Literature DB >> 32314455

COVID-19 infection may cause ketosis and ketoacidosis.

Juyi Li1, Xiufang Wang2, Jian Chen3, Xiuran Zuo3, Hongmei Zhang4, Aiping Deng1.   

Abstract

The present study included 658 hospitalized patients with confirmed COVID-19. Forty-two (6.4%) out of 658 patients presented with ketosis on admission with no obvious fever or diarrhoea. They had a median (interquartile range [IQR]) age of 47.0 (38.0-70.3) years, and 16 (38.1%) were men. Patients with ketosis were younger (median age 47.0 vs. 58.0 years; P = 0.003) and had a greater prevalence of fatigue (31.0% vs. 10.6%; P < 0.001), diabetes (35.7% vs. 18.5%; P = 0.007) and digestive disorders (31.0% vs. 12.0%; P < 0.001). They had a longer median (IQR) length of hospital stay (19.0 [12.8-33.3] vs. 16.0 [10.0-24.0] days; P < 0.001) and a higher mortality rate (21.4% vs. 8.9%; P = 0.017). Three (20.0%) out of the 15 patients with diabetic ketosis developed acidosis, five patients (26.7%) with diabetic ketosis died, and one of these (25.0%) presented with acidosis. Two (7.4%) and four (14.3%) of the 27 non-diabetic ketotic patients developed severe acidosis and died, respectively, and one (25.0%) of these presented with acidosis. This suggests that COVID-19 infection caused ketosis or ketoacidosis, and induced diabetic ketoacidosis for those with diabetes. Ketosis increased the length of hospital stay and mortality. Meanwhile, diabetes increased the length of hospital stay for patients with ketosis but had no effect on their mortality.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  COVID-19; DKA; infection; ketoacidosis; ketosis

Year:  2020        PMID: 32314455      PMCID: PMC7264681          DOI: 10.1111/dom.14057

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


INTRODUCTION

In December 2019, unexplained viral pneumonia occurred in Wuhan, Hubei province, in China. , A novel coronavirus, later named COVID‐19 by the World Health Organization, was isolated from patients with this pneumonia. The clinical symptoms of COVID‐19 infection vary but mainly involve fever and cough. COVID‐19 mostly manifests as mild upper respiratory disease and gastrointestinal disease, severe viral pneumonia with systemic organ failure, or even death. , However, little attention has been paid to metabolic diseases caused by COVID‐19, especially in patients with diabetes mellitus.

MATERIALS AND METHODS

Study design and participants

Patients with COVID‐19 who died or were discharged during the period from January 1 to March 3, 2020, were included in this retrospective cohort study. The study protocol was approved by the Ethics Committee of the Central Hospital, and the requirement for informed consent was waived because of the retrospective nature of our research.

Data collection

Epidemiological, demographic and clinical data, as well as computed tomography (CT) images of lungs, laboratory investigations (viral nucleic acids test), treatment options, and management outcomes, were extracted from electronic medical records.

Definitions

Ketosis was defined as positive urine ketone or serum ketone test results, while ketoacidosis was defined with a positive test result of urine ketone or serum ketone, and arterial pH < 7.35 or carbon dioxide combining power < 18 mmol/L. ,

Statistical analysis

Data are expressed as medians (interquartile range [IQR]) or percentages (%). We used the Mann–Whitney U‐test, the chi‐squared test or Fisher's exact test in order to compare the differences among various groups, including the differences between ketosis and non‐ketosis groups or between diabetes and non‐diabetes groups.

RESULTS

This study included 658 hospitalized patients with confirmed COVID‐19. Of these patients, 64 (9.7%) died, and 40 (62.5%) were men. The median (IQR) age was 57.5 (42.0–67.0) years, and 297 (45.1%) were men. The most common symptoms at disease onset were fever 441 (67.0%) and cough 258 (39.2%). Meanwhile, the majority of our patients had elevated levels of D‐dimer, C‐reactive protein and interleukin‐6, decreased levels of lymphocytes and albumin, and CT imaging features of ground‐glass opacification, which was consistent with previous studies. , The characteristics and clinical outcomes of COVID‐19 patients with ketosis or non‐ketosis are summarized in Table 1. Forty‐two (6.4%) out of 658 patients presented with ketosis on admission, with no obvious fever or diarrhoea. They had a median (IQR) age of 47.0 (38.0–70.3) years, while 16 (38.1%) were men. Patients with ketosis were younger (median age 47.0 vs. 58.0 years; P = 0.003) and had a greater prevalence of fatigue (31.0% vs. 10.6%; P < 0.001), diabetes (35.7% vs. 18.5%; P = 0.007) and digestive disorders (31.0% vs. 12.0%; P < 0.001). They had a longer median (IQR) length of hospital stay (19.0 [12.8–33.3] vs. 16.0 [10.0–24.0] days; P < 0.001) and a higher mortality rate (21.4% vs. 8.9%, P = 0.017).
TABLE 1

Characteristics and clinical outcomes of patients with ketosis or non‐ketosis infected with COVID‐19

CharacteristicAll patients (n = 658)
Ketosis (n = 42)Non‐ ketosis (n = 616) P
Age, years 47.0 (38.0–70.3)58.0 (43.0–67.0)0.003
Gender, n (%)
Female26 (61.9)335 (54.4)0.441
Male16 (38.1)281 (45.6)
Clinical symptoms
Temperature on admission, °C36.7 (36.5–37.4)36.5 (36.3–36.9)0.517
Fever, n (%)28 (66.6)413 (67.0)0.960
Cough, n (%)20 (47.6)238 (38.6)0.249
Fatigue, n (%)13 (31.0)65 (10.6)<0.001
Chest pain, n (%)1 (2.4)14 (2.3)1.000
Chest tightness, n (%)11 (26.2)68 (11.0)0.003
Diarrhoea, n (%)2 (4.8)16 (2.6)0.731
Headache, n (%)2 (4.8)9 (1.5)0.321
Nausea and vomiting, n (%)5 (11.9)39 (6.3)0.280
Shortness of breath, n (%)11 (26.2)92 (14.9)0.052
Chronic disease, n (%)
Cerebrovascular disease5 (11.9)48 (7.8)0.513
Coronary heart disease6 (14.3)53 (8.6)0.333
Heart failure2 (4.8)6 (1.0)0.150
Diabetes15 (35.7)114 (18.5)0.007
Hypertention12 (28.6)208 (33.8)0.490
Digestive disorder13 (31.0)74 (12.0)< 0.001
COPD0 (0)19 (28.8)0.497
Solid tumour2 (4.8)15 (2.4)0.677
Chronic renal disease1 (2.4)17 (2.8)1.000
Hepatitis1 (2.4)6 (1.0)0.934
Complications, n (%)
Acute liver injury6 (14.3)33 (5.4)0.042
Septic shock3 (7.1)32 (5.2)0.850
Acute respiratory distress syndrome12 (28.6)83 (13.5)0.007
DKA3 (7,1)0 (0)< 0.001
Acidosis5 (11.9)25 (4.1)0.048
Lung CT images, n (%)
Unilateral pneumonia14 (33.3)137 (22.2)0.098
Bilateral pneumonia28 (66.7)479 (77.8)0.098
Multiple mottling and ground‐glass opacity27 (64.3)412 (66.9)0.730
Treatment strategies, n (%)
Antibiotics41 (97.6)481 (78.1)0.002
Antiviral drugs41 (97.6)576 (93.5)0.461
Antifungal agents1 (2.4)17 (2.8)1.000
Hormones26 (61.9)279 (45.3)0.037
Immunoglobulin10 (23.8)111 (18.0)0.349
Invasive mechanical ventilation9 (21.4)42 (6.7)0.002
Non‐invasive mechanical ventilation9 (21.4)63 (10.2)0.046
Blood biochemical variables
Leukocytes (3.5–9.5) 109/L5.5 (3.5–9.1)5.2 (4.1–6.7)0.404
Neutrophils (1.8–6.3) 109/L3.8 (1.9–6.4)3.4 (2.4–4.6)0.069
Lymphocytes (1.1–3.2) 109/L1.1 (0.9–1.6)1.2 (0.8–1.7)0.410
Eosinophils (0.02–0.52) 109/L0.00 (0.00–0.03)0.03 (0.00–0.09)0.041
Basophils (0–0.06) 109/L0.01 (0.01–0.02)0.02 (0.01–0.02)0.861
Lymphocyte percentage (20%–50%)21.6 (11.7–31.7)25.8 (15.9–34.6)0.182
Neutrophil percentage (40%–75%)68.5 (62.6–83.1)64.5 (55.5–76.0)0.096
Monocyte percentage (3%–10%)6.6 (4.4–8.2)7.0 (5.4–9.2)0.519
Eosinophil percentage (0.4%–8%)0.0 (0.0–0.6)0.6 (0.1–1.7)<0.001
Basophil percentage (0%–1%)0.2 (0.1–0.3)0.3 (0.2–0.4)0.022
Platelets (125–350) 109/L172.5 (145.0–222.8)192.0 (154.0–247.0)0.195
Haemoglobin (130–175 g/L)132.0 (120.8–140.8)128.0 (119.0–139.0)0.381
Monocytes (0.1–0.6) 109/L0.3 (0.2–0.5)0.4 (0.3–0.5)0.867
Activated partial thromboplastin time (20–40) s29.1 (25.1–31.3)27.9 (24.9–31.0)0.524
Fibrinogen (2–4) g/L2.9 (2.6–3.6)2.8 (2.3–3.3)0.073
Prothrombin time (9–13) s11.4 (10.8–11.7)11.5 (11.0–12.0)0.385
International normalized ratio (0.7–1.3)1.0 (0.9–1.0)1.0 (0.9–1.0)0.406
D‐dimer (0–1) μg/mL0.7 (0.4–1.9)0.5 (0.2–1.3)0.632
Albumin (40–55) g/L39.4 (34.9–42.7)39.5 (36.1–43.1)0.542
Globulin (20–40) g/L28.4 (24.1–31.3)26.9 (24.4–30.8)0.757
Albumin‐to‐globulin ratio (1.2–2.4)1.4 (1.2–1.6)1.5 (1.2–1.7)0.639
Alanine aminotransferase (9–50) U/L15.7 (10.9–28.8)19.7 (13.8–34.3)0.299
Aspartate aminotransferase (15–40) U/L24.7 (16.8–37.3)21.0 (16.0–30.6)0.185
Total bilirubin (2–20.4) μmol/L9.3 (6.2–13.8)9.6 (7.0–13.6)0.977
Serum urea (1.7–8.3) mmol/L4.3 (3.0–5.9)4.1 (3.2–5.4)0.463
Serum creatinine (57–111) μmol/L55.6 (42.4–65.2)65.7 (52.0–79.8)0.116
Alkaline phosphatase (40–150) U/L60.8 (44.8–60.8)60.8 (46.0–60.8)0.266
pH value (7.35–7.45)7.42 (7.41–7.46)7.42 (7.41–7.44)0.463
Creatine kinase (38–174) U/L91.5 (47.0–166.8)88.0 (52.0–132.0)0.437
Lactate dehydrogenase (80–285) U/L214.6 (152.3–282.5)191.0 (150.0–216.0)0.264
Creatine kinase isoenzyme (0–25) IU/L9.0 (6.0–11.5)8.4 (6.0–10.3)0.920
Alpha‐hydroxybutyrate dehydrogenase (72–182) U/L170.5 (119.8–216.0)149.0 (118.3–167.0)0.276
γ‐Glutamyltransferase (10–60) U/L17.5 (13.6–34.3)21.1 (13.3–38.9)0.562
Glucose (3.9–6.1) mmol/L5.6 (4.7–10.5)5.5 (4.8–6.9)0.035
Procalcitonin (< 0.04) ng/mL0.11 (0.05–0.24)0.05 (0.04–0.10)0.834
C‐reactive protein (0–0.5) mg/dL3.5 (1.4–6.5)0.9 (0.1–3.4)<0.001
Hospital stays, days19.0 (12.8–33.3)16.0 (10.0–24.0)<0.001
Clinical outcomes, n (%)
Rehabilitation discharge33 (78.6)561 (91.1)0.017
Died9 (21.4)55 (8.9)

Abbreviations: COPD, chronic obstructive pulmonary disease; CT, computed tomography; DKA, diabetic ketoacidosis.

Values are median (interquartile range), unless otherwise indicated.

Characteristics and clinical outcomes of patients with ketosis or non‐ketosis infected with COVID‐19 Abbreviations: COPD, chronic obstructive pulmonary disease; CT, computed tomography; DKA, diabetic ketoacidosis. Values are median (interquartile range), unless otherwise indicated. The baseline characteristics and clinical outcomes of patients with and without diabetes and with ketosis who presented with COVID‐19 infection are summarized in Table 2. A total of 129 patients (19.6%) had diabetes, with only one case of type 1 diabetes (Table 1). Fifteen (35.7%, median age 56.0 years) out of 42 patients with ketosis had diabetes, while 27 (64.3%, median age 41.0 years) did not have diabetes. Patients with diabetes were older (median age 56.0 vs. 41.0 years; P = 0.008), with a greater prevalence rate of coronary heart disease (40.0% vs. 0%; P = 0.002) and hypertension (53.3% vs. 14.8%; P = 0.022), and also had a longer median (IQR) length of hospital stay (33.0 [20.0–39.0] vs. 17.0 [10.0–22.0] days; P = 0.003). However, we noted no significant difference regarding the mortality rate (33.3% vs. 14.8%; P = 0.313).
TABLE 2

Characteristics and clinical outcomes of patients with or without diabetes with ketosis who were infected with COVID‐19

CharacteristicKetosis (n = 42)
Diabetes (n = 15)Non‐diabetes (n = 27) P
Age, years 56.0 (49.0–73.0)41.0 (30.0–56.0)0.008
Gender, n (%)
Female12 (80.0)14 (51.9)0.072
Male3 (20.0)13 (48.1)
Clinical symptoms, n (%)
Temperature on admission,°C36.8 (36.5‐37.5)36.8 (36.4‐37.6)0.094
Fever10 (66.7)18 (66.7)1.000
Cough7 (46.7)13 (48.1)0.927
Fatigue7 (46.7)6 (22.2)0.196
Chest pain0 (0)1 (3.7)1.000
Chest tightness5 (33.3)6 (22.2)0.676
Diarrhoea0 (0)2 (7.4)0.746
Headache1 (6.7)1 (3.7)1.000
Nausea and vomiting3 (20.0)6 (22.2)1.000
Shortness of breath3 (20.0)8 (29.6)0.754
Chronic disease, n (%)
Cerebrovascular disease4 (26.7)1 (3.7)0.088
Coronary heart disease6 (40.0)0 (0)0.002
Heart failure1 (6.7)1 (3.7)1.000
Hypertention8 (53.3)4 (14.8)0.022
Digestive disorder4 (26.7)9 (33.3)0.858
COPD0 (0)0 (0)NA
Solid tumour1 (6.7)1 (3.7)1.000
Chronic renal disease1 (6.7)0 (0)1.000
Hepatitis0 (0)1 (3.7)1.000
Complications, %
Acute liver injury2 (13.3)4 (14.8)1.000
Septic shock1 (6.7)2 (7.4)1.000
Acute respiratory distress syndrome6 (40.0)6 (22.2)0.387
DKA3 (20.0)NANA
Acidosis3 (20.0)2 (7.4)0.478
Lung CT images, %
Unilateral pneumonia3 (20.0)11 (40.7)0.172
Bilateral pneumonia12 (80.0)16 (59.3)0.172
Multiple mottling and ground‐glass opacity7 (46.7)20 (74.1)0.076
Treatment strategies, %
Antibiotics15 (100.0)26 (96.3)1.000
Antiviral drugs14 (93.3)27 (100.0)1.000
Antifungal agents0 (0)1 (3.7)1.000
Hormones10 (66.7)16 (59.3)0.636
Immunoglobulin4 (26.7)6 (22.2)1.000
Invasive mechanical ventilation4 (26.7)5 (18.5)0.823
Non‐invasive mechanical ventilation4 (26.7)5 (18.5)0.823
Blood biochemical parameters, median (IQR)
Leukocytes (3.5–9.5) 109/L5.9 (4.0–12.2)4.4 (3.1–7.9)0.082
Neutrophils (1.8–6.3) 109/L4.5 (2.8–10.2)3.7 (1.8–5.3)0.053
Lymphocytes (1.1–3.2) 109/L1.0 (0.7–1.5)1.2 (0.9–1.8)0.548
Eosinophils (0.02–0.52) 109/L0.00 (0.00–0.01)0.00 (0.00–0.06)0.391
Basophils (0–0.06) 109/L0.01 (0.01–0.02)0.01 (0.01–0.02)0.315
Lymphocyte percentage (20%–50%)12.7 (7.4–22.9)23.9 (15.9–35.5)0.030
Neutrophil percentage (40%–75%)82.3 (70.1–86.7)66.9 (56.3–73.4)0.029
Monocyte percentage (3%–10%)5.4 (4.4–6.9)7.2 (4.3–8.5)0.255
Eosinophil percentage (0.4%–8%)0.00 (0.00–0.20)0.10 (0.00–1.00)0.121
Basophil percentage (0%–1%)0.2 (0.1–0.3)0.2 (0.1–0.3)0.781
Platelets (125–350) 109/L173.0 (146.0–201.0)170.0 (132.0–242.0)0.648
Haemoglobin (130–175 g/L)126.0 (116.0–134.0)134.0 (123.0–144.0)0.281
Monocytes (0.1–0.6) 109/L0.4 (0.2–0.6)0.3 (0.2–0.5)0.569
Activated partial thromboplastin time (20–40) s25.5 (23.3–30.0)29.7 (27.5–32.6)0.063
Fibrinogen (2–4) g/L3.5 (2.7–4.5)2.8 (2.5–3.3)0.072
Prothrombin time (9–13) s11.0 (10.6–11.6)11.4 (11.1–11.9)0.242
International normalized ratio (0.7–1.3)1.0 (0.9–1.0)1.0 (0.9–1.0)0.214
D‐dimer (0–1) μg/mL1.0 (0.5–2.6)0.6 (0.3–1.2)0.163
Albumin (40–55) g/L35.6 (31.6–41.8)40.8 (36.5–43.7)0.017
Globulin (20–40) g/L29.5 (25.3–34.3)28.2 (23.6–30.8)0.261
Albumin‐to‐globulin ratio (1.2–2.4)1.3 (1.0–1.5)1.5 (1.3–1.7)0.029
Alanine aminotransferase (9–50) U/L14.8 (10.9–33.3)16.0 (10.9–28.5)0.823
Aspartate aminotransferase (15–40) U/L25.4 (18.3–45.6)21.7 (16.6–32.8)0.950
Total bilirubin (2–20.4) μmol/L9.5 (5.6–19.8)9.3 (6.6–11.3)0.294
Serum urea (1.7–8.3) mmol/L5.3 (3.6–6.9)3.5 (2.9–4.7)0.021
Serum creatinine (57–111) μmol/L57.5 (40.7–65.6)54.5 (45.8–63.9)0.885
Alkaline phosphatase (40–150) U/L60.8 (44.0–66.0)55.0 (45.0–60.8)0.768
pH value (7.35–7.45)7.43 (7.40–7.46)7.42 (7.40–7.45)0.961
Ketone body (negative)2 (1–2)1 (1–2)0.154
Standard bicarbonate ion (21–25) mmol/L24.5 (19.5–26.4)25.8 (25.8–27.4)0.006
Actual bicarbonate ion (21–28) mmol/L22.9 (19.0–26.0)26.0 (25.0–28.1)0.012
Base excee (−3–3) mmol/L3.2 (1.9–4.4)3.2 (2.4–3.5)0.721
Lactate (0.5–2.2) mmol/L1.3 (1.0–2.4)2.1 (1.5–2.4)0.417
Creatine kinase (38–174) U/L128.0 (68.5–200.0)77.0 (47.0–132.1)0.633
Lactate dehydrogenase (80–285) U/L253.0 (202.0–351.0)202.0 (151.0–233.0)0.345
Creatine kinase isoenzyme (0–25) IU/L10.1 (9.0–15.0)7.0 (6.0–11.0)0.045
Alpha‐hydroxybutyrate dehydrogenase (72–182) U/L182.0 (158.0–257.0)163.0 (116.0–190.0)0.488
γ‐Glutamyltransferase (10–60) U/L21.2 (15.4–37.0)16.8 (12.9–34.1)0.951
Glucose (3.9–6.1) mmol/L13.0 (9.2–16.6)4.9 (4.6–5.6)<0.001
HbA1c (< 6%)9.0 (7.6–12.3)5.6 (5.2–5.8)<0.001
Procalcitonin (< 0.04) ng/mL0.21 (0.05–0.32)0.09 (0.05–0.24)0.175
C‐reactive protein (0–0.5) mg/dL6.2 (2.9–8.8)2.6 (0.7–4.9)0.010
Hospital stays, days33.0 (20.0–39.0)17.0 (10.0–22.0)0.003
Clinical outcomes, n (%)
Rehabilitation discharge10 (66.7)23 (85.2)0.313
Died5 (33.3)4 (14.8)

Abbreviations: COPD, chronic obstructive pulmonary disease; CT, computed tomography; DKA, diabetic ketoacidosis; HbA1c, glycated haemoglobin.

Values are median (interquartile range), unless otherwise indicated.

Characteristics and clinical outcomes of patients with or without diabetes with ketosis who were infected with COVID‐19 Abbreviations: COPD, chronic obstructive pulmonary disease; CT, computed tomography; DKA, diabetic ketoacidosis; HbA1c, glycated haemoglobin. Values are median (interquartile range), unless otherwise indicated. Three (20.0%) out of the 15 patients with diabetic ketosis developed acidosis (case 1: male, age 26 years, pH 6.86, urine ketone +++, fasting plasma glucose 22.61 mmol/L, urine glucose ++++, lactate 1.7 mmol/L; case 2: male, age 54 years, pH 7.22, urine ketone +++, fasting plasma glucose 21.23 mmol/L, urine glucose ++++, lactate 1.7 mmol/L; case 3: female, age 44 years, pH 7.32, urine ketone +, fasting plasma glucose 16.55 mmol/L, urine glucose ++++, lactate 0.7 mmol/L). Five patients (26.7%) with diabetic ketosis died, and one (25.0%) of these presented with acidosis. Two (7.4%) and four (14.3%) of the 27 patients with non‐diabetic ketotis developed severe acidosis (case 1: male, age 85 years, pH 7.11, urine ketone +, fasting plasma glucose 5.47 mmol/L, urine glucose negative, lactate 2.6 mmol/L; case 2: female, age 56 years, pH 7.15, urine ketone ++, fasting plasma glucose 4.63 mmol/L, urine glucose negative, lactate 1.0 mmol/L) and died, respectively, and one (25.0%) of those who died presented with acidosis. Of the 42 patients with ketosis, four (44.4%) were men and their median (IQR) age was 69.0 ( 55.0–85.5) years, while nine patients (21.4%) died. All nine patients had a history of cardiovascular and cerebrovascular disease with no obvious history of respiratory disease, and died from multiple organ failure.

DISCUSSION

In the present study, we reported that COVID‐19 infection caused ketosis or ketoacidosis, and induced diabetic ketoacidosis (DKA) for those patients with diabetes. Ketosis increased the length of hospital stay and mortality. Meanwhile, diabetes increased the length of hospital stay for patients with ketosis but had no effect on their mortality. Ketones are formed in the liver from free fatty acids. When ketone consumption decreases, it results in ketosis, which can be clinically evident by elevated blood concentrations of ketone bodies (β‐hydroxybutyrate, acetoacetate and acetone). Ketoacidosis, a severe metabolic disorder characterized by the accumulation of ketone bodies and acidosis, is mostly seen in people with diabetes and is rarely induced by other pathological conditions. In the present study, 42 patients with COVID‐19 had ketosis, including 27 who did not have diabetes. Meanwhile, five patients with COVID‐19 showed ketoacidosis, including three patients with diabetes and two without diabetes, which suggests that COVID‐19 might accelerate fat breakdown and induce ketosis, with further development of ketoacidosis. However, a previous study reported that patients with ketosis tended to have type 2 diabetes ; therefore, non‐diabetic patients with ketosis should control their diet and exercise frequently to reduce the risk of diabetes. Further research is needed to confirm such observations. Diabetic ketoacidosis is a potentially fatal metabolic complication attributable to uncontrolled blood glucose, which is more common in people with type 1 diabetes. However, it can also occur in type 2 diabetes and viral infection. In the present study, three patients with COVID‐19 had DKA, one of whom died. We should pay attention to COVID‐19 patients with ketoacidosis, therefore, especially those with diabetes, in order to reduce the associated mortality from complications of COVID‐19. Notably, the mechanism of COVID‐19‐induced DKA needs further research. The study was limited because of the small number of patients with COVID‐19 progressing from ketosis to ketoacidosis. Future studies should pay considerable attention to ketosis and ketoacidosis in such a population, as well as observe the long‐term prognosis of the disease. In conclusion, we reported that COVID‐19 infection caused ketosis or ketoacidosis, and induced DKA for those patients with diabetes. Ketosis increased the length of hospital stay and mortality. Meanwhile, diabetes increased the length of hospital stay for patients with ketosis but had no effect on their mortality. The mechanism of COVID‐19‐induced ketosis, ketoacidosis or DKA needs further research.

CONFLICTS OF INTEREST

The authors declare no competing interests.

AUTHORS CONTRIBUTIONS

A.P.D. and J.Y.L. had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Contributions were as follows: J.Y.L. and A.P.D. conceived and designed the experiments; J.Y.L., X.F.W., H.M.Z. and A.P.D. performed the experiments; J.Y.L., X.F.W., J.C., X.R.Z. and A.P. D. analysed the data; J.Y.L. wrote the paper; J.Y.L., X.F.W. and J.C. contributed equally.
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1.  COVID-19 and Diabetes: What Should We Expect?

Authors:  Marlus da Silva Pedrosa; Fernando Neves Nogueira
Journal:  J Diabetes Sci Technol       Date:  2020-08-07

2.  Glucose Monitoring and Diabetes Management in the Time of Coronavirus Disease 2019.

Authors:  John B Welsh; Ginny Hu; Tomas C Walker; Neeta Sharma; Daniel Cherñavvsky
Journal:  J Diabetes Sci Technol       Date:  2020-05-22

3.  COVID-19 and diabetes: What have we learned so far?

Authors:  Nida Taher; Mohammed Sb Huda; Tahseen A Chowdhury
Journal:  Clin Med (Lond)       Date:  2020-05-22       Impact factor: 2.659

4.  SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas.

Authors:  Janis A Müller; Rüdiger Groß; Carina Conzelmann; Jana Krüger; Uta Merle; Johannes Steinhart; Tatjana Weil; Lennart Koepke; Caterina Prelli Bozzo; Clarissa Read; Giorgio Fois; Tim Eiseler; Julia Gehrmann; Joanne van Vuuren; Isabel M Wessbecher; Manfred Frick; Ivan G Costa; Markus Breunig; Beate Grüner; Lynn Peters; Michael Schuster; Stefan Liebau; Thomas Seufferlein; Steffen Stenger; Albrecht Stenzinger; Patrick E MacDonald; Frank Kirchhoff; Konstantin M J Sparrer; Paul Walther; Heiko Lickert; Thomas F E Barth; Martin Wagner; Jan Münch; Sandra Heller; Alexander Kleger
Journal:  Nat Metab       Date:  2021-02-03

Review 5.  Crosstalk of TLR4, vascular NADPH oxidase, and COVID-19 in diabetes: What are the potential implications?

Authors:  Amanda Almeida de Oliveira; Kenia Pedrosa Nunes
Journal:  Vascul Pharmacol       Date:  2021-05-26       Impact factor: 5.773

6.  The Role of Nutrition in COVID-19 Susceptibility and Severity of Disease: A Systematic Review.

Authors:  Philip T James; Zakari Ali; Andrew E Armitage; Ana Bonell; Carla Cerami; Hal Drakesmith; Modou Jobe; Kerry S Jones; Zara Liew; Sophie E Moore; Fernanda Morales-Berstein; Helen M Nabwera; Behzad Nadjm; Sant-Rayn Pasricha; Pauline Scheelbeek; Matt J Silver; Megan R Teh; Andrew M Prentice
Journal:  J Nutr       Date:  2021-07-01       Impact factor: 4.798

7.  Effect of COVID-19 on the clinical course of diabetic ketoacidosis (DKA) in people with type 1 and type 2 diabetes.

Authors:  Punith Kempegowda; Eka Melson; Agnes Johnson; Lucy Wallett; Lucretia Thomas; Dengyi Zhou; Catherine Holmes; Agata Juszczak; Mohammed Ali Karamat; Sandip Ghosh; Wasim Hanif; Parth Narendran; Srikanth Bellary
Journal:  Endocr Connect       Date:  2021-04       Impact factor: 3.335

8.  Viral infiltration of pancreatic islets in patients with COVID-19.

Authors:  Charlotte Steenblock; Stefanie Richter; Ilona Berger; Marko Barovic; Janine Schmid; Undine Schubert; Natalia Jarzebska; Anne von Mässenhausen; Andreas Linkermann; Annette Schürmann; Jessica Pablik; Thomas Dienemann; Katja Evert; Roman N Rodionov; Natalia Y Semenova; Vsevolod A Zinserling; Raul R Gainetdinov; Gustavo Baretton; Dirk Lindemann; Michele Solimena; Barbara Ludwig; Stefan R Bornstein
Journal:  Nat Commun       Date:  2021-06-10       Impact factor: 14.919

Review 9.  Type 1 Diabetes Mellitus in the SARS-CoV-2 Pandemic: Oxidative Stress as a Major Pathophysiological Mechanism Linked to Adverse Clinical Outcomes.

Authors:  Aikaterini Kountouri; Emmanouil Korakas; Ignatios Ikonomidis; Athanasios Raptis; Nikolaos Tentolouris; George Dimitriadis; Vaia Lambadiari
Journal:  Antioxidants (Basel)       Date:  2021-05-09

10.  Sensor Array and Gas Chromatographic Detection of the Blood Serum Volatolomic Signature of COVID-19.

Authors:  Yolande Ketchanji Mougang; Lorena Di Zazzo; Marilena Minieri; Rosamaria Capuano; Alexandro Catini; Jacopo Maria Legramente; Roberto Paolesse; Sergio Bernardini; Corrado Di Natale
Journal:  iScience       Date:  2021-07-10
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