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. 2020 May 15;7:231. doi: 10.3389/fmed.2020.00231

Clinical Features, Diagnosis, and Treatment of COVID-19 in Hospitalized Patients: A Systematic Review of Case Reports and Case Series

Azin Tahvildari 1,, Mahta Arbabi 1,, Yeganeh Farsi 1,, Parnian Jamshidi 1,, Saba Hasanzadeh 1,, Tess Moore Calcagno 2,, Mohammad Javad Nasiri 3,*, Mehdi Mirsaeidi 2,*
PMCID: PMC7242615  PMID: 32574328

Abstract

Introduction: The 2019 novel coronavirus (COVID-19) has been declared a public health emergency worldwide. The objective of this systematic review was to characterize the clinical, diagnostic, and treatment characteristics of hospitalized patients presenting with COVID-19.

Methods: We conducted a structured search using PubMed/Medline, Embase, and Web of Science to collect both case reports and case series on COVID-19 published up to April 24, 2020. There were no restrictions regarding publication language.

Results: Eighty articles were included analyzing a total of 417 patients with a mean age of 48 years. The most common presenting symptom in patients who tested positive for COVID-19 was fever, reported in up to 62% of patients from 82% of the analyzed studies. Other symptoms including rhinorrhea, dizziness, and chills were less frequently reported. Additionally, in studies that reported C-reactive protein (CRP) measurements, a large majority of patients displayed an elevated CRP (60%). Progression to acute respiratory distress syndrome (ARDS) was the most common complication of patients testing positive for COVID-19 (21%). CT images displayed ground-glass opacification (GGO) patterns (80%) as well as bilateral lung involvement (69%). The most commonly used antiviral treatment modalities included, lopinavir (HIV protease inhibitor), arbidiol hydrochloride (influenza fusion inhibitor), and oseltamivir (neuraminidase inhibitor).

Conclusions: Development of ARDS may play a role in estimating disease progression and mortality risk. Early detection of elevations in serum CRP, combined with a clinical COVID-19 symptom presentation may be used as a surrogate marker for the presence and severity of the disease. There is a paucity of data surrounding the efficacy of treatments. There is currently not a well-established gold standard therapy for the treatment of diagnosed COVID-19. Further prospective investigations are necessary.

Keywords: COVID-19, clinical characteristics, diagnosis, treatment, systematic review

Introduction

Late in December 2019 and early in January 2020, reports of a very progressive pneumonia-like respiratory syndrome, starting in Wuhan, China, induced global health concerns (1). Soon after the onset of disease, it was found that the pathogen was a new member of the coronaviridae family, named SARS-COV-2 which is now called 2019-n-CoV (2). The respiratory syndrome caused by 2019-n-CoV is called COVID-19. COVID-19 is characterized by low-grade fever, cough, dyspnea, lymphopenia, and ground-glass opacities on chest CT scan (3, 4). COVID-19 is a highly contagious disease, probably an aerosol born one, with human to human transmission capacity which has implicated many countries all around the world (5). In this review article, we systematically surveyed case reports and case series from many countries in the world to give a picture of the epidemiology, clinical presentations, laboratory changes, imaging findings, diagnostic criteria, treatments, outcomes, prognostic factors, and risk factors of COVID-19 in hospitalized patients.

Methods

This review conforms to the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA) statement (6).

Search Strategy

We carried out systematic searches of the literature in the following bibliographical databases: PubMed/Medline, Embase, and Web of Science. Search criteria included case reports and case series articles published up to April 24, 2020, and there were no restrictions regarding publication language. We used Google Translate for eligible articles published in languages other than English. The search terms for our review were: COVID-19, severe acute respiratory syndrome coronavirus 2, novel coronavirus, SARS-CoV-2, nCoV disease, SARS2, COVID-19, 2019-nCoV, coronavirus disease-19, coronavirus disease 2019, and 2019 novel coronavirus.

Study Selection

Studies included in the review met the following criteria: prospective or retrospective descriptive case reports and case series of COVID-19 in the hospital setting which included diagnostic methods, clinical manifestations, laboratory features, treatment, and outcomes. Articles describing experimental approaches as well as reviews and publications without peer-review processes were excluded.

All potentially relevant articles were screened in two stages for eligibility. In the first stage, the titles and abstracts of potentially relevant articles were screened independently by two reviewers (YF, PJ). In the second stage of assessment, the full text of those abstracts which met the inclusion criteria was retrieved and independently reviewed by the same authors. Disagreements and technical uncertainties were discussed and resolved between review authors (AT, SH, MA, MJN).

Data Extraction

The extracted data included bibliographic data, patient demographics (e.g., age and gender), radiological and laboratory findings, treatment protocols, and medical consequences. Two authors (AT, SH) independently extracted the data from the selected studies. The data was jointly reconciled, and disagreements were discussed and resolved between review authors (YF, PJ, MA, MJN).

Quality Assessment

The critical appraisal checklist for case reports provided by the Joanna Briggs Institute (JBI) was used to perform a quality assessment of the studies (7).

Results

As illustrated in Figure 1, our systematic search resulted in an initial number of 6,004 of potentially relevant articles, of which 1,033 were excluded by title and abstract evaluation. Applying the inclusion/exclusion criteria to the full-text documents, 80 articles were eligible for inclusion in the systematic review. 42 case reports and 38 case series from 19 countries were identified with a total of 417 unique cases of COVID-19 with a mean age of 48 years (Table 1). The included case reports were published because of the following reasons: they reported (1) new CT findings; (2) new clinical manifestations; (3) new laboratory findings, (4) new treatment outcomes; (5) atypical manifestations and some were the first one in a specific country. Based on the JBI tool, the included studies had a low risk of bias. RT-PCR COVID-19 was present in 79 (95%) articles as inclusion criteria. In addition to RT-PCR, a CT scan served as a diagnostic tool in 16 (19%) of papers. Reported comorbidities included hypertension, diabetes, cardiovascular disease, and pulmonary disease. Hypertension was investigated the most, studied in 22/83 (26.5%) of papers. Of the 16 COVID-19 positive patients found in the studies investigating hypertension, 44 patients were hypertensive (19%) (Table 2). Lymphopenia was reported in 24 studies which identified 83/185 (45%) of COVID-19 positive patients. Additionally, in studies that reported C-reactive protein (CRP) measurements, a large majority of patients displayed an elevated CRP (60%). CT images commonly displayed ground-glass opacification (GGO) patterns (82%) as well as bilateral lung involvement (66%). Progression to acute respiratory distress syndrome (ARDS) was the most common complication of patients testing positive for COVID-19. We found 11/83 (13.2%) reports on Acute Respiratory Distress Syndrome (ARDS), 18 of 86 (21%) investigated cases had ARDS. Mortality outcomes were difficult to assess; only 10 studies showed mortality data in which 17/108 (16%) COVID-19 patients died. A wide range of therapeutic modalities was tried across studies, with antiviral treatments being the most used.

Figure 1.

Figure 1

Flow chart of study selection for inclusion in the systematic review.

Table 1.

Characteristics of the included studies.

References Country Published time Type of study Mean age Male/
Female
No. of patient (s) Diagnostic methods
Kim et al. (8) South Korea 19, Feb, 2020 Case report 45 1M,1F 2 RT-PCR/CT-scan
Yu et al. (9) China 18, Feb, 2020 Case report 74.2 2M, 2F 4 RT-PCR
Bastola et al. (10) Nepal 10, Feb, 2020 Case report 32 M 1 RT-PCR
Duan and Qin (11) China 4, Feb, 2020 Case report 46 F 1 RT-PCR/CT-scan
Fang et al. (12) China 19, Feb, 2020 Case report 47 M 1 RT-PCR/CT-scan
Han et al. (13) China 19, Feb, 2020 Case report 47 M 1 RT-PCR/CT-scan
Wei et al. (14) China 25, Feb, 2020 Case report 62 M 1 RT-PCR/CT-scan
Holshue et al. (15) USA 5, Mar, 2020 Case report 35 M 1 RT-PCR
Lim et al. (16) South Korea 14, Feb, 2020 Case report 54 M 1 RT-PCR/CT-scan
Shi et al. (17) China 4, Feb, 2020 Case report 42 M 1 RT-PCR/CT-scan
Silverstein et al. (18) Canada 13, Feb, 2020 Case report 56 M 1 RT-PCR
Wei et al. (19) China 17, Feb, 2020 Case report 40 F 1 RT-PCR
Wu et al. (20) China 3, Feb, 2020 Case report 41 M 1 RT-PCR
Xu et al. (21) China 17, Feb, 2020 Case report 50 M 1 RT-PCR
Winichakoon et al. (22) Thailand 26, Feb, 2020 Case report 28 M 1 RT-PCR
Zhan et al. (23) China 28, Jan, 2020 Case report 38 1M, 1F 2 RT-PCR
Fang et al. (24) China 7, Feb, 2020 Case report 38.5 1M,1F 2 RT-PCR/CT-scan
Lin et al. (25) China 11, Feb, 2020 Case report 37 M 2 RT-PCR/CT-scan
Liu et al. (26) Taiwan 12, Mar, 2020 Case report 51 1M, 1F 2 RT-PCR
Phan et al. (27) Vietnam 27, Feb, 2020 Case report Father: 65, Son: 27 M 2 RT-PCR
Pongpirul et al. (28) Thailand 12, Mar, 2020 Case report 51 M 1 RT-PCR
Hao et al. (29) China 2, Feb, 2020 Case report 60 M 1 RT-PCR/CT-scan
Hao and Li (30) China 17, Feb, 2020 Case report 58 M 1 RT-PCR
Zhang et al. (31) China 11, Feb, 2020 Case report 3 months 1M 1 RT-PCR
Bai et al. (32) China 17, Feb, 2020 Case series 53.4 3M/4F 7 RT-PCR
Cai et al. (33) China 4, Feb, 2020 Case report 7 1M 1 RT-PCR
Zeng et al. (34) China 17, Feb, 2020 Case report 17 days 1M 1 RT-PCR
Chan et al. (35) China 24, Jan, 2020 Case series 46 3M,3F 6 RT-PCR
Chen et al. (36) China 12, Feb, 2020 Case series 29.8 F 9 RT-PCR/CT-scan
Wei et al. (37) China 21, Feb, 2020 Case series 6 months 2 M, 7F 9 RT-PCR
Qin et al. (38) China 22, Feb, 2020 Case series 55.5 2M, 2F 4 CT-scan
Wang et al. (39) China 9, Feb, 2020 Case series 44.2 3M, 1F 4 RT-PCR/CT-scan
Xie et al. (40) China 12, Feb, 2020 Case series 48.4 M4, F1 5 RT-PCR
Yoon et al. (41) Korea 18, Feb, 2020 Case series 54 4M, 5F 9 CT-scan
Stoecklin et al. (42) France 13, Feb, 2020 Case series 36.3 2M, 1F 3 RT-PCR
Rothe et al. (43) Germany 5, Mar, 2020 Case series 33 NR 5 RT-PCR
Bai et al. (44) China 21, Feb, 2020 Case series 42-57 1M, 5F 6 RT-PCR
Tong et al. (45) China 9, May, 2020 Case series 31 4M, 3F 7 RT-PCR
Feng et al. (46) China 16, Feb, 2020 Case series 7 5M/10F 15 RT-PCR
Zhang et al. (47) China 15, Feb, 2020 Case series 36 5M/4F 9 RT-PCR
Liu et al. (48) China 17, Feb, 2020 Case series 35 10M/20F 30 RT-PCR
Albarello et al. (49) Italy 20, Feb, 2020 Case series 66.5 1M/1F 2 RT-PCR
Asadollahi-Amin et al. (50) Iran 7, Apr, 2020 Case report 44 M 1 RT-PCR
Bhat et al. (51) USA 11, Apr, 2020 Case series 54.5 6M/2F 8 RT-PCR
Chen et al. (52) China 1, Apr, 2020 Case series 52.6 2M/1F 3 RT-PCR
Wang et al. (53) China 9, Apr, 2020 Case series 42 11M/15F 26 RT-PCR
Liu et al. (54) China 16, Apr, 2020 Case series 54 2M/1F 3 RT-PCR
Lu et al. (55) China 19, Mar, 2020 Case series NM NM 3 RT-PCR
Lin et al. (56) China 22, Feb, 2020 Case report 61 M 1 RT-PCR
Mousavi et al. (57) Afghanistan 5, Apr, 2020 Case report 35 M 1 RT-PCR
Hamer et al. (58) Germany 26, Mar, 2020 Case report 59 M 1 RT-PCR
Gupta et al. (59) India 10, Apr, 2020 Case series 40.3 14M/7F 21 RT-PCR
Moreira et al. (60) Brazil 3, Apr, 2020 Case report 73 M 1 RT-PCR
Gao et al. (61) China 24, Mar, 2020 Case series 54.6 1M/2F 3 RT-PCR
Marchand-Senécal et al. (62) Canada 9, Mar, 2020 Case report 56 M 1 RT-PCR
Lin et al. (25) China 11, Feb, 2020 Case series 37 2M 2 RT-PCR
Makurumidze (63) Zimbabwe 2, Apr, 2020 Case series NM 2M/6F 8 RT-PCR
Li et al. (64) China 7, Apr, 2020 Case series 8 12M/10F 22 RT-PCR
Li et al. (65) China 6, Apr, 2020 Case report 74 F 1 CT-Scan
Li et al. (66) China 30, Mar, 2020 Case series 61 13M/12F 25 RT-PCR
Cheng et al. (67) Taiwan 16, Apr, 2020 Case report 55 F 1 RT-PCR
Edrada et al. (68) Philippines 14, Apr, 2020 Case series 41.5 1M/1F 2 RT-PCR
Feng et al. (69) China 7, Apr, 2020 Case report 34 M 1 CT-Scan
Woznitza et al. (70) UK 2, Apr, 2020 Case series 78 1M/2F 3 RT-PCR
Zeng et al. (71) China 5, Apr, 2020 Case report 63 M 1 RT-PCR
Zhang et al. (72) China 18, Mar, 2020 Case report 64 M 1 RT-PCR
Zhou et al. (73) China 3, Apr, 2020 Case series NM 1M/3F 4 RT-PCR
Torkian et al. (74) Iran 27, Mar, 2020 Case series 46 2M/1F 3 RT-PCR
Tan et al. (75) China 3, Apr, 2020 Case series 7 3M/7F 10 RT-PCR
Hase et al. (76) Japan 2, Apr, 2020 Case report 35 F 1 RT-PCR
Huang et al. (77) Taiwan 19, Feb, 2020 Case series 73.7 2F 2 RT-PCR
Hu et al. (78) China 4, Mar, 2020 Case series 32.5 8M/16F 24 RT-PCR
Hu et al. (78) Italy 27, Mar, 2020 Case report 53 F 1 RT-PCR
Kim et al. (79) South Korea 6, Apr, 2020 Case series 40 15M/13F 28 RT-PCR
Kim et al. (80) South Korea 3, Feb, 2020 Case report 35 F 1 RT-PCR
Kong et al. (81) South Korea 14, Feb, 2020 Case series 42.6 15M/13F 28 RT-PCR
Lee et al. (82) Taiwan 10, Mar, 2020 Case report 46 F 1 RT-PCR
Lescure et al. (83) France 27, Mar, 2020 Case series 47 3M/2F 5 RT-PCR
Wissenberg et al. (84) Denmark 3, Apr, 2020 Case report 50 M 1 RT-PCR
Li et al. (85) China 1, Mar, 2020 Case series 55 2M/1F 3 RT-PCR

Table 2.

Summary of the case report and case series findings.

Variables Number
of studies
n/N* %
Comorbidities Hypertension 22 44/228 19
Cardiovascular disease 6 11/137 8
Diabetes 17 27/241 11
Pulmonary disease 8 13/107 12
Clinical manifestations Fever 68 248/401 62
Cough 39 195/389 50
Dyspnea 30 78/279 28
Myalgia/fatigue 38 106/343 31
Sputum production 14 49/197 25
Sore throat 20 48/164 29
Headache 11 37/149 25
Diarrhea 14 21/94 22
Nausea/vomiting 8 17/84 20
Dizziness 5 5/35 14
Rhinorrhea 13 22/196 11
Chills 4 4/13 31
Laboratory findings Lymphopenia 24 83/185 45
Leukopenia 17 38/150 25
Thrombocytopenia 8 26/69 38
High CRP 18 118/197 60
High LDH 14 34/77 44
High ESR 10 17/42 40
High AST 11 23/48 48
High ALT 13 22/77 28.5
High creatinine kinase 8 9/44 20
High creatinine 4 6/32 19
CT Both of GGO and Consolidation 16 32/59 54
GGO without consolidation 20 48/60 80
Unilateral 11 35/87 40
Bi lateral 23 76/110 69
Complications ARDS 11 18/86 21
Hospitalization 30 77/83 93
Outcomes Discharged 23 137/205 67
Death 10 17/108 16
*

n, number of patients with any variables; N, the total number of patients with COVID-19.

Common antiviral treatment modalities included lopinavir (HIV protease inhibitor), arbidiol hydrochloride (influenza fusion inhibitor), and oseltamivir (neuraminidase inhibitor). In Table 3 we summarize all of the drugs used.

Table 3.

Treatment agents used in the included studies.

Treatment Agents Number of studies n/N* %
Pharmacologic treatment Antiviral drugs Lopinavir 6 9/9 100
Arbidol hydrochloride 2 6/6 100
Oseltamivir 5 1/1 100
Veletonavir 1 1/1 100
Remdesivir 1 1/1 100
Ribavirin 1 1/1 100
Ritonavir 1 1/1 100
Gancyclovir 1 1/1 100
Antibacterial drugs Moxifloxacin 4 5/5 100
Vancomycin 1 1/1 100
Cefepime 1 1/1 100
Meropenem 2 2/2 100
Piperacillin tazobactam 2 2/2 100
Sefoselis 1 1/1 100
Linezolid 1 1/1 100
Levofloxacin 1 1/2 50
Others Methylprednisolone 5 6/6 100
Ambroxol Hydrochloride 1 1/1 100
Acetaminophen 2 2/2 100
Ibuprofen 2 2/2 100
Intravenous Immunoglobulin 3 4/7 57
Guaifenesin 1 1/1 100
Ondansetron 1 1/1 100
Interferon alpha-2b 2 2/2 100
Herbal patent medicine 2 3/3 100
Non-pharmacologic treatment Oxygen therapy Non-invasive 6 10/10 100
*

n, number of patients under treatment; N, the total number of patients with COVID-19.

Discussion

The 2019 novel coronavirus has been declared a public health emergency worldwide. The World Health Organization (WHO) declared COVID-19 a pandemic affecting 110 countries around the world with a continued global spread. The 2019-nCoV is likely to be transmitted by asymptomatic individuals (86). Asymptomatic transfer leads to lower prevalence estimates and higher transmission rates in the community. Until universal screening and vaccination become available, it is necessary to trace close contacts of those testing positive for COVID-19 and quarantining contacts to prevent asymptomatic transmission.

According to the articles we included, 2019-nCoV can only be transferred from person to person (87). Chen et al. suggested that they had no evidence of vertical transmission from mother to child (36). Any person infected with 2019-nCoV can develop a clinical course of Covid-19. However, it is reported to cause the most severe symptoms such as respiratory failure in older men with comorbidities (88). Children, teenagers, and younger people mostly showed a mild presentation of the disease (89).

Based on our reviewed articles, hypertension, diabetes, cardiovascular disease, and pulmonary disease were the most common morbidities among COVID-19 patients. This point was also mentioned in Alraddadi et al. study about MERS-CoV patients (90). They showed that individuals with comorbidities like diabetes, smoking, and cardiovascular disease were associated with a more severe clinical course (90). According to Yang et al., chronic diseases can debilitate the immune system and make pro-inflammatory conditions, leading to more severe infection and subsequently higher mortality rates (91).

According to the included studies, the most common clinical manifestations were fever, cough, dyspnea, and myalgia or fatigue. Less common clinical manifestations included nausea or vomiting, dizziness, rhinorrhea, and chills. Liu et al. reported that infants had mild clinical manifestations and a better prognosis. Furthermore, some asymptomatic cases were seen among children.

The most common abnormal laboratory changes were lymphopenia, high concentrations of C-reactive protein, and elevated levels of aspartate aminotransferase; however, we do not know the exact pathogenesis and the reason for these alterations. Laboratory abnormalities may indicate the severity of disease and developing complications. According to Huang et al., most patients with secondary infection had a procalcitonin level >0.5 ng/Ml and ICU patients had higher levels of prothrombin time and D-dimer (92). Also, Liu et al. mentioned using hypoalbuminemia, lymphopenia, high concentrations of CRP, and elevated LDH to predict the severity of acute lung injury (3). Higher levels of angiotensin II are also proposed to be related to acute lung injury (3). Meanwhile, non-survivors are suggested to have higher D-dimer and FDP levels, longer PT and aPTT, and lower fibrinogen and antithrombin levels (93).

CT scan as a diagnostic tool can be used to evaluate the severity of pulmonary involvement and monitor clinical progression. CT scan has good sensitivity and can be used to establish COVID-19 diagnosis in patients who are highly suspicious based on epidemiologic history and clinical manifestations but have negative PCR-based test results (12, 94). It is important to highlight that the CT scan can be normal during initial days, and a normal CT scan in a suspected case would never definitely rule out the diagnosis of COVID-19 (95). Moreover, the CT scan is dynamic in patients with COVID-19 and changes rapidly (13, 17, 19). The earliest abnormal finding in the CT scan is the appearance of ground-glass opacities in peripheral and sub-pleural areas (96). As the disease progresses, the GGO's will expand and distribute more, most commonly to the right lower lung lobes. Later findings include consolidations, paving patterns, thickening of lobar fissures, and adjacent pleura. Pleural effusion, hilar lymphadenopathies, and mediastinal lymphadenopathies are not common findings and have only been reported scarcely (40). Lung pathology can progress to a “white lung” with low functional capacity or heal with some fibrotic remnants (40). Dynamic changes in the lungs seen on CT imaging will continue even after the patient's discharge (96). CT scan findings have prognostic value in some patients, as Shi et al. have reported, deterioration on follow-up CT scan, old age, male sex, and underlying comorbidities are associated with poor prognosis.

ARDS was the most common complication among the confirmed COVID-19 patients; the development of ARDS increased the risk of patient mortality (97). Huang et al. reported that the median time from onset of symptoms to the development of ARDS was 9 days (92). Other complications were acute cardiac injury, acute kidney injury, secondary infection, and shock that leads to multiple organ failure (98, 99). ICU patients in comparison to non-ICU patients were also more likely to have complications (100). The mortality rate was higher in critically ill patients as well as in older patients with comorbidities and ARDS. Yang et al. reported that the median duration from ICU admission to death was 7 days (97). The window between the presentation to the time of ICU admission and/or development of ARDS is an optimal time for medical intervention.

Also, the results of the current study are in comparison with the recent large patient cohort studies in the aspect of comorbidities, clinical manifestations, laboratory, and radiological findings, however, there are some differences (101, 102). In a study by Richardson et al., a more detailed analysis of the patient's vital signs, ICU interventions, outcome characteristics, and risk factors were reported (101). According to their study, among the patients who were discharged or had died during hospitalization, 14.2% were treated in the ICU, 12.2% received invasive mechanical ventilation, 3.2% were treated with kidney replacement therapy, and 21% died. Moreover, Grasselli et al. indicated that Older patients (age ≥ 64 years) had higher mortality than younger patients (age ≤ 63 years) (36%vs 15%) (102).

There are many challenges in COVID-19 therapeutic strategies. There is currently no cure for COVID-19. However, pharmacologic and non-pharmacologic symptom management and supportive care measures should be given to all patients with symptomatic COVID-19. Other various therapeutic strategies have been trialed in patients with COVID-19 to slow disease progression. There is a paucity of data surrounding the efficacy of treatments. Of the case controls and case series we included, antiviral agents including HIV protease inhibitors (lopinavir and ritonavir) as well as anti-influenza compounds (oseltamivir and arbidol) were used as treatment regimens. Unfortunately, we didn't have enough information about the efficacy of each regimen; however, according to some studies, anti-HIV based medications could have benefits in more rapid improvement of clinical manifestations and decrease in viral load (13, 16, 19).

A limitation of this review relates to the potential risk of bias. Bias occurs in the case reports/series studies because their results are not representative and do not represent the truth. A further limitation is that the conclusions are limited due to the case reports and case series. We did not include observational studies and randomized controlled trial (RCT)/quasi-randomized studies, because another study being conducted by the authors. Furthermore, the focus of the reviewed case reports and case series was mainly on the clinical description of the patients with COVID-19, but detailed information on the treatment outcomes and medical consequences were rarely provided. Also, the case number included in this systematic review is low compared with the currently published patient cohort, and this may lead to the declining clinical significance of this manuscript. Finally, our results are limited to younger adults who had been hospitalized during the 4–5 first months of the COVID-19 pandemic.

In conclusion, we discussed the clinical symptoms, laboratory abnormalities, common comorbidities, imaging modalities, and potential therapeutic options in COVID-19. We indicated that the most common symptoms were fever, cough, and dyspnea, but some young infected cases had no signs or symptoms. ARDS was the most common reported complication and was associated with poor prognosis. In the wake of the COVID-19 pandemic, countries are scrambling to produce enough RT-PCR diagnostic tests. Diagnostic information from other surrogate markers would be valuable if markers proved to be sensitive and specific. Namely, we learned that laboratory data like CRP may not only be related to the severity of the disease, but it may be predictive of disease outcomes. Further studies are needed to relate quantified elevations in CRP to disease severity. Due to the high sensitivity of the CT scan, it is considered as a good diagnostic tool. However, it should be kept in mind that a normal CT scan will never rule out the diagnosis of COVID-19 in a highly suspicious case based on history and clinical findings. Lastly, there are different therapeutic strategies for COVID-19 patients, but we don't have enough data for their efficacy. Additional investigations including randomized controlled trials will be necessary to further our understanding of the treatment of COVID-19.

Data Availability Statement

All datasets presented in this study are included in the article/ supplementary material.

Author Contributions

MN and MM designed the study and revised the manuscript. MN, AT, MA, YF, PJ, SH, and TC performed the search, data extraction, statistical analysis, and wrote the first draft of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Footnotes

Funding. This study was financially supported by Research Department of the School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran (Grant number: 22960).

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All datasets presented in this study are included in the article/ supplementary material.


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