Table 7 Clustering of clinical variables.

From: Early outcome detection for COVID-19 patients

Cluster

Clinical variables

1

Fatigue, shortness of breath, Haemoglobin, INR, bilirubin, pH,

2

Body temperature, nasal congestion, 24h urinary output, CD4CD8, sodium, pCO2, GM CFS,

3

Fever, respiratory rate, heart rate, ferritin, LDH, PCR, PCT,

4

COPD, cerebrovascular disease, hematological malignancy, BMI,

5

Cancer, chronic liver disease, liver cirrhosis, other pathogens,

6

Sex, smoking, rash,

7

From LTCF, neurological disease, dementia, confusion on admission,

8

Neutrophils, WBC, platelets,

9

Hemoptysis, pleuritic chest pain, haematocrit,

10

Dialysis, chronic kidney disease, creatinine,

11

Diabetes mellitus, hypercholesterolemia, glucose,

12

Conjunctival congestion, pO2,

13

BUN, potassium, CPK, troponin, lactate,

14

Systolic BP, diastolic BP,

15

Autoimmune disease, immunosuppressives ,

16

IL1b,

17

D-Dimer,

18

GM-CSF, MCP, MCP>720,

19

Cough, sore throat, sputum,

20

Symptoms days, BAL,

21

AST/GOT, ALT/GPT,

22

HCO3,

23

IL6, TNFalfa,

24

Age, cardiovascular disease, anticoagulants, IL10,

25

Arterial hypertension, RAAS blockers,

26

Asthma, lymphocytes, P/F,

27

Headache, nausea/vomiting, diarrhea, myalgia,