah Y Naser; Mohamed A A Orabi; Hassan Alwafi; Hamad S Alyami
Journal:  Front Public Health       Date:  2020-09-17
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  1 in total

Review 1.  Organisation of cancer care in troubling times: A scoping review of expert guidelines and their implementation during the COVID-19 pandemic.

Authors:  Brenda Bogaert; Victoria Buisson; Zizis Kozlakidis; Pierre Saintigny
Journal:  Crit Rev Oncol Hematol       Date:  2022-03-23       Impact factor: 6.625

  1 in total

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