Clinical analysis of severe COVID-19 patients
Abstract
BACKGROUND:
Patients with unexplained pneumonia appeared in Wuhan, Hubei Province at the end of 2019.
OBJECTIVE:
To analyze the clinical data of patients with severe COVID-19.
METHODS:
Medical records of 28 severe patients admitted to the intensive care unit of Wuhan Xinzhou District People’s Hospital were collected from January 31 to March 17.
RESULTS:
The mortality rate of severe patients in our study was 39.3%. There were statistically significant differences in age, admission systolic blood pressure, lymphocyte count, albumin, total bilirubin, and lactate dehydrogenase between the death group and the survival group (
CONCLUSIONS:
Fever and cough are the main symptoms, which is useful for predicting the prognosis to dynamically measure the APACHE II, CURB-65, SOFA, respiratory frequency, lymphocyte count, platelet, lactate dehydrogenase, and coagulation tests. The drugs that protect the liver and heart may improve the survival rate of patients with severe COVID-19.
1.Introduction
Patients with unexplained pneumonia appeared in Wuhan, Hubei Province at the end of 2019. The pneumonia spread rapidly in Wuhan, and most patients had a history of contact with the South China Seafood Market. Since then, more and more patients developed symptoms like fever and cough. In January 2020, the Chinese Center for Disease Control and Prevention (CDC) announced that the pathogen was a new type of coronavirus, which was subsequently named 2019-nCoV by the WHO [1]. As the situation worsened, the World Health Organization declared the outbreak a “Public Health Emergency of International Concern” (PHEIC). In February 2020, International Committee on Taxonomy of Viruses renamed the virus to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Later, the WHO announced that the epidemic disease caused by SARS-CoV-2 to be Coronavirus Disease 2019 (COVID-19). After the outbreak of COVID-19, the Chinese government activated First-Level Public Health Emergency Response on January 26, 2020. While preventing and controlling the spread of the disease, additional skilled medical personnel from other regions were recruited to Wuhan to assist in outbreak responses. On January 28, 2020, 5 medical staff from the Department of Intensive Care Medicine of our hospital accompanied Qinghai-to-Hubei medical team to help with the treatment of patients with coronavirus in Wuhan. In this report, we analyzed and summarized clinical features of 28 patients with COVID-19 treated by our team.
2.Methods
2.1Study population
We collected the medical records of 28 severe and critically-ill COVID-19 patients admitted to the Department of Intensive Care Medicine at Xinzhou District People’s Hospital in Wuhan from January 31 to March 17 of 2020. All patients were confirmed positive for COVID-19 by specific molecular testing and CT examination. The chest CT in the detection of COVID-19 showed bilateral ground-glass opacities and consolidations [2, 3]. Inclusion criteria described: All patients admitted to the ICU meet the severe and critical diagnosis criteria in the “Notification on Issuing the New Coronavirus Pneumonia Diagnosis and Treatment Protocol (Seventh Trial Edition)” [4] issued by the General Office of the National Health Commission. Severe: Adults who meet any of the followings: a) Shortness of breath, RR
2.2Data collection
We collected each patient’s general information, APACHE II score, SIRS score, SOFA score, and CURB-65 score upon entering the ICU. Vital signs, blood tests, biochemical tests, coagulation analysis, and blood gas analysis were performed. We also collected each patient’s number of ICU hospitalization days and the prognosis when exiting the ICU. According to the different prognoses when leaving the ICU, we divided our cohort into the survival group and the mortality group. Blood routine testing was performed with a XN9000 analyzer (Sysmex Corporation, Japan). Biochemical analysis was performed with a Siemens ADVIA 2400 automatic biochemical analyzer. Brain natriuretic peptide (BNP) levels were measured with a DXi800 (Beckman Coulter, USA). Procalcitonin (PCT) was measured with a Cobas 8000 (Roche, Germany). C-reactive protein (CRP) levels were measured with an AU5800 (Beckman Coulter, USA). All detection reagents used the manufacturer’s matching reagents.
2.3Treatments
Intensive care, oxygen therapy (i.e., oxygen masks, non-invasive ventilators, invasive ventilators), acid-suppression agents to protect gastric mucosa (pantoprazole), anti-infection agents (sulbactam, cefoperazone, levofloxacin, azithromycin, imipenem), antiviral agents (oseltamivir, interferon, lopinavir/ritonavir tablets), hormones (methylprednisolone sodium succinate, dexamethasone), liver-protection agents (glutathione), nebulizer-inhalation agents (budesonide, terbutaline), phlegm/asthma-reduction agents (ambroxol, tanreqing, doxofylline), and other treatments (i.e., immunoglobulin, human albumin, Lianhua Qingwen capsules, Chinese herbal medicine) were administered to patients included in the present study.
2.4Statistical analysis
SPSS 22.0 statistical software was used for data analysis. Non-normally distributed measurement data are represented by P50 (P25, P75), and Mann-Whitney U test is used for comparison between the two groups (Survival and Death). The enumeration data was analyzed by
3.Results
The general symptoms of patients included the following: dyspnea (3 out of 28), wheezing (8 out of 28), chest pain (1 out of 28), chest tightness (10 out of 28), cough (23 out of 28), expectoration (8 out of 28), fatigue (4 out of 28), sore throat (1 out of 28), and fever (22 out of 28). The highest body temperature fluctuated between 38.5–40.0
The following hospital-admission measurements between the survival group and mortality group were significantly different (
Table 1
Indicators | Total | Survival group | Death group | Statistics |
| |
---|---|---|---|---|---|---|
Number gender | Case | 28 | 17 | 11 | ||
Male: Female | 18:10 | 9:8 | 9:2 | 0.249 | ||
Age | Year | 54.8 | 49.9 | 62.4 | 0.030 | |
Onset to admission | Day | 7.0 (4.3, 12.0) | 7.0 (4.0, 16.5) | 9.0 (5.0,12.0) | 0.850 | |
Admission to the ICU | Day | 5.0 (0.3, 7.0) | 7.0 (4.5, 8.5) | 2.0 (0.0,4.0) | 0.005 | |
Admission temperature | 36.8 (36.3, 37.4) | 37.0 (36.5, 38.0) | 36.6 (36.3, 37.0) | 0.069 | ||
Admission heart rate | /min | 87 (83, 104) | 86 (81, 101) | 98 (86, 108) | 0.099 | |
Admission respiratory rate | /min | 20 (20, 24) | 20 (20, 22) | 23 (20, 31) | 0.068 | |
Admission systolic pressure | mmHg | 129 | 123 | 139 | 0.049 | |
Admission diastolic pressure | mmHg | 80 | 76 | 85 | 0.115 | |
Admission WBC | 7.7 | 7.2 | 8.4 | 0.364 | ||
Admission LY | 0.86 | 0.98 | 0.67 | 0.021 | ||
Admission HGB | g/L | 141 | 141 | 142 | 0.901 | |
Admission PLT | 183 | 189 | 173 | 0.466 | ||
Admission PCT | ng/ml | 0.20 (0.13, 0.28) | 0.2 (0.1, 0.2) | 0.2 (0.2, 0.78) | 0.088 | |
( | ( | ( | ||||
Admission BNP | ng/L | 741 (269, 917) | 377 (50, 781) | 829 (568, 2205) | 0.144 | |
( | ( | ( | ||||
Admission ALT | U/L | 39 (31, 54) | 36 (30, 49) | 41 (31, 57) | 0.423 | |
Admission AST | U/L | 31 (23, 42) | 27 (23, 35) | 41 (28, 59) | 0.110 | |
Admission ALB | g/L | 34.7 | 37.5 | 30.7 | 0.004 | |
( | ( | |||||
Admission TBIL | umol/L | 14.0 | 11.6 | 17.6 | 0.025 | |
( | ( | ( | ||||
Admission BUN | mmol/L | 6.1 | 5.1 | 7.3 | 0.076 | |
( | ( | ( | ||||
Admission CREA | umol/L | 74 (71, 85) | 71 (66, 89) | 74 (72, 85) | 0.265 | |
( | ( | |||||
Admission GLU | mmol/L | 5.9 (4.9, 6.9) | 5.8 (4.6, 6.3) | 6.6 (5.3, 9.4) | 0.095 | |
Admission CK | U/L | 148 (62, 337) | 188 (76, 401) | 83 (50, 165) | 0.230 | |
Admission CK-MB | U/L | 16 (10, 25) | 11 (10, 26) | 17 (11, 25) | 0.333 | |
Admission LDH | U/L | 368 (301, 448) | 315 (268, 407) | 502 (386, 638) | 0.002 | |
Admission K | mmol/L | 5.3 | 4.5 | 4.1 | 0.301 | |
Admission Na | mmol/L | 136 | 136 | 137 | 0.511 | |
Admission Cl | mmol/L | 101 | 100 | 102 | 0.288 | |
Admission Ca | mmol/L | 2.4 (2.2, 2.5) | 2.4 (2.3, 2.5) | 2.3 (2.1, 2.4) | 0.121 | |
Admission P | mmol/L | 1.0 (0.8, 1.2) | 1.1 (1.0, 1.2) | 0.9 (0.6, 1.1) | 0.083 | |
Admission PT | sec. | 12.2 | 11.8 | 12.8 | 0.203 | |
Admission APTT | sec. | 31.2 | 30.3 | 32.5 | 0.365 | |
Admission INR | 1.05 | 1.02 | 1.10 | 0.223 | ||
Admission FIB | g/L | 3.67 | 3.58 | 3.81 | 0.377 | |
Admission DD | mg/L | 0.9 (0.4, 2.5) | 1.0 (0.5, 2.1) | 0.7 (0.3, 2.9) | 0.906 |
The following ICU-admission measurements between the survival group and mortality group were significantly different (
Table 2
Indicators | Total | Survival group | Death group | Statistics |
| |
---|---|---|---|---|---|---|
Number | Case | 28 | 17 | 11 | ||
Admitted to ICU APACHE II | 7.5 (5.0, 11.0) | 6.0 (3.5, 9.0) | 13.0 (9.0, 24.0) | 0.002 | ||
Admitted to ICU CURB-65 | 1.0 (0.3, 2.0) | 1.0 (0.0, 1.0) | 3.0 (1.0, 3.0) | |||
Admitted to ICU SIRS | 2.0 (2.0, 3.0) | 2.0 (1.0, 2.5) | 2.0 (2.0, 3.0) | 0.117 | ||
Admitted to ICU SOFA | 3.0 (3.0, 5.0) | 3.0 (2.0, 3.0) | 6.0 (4.0, 7.0) | |||
Admitted to ICU temperature | 37.0 | 37.1 | 36.9 | 0.556 | ||
Admitted to ICU heart rate | /min | 92 | 88 | 97 | 0.105 | |
Admitted to ICU respiratory rate | /min | 26 (21, 35) | 22 (20, 26) | 33 (31, 43) | 0.001 | |
Admitted to ICU systolic pressure | mmHg | 132 | 126 | 141 | 0.012 | |
Admitted to ICU diastolic pressure | mmHg | 77 | 75 | 79 | 0.443 | |
Admitted to ICU WBC | 10.5 | 9.2 | 12.5 | 0.102 | ||
Admitted to ICU LY | 0.64 (0.53, 0.97) | 0.69 (0.57, 1.00) | 0.58 (0.49, 0.95) | 0.371 | ||
Admitted to ICU HGB | g/L | 130 | 125 | 136 | 0.130 | |
Admitted to ICU PLT | 183 (134, 287) | 250 (156, 377) | 142 (112, 195) | 0.011 | ||
Admitted to ICU PCT | ng/ml | 0.2 (0.2, 0.4) | 0.2 (0.1, 0.2) | 0.3 (0.2, 1.2) | 0.015 | |
( | ( | |||||
Admitted to ICU BNP | ng/L | 952 (751, 3461) | 886 (641, 9716) | 1731 (723, 11575) | 0.688 | |
( | ( | ( | ||||
Admitted to ICU ALT | U/L | 35 (25, 54) | 31 (23, 45) | 38 (32, 68) | 0.132 | |
Admitted to ICU AST | U/L | 33 (24, 53) | 32 (25, 46) | 33 (24, 59) | 0.777 | |
Admitted to ICU ALB | g/L | 29.4 (27.1, 33.2) | 31 (29, 34) | 27 (26, 29) | 0.004 | |
Admitted to ICU TBIL | umol/L | 19.8 (13.1, 26.2) | 18.7 (12.5, 20.9) | 26.4 (17.4, 35.7) | 0.104 | |
Admitted to ICU BUN | mmol/L | 6.8 (4.6, 9.7) | 5.5 (4.3, 8.8) | 9.2 (5.8, 13.7) | 0.082 | |
Admitted to ICU CREA | umol/L | 72 (57, 80) | 63 (56, 77) | 77 (73, 123) | 0.045 | |
Admitted to ICU GLU | mmol/L | 6.2 (4.8, 8.1) | 6.1 (4.9, 7.8) | 6.3 (4.6, 9.4) | 0.944 | |
Admitted to ICU CK | U/L | 83 (42, 201) | 81 (41, 197) | 118 (42, 444) | 0.707 | |
Admitted to ICU CK-MB | U/L | 15 (10, 21) | 11 (6, 16) | 17 (15, 29) | 0.011 | |
Admitted to ICU LDH | U/L | 419 (347, 640) | 372 (305, 441) | 638 (474, 722) | 0.002 | |
Admitted to ICU K | mmol/L | 3.9 | 4.0 | 3.6 | 0.080 | |
Admitted to ICU Na | mmol/L | 137 | 136 | 138 | 0.142 | |
Admitted to ICU Cl | mmol/L | 102 (100, 104) | 102 (100, 103) | 103 (103, 105) | 0.049 | |
Admitted to ICU Ca | mmol/L | 2.2 (2.2, 2.3) | 2.3 (2.2, 2.3) | 2.2 (2.1, 2.2) | 0.087 | |
Admitted to ICU P | mmol/L | 0.9 | 0.9 | 0.8 | 0.089 | |
Admitted to ICU PT | sec. | 12.4 (11.5, 14.2) | 11.8 (10.9, 12.7) | 14.3 (12.0, 15.0) | 0.011 | |
Admitted to ICU APTT | sec. | 27.3 (23.7, 33.8) | 26.5 (23.1, 30.3) | 31.6 (23.9, 37.8) | 0.067 | |
Admitted to ICU INR | 1.07 (0.99, 1.25) | 1.01 (0.94, 1.09) | 1.23 (1.03, 1.30) | 0.015 | ||
Admitted to ICU FIB | g/L | 3.47 (2.76, 4.07) | 3.66 (3.16, 4.13) | 2.87 (1.57, 3.65) | 0.115 | |
Admitted to ICU DD | mg/L | 2.47 (0.61, 6.59) | 2.77 (0.79, 6.13) | 1.35 (0.28, 12.75) | 0.724 | |
Admitted to ICU PH | 7.49 | 7.49 | 7.49 | 0.861 | ||
Admitted to ICU PCO | mmHg | 31 | 32 | 29 | 0.150 | |
Admitted to ICU PO | mmHg | 69 (60, 89) | 82 (64, 109) | 62 (52, 67) | 0.008 | |
Admitted to ICU Lac | mmol/L | 1.40 (1.03, 2.20) | 1.4 (0.9, 1.9) | 1.5 (1.1, 2.6) | 0.258 | |
Admitted to ICU FiO2 | 0.45 (0.41, 0.60) | 0.45 (0.39, 0.55) | 0.60 (0.45, 0.60) | 0.029 | ||
PO | 172 | 209 | 115 | 0.001 |
In terms of follow-ups, none of the deceased patients in the mortality group underwent an autopsy. The follow-ups were completed on May 8, 2020. Of the 17 surviving patients, two patients did not participate in the follow-ups. Among the 15 patients that participated in follow-ups, 12 patients were re-examined via computed tomography after discharge; and it was revealed that in 5 out of 12 of these patients, the exudate was not completely absorbed. Nucleic-acid re-examinations of all 15 patients that participated in follow-ups were negative.
4.Discussion
A total of 28 severe and critical patients were involved in this study, including 18 males and 10 females. The average age of the disease is 54.8
The median time from admission to ICU for this group of patients is 5 days. The median time for the survival group is 7 days, and the median time for the death group is 2 days. The difference in age between the two groups indicates that the disease progresses more rapidly and provide a higher risk of death in older patients (average age of the death group is 62.4 years) [23]. Upon entering the ICU due to disease worsening, the APACHE II score, the CURB-65 score and the SOFA score of the survival group were lower than those of the death group. Higher scores indicate a poor prognosis, which is in consistency with our observations. When entering the ICU, the respiratory rates of patients in the death group were significantly higher than those of patients in the survival group (33 vs 22 breaths/min). Hence, as the disease worsens, the increase in respiratory rate is the major clinical manifestation of severe patients. The respiratory failure may be related to the nerve invasion of SARS-CoV2 [24]. The average systolic blood pressures of the death group rose further (139 vs 141 mmHg) after entering the ICU, and were significantly higher than that of the survivors (141 vs 126 mmHg). The increase of blood pressure without significant changes in heart rate, may be the result of activation of the receptors that cause contraction of blood vessels as response to stress. As the disease progresses, the two groups have significant differences in platelet count (PLT). Platelets are key regulators of intravascular immunity and inflammation in the host. In addition to participating in the clotting process, platelets can also directly identify, isolate and kill pathogens, activate and guide neutrophils to the site of infection and inflammation, enhance their ability to engulf and kill pathogens, inducing unique effective functions [25]. Our study shows that the PLT counts of the death group are lower than those of the survival group. The reason may be that platelets are recruited and consumed in the body’s inflammatory response and the damage of the body’s organs caused by COVID-19, which has adverse reactions to bone marrow hematopoietic cells, resulting in decreased platelet synthesis [26], related studies have shown that the reduction of platelets can increase the risk of death in the hospital [27, 28, 29]. The PT and INR values of the survival group and the death group were statistically different, suggesting that coagulation disorders may be related to the disease severity. There is no statistical difference in the FDP and DDL values between the two groups, but if these indexes are significantly higher than the normal value in the ICU, it also indicates disorders of the fibrinolytic system. Related research [30, 31, 32] suggests that coagulation plays an important role in the progression of the disease. The increase in procalcitonin (PCT) in the dead group indicates secondary bacterial infection during SARS-CoV-2 infection. Multiple infections directly worsened the disease and aggravated the body’s toxic reaction [33, 34]. Albumin (ALB) levels in the two groups were lower after admission to the ICU than at admission (37 vs 31; 31 vs 27 g/L), but the death group decreased more significantly (27 vs 31 g/L). This can be explained by further damage of the liver functions, revealed by coagulation disorders that occurred in the later stages of the disease, demonstrated by prolonged prothrombin time (PT). Renal function did not change significantly on admission, but when admitted to the ICU, the creatinine (CREA) levels of the death group were significantly increased. As SARS-CoV-2 infection causes damage to multiple organs, the lactate dehydrogenase (LDH) index gradually increased compared with levels at admission (368 vs 419 U/L), suggesting that lung, liver, and heart tissue damage was further aggravated. In the meantime, creatine kinase isoenzyme (CK-MB) levels are significantly higher in the death group than in the survival group, also indicating that SARS-CoV-2 gradually increase its toxic effect on the myocardium as the disease progresses [35, 36, 37, 38]. The blood chloride ion (Cl) levels in the death group were higher, but still within the normal range. The cause of the increase may be respiratory alkalosis. In the blood gas analysis, the differences in the arterial Partial Pressure of Oxygen (PaO2) and Fraction of Inspired Oxygen (FiO2) were statistically different between the two groups, which directly reflected the difference in the degree of lung injury between the two groups. The oxygenation index of the death group was significantly decreased (115 vs 209,
The chloroquine or remdesivir may be effective in the treatment of COVID-19 [40, 41]. Both Pfizer and Moderna have developed and are distributing COVID-19 vaccines. Treatments for the patients in the present study included intensive care, oxygen therapy (oxygen by mask, non-invasive ventilator, or invasive ventilator), acid-suppression agents to protect gastric mucosa, anti-infection agents, anti-virus agents, hormonal application, liver protection, immunoglobulin, human albumin, Chinese herbal medicines, and other treatments [42]. The treatments achieved moderate outcomes, resulting in a mortality rate of 39.3% (11/28) in our present study. However, the mortality rate reported in the literature varies between 1.36% and 15% [43, 44]. The reason for the higher mortality rate among the patients in the present study may be due to all patients in this group being severely ill.
5.Conclusion
Fever and cough on admission were the main symptoms of COVID-19 patients in our present study, and these symptoms were often accompanied by chest pain, chest tightness, and difficulty breathing. At present, chloroquine and hydroxychloroquine may be effective in the treatment of COVID-19, and antibiotics can be used to control the infection when secondary bacterial infection occurs. Additionally, the use of Chinese traditional medicine may improve the overall condition of the immune system, thereby increasing the survival rate of COVID-19 patients. At present, the in-hospital mortality rate of COVID-19 is 28%–62%, and 81% of these patients require mechanical ventilation [20, 45, 46]. The drugs that protect the liver and heart may improve the survival rate of patients with severe COVID-19. Hence, further research needed in order to control COVID-19 and reduce the mortality rate of severely ill patients.
Acknowledgments
The authors would like to thank their colleagues, Guibin Jia, Xiaolin Sun, and Qingjun Shi, at Wuhan Xinzhou District People’s Hospital for their collaboration. They also thank Zhaozhi Sun from Heidelberg University Hospital for reviewing and editing the manuscript. We thank LetPub (www.letpub.com) for their linguistic assistance during the preparation of this manuscript.
Conflict of interest
None to report.
References
[1] | Lai Ch, Liu YH, Wang CY, et al. Asymptomatic carrier state, acute respiratory disease, and pneumonia due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): Facts and myths. Journal of Microbiology, Immunology and Infection. (2020) ; 53: : 404-412. |
[2] | Ahn D, Shin H, Kim M, et al. Current status of epidemiology, diagnosis, therapeutics, and vaccines for novel coronavirus disease 2019 (COVID-19). J. Microbiol. Biotechnol. (2020) ; 30: (3): 313-324. doi: 10.4014/jmb.2003.03011. |
[3] | Bertolazzi P, Melo HJF. A importancia da Tomografia Computadorizada no diagnóstico da COVID-19. The importance of Computed Tomography in diagnosis of COVID-19. Arq Med Hosp Fac Cienc Med Santa Casa São Paulo. (2020) ; 65: : e11. doi: 10.26432/1809-3019.2020.65.011. |
[4] | Office of the National Administration of Traditional Chinese Medicine, National Health Commission. Notice on the issuance of the COVID-19 protocol (Trial Seventh Edition) [EB/OL]. (2020-2-18) [2020-12-24]. http://www.cac.gov.cn/2020-03/04/c_1584872634644633.htm. |
[5] | Lu HZ, Stratton CW, Tang YW. Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle. J Med Virol. (2020) Apr; 92: (4): 401-402. doi: 10.1002/jmv.25678. |
[6] | Hui DS, Azhar EI, Madani TA, et al. The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health – The latest 2019 novel coronavirus outbreak in Wuhan, China. Int J Infect Dis. (2020) Feb; 91: : 264-266. doi: 10.1016/j.ijid.2020.01.009. |
[7] | Wan YS, Shang J, Graham R, et al. Receptor recognition by the novel coronavirus from Wuhan: An analysis based on decade-long structural studies of SARS coronavirus. J Virol. (2020) Mar 17; 94: (7): e00127-20. doi: 10.1128/JVI.00127-20. |
[8] | Chan JFW, Yuan SF, Kok KH, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: A study of a family cluster. Lancet. (2020) Feb 15; 395: (10223): 514-523. doi: 10.1016/S0140-6736(20)30154-9. |
[9] | Backer JA, Klinkenberg D, Wallinga J, et al. Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020. Euro Surveill. (2020) Feb; 25: (5): 2000062. doi: 10.2807/1560-7917.ES.2020.25.5.2000062. |
[10] | Lauer SA, Grantz KH, Bi QF, et al. The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: Estimation and application. Ann Intern Med. (2020) May 5; 172: (9): 577-582. doi: 10.7326/M20-0504. |
[11] | Huang CL, Wang YM, Li XW, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. (2020) Feb 15; 395: (10223): 497-506. doi: 10.1016/S0140-6736(20)30183-5. |
[12] | Zhu N, Zhang DY, Wang WL, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. (2020) Feb 20; 382: (8): 727-733. doi: 10.1056/NEJMoa2001017. |
[13] | Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. (2020) Apr 30; 382: (18): 1708-1720. doi: 10.1056/NEJMoa2002032. |
[14] | Li Q, Guan XH, Wu P, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med. (2020) Mar 26; 382: (13): 1199-1207. doi: 10.1056/NEJMoa2001316. |
[15] | Habibzadeh P, Stoneman EK. The novel coronavirus: A bird’s eye view. Int J Occup Environ Med. (2020) Apr; 11: (2): 65-71. doi: 10.15171/ijoem.2020.1921. |
[16] | Siebenmann C, Lundby C. Regulation of cardiac output in hypoxia. Scand J Med Sci Sports. (2015) Dec; 25: (Suppl 4): 53-9. doi: 10.1111/sms.12619. |
[17] | Bai Y, Yao LS, Wei T, et al. Presumed asymptomatic carrier transmission of COVID-19. JAMA. (2020) Feb 21; 323: (14): 1406-1407. doi: 10.1001/jama.2020.2565. |
[18] | Wang DW, Hu B, Hu C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. (2020) Feb 7; 323: (11): 1061-1069. doi: 10.1001/jama.2020.1585. |
[19] | Chen NS, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet. (2020) Feb 15; 395: (10223): 507-513. doi: 10.1016/S0140-6736(20)30211-7. |
[20] | Henry BM, Oliveira MHS, Benoit S, et al. Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): A meta-analysis. Clin Chem Lab Med. (2020) Jun 25; 58: (7): 1021-1028. doi: 10.1515/cclm-2020-0369. |
[21] | Yuan J, Zou RR, Zeng LJ, et al. The correlation between viral clearance and biochemical outcomes of 94 COVID-19 infected discharged patients. Inflamm Res. (2020) Jun; 69: (6): 599-606. doi: 10.1007/s00011-020-01342-0. |
[22] | Liu YX, Yang Y, Zhang C, et al. Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury. Sci China Life Sci. (2020) Mar; 63: (3): 364-374. doi: 10.1007/s11427-020-1643-8. |
[23] | Schalekamp S, Huisman M, Dijk RA, et al. Model-based prediction 13 of critical illness in hospitalized patients with COVID-19. Radiology. (2021) ; 298: (1): E46-E54. doi: 10.1148/radiol.2020202723. |
[24] | Li YC, Bai WZ, Hashikawa T. The neuroinvasive potential of SARS-CoV2 may play a role in the respiratory failure of COVID-19 patients. J Med Virol. (2020) Jun; 92: (6): 552-555. doi: 10.1002/jmv.25728. |
[25] | Qu R, Ling Y, Zhang YHZ, et al. Platelet-to-lymphocyte ratio is associated with prognosis in patients with coronavirus disease-19. J Med Virol. (2020) Mar 17. doi: 10.1002/jmv.25767. |
[26] | Mo PZ, Xing YY, Xia Y, et al. Clinical characteristics of refractory COVID-19 pneumonia in Wuhan, China. Clin Infect Dis. (2020) Mar 16; ciaa270. doi: 10.1093/cid/ciaa270. |
[27] | Yang XB, Yang QY, Wang YX, et al. Thrombocytopenia and its association with mortality in patients with COVID-19. J Thromb Haemost. (2020) Jun; 18: (6): 1469-1472. doi: 10.1111/jth.14848. |
[28] | Thachil J. What do monitoring platelet counts in COVID-19 teach us. J Thromb Haemost. (2020) Apr 28. doi: 10.1111/jth.14879. |
[29] | Salamanna F, Maglio M, Landini MP, et al. Platelet functions and activities as potential hematologic parameters related to coronavirus disease 2019 (Covid-19). Platelets. (2020) Jul 3; 31: (5): 627-632. doi: 10.1080/09537104.2020.1762852. |
[30] | Connors JM, Levy JH. COVID-19 and its implications for thrombosis and anticoagulation. Blood. (2020) ; 135: (23): 2033-2040. doi: 10.1182/blood.2020006000. |
[31] | Lippi G, Plebani M, Henry BM. Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A meta-analysis. Clin Chim Acta. (2020) ; 506: : 145-148. doi: 10.1016/j.cca.2020.03.022. |
[32] | Levi M, Thachil J, Iba T, et al. Coagulation abnormalities and thrombosis in patients with COVID-19. Lancet Haematol. (2020) Jun; 7: (6): e438-e440. doi: 10.1016/S2352-3026(20)30145-9. |
[33] | Huang I, Pranata R, Lim MA, et al. C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: A meta-analysis. Ther Adv Respir Dis. (2020) ; 14: : 1-14. doi: 10.1177/1753466620937175. |
[34] | Zhou C, Chen Y, Ji Y, et al. Increased serum levels of hepcidin and ferritin are associated with severity of COVID-19. Med Sci Monit. (2020) ; 26: : e926178. doi: 10.12659/MSM.926178. |
[35] | Zheng YY, Ma YT, Zhang JY, et al. COVID-19 and the cardiovascular system. Nat Rev Cardiol. (2020) May; 17: (5): 259-260. doi: 10.1038/s41569-020-0360-5. |
[36] | Hendren NS, Drazner MH, Bozkurt B, et al. Description and proposed management of the acute COVID-19 cardiovascular syndrome. Circulation. (2020) Jun 9; 141: (23): 1903-1914. doi: 10.1161/CIRCULATIONAHA.120.047349. |
[37] | Asokan I, Rabadia SV, Yang EH. The COVID-19 pandemic and its impact on the cardio-oncology population. Curr Oncol Rep. (2020) May 28; 22: (6): 60. doi: 10.1007/s11912-020-00945-4. |
[38] | Zhu H, Rhee JW, Cheng P, et al. Cardiovascular complications in patients with COVID-19: Consequences of viral toxicities and host immune response. Curr Cardiol Rep. (2020) Apr 21; 22: (5): 32. doi: 10.1007/s11886-020-01292-3. |
[39] | Harapan H, Itoh N, Yufika A, et al. Coronavirus disease 2019 (COVID-19): A literature review. J Infect Public Health. (2020) May; 13: (5): 667-673. doi: 10.1016/j.jiph.2020.03.019. |
[40] | Meo SA, Klonoff DC, Akram J. Efficacy of chloroquine and hydroxychloroquine in the treatment of COVID-19. Eur Rev Med Pharmacol Sci. (2020) ; 24: (8): 4539-4547. doi: 10.26355/eurrev_202004_21038. |
[41] | Spinner CD, Gottlieb RL, Criner G, et al. Effect of Remdesivir vs Standard Care on Clinical Status at 11 Days in Patients wth Moderate COVID-19. A Randomized Clinical Trial. JAMA. doi: 10.1001/jama.2020.16349. |
[42] | Li H, Liu SM, Yu XH, et al. Coronavirus disease 2019 (COVID-19): Current status and future perspectives. Int J Antimicrob Agents. (2020) May; 55: (5): 105951. doi: 10.1016/j.ijantimicag.2020.105951. |
[43] | Sun P, Lu XS, Xu C, et al. Understanding of COVID-19 based on current evidence. J Med Virol. (2020) Jun; 92: (6): 548-551. doi: 10.1002/jmv.25722. |
[44] | Jiang F, Deng LH, Zhang LQ, et al. Review of the clinical characteristics of coronavirus disease 2019 (COVID-19). J Gen Intern Med. (2020) May; 35: (5): 1545-1549. doi: 10.1007/s11606-020-05762-w. |
[45] | Yang XB, Yu Y, Xu JQ, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: A single-centered, retrospective, observational study. Lancet Respir Med. (2020) May; 8: (5): 475-481. doi: 10.1016/S2213-2600(20)30079-5. |
[46] | Zhou F, Yu T, Du RH, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. Lancet. (2020) Mar 28; 395: (10229): 1054-1062. doi: 10.1016/S0140-6736(20)30566-3. |