Background
Bacterial infections may complicate viral pneumonias. Recent reports suggest that bacterial co-infection at time of presentation is uncommon in coronavirus disease 2019 (COVID-19); however, estimates were based on microbiology tests alone. We sought to develop and apply consensus definitions, incorporating clinical criteria to better understand the rate of co-infections and antibiotic use in COVID-19.
Methods
A total of 1016 adult patients admitted to 5 hospitals in the Johns Hopkins Health System between March 1, 2020, and May 31, 2020, with COVID-19 were evaluated. Adjudication of co-infection using definitions developed by a multidisciplinary team for this study was performed. Both respiratory and common nonrespiratory co-infections were assessed. The definition of bacterial community-acquired pneumonia (bCAP) included proven (clinical, laboratory, and radiographic criteria plus microbiologic diagnosis), probable (clinical, laboratory, and radiographic criteria without microbiologic diagnosis), and possible (not all clinical, laboratory, and radiographic criteria met) categories. Clinical characteristics and antimicrobial use were assessed in the context of the consensus definitions.
Results
Bacterial respiratory co-infections were infrequent (1.2%); 1 patient had proven bCAP, and 11 (1.1%) had probable bCAP. Two patients (0.2%) had viral respiratory co-infections. Although 69% of patients received antibiotics for pneumonia, the majority were stopped within 48 hours in patients with possible or no evidence of bCAP. The most common nonrespiratory infection was urinary tract infection (present in 3% of the cohort).
Conclusions
Using multidisciplinary consensus definitions, proven or probable bCAP was uncommon in adults hospitalized due to COVID-19, as were other nonrespiratory bacterial infections. Empiric antibiotic use was high, highlighting the need to enhance antibiotic stewardship in the treatment of viral pneumonias.
We conducted a double-blind study to determine the efficacy of 17alpha-hydroxyprogesterone caproate in preventing premature delivery in 43 high-risk patients. Premature delivery did not occur in 18 patients receiving the progestational agent, whereas 41 per cent of the 22 receiving the palcebo had premature delivery (P less than 0.01). The mean duration of pregnancy and the mean birth weight in the former group (38.6 weeks +/- 1.6 S.D., and 2836 g +/- 412 S.D.) were both significantly greater (P less than 0.025) than that in the latter (35.2 weeks +/- 6.7 S.D.; 2361 g +/- 1085 S.D.). The perinatal mortality rate in the group given the progestational agent (O per cent) was significantly less than that observed in the placebo group (27 per cent) (P less than 0.05). Although there were no complications attributable to the progestational drug, the study population was too small for assessment of immediate or long term safety. However, the results indicate a possible obstetric use for this drug.
The relationship between the hypothalamo-pituitary-gonadal (HPG) axis and the hypothalamo-pituitary-adrenal (HPA) axis has been well documented in the rat. In most cases, a negative coupling was observed and an inhibitory effect of the HPA axis upon the HPG was shown. In the female rat, a marked circadian rhythm of corticosterone plasma values is observed during each day of the estrous cycle, with maximal values around 08:00 p.m. The preovulatory luteinizing hormone (LH) surge also occurs at 08:00 p.m. on the day of proestrus. Here we measured circadian variations of plasma cortisol in humans in relation with the time of initiation of the preovulatory LH surge. Blood samples were taken at 08:00 a.m., 12:00 a.m., 04:00 p.m., 08:00 p.m., 12:00 p.m., and 04:00 a.m. from 19 subjects for 4 consecutive days, once 17β-estradiol (E2) values reached 125 pg/ml (days 7–10 of the menstrual cycle). Serum E2 and LH determinations were performed by microparticle enzyme immunoassays. Serum progesterone and plasma cortisol determinations were made using RIA methods. For plasma cortisol values, a marked circadian rhythm, with 2- to 3-fold higher values during the morning than during the afternoon, was almost identical before, during and after the LH surge. However, values were generally higher during the follicular phase than during the luteal phase. Maximum cortisol values occurred between 04:00 and 08:00 a.m. and minimal cortisol values between 04:00 and 08:00 p.m. Initiation of the LH surge (50% over the mean of previous values) occurred at 04:00 a.m. (20% of the cases) or at 08:00 a.m. (80% of the cases). There was a strong coupling between the onset of the surge and the acrophase of the cortisol circadian rhythm: maximal cortisol plasma values were seen at 04:00 a.m. when the LH preovulatory surge started at 04:00 a.m. and 08:00 a.m. when it started at 08:00 a.m. The present results show that the positive coupling documented in the female rat between the HPA and the HPG axis at the time of preovulatory LH surge is also present during the menstrual cycle in the human.
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