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COVID-19 and &
Diabetes Mellitus
Dr Shahjada Selim
Associate Professor
Department of Endocrinology
Bangabandhu Sheikh Mujib Medical University, Dhaka
Email: selimshahjada@gmail.com, info@shahjadaselim.com
The novel coronavirus
MERS, Middle East Respiratory Syndrome
Andersen KG et al. Nat Med 2020. https://doi.org/10.1038/s41591-020-0820-9
COVID-19 coronavirus particles, coloured transmission electron micrograph (tEM)
● First identified in Wuhan, China, in Dec 2019
● It is an enveloped RNA (ribonucleic acid) virus
● Also called severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2)
● SARS-CoV-2 is the seventh coronavirus known
to infect humans
● SARS-CoV, MERS-CoV and SARS-CoV-2 can
cause severe disease, whereas HKU1, NL63,
OC43 and 229E are associated with mild
symptoms
● SARS-CoV-2 causes the disease COVID-
19 CoronaVIrus Disease – 2019 (COVID-
19)
Presenting symptoms of COVID-19
Xie et al. Int J Infect Dis. https://doi.org/10.1016/j.ijid.2020.03.071
Studies Huang et al. Chen et al. Wang et al. Guan et al.
Symptoms
Fever (%) 98 83 98.6 87.9
Cough (%) 76 82 59.4 67.7
Myalgia (%) 44 11 34.8 14.8
Fatigue (%) NA 69.6 38.1
Shortness of breath (%) 55 31 31.2 31-55
Headache(%) 8 8 6.5 13.6
Diarrhea (%) 3 2 10.1 3.7
Loss of smell and taste are more recently identified symptoms
Presenting symptoms of COVID-19
Key time-to-event distributions
Li et al. N Engl J Med 2020;382:1199-207.
0.25
0.20
0.15
0.10
0.05
0.00
0 14 217
RelativeFrequency
Days from Infection to Symptom Onset
0.20
0.15
0.10
0.05
0.00
0 14 217
RelativeFrequency
Serial Interval (days)
0.25
0.20
0.15
0.10
0.05
0.00
0 6 123
RelativeFrequency
Days from Illness Onset to First Medical Visit
9
Onset before January 1
Onset during January 1-11
A B
C D
0.15
0.10
0.05
0.00
0 2010
RelativeFrequency
Days from Illness Onset to Hospitalization
30
Onset before January 1
Onset during January 1-11
Key time-to-event distributions
Epidemiology characteristics of COVID-19 compared to SARS and
MERS
*the data were accepted for publication on 15 April 2020
Xie et al. Int J Infect Dis. https://doi.org/10.1016/j.ijid.2020.03.071
COVID-19 SARS MERS
Original location Wuhan, China Guangdong, China Jeddah, Saudi Arabia
Total cases (global)
1,980,003+*
8096 2229
Total death (global) 126,557+* 774 791
Healthcare worker cases (%) 3.8 21 18.6
Reproductive number 3.28 3.0 <1.0
Incubation period (days) 4.75-6.4 4.0 4.5-5.2
Serial interval (days) 2.6-7.5 8.4 12.6
Case-fatality rate (%) 3.0 9.6 35.5
CFR with comorbidities (%) 73.3 46.0 60.0
Epidemiology characteristics of COVID-19 compared to SARS and
MERS
Source: https://coronavirus.jhu.edu/map.html
Bangladesh is also declared the
COVID 19 infection reported from
Directorate General of Health
Service on daily basis with 1,012
confirmed cases and 46
deaths having community
transmission (dated till April 14,
2020) for total tests 13,128.
Bangladesh Scenario
Source: IEDCR
Mortality among
Physicians: 02 (15.042020)
Estimates of case fatality ratio shows strong age gradient in risk of
death
Verity et al. Lancet Infect Dis 2020. https://doi.org/10.1016/S1473-3099(20)30243-7
Rest of China Wuhan
≥80
70−79
60−69
50−59
40−49
30−39
20−29
10−19
0−9
0.3 0.2 0.1 0 0.1 0.2 0.3
Age,years
Proportion of cases
0.20
0.15
0.10
0.05
0.00
0−9 10−19 20−29 30−39 40−49 50−59 60−69 70−79 ≥80
Age (years)Casefatalityratio
Estimates of case fatality ratio shows strong age gradient in risk of
death
Bangladesh Data (Updated -11.04.2020)
Source: IEDCR
Prevalence of comorbidities in COVID 19 infection
Yang J et al. Int J Infect Dis. S1201-9712(20)30136-3. doi: 10.1016/j.ijid.2020.03.017. [Epub ahead of print]
Meta analysis of 8 studies with 46,248 COVID-19 patients showed the most
prevalent comorbidity:
Hypertension
17±7
(95% CI 14-22%)
Diabetes
8±6
(95% CI 6-11%)
Cardiovascular
diseases
5±4
(95% CI 4-7%)
Respiratory
system diseases
2±0
(95% CI 1-3%)
Prevalence of comorbidities in COVID 19 infection
Underlying diseases in COVID-19 inpatients
Xie et al. Int J Infect Dis. https://doi.org/10.1016/j.ijid.2020.03.071
Studies Huang et al. Chen et al. Wang et al. Guan et al.
Mean Age (yrs) 49 55.5 56 47
Sex ratio (male: female) 73:27 68:32 54.3:45.7 58.1:41.9
Exposure history (%) 66 49 8.7 71.8
Underlying diseases (%) 32 50 NA 23.2
Diabetes (%) 20 13 10.1 7.4
Hypertension (%) 15 NA 31.2 14.9
Cardio-cerebrovascular diseases (%) 15 40 19.6 3.9
Malignancy (%) NA 1 7.2 0.9
Underlying diseases in COVID-19 inpatients
Comparison of the time-dependent risk of reaching to the composite endpoints. a) The time-
dependent risk of reaching to the composite endpoints between patients with (orange curve) or
without any comorbidity (dark blue curve). b) The time-dependent risk of ...
Wei-jie Guan et al. Eur Respir J doi:10.1183/13993003.00547-2020
©2020 by European Respiratory Society
Disease severity, treatment, and prognosis of
COVID-19 patients
DM, diabetes mellitus; ECMO, extracorporeal membrane oxygenation.
Zhang Y et al. https://www.medrxiv.org/content/10.1101/2020.03.24.20042358v1
Total DM Non-DM p
Variable (N=258) (n=63) (n=195)
Severity, n (%)
Mild to moderate 87 (33.7) 18 (28.6) 69 (35.4) 0.028
Severe 116 (45.0) 24 (38.1) 92 (47.2)
Critical 55 (21.3) 21 (33.3) 34 (17.4)
Complications, n (%)
Acute respiratory distress 62 (24.0) 24 (38.1) 38 (19.5) 0.001
Acute cardiac injury 19 (7.4) 9 (14.5) 10 (5.1) 0.016
Acute kidney injury 7 (2.7) 3 (4.8) 4 (2.1) 0.250
Total DM Non-DM p
Variable (N=258) (n=63) (n=195)
Oxygen support, n (%)
Nasal cannula 148 (57.4) 30 (47.6) 118 (60.5) 0.037
High-flow oxygen 24 (12.4) 8 (12.7) 24 (12.3)
Non-invasive ventilation 26 (10.1) 10 (15.9) 16 (8.2)
Invasive mechanical ventilation 16 (6.2) 7 (11.1) 9 (4.6)
ECMO 1 (0.4) 1 (1.6) 0 (0)
Prognosis, n (%)
Discharged 87 (33.7) 16 (35.7) 71 (36.4) 0.039
Not discharged yet 156 (60.5) 40 (63.5) 116 (59.5)
Death 15 (5.8) 7 (11.1) 8 (4.1)
Disease severity, treatment, and prognosis of
COVID-19 patients
Associations of diabetes and FBG with fatality of COVID-19
FBG, fasting blood glucose
Zhang Y et al. https://www.medrxiv.org/content/10.1101/2020.03.24.20042358v1
Model Ia Model IIb Model IIIc
Variable AHR
(95% CI)
P AHR
(95% CI)
P AHR
(95% CI)
P
DM 2.80
(1.01,7.80)
0.048 2.840
(1.01, 8.01)
0.048 3.64
(1.09, 12.21)
0.036
FBG
(mmol/L)
1.14
(1.06,1.22)
<0.001 1.142
(1.07, 1.23)
<0.001 1.19
(1.08, 1.31)
<0.001
AHR, adjusted hazard ratio; CI: confidence interval. DM: diabetes mellitus; FBG: fasting blood glucose.
a Adjusted for age.
b Additionally adjusted for preexisting cardiovascular disease and chronic kidney disease.
c Additionally adjusted for inflammatory biomarkers (leucocytes, neutrophils, lymphocyte, eosinophil, NLR, neutrophil-to-lymphocyte ratio; C-reactive protein,
procalcitonin).
Associations of diabetes and FBG with fatality of COVID-19
Diabetes is a risk factor for mortality of COVID-19
1. Zhang BC, et al. medRxiv preprint , 2020 online
2. Guan WJ,et al. medRxiv preprint , 2020 online
3.China CDC Weekly,2020, 2(8): 113-122
4.《Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19),2020
 A large national sample study in China showed that the mortality of patients with diabetes was significantly
higher than that of non-diabetic patients(10% vs 2.5% P<0.0012) (Figure 1)
 Chinese CDC declared that patients who reported no comorbid conditions had a case fatality rate(CFR**)
of 0.9%, while patients with comorbid conditions had much higher rates--7.3% for diabetes.3(Figure 2)
3.1%
10.0%
2.5%
0%
4%
8%
12%
All patients Diabetic Non- diabetic
P<0.001
Figure 1:The mortality of 1590
COVID-19 patients
N=1590 N=130 N=1460
Casefatalityrate(%)
2.3%
7.3%
0.9%
0%
2%
4%
6%
8%
All patients Diabetic No comorbid
conditions*
Figure 2:The mortality of COVID-19
patients reported by China CDC
N=20,982 N=1,102 N=15,536
Casefatalityrate(%)
* The comorbid condition variable, only includes a total of 20,812 patients and 504 deaths and these values were used to calculate percentages in the confirmed cases and
deaths columns.
**The Joint Mission acknowledges the known challenges and biases of reporting crude CFR early in an epidemic.
People with DM have an increased risk of infection because of
innate immunity defects
• Linked to hyperglycaemia
• Both acute and chronic effects
Increased risk of severe infection because of increased cytokines
Why the association?
Ma and Holt Diabet Med 2020. DOI: 10.1111/dme.14300
Why the association?
• Glucose and Glutamide are preferred by SARS-CoV-2
• COVID-19 infection will heighten the state of insulin
resistance in DM
• IL-6 produced as the result of COVID-19 infection
increases the chances fatal consequences the infection
in DM
Why the association?
Ma and Holt Diabet Med 2020. DOI: 10.1111/dme.14300
Why the association?
Why the association?
ACE, angiotensin-converting enzyme, ARB angiotensin-receptor blocker
Vaduganathan et al. N Eng J Med. DOI: 10.1056/NEJMsr2005760
Interaction between
SARS-CoV-2 and the
Renin–Angiotensin–Aldosterone
System
ACE2 links diabetes mellitus,
hypertension and cardiovascular
disease to COVID-19
SARS-CoV-2
Spike protein
Binding to ACE2
ACE2
Angiotensin
(1-9)
Angiotensin
(1-7)
Angiotensin
I
Angiotensin
II
ACE
inhibitors
ARBs
Local or systemic
infection or sepsis
ACE
Angiotensin II
Type 1 receptor
Viral entry, replication,
and ACE2
down-regulation
Acute lung injury
Adverse myocardial
remodeling
Vasoconstriction
Vascular permeability
ACE2
Why the association?
There may be interruption or non-
standard treatment with OAD in
isolation wards, resulting in
glucose fluctuationIrregular diet, reduced
exercise, gastrointestinal
symptoms, etc., affect diet,
resulting in glucose
fluctuation
Stress conditions like
infection increase
glucocorticoids secretion
The use of glucocorticoids
in treatment can lead to a
sharp rise in glucose
COVID-19 can cause human body
to produce a large number of
inflammatory cytokines and lead
to extreme stress in some severe
and critical patients
Fear, anxiety and tension
may increase glucose level
and induce glucose
fluctuation
Reasons for glucose fluctuation in patients with diabetes and COVID-19
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
Different challenges for diabetes management during
the COVID-19 pandemic
Panic
Home
quarantine
Shortage of
medical resources
Clinical scenarios of diabetes management during the COVID-19 pandemic
Stressful,
anxious,
depressed
Increased consumption
of alcohol
Insomnia/hypersomnia
/change in diurnal
rhythms
Change in regimen
(withdraw or change
medications )
No exercise/
over-exercise
Change in
compliance to
medications (dosing
time and frequency)
Miss routine
visit
Eat too much/
miss meals
Delayed visit
to emergency
care
Change in diet
composition
Recommendations on diabetes management during the COVID-19 pandemic
by International Diabetes Federation — diabetes combined with COVID-19
https://www.idf.org/our-network/regions-members/europe/europe-news/196:information-on-corona-virus-disease-2019-covid-19-outbreak-and-guidance-for-people-with-diabetes.html
There hasn’t been enough evidence of evidence-
based medicine on COVID-19 management in
diabetes. Referring to Standards of Care of Type 2
diabetes, IDF refers to follow the recommendations
for the SICK DAY RULES for the patients with
diabetes and COVID-19, for better medical care and
improved prognosis.
Target stratification of glucose management
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
Target stratification of glucose management:
 For mild and moderate non-elderly COVID-19 patients, stick to strict/ tight control target
 For mild and moderate elderly patients, or patients who have been using glucocorticoid, set up a low or
medium control target
 For severe and critical patients, elderly patients, hypoglycemia intolerable patients, or patients who have organ
dysfunction or serious cardiovascular and cerebrovascular diseases, set up a low control target
Target stratification of glucose management in hospitalized patients
Hypoglycemia occurrence should be minimized during glucose management in diabetes
patients with COVID-19. Medical care should be performed in time if hypoglycemia
occurs.
High Medium Low
FPG/PPG (mmol/L) 4.4-6.1 6.1-7.8 7.8-10.0
2h PPG/GLU (mmol/L) 6.1-7.8 7.8-10.0 7.8-13.9
Therapeutic principle of glucose management
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
Insulin treatment is the first choice if diabetes is combined with severe infection:
 For non-critical patients, insulin s.c. injection is recommended, and basic dosage can refer to the out-of-
hospital dosage
 For critical patients, CSII is recommended
 IV insulin treatment should be started in combination with aggressive fluid infusion if serious glucose
metabolism disorder with water and electrolyte and acid-base disorders is seen
If clinical condition is stable and eating pattern is regular, patients can continue OAD
treatment as before admission
Using NPH and long-acting insulin during glucocorticoid treatment to control glucose
Measure 7 point glucose (if necessary, plus nocturnal glucose) during insulin treatment
Metformin Not recommended in severe/critical patients; with gastrointestinal symptoms or lack of oxygen
Secretagogue
Mild/moderate patients using glucocorticoid: for early stage chose short-acting agents; for advanced stage chose
middle/long-acting agents if FPG and/or PPG is increased
α-glucosidase inhibitor Can be used to control PPG. Not recommended in severe/critical patients; with gastrointestinal symptoms
TZD
Can be used during the process of glucocorticoid treatment; regimen should be adjusted according to treatment
effect
DPP-4i Not recommended/ Recommended
SGLT-2i Not recommended for COVID-19 patients have stress reaction at different levels
Glucose management strategies for different types of
diabetes patients with COVID-19
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
 Insulin pump or basal +
bolus insulin treatment is
the optimal regime
 Recommend insulin
analogues as first choice
 Insulin treatment should
be individualized
T1DM
 For mild COVID-19 patients
with low-moderate glucose
increase, non-insulin diabetes
drugs can be used
 For patients with fever or
treated by glucocorticoids,
insulin treatment is the first
choice
 For critical patients, IV insulin
is recommended
T2DM
 It is important to monitor
blood glucose after lunch
and before dinner as
glucocorticoid-induced
increased glucose often
occurs between after lunch
and before sleep.
 Insulin is the first choice
Glucocorticoid-
associated diabetes
Glucose management strategies for different clinical
classification
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
 Both OAD and insulin treatment can be maintained and it is not necessary to
adjust original regimen
 Progress of COVID-19 can be rapid and worsen with hyperglycemia. It is
recommended in diabetes patients with COVID-19, even mild, to increase glucose
measurement frequency, and consult with physicians to adjust regimen in time if
glucose target cannot be achieved
Mild
 Maintain original regimen if patient’s mental condition, appetite and glucose
control are within normal range
 Switch OAD to insulin for patients with obvious COVID-19 symptoms who can’t
eat regularly
 Suggest switching premix insulin regime to basal-bolus regime or insulin pump to
flexibly manage glucose
Moderate
 IV Insulin should be the first-line treatment.
 For patients who are in process of continuous renal replacement therapy (CRRT),
the proportion of glucose and insulin in the replacement solution should be
increased or decreased according to glucose monitoring result to avoid
hypoglycemia and severe glucose fluctuation.
Severe and
critical
BES Position Statement for COVID-19 Pandemic
What endocrinologists can do:
o We should guide our patients to better control their diabetes and
complications through direct consultation, email, message, videocall or social
media.
o If our clinical Judgement (for patients having fever, cough and shortness of
breath) points toward suspected case, refer them to nearby designated
hospitals.
o We should remind our patients about sick day management rules (keep
hydrated, maintain nutrition including CHO and salty food, monitor blood
glucose and monitor temperature)
o If DM is well controlled, we can minimize the disaster.
BES Position Statement for COVID-19 Pandemic
What patients should do:
• Continue to take your prescribed medications.
• Monitor your blood glucose regularly and adjust dose of medication.
• Keep reserve of medications and glucose testing kit and strips
supplies for 1-3 months.
• Perform home-based exercise like treadmill, stationary cycling bike,
free hand exercise or aerobics, walking in room if it is big, roof and in
parking area or stair up-down.
• Maintain healthy diet. Take plenty of vegetables and citrous foods. If
needed take multivitamins and multiminerals (Fe, Cu, Zn, Selenium, Vit
A).
BES Position Statement for COVID-19 Pandemic
What patients should do:
• Wash fruits and vegetables before eating.
• Take more water or sugar-free drinks in hot weather.
• When you do go out in public, avoid crowds & limit close
contact (<2M).
• Avoid non-essential travel.
• Stay home if ill.
BES Position Statement for COVID-19 Pandemic
What patients should do:
• Wash your hands with soap and water regularly, for at least
20 seconds, especially before eating or drinking and after
using bathroom and blowing your nose, coughing or sneezing
and after being in public.
• If soap and water are not readily available, use an alcohol-
based sanitizer with at least 60% alcohol.
• Cover your nose and mouth when coughing or sneezing with
a tissue or a flexed elbow, then throw the tissue in the bin.
Together, we unite for diabetes and
to win the war!

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COVID-19 & Diabetes by Dr Shahjada Selim

  • 1. COVID-19 and & Diabetes Mellitus Dr Shahjada Selim Associate Professor Department of Endocrinology Bangabandhu Sheikh Mujib Medical University, Dhaka Email: selimshahjada@gmail.com, info@shahjadaselim.com
  • 2. The novel coronavirus MERS, Middle East Respiratory Syndrome Andersen KG et al. Nat Med 2020. https://doi.org/10.1038/s41591-020-0820-9 COVID-19 coronavirus particles, coloured transmission electron micrograph (tEM) ● First identified in Wuhan, China, in Dec 2019 ● It is an enveloped RNA (ribonucleic acid) virus ● Also called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ● SARS-CoV-2 is the seventh coronavirus known to infect humans ● SARS-CoV, MERS-CoV and SARS-CoV-2 can cause severe disease, whereas HKU1, NL63, OC43 and 229E are associated with mild symptoms ● SARS-CoV-2 causes the disease COVID- 19 CoronaVIrus Disease – 2019 (COVID- 19)
  • 3. Presenting symptoms of COVID-19 Xie et al. Int J Infect Dis. https://doi.org/10.1016/j.ijid.2020.03.071 Studies Huang et al. Chen et al. Wang et al. Guan et al. Symptoms Fever (%) 98 83 98.6 87.9 Cough (%) 76 82 59.4 67.7 Myalgia (%) 44 11 34.8 14.8 Fatigue (%) NA 69.6 38.1 Shortness of breath (%) 55 31 31.2 31-55 Headache(%) 8 8 6.5 13.6 Diarrhea (%) 3 2 10.1 3.7 Loss of smell and taste are more recently identified symptoms Presenting symptoms of COVID-19
  • 4. Key time-to-event distributions Li et al. N Engl J Med 2020;382:1199-207. 0.25 0.20 0.15 0.10 0.05 0.00 0 14 217 RelativeFrequency Days from Infection to Symptom Onset 0.20 0.15 0.10 0.05 0.00 0 14 217 RelativeFrequency Serial Interval (days) 0.25 0.20 0.15 0.10 0.05 0.00 0 6 123 RelativeFrequency Days from Illness Onset to First Medical Visit 9 Onset before January 1 Onset during January 1-11 A B C D 0.15 0.10 0.05 0.00 0 2010 RelativeFrequency Days from Illness Onset to Hospitalization 30 Onset before January 1 Onset during January 1-11 Key time-to-event distributions
  • 5. Epidemiology characteristics of COVID-19 compared to SARS and MERS *the data were accepted for publication on 15 April 2020 Xie et al. Int J Infect Dis. https://doi.org/10.1016/j.ijid.2020.03.071 COVID-19 SARS MERS Original location Wuhan, China Guangdong, China Jeddah, Saudi Arabia Total cases (global) 1,980,003+* 8096 2229 Total death (global) 126,557+* 774 791 Healthcare worker cases (%) 3.8 21 18.6 Reproductive number 3.28 3.0 <1.0 Incubation period (days) 4.75-6.4 4.0 4.5-5.2 Serial interval (days) 2.6-7.5 8.4 12.6 Case-fatality rate (%) 3.0 9.6 35.5 CFR with comorbidities (%) 73.3 46.0 60.0 Epidemiology characteristics of COVID-19 compared to SARS and MERS
  • 7. Bangladesh is also declared the COVID 19 infection reported from Directorate General of Health Service on daily basis with 1,012 confirmed cases and 46 deaths having community transmission (dated till April 14, 2020) for total tests 13,128. Bangladesh Scenario Source: IEDCR Mortality among Physicians: 02 (15.042020)
  • 8. Estimates of case fatality ratio shows strong age gradient in risk of death Verity et al. Lancet Infect Dis 2020. https://doi.org/10.1016/S1473-3099(20)30243-7 Rest of China Wuhan ≥80 70−79 60−69 50−59 40−49 30−39 20−29 10−19 0−9 0.3 0.2 0.1 0 0.1 0.2 0.3 Age,years Proportion of cases 0.20 0.15 0.10 0.05 0.00 0−9 10−19 20−29 30−39 40−49 50−59 60−69 70−79 ≥80 Age (years)Casefatalityratio Estimates of case fatality ratio shows strong age gradient in risk of death
  • 9. Bangladesh Data (Updated -11.04.2020) Source: IEDCR
  • 10. Prevalence of comorbidities in COVID 19 infection Yang J et al. Int J Infect Dis. S1201-9712(20)30136-3. doi: 10.1016/j.ijid.2020.03.017. [Epub ahead of print] Meta analysis of 8 studies with 46,248 COVID-19 patients showed the most prevalent comorbidity: Hypertension 17±7 (95% CI 14-22%) Diabetes 8±6 (95% CI 6-11%) Cardiovascular diseases 5±4 (95% CI 4-7%) Respiratory system diseases 2±0 (95% CI 1-3%) Prevalence of comorbidities in COVID 19 infection
  • 11. Underlying diseases in COVID-19 inpatients Xie et al. Int J Infect Dis. https://doi.org/10.1016/j.ijid.2020.03.071 Studies Huang et al. Chen et al. Wang et al. Guan et al. Mean Age (yrs) 49 55.5 56 47 Sex ratio (male: female) 73:27 68:32 54.3:45.7 58.1:41.9 Exposure history (%) 66 49 8.7 71.8 Underlying diseases (%) 32 50 NA 23.2 Diabetes (%) 20 13 10.1 7.4 Hypertension (%) 15 NA 31.2 14.9 Cardio-cerebrovascular diseases (%) 15 40 19.6 3.9 Malignancy (%) NA 1 7.2 0.9 Underlying diseases in COVID-19 inpatients
  • 12. Comparison of the time-dependent risk of reaching to the composite endpoints. a) The time- dependent risk of reaching to the composite endpoints between patients with (orange curve) or without any comorbidity (dark blue curve). b) The time-dependent risk of ... Wei-jie Guan et al. Eur Respir J doi:10.1183/13993003.00547-2020 ©2020 by European Respiratory Society
  • 13. Disease severity, treatment, and prognosis of COVID-19 patients DM, diabetes mellitus; ECMO, extracorporeal membrane oxygenation. Zhang Y et al. https://www.medrxiv.org/content/10.1101/2020.03.24.20042358v1 Total DM Non-DM p Variable (N=258) (n=63) (n=195) Severity, n (%) Mild to moderate 87 (33.7) 18 (28.6) 69 (35.4) 0.028 Severe 116 (45.0) 24 (38.1) 92 (47.2) Critical 55 (21.3) 21 (33.3) 34 (17.4) Complications, n (%) Acute respiratory distress 62 (24.0) 24 (38.1) 38 (19.5) 0.001 Acute cardiac injury 19 (7.4) 9 (14.5) 10 (5.1) 0.016 Acute kidney injury 7 (2.7) 3 (4.8) 4 (2.1) 0.250 Total DM Non-DM p Variable (N=258) (n=63) (n=195) Oxygen support, n (%) Nasal cannula 148 (57.4) 30 (47.6) 118 (60.5) 0.037 High-flow oxygen 24 (12.4) 8 (12.7) 24 (12.3) Non-invasive ventilation 26 (10.1) 10 (15.9) 16 (8.2) Invasive mechanical ventilation 16 (6.2) 7 (11.1) 9 (4.6) ECMO 1 (0.4) 1 (1.6) 0 (0) Prognosis, n (%) Discharged 87 (33.7) 16 (35.7) 71 (36.4) 0.039 Not discharged yet 156 (60.5) 40 (63.5) 116 (59.5) Death 15 (5.8) 7 (11.1) 8 (4.1) Disease severity, treatment, and prognosis of COVID-19 patients
  • 14. Associations of diabetes and FBG with fatality of COVID-19 FBG, fasting blood glucose Zhang Y et al. https://www.medrxiv.org/content/10.1101/2020.03.24.20042358v1 Model Ia Model IIb Model IIIc Variable AHR (95% CI) P AHR (95% CI) P AHR (95% CI) P DM 2.80 (1.01,7.80) 0.048 2.840 (1.01, 8.01) 0.048 3.64 (1.09, 12.21) 0.036 FBG (mmol/L) 1.14 (1.06,1.22) <0.001 1.142 (1.07, 1.23) <0.001 1.19 (1.08, 1.31) <0.001 AHR, adjusted hazard ratio; CI: confidence interval. DM: diabetes mellitus; FBG: fasting blood glucose. a Adjusted for age. b Additionally adjusted for preexisting cardiovascular disease and chronic kidney disease. c Additionally adjusted for inflammatory biomarkers (leucocytes, neutrophils, lymphocyte, eosinophil, NLR, neutrophil-to-lymphocyte ratio; C-reactive protein, procalcitonin). Associations of diabetes and FBG with fatality of COVID-19
  • 15. Diabetes is a risk factor for mortality of COVID-19 1. Zhang BC, et al. medRxiv preprint , 2020 online 2. Guan WJ,et al. medRxiv preprint , 2020 online 3.China CDC Weekly,2020, 2(8): 113-122 4.《Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19),2020  A large national sample study in China showed that the mortality of patients with diabetes was significantly higher than that of non-diabetic patients(10% vs 2.5% P<0.0012) (Figure 1)  Chinese CDC declared that patients who reported no comorbid conditions had a case fatality rate(CFR**) of 0.9%, while patients with comorbid conditions had much higher rates--7.3% for diabetes.3(Figure 2) 3.1% 10.0% 2.5% 0% 4% 8% 12% All patients Diabetic Non- diabetic P<0.001 Figure 1:The mortality of 1590 COVID-19 patients N=1590 N=130 N=1460 Casefatalityrate(%) 2.3% 7.3% 0.9% 0% 2% 4% 6% 8% All patients Diabetic No comorbid conditions* Figure 2:The mortality of COVID-19 patients reported by China CDC N=20,982 N=1,102 N=15,536 Casefatalityrate(%) * The comorbid condition variable, only includes a total of 20,812 patients and 504 deaths and these values were used to calculate percentages in the confirmed cases and deaths columns. **The Joint Mission acknowledges the known challenges and biases of reporting crude CFR early in an epidemic.
  • 16. People with DM have an increased risk of infection because of innate immunity defects • Linked to hyperglycaemia • Both acute and chronic effects Increased risk of severe infection because of increased cytokines Why the association? Ma and Holt Diabet Med 2020. DOI: 10.1111/dme.14300 Why the association?
  • 17. • Glucose and Glutamide are preferred by SARS-CoV-2 • COVID-19 infection will heighten the state of insulin resistance in DM • IL-6 produced as the result of COVID-19 infection increases the chances fatal consequences the infection in DM Why the association? Ma and Holt Diabet Med 2020. DOI: 10.1111/dme.14300 Why the association?
  • 18. Why the association? ACE, angiotensin-converting enzyme, ARB angiotensin-receptor blocker Vaduganathan et al. N Eng J Med. DOI: 10.1056/NEJMsr2005760 Interaction between SARS-CoV-2 and the Renin–Angiotensin–Aldosterone System ACE2 links diabetes mellitus, hypertension and cardiovascular disease to COVID-19 SARS-CoV-2 Spike protein Binding to ACE2 ACE2 Angiotensin (1-9) Angiotensin (1-7) Angiotensin I Angiotensin II ACE inhibitors ARBs Local or systemic infection or sepsis ACE Angiotensin II Type 1 receptor Viral entry, replication, and ACE2 down-regulation Acute lung injury Adverse myocardial remodeling Vasoconstriction Vascular permeability ACE2 Why the association?
  • 19. There may be interruption or non- standard treatment with OAD in isolation wards, resulting in glucose fluctuationIrregular diet, reduced exercise, gastrointestinal symptoms, etc., affect diet, resulting in glucose fluctuation Stress conditions like infection increase glucocorticoids secretion The use of glucocorticoids in treatment can lead to a sharp rise in glucose COVID-19 can cause human body to produce a large number of inflammatory cytokines and lead to extreme stress in some severe and critical patients Fear, anxiety and tension may increase glucose level and induce glucose fluctuation Reasons for glucose fluctuation in patients with diabetes and COVID-19 Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
  • 20. Different challenges for diabetes management during the COVID-19 pandemic Panic Home quarantine Shortage of medical resources
  • 21. Clinical scenarios of diabetes management during the COVID-19 pandemic Stressful, anxious, depressed Increased consumption of alcohol Insomnia/hypersomnia /change in diurnal rhythms Change in regimen (withdraw or change medications ) No exercise/ over-exercise Change in compliance to medications (dosing time and frequency) Miss routine visit Eat too much/ miss meals Delayed visit to emergency care Change in diet composition
  • 22. Recommendations on diabetes management during the COVID-19 pandemic by International Diabetes Federation — diabetes combined with COVID-19 https://www.idf.org/our-network/regions-members/europe/europe-news/196:information-on-corona-virus-disease-2019-covid-19-outbreak-and-guidance-for-people-with-diabetes.html There hasn’t been enough evidence of evidence- based medicine on COVID-19 management in diabetes. Referring to Standards of Care of Type 2 diabetes, IDF refers to follow the recommendations for the SICK DAY RULES for the patients with diabetes and COVID-19, for better medical care and improved prognosis.
  • 23. Target stratification of glucose management Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219 Target stratification of glucose management:  For mild and moderate non-elderly COVID-19 patients, stick to strict/ tight control target  For mild and moderate elderly patients, or patients who have been using glucocorticoid, set up a low or medium control target  For severe and critical patients, elderly patients, hypoglycemia intolerable patients, or patients who have organ dysfunction or serious cardiovascular and cerebrovascular diseases, set up a low control target Target stratification of glucose management in hospitalized patients Hypoglycemia occurrence should be minimized during glucose management in diabetes patients with COVID-19. Medical care should be performed in time if hypoglycemia occurs. High Medium Low FPG/PPG (mmol/L) 4.4-6.1 6.1-7.8 7.8-10.0 2h PPG/GLU (mmol/L) 6.1-7.8 7.8-10.0 7.8-13.9
  • 24. Therapeutic principle of glucose management Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219 Insulin treatment is the first choice if diabetes is combined with severe infection:  For non-critical patients, insulin s.c. injection is recommended, and basic dosage can refer to the out-of- hospital dosage  For critical patients, CSII is recommended  IV insulin treatment should be started in combination with aggressive fluid infusion if serious glucose metabolism disorder with water and electrolyte and acid-base disorders is seen If clinical condition is stable and eating pattern is regular, patients can continue OAD treatment as before admission Using NPH and long-acting insulin during glucocorticoid treatment to control glucose Measure 7 point glucose (if necessary, plus nocturnal glucose) during insulin treatment Metformin Not recommended in severe/critical patients; with gastrointestinal symptoms or lack of oxygen Secretagogue Mild/moderate patients using glucocorticoid: for early stage chose short-acting agents; for advanced stage chose middle/long-acting agents if FPG and/or PPG is increased α-glucosidase inhibitor Can be used to control PPG. Not recommended in severe/critical patients; with gastrointestinal symptoms TZD Can be used during the process of glucocorticoid treatment; regimen should be adjusted according to treatment effect DPP-4i Not recommended/ Recommended SGLT-2i Not recommended for COVID-19 patients have stress reaction at different levels
  • 25. Glucose management strategies for different types of diabetes patients with COVID-19 Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219  Insulin pump or basal + bolus insulin treatment is the optimal regime  Recommend insulin analogues as first choice  Insulin treatment should be individualized T1DM  For mild COVID-19 patients with low-moderate glucose increase, non-insulin diabetes drugs can be used  For patients with fever or treated by glucocorticoids, insulin treatment is the first choice  For critical patients, IV insulin is recommended T2DM  It is important to monitor blood glucose after lunch and before dinner as glucocorticoid-induced increased glucose often occurs between after lunch and before sleep.  Insulin is the first choice Glucocorticoid- associated diabetes
  • 26. Glucose management strategies for different clinical classification Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219  Both OAD and insulin treatment can be maintained and it is not necessary to adjust original regimen  Progress of COVID-19 can be rapid and worsen with hyperglycemia. It is recommended in diabetes patients with COVID-19, even mild, to increase glucose measurement frequency, and consult with physicians to adjust regimen in time if glucose target cannot be achieved Mild  Maintain original regimen if patient’s mental condition, appetite and glucose control are within normal range  Switch OAD to insulin for patients with obvious COVID-19 symptoms who can’t eat regularly  Suggest switching premix insulin regime to basal-bolus regime or insulin pump to flexibly manage glucose Moderate  IV Insulin should be the first-line treatment.  For patients who are in process of continuous renal replacement therapy (CRRT), the proportion of glucose and insulin in the replacement solution should be increased or decreased according to glucose monitoring result to avoid hypoglycemia and severe glucose fluctuation. Severe and critical
  • 27. BES Position Statement for COVID-19 Pandemic What endocrinologists can do: o We should guide our patients to better control their diabetes and complications through direct consultation, email, message, videocall or social media. o If our clinical Judgement (for patients having fever, cough and shortness of breath) points toward suspected case, refer them to nearby designated hospitals. o We should remind our patients about sick day management rules (keep hydrated, maintain nutrition including CHO and salty food, monitor blood glucose and monitor temperature) o If DM is well controlled, we can minimize the disaster.
  • 28. BES Position Statement for COVID-19 Pandemic What patients should do: • Continue to take your prescribed medications. • Monitor your blood glucose regularly and adjust dose of medication. • Keep reserve of medications and glucose testing kit and strips supplies for 1-3 months. • Perform home-based exercise like treadmill, stationary cycling bike, free hand exercise or aerobics, walking in room if it is big, roof and in parking area or stair up-down. • Maintain healthy diet. Take plenty of vegetables and citrous foods. If needed take multivitamins and multiminerals (Fe, Cu, Zn, Selenium, Vit A).
  • 29. BES Position Statement for COVID-19 Pandemic What patients should do: • Wash fruits and vegetables before eating. • Take more water or sugar-free drinks in hot weather. • When you do go out in public, avoid crowds & limit close contact (<2M). • Avoid non-essential travel. • Stay home if ill.
  • 30. BES Position Statement for COVID-19 Pandemic What patients should do: • Wash your hands with soap and water regularly, for at least 20 seconds, especially before eating or drinking and after using bathroom and blowing your nose, coughing or sneezing and after being in public. • If soap and water are not readily available, use an alcohol- based sanitizer with at least 60% alcohol. • Cover your nose and mouth when coughing or sneezing with a tissue or a flexed elbow, then throw the tissue in the bin.
  • 31. Together, we unite for diabetes and to win the war!

Editor's Notes

  1. Background The rapid spread of the coronavirus disease 2019 (COVID-19), caused by a zoonotic beta-coronavirus entitled 2019 novel coronavirus (2019-nCoV), has become a global threat. Awareness of the biological features of 2019-nCoV should be updated in time and needs to be comprehensively summarized to help optimize control measures and make therapeutic decisions. Methods Based on recently published literatures, official documents and selected up-to-date preprint studies, we reviewed the virology and origin, epidemiology, clinical manifestations, pathology and treatment of 2019-nCoV infection, in comparison with severe acute respiratory syndrome coronavirus (SARS-CoV) and middle east respiratory syndrome coronavirus (MERS-CoV) infection. Results The genome of 2019-nCoV partially resembled SARS-CoV and MERS-CoV, and indicating a bat origin. The COVID-19 generally had a high reproductive number, a long incubation period, a short serial interval and a low case fatality rate (much higher in patients with comorbidities) than SARS and MERS. Clinical presentation and pathology of COVID-19 greatly resembled SARS and MERS, with less upper respiratory and gastrointestinal symptoms, and more exudative lesions in post-mortems. Potential treatments included remdesivir, chloroquine, tocilizumab, convalescent plasma and vaccine immunization (when possible). Conclusion The initial experience from the current pandemic and lessons from the previous two pandemics can help improve future preparedness plans and combat disease progression.
  2. Background The rapid spread of the coronavirus disease 2019 (COVID-19), caused by a zoonotic beta-coronavirus entitled 2019 novel coronavirus (2019-nCoV), has become a global threat. Awareness of the biological features of 2019-nCoV should be updated in time and needs to be comprehensively summarized to help optimize control measures and make therapeutic decisions. Methods Based on recently published literatures, official documents and selected up-to-date preprint studies, we reviewed the virology and origin, epidemiology, clinical manifestations, pathology and treatment of 2019-nCoV infection, in comparison with severe acute respiratory syndrome coronavirus (SARS-CoV) and middle east respiratory syndrome coronavirus (MERS-CoV) infection. Results The genome of 2019-nCoV partially resembled SARS-CoV and MERS-CoV, and indicating a bat origin. The COVID-19 generally had a high reproductive number, a long incubation period, a short serial interval and a low case fatality rate (much higher in patients with comorbidities) than SARS and MERS. Clinical presentation and pathology of COVID-19 greatly resembled SARS and MERS, with less upper respiratory and gastrointestinal symptoms, and more exudative lesions in post-mortems. Potential treatments included remdesivir, chloroquine, tocilizumab, convalescent plasma and vaccine immunization (when possible). Conclusion The initial experience from the current pandemic and lessons from the previous two pandemics can help improve future preparedness plans and combat disease progression.
  3. (A) Age-distribution of cases in Wuhan and elsewhere in China. (B) Estimates of the case fatality ratio by age group, adjusted for demography and under-ascertainment. Boxes represent median (central horizontal line) and IQR, vertical lines represent 1・5 × IQR, and individual points represent any estimates outside of this range.
  4. An outbreak of Novel Coronavirus (COVID -19) in Wuhan, China, the epidemic is more widespread than initially estimated, with cases now confirmed in multiple countries. Aims The aim of the meta-analysis was to assess the prevalence of comorbidities in the COVID-19 infection patients and the risk of underlying diseases in severe patients compared to non-severe patients. Methods A literature search was conducted using the databases PubMed, EMBASE, and Web of sciences until February 25, 2020. Risk ratio (OR) and 95% confidence intervals (CIs) were pooled using random-effects models. Results Eight studies were included in the meta- analysis, including 46248 infected patients. The result showed the most prevalent clinical symptom was fever ( 91 ± 3, 95% CI 86-97% ), followed by cough (67 ± 7, 95% CI 59-76%), fatigue ( 51 ± 0, 95% CI 34-68% ) and dyspnea ( 30 ± 4, 95% CI 21-40%). The most prevalent comorbidity were hypertension (17 ± 7, 95% CI 14-22%) and diabetes ( 8 ± 6, 95% CI 6-11% ), followed by cardiovascular diseases ( 5 ± 4, 95% CI 4-7% ) and respiratory system disease( 2 ± 0, 95% CI 1-3% ). Compared with the Non-severe patient, the pooled odds ratio of hypertension, respiratory system disease, cardiovascular disease in severe patients were (OR 2.36, 95% CI: 1.46-3.83), (OR 2.46, 95% CI: 1.76-3.44) and (OR 3.42, 95% CI: 1.88-6.22)respectively. Conclusion We assessed the prevalence of comorbidities in the COVID-19 infection patients and found underlying disease, including hypertension, respiratory system disease and cardiovascular, may be a risk factor for severe patients compared with Non-severe patients. Keywords 2019-nCoV COVID-19 Comorbidities Clinical characteristics Epidemiologicalm Meta-analysis
  5. Background The rapid spread of the coronavirus disease 2019 (COVID-19), caused by a zoonotic beta-coronavirus entitled 2019 novel coronavirus (2019-nCoV), has become a global threat. Awareness of the biological features of 2019-nCoV should be updated in time and needs to be comprehensively summarized to help optimize control measures and make therapeutic decisions. Methods Based on recently published literatures, official documents and selected up-to-date preprint studies, we reviewed the virology and origin, epidemiology, clinical manifestations, pathology and treatment of 2019-nCoV infection, in comparison with severe acute respiratory syndrome coronavirus (SARS-CoV) and middle east respiratory syndrome coronavirus (MERS-CoV) infection. Results The genome of 2019-nCoV partially resembled SARS-CoV and MERS-CoV, and indicating a bat origin. The COVID-19 generally had a high reproductive number, a long incubation period, a short serial interval and a low case fatality rate (much higher in patients with comorbidities) than SARS and MERS. Clinical presentation and pathology of COVID-19 greatly resembled SARS and MERS, with less upper respiratory and gastrointestinal symptoms, and more exudative lesions in post-mortems. Potential treatments included remdesivir, chloroquine, tocilizumab, convalescent plasma and vaccine immunization (when possible). Conclusion The initial experience from the current pandemic and lessons from the previous two pandemics can help improve future preparedness plans and combat disease progression.
  6. Comparison of the time-dependent risk of reaching to the composite endpoints. a) The time-dependent risk of reaching to the composite endpoints between patients with (orange curve) or without any comorbidity (dark blue curve). b) The time-dependent risk of reaching to the composite endpoints between patients without any comorbidity (orange curve), patients with a single comorbidity (dark blue curve), and patients with two or more comorbidities (green curve). Cox proportional hazard regression models were applied to determine the potential risk factors associated with the composite endpoints, with the hazards ratio (HR) and 95% confidence interval (95%CI) being reported.
  7. Shown is the initial entry of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into cells, primarily type II pneumocytes, after binding to its functional receptor, angiotensin-converting enzyme 2 (ACE2). After endocytosis of the viral complex, surface ACE2 is further down-regulated, resulting in unopposed angiotensin II accumulation. Local activation of the renin–angiotensin–aldosterone system may mediate lung injury responses to viral insults. ACE denotes angiotensin-converting enzyme, and ARB angiotensin-receptor blocker.
  8. 对血糖管理的目标分层: 年轻、新诊断或病程短的糖尿病患者、发生低血糖的低危人群,控制目标严格 高龄、无法耐受低血糖、存在器官功能不全或严重心脑血管疾病,控制目标宽松或一般 新型冠状病毒肺炎重症或危重症病例:控制目标宽松 若患者有较高低血糖发生风险,建议根据临床情况及合并症予以个体化控制目标。* 低血糖高危人群:糖尿病病程≥15 年、存在无感知性低血糖病史、全天血糖波动大并反复出现低血糖、有严重并发症或伴发病如肝肾功能不全的患者
  9. 治疗原则: 糖尿病合并严重感染时,首选胰岛素治疗: - 非急危重患者,建议皮下胰岛素注射,基础量可参考院外剂量;如院外未使用胰岛素,可按0.1-0.2U/kg/d计算;餐时胰岛素根据患者进餐情况及血糖监测结果调整; - 急危重患者,建议持续静脉胰岛素输注,根据血糖监测调整胰岛素剂量; - 若存在严重糖代谢紊乱伴水、电解质酸碱平衡紊乱,应静脉胰岛素治疗,同时积极补液、纠正水、电解质及酸碱平衡紊乱,具体方案参照下文中DKA治疗; 若患者临床状况较稳定,进食规律,可继续入院前口服降糖药治疗; 存在严重感染时建议暂停使用二甲双胍治疗; 糖皮质激素使用期间,可使用中效或长效胰岛素控制血糖,注意监测血糖,根据结果调整胰岛素的使用; 胰岛素治疗期间,建议监测7点血糖,必要时加测夜间血糖; 糖尿病健康指导;
  10. https://www.idf.org/images/IDF_Europe/Information_on_Corona-Virus_Disease_2019__COVID-19_outbreak_and_guidance_for_people_with_diabetes_-_Final.pdf https://www.aace.com/recent-news-and-updates/aace-position-statement-coronavirus-covid-19-and-people-diabetes-updated https://professional.diabetes.org/content-page/covid-19 https://www.diabetes.org.uk/professionals/resources/coronavirus-clinical-guidance