| Literature DB >> 35527294 |
G Corona1, W Vena2, A Pizzocaro2, F Pallotti3, D Paoli3, G Rastrelli4, E Baldi4, N Cilloni5, M Gacci6, F Semeraro5, A Salonia7,8, S Minhas9, R Pivonello10,11, A Sforza1, L Vignozzi4, A M Isidori3, A Lenzi3, M Maggi12, F Lombardo3.
Abstract
PURPOSE: The short- and long-term andrological effects of coronavirus disease 2019 (COVID-19) have not been clarified. Our aim is to evaluate the available evidence regarding possible andrological consequences of COVID-19 either on seminal or hormonal parameters. The safety of the COVID-19 vaccines in terms of sperm quality was also investigated.Entities:
Keywords: COVID-19; Hypogonadism; SARS-CoV-2; Sperm; Testosterone; Vaccination
Year: 2022 PMID: 35527294 PMCID: PMC9080963 DOI: 10.1007/s40618-022-01801-x
Source DB: PubMed Journal: J Endocrinol Invest ISSN: 0391-4097 Impact factor: 5.467
Characteristics of trials included in the meta-analysis
| Author | Study design | Study subjects (n°) | Controls (n°) | Mean age (years) | Days to dignosis | Mild disease (%) | Mean BMI (kg/m2) | Smokers (%) | HPT (%) | DM (%) | DR | Sperm outcomes | Hormonal outcomes | Vaccination outcomes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Çayan et al. 2020 [ | P | 175 | 46 | 45,8 | 50 | 24.02 | X | |||||||
| Guo et al. 2020 [ | P | 23 | 41 | 32 | 78.3 | X | ||||||||
| Holtmann et al. 2020 [ | P | 18 | 14 | 35 | 47 | 77.8 | 25,28 | 5.4 | 0 | 0 | X | X | ||
| Kayaaslan et al. 2020 [ | P | 16 | 33.5 | 2.3 | 68.7 | X | ||||||||
| Li et al. 2020* [ | P | 23 | 22 | 40.8 | 25,8 | 39.1 | X | X | ||||||
| Li et al. 2020* [ | P | 38 | 31.6 | 10.6 | 2.6 | X | ||||||||
| Ning et al. 2020 [ | R | 17 | 35 | 27 | 100 | X | ||||||||
| Pan et al. 2020 [ | P | 34 | 37 | 31 | 100 | 25 | 9 | X | ||||||
| Pavone et al. 2020 [ | P | 9 | 37.8 | 42.2 | 27.2 | 55.6 | 22.2 | X | ||||||
| Rastrelli et al. 2020 [ | P | 31 | 65 | 78 | 3.7 | 51.7 | 29.6 | X | ||||||
| Rawlings et al. 2020 [ | P | 6 | 38 | 12 | 0 | 0 | X | |||||||
| Salciccia et al. 2020 [ | P | 20 | 9 | 66.2 | 31 | 55.1 | 51.7 | 30.9 | X | |||||
| Song et al. 2020 [ | P | 13 | 33 | 29.5 | 15.4 | 0 | X | |||||||
| Yang et al. 2020 [ | R | 12 | 65 | 42 | 0 | 33.3 | X | |||||||
| Achua et al. 2021 [ | R | 6 | 56 | 11 | 0 | 50 | 33.3 | X | ||||||
| Burke et al. 2021 [ | P | 18 | 32 | 6 | 15.8 | X | ||||||||
| Camici et al. 2021 [ | P | 24 | 24 | 50.5 | 9 | 59.3 | 12.5 | 8.3 | X | |||||
| Cinislioglu et al. 2021 [ | P | 358 | 92 | 65.3 | 42.7 | 26 | 73.1 | 54 | 21.7 | X | ||||
| Dhindsa et al. 2021 [ | P | 66 | 24 | 64.5 | 26.7 | 27.58 | X | |||||||
| Gacci et al. 2021 [ | P | 38 | 49.4 | 26.64 | 81.6 | X | ||||||||
| Gonzalez et al. 2021[ | P | 45 | 37.1 | X | ||||||||||
| Kadihasanoglu et al. 2021 [ | P | 89 | 143 | 49.9 | 31.2 | X | ||||||||
| Lanser et al. 2021[ | P | 155 | 66 | 18 | 26.4 | 46.5 | 35.7 | X | ||||||
| Ma et al. 2021 [ | P | 12 | 33.2 | 78.5 | 8.3 | X | ||||||||
| Ma et al. 2021 [ | P | 119 | 273 | 39 | X | |||||||||
| Machado et al. 2021 [ | P | 15 | 23.2 | 4.2 | X | |||||||||
| Maleki et al. 2021 [ | P | 84 | 105 | 34.2 | 28.6 | 25.62 | X | |||||||
| Okçelik et al. 2021 [ | P | 23 | 19 | 35.5 | X | |||||||||
| Ruan et al. 2021 [ | P | 70 | 145 | 30.8 | 15 | 14.9 | 24.45 | 25,6 | 0 | 0 | x | X | ||
| Safrai et al. 2021 [ | R | 43 | 32.55 | X | ||||||||||
| Salonia et al. 2021 [ | P | 286 | 281 | 52 | 71.2 | 26.46 | 25.5 | X | ||||||
| Saylam et al. 2021 [ | P | 30 | 35.6 | 1 | X | |||||||||
| Sharma et al. 2021 [ | P | 11 | 29.7 | 40.9 | 81.8 | X | ||||||||
| Temiz et al. 2021 [ | P | 10 | 10 | 36.8 | 26.56 | 21,6 | 0 | 3 | x | x | X | |||
| Xu et al. 2021 [ | P | 39 | 22 | 60.7 | 51.3 | 25.74 | 41 | 15.4 | x |
P = prospective; R = retrospective; HPT = arterial hypertension; DM = diabetes mellitus; *different study; **same study, different cohort
Fig. 1Male genitalia tract mRNA SARS-Cov-2 detection rate (%)
Fig. 2Influence of age (A), disease severity (B), arterial hypertension (C), diabetes mellitus (D), and time from diagnosis (E) on male genitalia tract mRNA COVID-19 detection rate. The size of the circles indicates sample dimension
Fig. 3Semen parameters in COVID-19 subjects as compared to controls: total sperm count (A), sperm concentration (B), sperm total motility (C), semen volume (D)
Fig. 4Hormonal parameters in COVID-19 subjects as compared to controls: total testosterone (A), follicular stimulating hormone (FSH; B), luteinizing hormone (LH; C)
Fig. 5Fully adjusted risk to be admitted to Intensive Care Unit (A) or to die (B) due to COVID-19 according to low baseline T levels