| Literature DB >> 32475747 |
Jan-Niclas Mumm1, Andreas Osterman2, Michael Ruzicka3, Clemens Stihl4, Theresa Vilsmaier5, Dieter Munker6, Elham Khatamzas3, Clemens Giessen-Jung3, Christian Stief7, Michael Staehler7, Severin Rodler7.
Abstract
The current coronavirus disease 2019 (COVID-19) pandemic is a challenge for physicians in triaging patients in emergency rooms. We found a potentially dangerous overlap of classical urinary symptoms and the as yet not fully described symptoms of COVID-19. After a patient was primarily triaged as a urosepsis case and then subsequently diagnosed with COVID-19, we focused on an increase in urinary frequency as a symptom of COVID-19 and identified this in seven males out of 57 patients currently being treated in our COVID-19 wards. In the absence of any other causes, urinary frequency may be secondary to viral cystitis due to underlying COVID-19 disease. We propose consideration of urinary frequency as an anamnestic tool in patients with infective symptoms to increase awareness among urologists during the current COVID-19 pandemic to prevent fatal implications of misinterpreting urological symptoms.Entities:
Keywords: COVID-19; Triage; Urinary frequency; Urinary infection; Viral cystitis
Mesh:
Year: 2020 PMID: 32475747 PMCID: PMC7236674 DOI: 10.1016/j.eururo.2020.05.013
Source DB: PubMed Journal: Eur Urol ISSN: 0302-2838 Impact factor: 20.096
Patient characteristics.
| Parameter | Result |
|---|---|
| Median age, yr (range) | 62 (59–78) |
| Median MuLBSTA score (range) | 9 (6–15) |
| Male, | 7 (100) |
| Chronic underlying condition, | |
| Hypertension | 5 (71.4) |
| Cardiac disease | 2 (28.6) |
| Obesity | 2 (28.6) |
| Diabetes | 2 (28.6) |
| Cancer | 2 (28.6) |
| Renal disease | 1 (14.3) |
| Benign prostatic hyperplasia | 1 (14.3) |
The MuLBSTA score is used to predict 90-d mortality in viral pneumonia [10].
Symptoms on admission.
| Symptom | Patients, |
|---|---|
| Increased urinary frequency | 7 (100) |
| Dry cough | 5 (71.4) |
| Fever | 3 (42.9) |
| Shortness of breath | 3 (42.9) |
| Diarrhea | 1 (14.3) |
| Shivering | 1 (14.3) |
Fig. 1Lung imaging for all the patients. Computed tomography lung imaging was performed for all patients on admission (±5 d). All patients showed signs of viral pneumonia, as evidenced from the images. (A,B) Images for patient 1 in the coronal and axial planes. (C–H) Images for patients 2–7, respectively, in the coronal plane. Predominantly bilateral ground glass opacification and typical COVID19-associated crazy paving areas are evident (C,F,H).
COVID19 = coronavirus disease 2019.
Pulmonary imaging and virological and laboratory results.
| Test | Result |
|---|---|
| Atypical pneumonia on computed tomography, | 7/7 (100) |
| SARS-CoV-2 RNA nasopharyngeal swab, | 7/7 (100) |
| SARS-CoV-2 RNA in serum, | 0/3 (0) |
| SARS-CoV-2 RNA in serum, | 2/4 (50) |
| SARS-CoV-2 RNA in urine, | 0/6 (0) |
| Mean prostate volume, ml (range) | 53 (35–66) |
| Mean residual urine, ml (range) | 14.3 (0–40) |
| Mean urine osmolarity, mosm/kg (range) | 547.6 (383–702) |
| Mean prostate-specific antigen, ng/mL (range) | 1.47 (0.3–3.6) |
| Mean creatinine, mg/dl (range) | 0.92 (0.7–1.4) |
| Mean creatinine, mg/dl (range) | 0.87 (0.6–1.6) |
| Mean maximum IL-6, pg/mL (range) | 215 (26.3–1086) |
| Mean procalcitonin, ng/mL (range) | 0.1 (>0.1–0.4) |
| Mean lactate dehydrogenase, U/l (range) | 334 (223–565) |
| Mean leukocytes, g/l (range) | 5.9 (2.8–9.7) |
| Mean neutrophils, % (range) | 64 (41–92) |
| Mean lymphocytes, % (range) | 18 (6–30) |
| Mean eosinophils, % (range) | 0.7 (<1–2) |
Day 0–5.
Day 5–10.
Standard urinary analysis.
| Patients, | |
|---|---|
| Urinary infection | 0/7 (0) |
| Urine dipstick | |
| Negative for leukocytes | 7/7 (100) |
| Urine sediment | |
| Negative for leukocytes | 2/4 (50) |
| 1–3 leukocytes per high-power field | 2/4 (50) |
| Microhematuria | 3/4 (75) |
| Urine cultures negative | 6/6 (100) |
Urine culture was not performed for one patient for whom the urine dipstick and urine sediment were negative for leukocytes.
Fig. 2Potential mode of action. ACE2 has been described as the receptor for SARS-CoV-2, so urothelial cells might be affected in COVID-19 patients [6]. As localization of expression is unclear so far, basal or luminal expression is possible, so two possible infection routes could be hypothesized: (1) infection via capillaries is possible, especially in the light of viraemia an infection route of interest; (2) infection via urine might be possible, as SARS-CoV-2 has been detected in urine elsewhere [7]. (3) Alternatively, cystitis might be secondary due to local inflammation (eg, endotheliitis) [4].
ACE2 = angiotensin-converting enzyme 2; COVID19 = coronavirus disease 2019; SARS-CoV-2; severe acute respiratory syndrome coronavirus 2.