Read on Twitter
1/ THREAD: Healthcare Professionals continue to care for patients every day without adequate protection and put themselves, families, coworkers, patients, & communities at risk of death or significant injury from #COVID19. So, what is this new CDC DATA? 
https://www.cdc.gov/mmwr/volumes/69/wr/pdfs/mm6943e3-H.pdf https://twitter.com/arghavan_salles/status/1320941628178067456
https://www.cdc.gov/mmwr/volumes/69/wr/pdfs/mm6943e3-H.pdf https://twitter.com/arghavan_salles/status/1320941628178067456
2/ #COVID19 Associated Hospitalization Surveillance Network (COVID-NET) Database Analysis
Where: 13 states CA, CO, CT, GA, MD, MI, MN, NM, NY, OH, OR, TN, UT
When: March 1 – May 31, 2020
N = 28,972 hospitalized adult patients
→ 8,515 sampled for complete chart abstraction
Where: 13 states CA, CO, CT, GA, MD, MI, MN, NM, NY, OH, OR, TN, UT
When: March 1 – May 31, 2020
N = 28,972 hospitalized adult patients
→ 8,515 sampled for complete chart abstraction
3/ → 6,760 sampled cases w/ HCP status
438 = HCP identified in this sample of hospitalized adults
Inclusion criteria: ≥18 yo, +SARS-CoV-2 test result during their hospitalization OR within 14 days before admission, & hospitalized with COVID-19 during 3/1-5/31
438 = HCP identified in this sample of hospitalized adults
Inclusion criteria: ≥18 yo, +SARS-CoV-2 test result during their hospitalization OR within 14 days before admission, & hospitalized with COVID-19 during 3/1-5/31
4/ **Important to note that due to age stratified sampling, unweighted case counts as well as weighted percentages are presented**
PATIENT DATA:
49 yo = Median age
278 (46.4%) = 18-49 yrs
139 (46.1%) = 50-64 yrs
21 (7.5%) = >65 yrs
71.9% (307) = Female
28.1% (131) = Male
PATIENT DATA:
49 yo = Median age
278 (46.4%) = 18-49 yrs
139 (46.1%) = 50-64 yrs
21 (7.5%) = >65 yrs
71.9% (307) = Female
28.1% (131) = Male
5/ MORE PATIENT DATA:
52% (184) = Black
27.4% (142) = White
8.6% (48) = Hispanic or Latino
6.8% (39) = American Indian or Alaska Native
3.2% (12) = Asian or Pacific Islander
@uche_blackstock @DrOniBee @gradydoctor @Theresa_Chapple @DrFNA @DrAyanaJordan @mclemoremr @iamn0tthe1
52% (184) = Black
27.4% (142) = White
8.6% (48) = Hispanic or Latino
6.8% (39) = American Indian or Alaska Native
3.2% (12) = Asian or Pacific Islander
@uche_blackstock @DrOniBee @gradydoctor @Theresa_Chapple @DrFNA @DrAyanaJordan @mclemoremr @iamn0tthe1
6/ 36.3% of HCP hospitalized with COVID-19 worked in nursing-related occupations, representing the largest proportion of HCP hospitalized with COVID-19
115 (27.8%) = Nurses
50 (8.5%) = CNA/nursing assistants/nurse aide
#NurseTwitter
115 (27.8%) = Nurses
50 (8.5%) = CNA/nursing assistants/nurse aide
#NurseTwitter
7/ 25 (6.6%) = Patient aide/care aide/caregiver/patient care assistant
17 = Home health personnel
16 = Phlebotomist/technician
16 = Social work/behavioral health/counseling
15 = Physicians
9 = Physical therapist/occupational therapist/chiropractor
7 = Dentist/dental hygienist
17 = Home health personnel
16 = Phlebotomist/technician
16 = Social work/behavioral health/counseling
15 = Physicians
9 = Physical therapist/occupational therapist/chiropractor
7 = Dentist/dental hygienist
8/ 7 = EMS personnel/paramedic
6 = Medical assistant
3 = Nursing home/long-term care/assisted living staff members
3 = Respiratory therapist
22 = HR/Admin staff members
13 = Housekeeping/maintenance staff members
12= Nursing home/long-term care/assisted living staff members
6 = Medical assistant
3 = Nursing home/long-term care/assisted living staff members
3 = Respiratory therapist
22 = HR/Admin staff members
13 = Housekeeping/maintenance staff members
12= Nursing home/long-term care/assisted living staff members
9/ 7 = Food service
6 = Pharmacist/pharmacy staff members, role unspecified
3 = Environmental services
1 = Laboratory staff members, role unspecified
1 = Security
6 = Pharmacist/pharmacy staff members, role unspecified
3 = Environmental services
1 = Laboratory staff members, role unspecified
1 = Security
10/ CARE:
4 days = Median length of hospital stay [range 3-9 days]
116 (27.5%) = Admitted to ICU
6 days = Median length of ICU stay [range 3-20]
65 (15.8%) = Mechanical Ventilation
→2 pregnant patients were admitted to the ICU, & 1 required vent [34 preg]
5 (1.9%) = ECMO
4 days = Median length of hospital stay [range 3-9 days]
116 (27.5%) = Admitted to ICU
6 days = Median length of ICU stay [range 3-20]
65 (15.8%) = Mechanical Ventilation
→2 pregnant patients were admitted to the ICU, & 1 required vent [34 preg]
5 (1.9%) = ECMO
11/ CLINICAL DIAGNOSES:
213 (56.7%) = Pneumonia
170 (42.9%) = Acute Respiratory Failure
63 (13.2%) = Sepsis
46 (9.7%)= Acute Renal Failure
38 (9.0%) = ARDS
16 (4.2%) = DECEASED
213 (56.7%) = Pneumonia
170 (42.9%) = Acute Respiratory Failure
63 (13.2%) = Sepsis
46 (9.7%)= Acute Renal Failure
38 (9.0%) = ARDS
16 (4.2%) = DECEASED
12/ Our government, institutions, & the #American public have taken the morality of Healthcare Professionals & used it to exploit necessary skills without regard to personal safety, or the safety their families, coworkers, patients, or communities.
Integral & yet replaceable.
Integral & yet replaceable.
13/ These work associated infections and subsequent hospitalizations were preventable.
The CDC recommendations of PPE in this report are inadequate based on the existing science.
Clinicians are STILL reusing PPE and STILL gathering their own #getusPPE @meganranney @erictopol
The CDC recommendations of PPE in this report are inadequate based on the existing science.
Clinicians are STILL reusing PPE and STILL gathering their own #getusPPE @meganranney @erictopol
14/ At what point do we say enough, our deaths are PREVENTABLE?
How many healthcare professionals have to get sick?
How many of us have to needlessly die?
The loss of a healer is the loss of all the people that person may have also helped.
How many healthcare professionals have to get sick?
How many of us have to needlessly die?
The loss of a healer is the loss of all the people that person may have also helped.
15/ America,
When will we listen to, hear, and respect healthcare professionals?
When will we listen to, hear, and respect nurses?
When will we listen to, hear, and respect women?
When will we listen to, hear, and respect Black women?
When will we listen to, hear, and respect healthcare professionals?
When will we listen to, hear, and respect nurses?
When will we listen to, hear, and respect women?
When will we listen to, hear, and respect Black women?
16/ The realization of being viewed as so interchangeable, coupled with bearing witness to the magnitude of suffering & death from #COVID & feelings of futility in fighting a novel pathogen with little to no national support will traumatize healthcare professionals for years.
@threadreaderapp please unroll
Also, for anyone who wants to know the details of the age stratification (and representation of pregnant and 18+ patients) in the sampling:
