key: cord-0883187-b87yi8k4 authors: Al Harthi, Saud; Al Osali, Magdi; Al Ismaili, Ruwaida; Al Lawati, Sultan; Kamble, Bina; Al Shaaibi, Mustafa; Al Kindi, Nasser; Al Qasabi, Salim; Alhinai, Mohammed; Al Harthi, Hamad; Al Ghafri, Thamra S title: Clinical Characteristics of Confirmed Cases of COVID-19 Admitted at Al Nahdha Hospital, Oman: A Cross-Sectional Descriptive Study date: 2021-08-21 journal: Cureus DOI: 10.7759/cureus.17343 sha: 56db050fe788f3bd23b1cd4da2f8d0a8fc82d873 doc_id: 883187 cord_uid: b87yi8k4 Background and objective Coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern. Several characteristics of hospitalised cases, including variations in symptoms as well as radiological and laboratory findings, have been described. However, the exact clinical spectrum of hospitalised patients with COVID-19 in Oman is currently unclear. The objective of this paper was to describe the sociodemographic, clinical, laboratory, and radiological characteristics, as well as the treatment and clinical outcomes of the confirmed cases of COVID-19 at Al Nahdha Hospital, Oman. Additionally, factors associated with the severity of the disease were identified. Methodology This was a cross-sectional descriptive study of hospitalised COVID-19 patients. The required data were retrieved from the electronic health information system for the period from 3rd March to 9th May 2020. Information was recorded in a bespoke sheet and exported to SPSS Statistics (IBM, Armonk, NY) for analysis. Results A total of 102 admissions were included in this study. The mean age of the cohort was 49.9 (14.7) years. The majority were males (77.5%), and more than half were expatriates (56.9%). Diabetes and hypertension were found in 39.2% and 36.3% of the study population, respectively. Common symptoms encountered were dry cough (78.3%), fever (76.5%), and shortness of breath (SOB) (69.6%). Radiologically, bilateral infiltrations were present in 73.5% of the patients. Only 19 cases required critical care (18.6%), and those were mostly older [54.1 (13.4) years], males (89.5%), and non-nationals (63.2%). Significant factors associated with requiring critical care were symptoms of SOB (89.5% vs 65.1%, p=0.03), diabetes (68.4% vs 32.5%, OR=1.5, p=0.004), chronic artery disease (15.8% vs 3.6%, OR=1.7, p=0.04), and diagnosis of acute respiratory distress symptoms (63.2% vs 6.0%, p<0.001). Additionally, the mean ferritin levels were significantly higher in cases requiring critical care [2350.4 (423.8) vs 795.7 (554.3), p=0.005]. Depending on disease severity, the treatment included antibacterials, antivirals, heparin, and steroids. The utilisation of steroids was significantly higher in the cases requiring critical care (63.2% vs 26.5%, p=0.001). Among cases that required critical care (n=19), nine died (death rate=47.4%). Conclusions This study has provided fundamental information about the clinical characteristics of confirmed COVID-19 cases in Oman, including factors associated with the disease's severity. Results from this study can be utilised to update the COVID-19 management guidelines for hospitalised patients. The World Health Organisation (WHO) has declared coronavirus disease 2019 (COVID-19) as a public health emergency of international concern. As of 12th June 2020, a total of 750,3193 laboratory-confirmed cases of COVID-19 had been reported globally, with 421,289 deaths. The pathogen that causes COVID-19 was identified in samples of bronchoalveolar lavage fluid from a patient in Wuhan, China [1] . The full-genome sequencing showed that this pathogen/virus is distinct from the beta coronaviruses associated with human severe acute respiratory syndrome coronavirus (SARS-CoV) 1 2 2 2 2 2 2 2 3 2 4 [2] . It has been reported that bats were the primary source of this virus. However, current evidence suggests that it spread to humans via transmission from wild animals illegally sold at the Huanan Seafood Wholesale Market [3] . Despite mild symptoms from beta coronaviruses, mortality rates have been as high as 10% for respiratory illness caused by the SARS-CoV [4] and 37% for Middle East respiratory syndrome coronavirus (MERS-CoV) [5] over the last 20 years. Recent studies have revealed that symptoms of COVID-19 infections are similar to that of SARS-CoV-2 [2] . However, many factors related to the presentation of COVID-19 disease are not yet fully understood [6] . The clinical manifestations reported in patients include fever, non-productive cough, dyspnoea, fatigue, myalgia, normal or decreased leukocyte counts, and radiographic evidence of pneumonia. Organ dysfunction and death have been reported in severe cases [2] . Like all countries globally, Oman has also responded resolutely to the alert from WHO about the rapid spread of this virus in February 2020. The first case of COVID-19 in Oman was identified on 23rd February 2020, and it was linked to travel from a nearby country. As of 12th June 2020, 21 This was a cross-sectional descriptive study about confirmed COVID-19 cases at the Al Nahdha Hospital. All admitted adult patients with COVID-19 (confirmed cases) from 3rd March to 9th May 2020 were included. COVID-19 was diagnosed on the basis of the WHO 2020 interim guidelines [6] . A confirmed case of COVID-19 was defined as one with the positive result for real-time reverse-transcriptase-polymerase-chain reaction (RT-PCR) assay of nasal and pharyngeal swab specimens [2] . Only laboratory-confirmed cases were included in the analysis. Data was reviewed and analysed by a research team from the Department of Medicine. The hospital's health information system, "Al Shifa system", was used as the main source of data. A trained team of clinical researchers reviewed the data. The information recorded included the following parameters: Demographic data: age, gender, nationality, employment, and referring institute. Treatment measures: antibiotics, antiviral therapy, corticosteroid therapy, respiratory support, and other supportive therapies according to the COVID-19 national guideline. The hospital stay was calculated from the day of admission to the Al Nahdha Hospital to the day of discharge or transfer to another tertiary care hospital for critical care. Frequency tables [mean and interquartile range (IQR) values] were used to describe continuous variables. The categorical variables were described as frequency rates and percentages. Except for age, duration of symptoms, pre-diagnosis, and hospital stay, all other variables were classified into two categories based on the national guidelines and cut-off points. Chest X-ray was categorised into normal, unilateral, or bilateral infiltrates. The variable on severity was divided into "severe" if patients required critical care or "non-severe" if they did not require critical care. Differences in proportions of "severe" and "non-severe" cases were compared across the studied variables. Average point statistical imputations were used for missing laboratory data. For comparisons of means between two independent continuous samples, a t-test was used when the data were normally distributed. Proportions for categorical variables were compared using the χ2 test, although the Fisher's exact test was used when the data were limited. All statistical analyses were performed using SPSS Statistics version 22 software (IBM, Armonk, NY). A two-sided α of less than 0.05 was considered statistically significant. The trend of admissions from 3rd March to 9th May The mean age of the study population was 49.9 (14.7) years ( Table 1) . The majority of patients were males [77.5% (n=79)], and more than half were non-nationals [56.9% (n=58)]. Although not statistically significant, the proportion of expatriates requiring critical care was higher than their Omani counterparts (63.2% vs 36.8%, p=0.6). Of note, 46% of the cases were from India (23%) and Bangladesh (22%) vs 43.1% Omanis. Others were from Pakistan (9.0%), Iran (2.0%), and Lebanon (1%). Data on occupation was missing for almost half of the population; however, 36.3% of the population reported as being employed. Most of the cases were referred from primary healthcare centres (PHC) (65.7%). Other referrals were from the private health facilities (14.7%), quarantine institutions (4.9%), arrivals from the Muscat International Airport (2.0%), and emergency departments (12.8%). Patients who required critical care were older than those who did not require critical care [mean age of 54.1 (13.4) years vs 48.9 (14.9) years, respectively]; however, this difference was not statistically significant (p=0.1). More than a third of the patients had diabetes (39.2%). The proportion of patients with diabetes among those who required critical care was higher than those who did not require critical care (68.4% vs 32.5%), and this difference was statistically significant (p=0.004). Patients with diabetes had higher odds of requiring critical care by 1.5 times than their counterparts without diabetes (Table 1) . Similarly, patients with CAD had 1.7 times higher odds of requiring critical care than those who did not have CAD. Further analysis of the CAD sub-group showed that all patients with severe COVID-19 had diabetes. The presence of other comorbidities such as hypertension (36.3%), CKD (4.9%), asthma (1.0%), presence of old tuberculosis (TB) (1.0%), and HIV (1.0%) was all not significantly associated with requiring critical care. The average number of days from the date of symptom appearance to admission was 7.7 (4.2) days. The most common presenting symptom was SOB (69.6%). The proportion of patients presenting with SOB was significantly higher among those who required critical care compared to those who did not require critical care (89.5% vs 65.1% respectively, OR=1.3, p=0.03) ( According to the national Omani diagnostic criteria [9] , the majority of the patients were diagnosed with pneumonia (92.2%). However, the proportion of patients with ARDS was significantly higher in those requiring vs not requiring critical care (63.2% vs 6.0% respectively, p<0.001) ( Table 2) . All patients from both groups, requiring and not requiring critical care, had high levels of CRP (100% vs 92.8%), D-dimer (57.9% vs 57.8%), and LDH (94.7% vs 81.9%), respectively. However, these proportions were not significantly associated with the severity of the disease. On the other hand, serum ferritin levels were significantly higher in those requiring critical care (100% vs 80.7%, p=0.03). The results from the t-test for two independent samples consistently showed that the difference in mean ferritin levels between the two groups was significant (p=0.005). 2 (15.1), [0.3, 0.6, 1.0] 2.8 (15.1), [0.3, 0.0.6, 0. 6 (275.0), [6.0, 7.0, 13.0] 9.0 (6.9), [5.0, 6.0, 10.0 CXRs showed bilateral infiltrations in 73.5% of the patients (89.5% in patients requiring critical care vs 68.7% in those not requiring critical care). The difference in proportions in reported findings from the CXRs between the two groups was borderline significant (p=0.05). Oseltamivir was utilised by 94.1% of the patients ( This was a descriptive study that looked into the sociodemographic and clinical characteristics of confirmed cases of COVID-19 at Al Nahdha Hospital in Muscat, Oman. The analysis was confined to admissions from 3rd March to 9th May 2020. Results showed an increase in the number of admissions for confirmed COVID-19 cases in the hospital, reflecting the increase in the total number of confirmed cases nationally. Overall, a total of 102 admissions were included in this study. The mean age of the cohort was 49.9 (14.7) years. The majority of the patients were males (77.5%), and more than half were expatriates (56.9%). Notably, the population of Oman is 463,1060, of which 41% are non-nationals/expatriates, according to the data from the National Centre for Statistics and Information in 2020. There was a surge of admissions among the expatriates. Hence, the collaboration between the public and private entities was enhanced to ensure Universal Health Coverage (UHC), defined as equity and social justice in providing healthcare services [10, 11] . Hence, in Oman, medical services for COVID-19 are free of charge to all expatriates. Most referrals to Al Nahdha Hospital came from PHCs that are accessible to the public. Risk factors such as a history of travel to a country with COVID-19 epidemic outbreaks, as well as smoking, alcohol consumption, and obesity were all uncommon. However, these results were reported subjectively, indicating the possibility of a recall bias. Diabetes and hypertension were observed in 39.2% and 36.3% of the study population, respectively. Additionally, the presence of diabetes and CAD in patients in the current study were significantly associated with requiring critical care [12, 13] . A meta-analysis from China (n=1527 patients) has reported that the most common cardiovascular-metabolic comorbidities associated with COVID-19 were hypertension, cardiocerebrovascular disease, and diabetes (17.1%, 16.4%, and 7%, respectively). In this report, patients with diabetes had a 1.5-fold increase in the risk of requiring critical care admission, while those with CAD had a 1.7-fold increase. In a subset of 355 patients with COVID-19 in Italy who succumbed to the disease, the mean number of pre-existing underlying conditions was 2.7, and only three subjects did not have any comorbidities [14] . Like its neighbouring countries (Saudi Arabia, United Arab Emirates, Qatar, and Bahrain), Oman has high rates of diabetes, exceeding the global estimates [15] . Diabetes is consistently reported to be one of the leading causes of morbidity and mortality worldwide [15] . This disease, especially in older populations, is associated with infections, particularly influenza and pneumonia [16] . However, more evidence may be required to explore the factors associated with increased susceptibility to infections in individuals with diabetes and other cardiovascular and renal comorbidities [12, 17] . These findings suggest that patients with diabetes and CAD should be protected from COVID-19 and managed promptly if they contract the disease. Unlike other studies, asthma and other comorbidities in the current study were not significantly associated with requiring critical care [12, 13] . Future studies may consider a larger sample size to explore any associations. Only 19 cases (18.6%) required critical care and thus were transferred to other hospitals with intensive care facilities. Out of the 19 severe cases, 47.4% (n=9) died (8.8% of the total admissions), which is less than reported death rates in similar studies (66.3%) in the UK [18] and more than the reported rate (15%) in China [1, 19] . Reasons for these differences in death rates across studies could be attributed to differences in the study populations and hospital capacities. Notably, out of the commonly reported symptoms of fever, cough, fatigue, and sputum production, this study showed that SOB was the only symptom significantly associated with requiring critical care. The absence of fever in COVID-19 (23.5%) is more frequent than in SARS-CoV and MERS-CoV infections (1% and 2% respectively) [20] , and hence afebrile individuals may have been missed if the surveillance case definition was centred around fever detection [21] . Headache, upper respiratory symptoms (e.g., sore throat and rhinorrhea), and gastrointestinal symptoms (e.g., nausea and diarrhoea) occurred less often than reported elsewhere [19] . Although not described in the literature from China, smell and taste disorders (anosmia and dysgeusia) were reported by patients from the current study, confirming the reports from patients with COVID-19 in Italy [14] . In laboratory examination results from several studies, most patients had abnormal or decreased WBC counts, particularly lymphocytopenia [2] . In the current study, less than half of our patients had lymphopenia (43.1%). D-dimer levels were elevated in more than half of the patients. This finding was reported to be high in COVID-19 cases [22] . Serum ferritin was the only parameter that was significantly higher in patients requiring critical care; this is consistent with the findings from a recent study that confirmed high levels of ferritin in severe cases of COVID-19 [23] . Similarly, hyperferritinemia was documented as common in severe cases with septic shock and other medical conditions characterised by macrophage response activation [24] . Thus, high ferritin can be considered as a marker for monitoring the severity of COVID-19 cases. Abnormalities in CXR were detected in the majority of the patients and were significantly higher in those requiring critical care. This finding confirms the evidence reported in several papers [19] . Additionally, similar to the existing reports, most patients presented with pneumonia and ARDS [19] . In the current study, there was 6% of cases diagnosed with ARDS that did not require critical care. Early management could explain this finding, with supportive care and prone manoeuvres preventing deterioration and thus the need for critical care [25] . Till now, except for meticulous supportive care, there is no specific treatment for coronavirus infection [26] . The approach to this disease is to contain the spread of the virus (use of personal protective equipment and taking precautions to reduce the risk of transmission), early diagnosis, isolation, and supportive treatments for the positive cases [6] . The effectiveness of hydroxychloroquine and antibacterial and antiviral agents are inconclusive [2, 27] . Despite the lack of robust evidence on the use of hydroxychloroquine in COVID-19, most of the cases in the current study received it and had favorable outcomes. Further well-designed trials are warranted in the future to evaluate the efficacy of hydroxychloroquine in accelerating the recovery of hospitalised COVID-19 cases. Most of the patients in this study received antibacterial agents; more than a third received antiviral therapy, 77.5% received heparin, and 33.3% received steroids depending on disease severity. Administrating corticosteroids in severe cases of COVID-19 has been supported in several recent studies from China [28] and the UK [29] . This approach is expected to enhance recovery and reduce mortalities. This study has some limitations. Firstly, some variables' subjective nature (dates of onset of symptoms, history of smoking, obesity, and other reported risk factors) may have introduced a recall bias. Secondly, this study cohort may represent the more severe end of COVID-19 as asymptomatic cases or those with mild symptoms (treated at home) were not encountered in this study. Thirdly, many patients did not undergo sputum bacteriologic or fungal assessment on admission because medical resources were overwhelmed. Finally, missing data on the cases' socioeconomic status would have highlighted the non-clinical provisional factors associated with the severity of the disease. Despite these limitations, this study provides evidence on the main sociodemographic and clinical characteristics of confirmed cases of COVID-19 in an Arabic-speaking country where such information is sparse in the current literature. More work is needed specifically from the Arab world to compare and contrast experiences on COVID-19 with the rest of the world. Most of the confirmed cases of COVID-19 in this study were males and expatriates. Less than 20% of the study population required critical care. Diabetes was a significant predictor for requiring critical care. Despite some variations in initial symptoms, most COVID-19 patients had respiratory symptoms. Depending on disease severity, the treatment included antibacterials, antivirals, heparin, and steroids. Results from this study can be utilised to design and implement further management plans for COVID-19-positive cases in hospital settings. Human subjects: Consent was obtained or waived by all participants in this study. Regional Research Committee in the Ministry of Health in Oman issued approval MH/DGHS/DPT/576/2020. All methods were performed in accordance with the regulations of the Ministry of Health, Oman. Data was collected from the existing electronic hospital information system and informed consents were not applicable. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. 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Special thanks to the TRC for funding this project.