Lower Urinary Tract Symptoms in a prospective cohort of COVID-19 survivors

ABSTRACT

Purpose:

To analyze the prevalence of lower urinary tract symptoms (LUTS) in patients who survived moderate and severe forms of COVID-19 and the risk factors for LUTS six months after hospitalization.

Materials and Methods:

In this prospective cohort study, patients were evaluated six months after hospitalization due to COVID-19. LUTS were assessed using the International Prostate Symptom Score. General health was assessed through the Hospital Anxiety and Depression Scale and the EQ5D-L5 scale, which evaluates mobility, ability to perform daily activities, pain and discomfort and completed a self-perception health evaluation.

Results:

Of 255 participants, 54.1% were men and the median age was 57.3 [44.3 – 66.6] years. Pre-existing comorbidities included diabetes (35.7%), hypertension (54.5%), obesity (30.2%) and physical inactivity (65.5%). One hundred and twenty-four patients (48.6%) had a hospital stay >15 days, 181 (71.0%) were admitted to an ICU and 124 (48.6%) needed mechanical ventilation.

Median IPSS was 6 [3-11] and did not differ between genders. Moderate to severe LUTS affected 108 (42.4%) patients (40.6% men and 44.4% women; p=0.610). Nocturia (58.4%) and frequency (45.9%) were the most prevalent symptoms and urgency was the only symptom that affected men (29.0%) and women (44.4%) differently (p=0.013). LUTS impacted the quality of life of 60 (23.5%) patients with women more severely affected (p=0.004). Diabetes, hypertension, and self-perception of worse general health were associated with LUTS.

Conclusions:

LUTS are highly prevalent and bothersome six months after hospitalization due to COVID-19. Assessment of LUTS may help ensure appropriate diagnosis and treatment in these patients.

Keywords:
COVID-19; Post-Acute COVID-19 Syndrome; Urinary Bladder, Overactive

INTRODUCTION

The COVID-19 pandemic has had a devastating impact on public health, resulting in millions of hospitalizations and deaths globally (¹–³). Among survivors, post-acute sequelae of SARS-CoV-2 are frequent and a major cause of concern, as it overloads health systems worldwide (⁴, ⁵). This syndrome may also be referred to as "long COVID" (⁶). Studies conducted in different countries have shown persistent multiple organ manifestations including pulmonary dysfunction, muscle weakness and fatigue, neurological and psychological disorders, cardiovascular disorders, digestive disorders and other unspecific symptoms such as hair loss, in up to 76% of COVID-19 survivors four to six months after hospital discharge (⁶–⁸).

COVID-19 can be associated with de novo lower urinary tract symptoms (LUTS), such as urgency, urinary frequency and nocturia, or it can deteriorate pre-existing LUTS during the acute phase (⁹–¹¹). However, the long-term effects of COVID-19 on LUTS have been poorly evaluated and the prevalence of LUTS in patients who recovered from COVID-19 remains unknown (¹², ¹³). In a study from Greece, a high prevalence of increased urinary frequency and urgency consistent with the diagnosis of overactive bladder has been reported in patients who were suffering with long COVID (¹⁴). The study did not evaluate the prevalence of LUTS in the population, since they only included 66 patients who reported having urinary urgency. Moreover, they did not state how long after acute COVID the patients were evaluated. In another study consisting of a small case series, persistent LUTS and urodynamic abnormalities have been shown months after acute SARS-CoV-2 infection in teenagers (¹⁵). Authors proposed that clinicians should be aware of a recent COVID-19 infection in patients with sudden onset lower urinary tract dysfunction.

The aim of this study was to analyze the prevalence of LUTS in men and women who survived moderate and severe forms of COVID-19. We hypothesized that a significant proportion of COVID-19 survivors might experience LUTS, and that the prevalence of these symptoms could be influenced by preexisting comorbidities and the severity of COVID-19. To investigate this, we utilized a large hospital-based dataset to identify a cohort during the acute phase of the disease and subsequently conducted a longitudinal follow-up of this group.

MATERIALS AND METHODS

This is a cohort study conducted at a university based, tertiary medical facility that provided care for moderate and severe cases of the COVID-19 during the acute phase of the first wave of the pandemic, i.e., prior to the onset of vaccination protocols. This cohort was constituted to facilitate multidisciplinary studies addressing long-term medical and functional outcomes among adults who survived COVID-19. Our study participants were hospitalized between March and September 2020 and were assessed for this study 6 months after hospital discharge (between September 2020 and March 2021). Details about the methodological protocol can be found elsewhere (¹⁶). The study was approved by the local ethics committee (approval number 4.270.242). Informed consent was provided by all participants.

Participants: All eligible adult subjects (≥ 18 years) who had been hospitalized in our hospital for treatment of moderate or severe COVID-19 for at least 24 hours and had laboratory-confirmed SARS-CoV-2 infection were invited to participate.

Assessment protocol: Participants underwent a one-to-two days series of multidisciplinary evaluations performed six months after hospital discharge including thorough, multi-domain questionnaires applied by medical research staff, self-report scales, objective evaluations of cardiopulmonary functioning and physical functionality.

Preexisting comorbidities: The evaluated preexisting comorbidities were diabetes mellitus, systemic arterial hypertension (SAH), obesity (body mass index >30) and physical inactivity (i.e., < 150 min/week of moderate-to-vigorous physical activity).

Parameters of COVID-19 severity: Data regarding the acute stage of SARS-CoV-2 infection were retrieved from hospital charts and databases, providing information on length of hospital stay, admission to an intensive care unit (ICU), need for invasive mechanical ventilation and need for hemodialysis.

Prevalence of LUTS six months after hospital discharge: LUTS were assessed using the International Prostate Symptom Score (IPSS) questionnaire (¹⁷). Participants were asked to rate how often they experienced individual LUTS during the past month. It was used to analyze the presence of individual lower urinary tract symptoms of frequency, incomplete emptying, intermittency, urgency, slow stream, straining to void and nocturia (≥ 2 episodes/night). We considered each symptom to be present when it occurred less than half the time or more (¹⁸, ¹⁹). LUTS were considered mild when IPSS score < 7, moderate if IPSS between 8 and 19 and severe when IPSS ≥ 20. The impact of LUTS on quality of life (QoL) was evaluated on a scale of 0 ("delighted") to 6 ("terrible"). A significantly impaired QoL was defined for patients who were mostly dissatisfied or worse.

A urinalysis was obtained at the six months evaluation and was considered normal if there were ≤ 10 leukocytes per field and ≤ 3 red blood cells per field.

General health six months after hospital discharge: To evaluate the overall health status after 6 months of hospital discharge, patients completed a series of evaluations. Mental health was assessed through the Hospital Anxiety and Depression Scale (HADS) (²⁰). Patients’ self-rated health was assessed through the EQ5D-L5 scale, which evaluates mobility, ability to perform personal care and daily activities, pain, discomfort, and anxiety/depression (²¹). Additionally, we asked patients to rate their self-perception of overall health on a Likert scale varying from very good to good, reasonable, bad or very bad. An impaired health status was considered when patients rated themselves as bad or very bad.

Statistical Analysis

Quantitative variables were expressed as medians and interquartile ranges, while qualitative variables were expressed as absolute values, percentages, or proportions. Student's t test or ANOVA were used to compare continuous variables. Categorical variables were compared using the Chi-squared or Fisher's exact test. Associations were described as Odds Ratios with respective confidence intervals. Correlations were analyzed by Pearson's correlation coefficient.

All tests were 2-sided, and a p-value < 0.05 was considered statistically significant. Analysis was performed using commercially available statistical software (GraphPad Prism, version 9.03 for Windows, San Diego California USA).

RESULTS

Of 1,987 eligible patients invited to participate in the study, 870 agreed to participate in the multidisciplinary assessment. Because the evaluation of LUTS was included when the study was ongoing for some time, the cohort of patients included for LUTS assessment included only 255. Men comprised 54.1% of study participants, and the median age of the participants was 57.3 [44.3 – 66.6] years.

Pre-existing comorbidities

Pre-existing comorbidities included diabetes mellitus (35.7%), hypertension (54.5%), obesity (30.2%) and physical inactivity (65.5%). Men and women were comparable in terms of diabetes, hypertension and physical activity habits, but obesity was more common among women (26.8% vs 34.2%; p=0.026 – Table-1).

Table 1
Demographic characteristics, preexisting comorbidities and COVID-19 severity in the study population (N=255).

		Men n=138 (%)	Women n=117 (%)	P-value
Age		59.4 [45.9-68.0]	56.1 [43.0-65.9]	0.181
Preexisting comorbidities
	Physical inactivity	91 (65.9%)	76 (65.0%)	0.785
	Diabetes Mellitus	50 (36.2%)	41 (35.0%)	0.844
	Obesity	37 (26.8%)	40 (34.2%)	0.026
	Hypertension	72 (52.2%)	67 (57.3%)	0.418
COVID-19 Severity
	Hospital stay >15 days	65 (47.1%)	60 (51.3%)	0.926
	ICU care	104 (75.4%)	77 (65.8%)	0.095
	Mechanical ventilation	73 (52.9%)	51 (43.6%)	0.166
	Dialysis	24 (17.4%)	15 (12.8%)	0.314

COVID-19 severity parameters

Of the 255 participants, 124 (48.6%) had a hospital stay >15 days, 181 (71.0%) were admitted to an ICU, 124 (48.6%) needed mechanical ventilation and 39 (15.3%) needed hemodialysis. Men and women did not differ in terms of COVID-19 severity parameters (Table-1).

Prevalence of LUTS 6 months after hospital discharge

The median IPSS score was 6 [3-11] and did not differ between men and women (7.0 [3.0-11.0] and 5.0 [2.0-11.0], respectively; p=0.371). Moderate to severe LUTS affected 108 (42.4%) patients (40.6% men and 44.4% women; p=0.610). Age was not correlated with total IPSS scores (r=0.099, p=0.109) and was similar between patients with mild vs moderate to severe LUTS (56.3 [42.8-66.5] vs 58.5 [47.2-66.75] respectively; p=0.341).

Nocturia (58.4%) and increased urinary frequency (45.9%) were the most prevalent symptoms. Urgency was the only symptom that affected men (29.0%) and women (44.4%) differently (p=0.013). Storage symptoms were more common in women (5.0 [3.0-7.0] vs 3.0 [1.0-7.0]; p=0.024), while voiding symptoms affected both genders similarly (2.0 [0-4.0] vs 1 [0-4.8]; p=0.641) (Table-2).

Table 2
Prevalence of LUTS six months after COVID-19.

LUTS*		Men n=138	Women n=117	p-value
IPSS score		7.0 [3.0-11.0]	5.0 [2.0-11.0]	0.371
IPSS ≥ 8**		40.6%	44.4%	0.610
QoL score***		2.0 [0.0-3.0]	3.0[2.0-4.0]	0.004
Voiding symptoms****		1.0 [0.0-4.8]	2.0 [0.0-4.0]	0.641
Storage symptoms*****		3.0 [1.0-7.0]	5.0 [3.0-7.0]	0.024
Individual LUTS
	Frequency	39.1	53.8	0.073
	Urgency	29.0	44.4	0.013
	Nocturia (≥ 2)	58.7	58.1	0.379
	Intermittency	21.7	22.2	0.509
	Slow stream	25.4	22.5	0.212
	Straining	39.1	12.8	0.308
	Incomplete emptying	31.2	38.5	0.311

• ^*
  Lower urinary tract symptoms;
• ^**
  moderate to severe LUTS;
• ^***
  Impact of LUTS on quality of life evaluated on a scale from 0 ("delighted") to 6 ("terrible");
• ^****
  Straining, intermittency, slow stream and incomplete emptying;
• ^*****
  Frequency, urgency, nocturia.

LUTS significantly impacted the QoL of 60 (23.5%) patients. Women were more severely affected with a median QoL score of 3 [2-4] vs 2 [0-3] (p=0.004) (Table-2).

Urinalysis obtained from 229 (89.8%) participants at the six-month evaluation was normal in 193 (84.3%) patients while 27 (11.8%) had leukocyturia, 13 (5.7%) had hematuria and 4 (1.7%) had both. The severity of LUTS did not differ between patients with normal and abnormal urinalysis (p=0.526).

General health six months after hospital discharge

According to the HADS score, the mean anxiety subscore was 5.64±4.83 with worse scores among women (7.70±5.05 vs 3.85±3.82; p<0.001). Sixteen (11.6%) men and 44 (37.6%) women had a HADS anxiety subscore ≥ 8, which is consistent with possible anxiety disorder. The mean depression subscore was 4.56 ±4.41 and women had higher scores (5.71±4.57 vs 3.55±4.01; p<0.001). Seventeen (12.3%) men and 33 (28.2%) women had a HADS depression subscore ≥ 8, which is consistent with depression.

Based on the EQ-5D questionnaire, 27 (19.6%) men and 36 (30.8%) women reported moderate to severe difficulty to walk, 13 men (9.4%) and 14 women (12.0%) reported moderate to severe difficulty to wash and dress themselves and 22 men (15.9%) and 35 women (29.9%) reported moderate to severe problems to do their usual activities. Forty-four men (31.9%) and 64 women (54.7%) had moderate to strong pain or discomfort. Twenty-seven men (19.6%) and 61 women (52.1%) considered themselves to be moderately to extremely anxious or depressed.

On the Likert scale, 29 (11.4%) patients considered their health as bad or very bad, including 17 (14.5%) women and 11 (8.0%) men (p=0.073).

Association of LUTS, comorbidities, COVID severity, general health and anxiety/depression

Moderate to severe LUTS were more prevalent among individuals with preexisting diabetes (p=0.025) and SAH (p<0.001). No associations were found between LUTS and parameters of COVID-19 severity. Among the parameters of general health 6 months after hospital discharge only impaired overall health was associated with LUTS (p=0.026) (Table-3).

Table 3
Association of LUTS severity with preexisting comorbidities, COVID severity and general health parameters six months after hospital discharge.

LUTS		IPSS≥ 8	IPSS≤ 7	P-value	OR
Preexisting comorbidities
	Diabetes mellitus	47 (43.5%)	44(29.9%)	0.025	1.80 [1.07-3.03]
	Systemic arterial hypertension	72 (66.7%)	67 (45.6%)	0.001	2.38 [1.43-3.99]
	BMI*	30.2 [27.4-35.6]	31.7 [28.0-38.1]	0.101	NA**
	Physical inactivity	73 (67.6%)	94 (64.0%)	0.702	0.90 [0,53-1.53]
COVID severity
	Length of hospital stay	15 [8-30.5]	15[7-31]	0.855	0.74 [0.41-1.36]
	Admission to ICU	71 (65.7%)	110 (74.8%)	0.115	0,645 [0.37-1.11]
	Invasive mechanical ventilation	48 (44.4%)	71 (48,3%)	0.505	0.84 [0.51-1.39]
	Hemodialysis	14 (13%)	25 (17%)	0.376	0.72 [0.36-1.47]
General health 6 months after COVID
	HAS anxiety score	4.0 [2.0-9.3]	5.0 [2.0-9.0]	0.591	NA**
	HAS depression score	3.0 [1.0-8.0]	3.0 [1.0-7.0]	0.738	NA**
	Impaired health***	18 (16.7%)	11 (7.5%)	0.026	2.47 [1.12-5.48]

• ^*
  Body mass index;
• ^**
  Non applicable;
• ^***
  Self rating as "bad" or "very bad" on the Likert scale

DISCUSSION

To our knowledge, this is the first prospective cohort study of hospitalized COVID-19 survivors to date that has focused on the assessment of LUTS. We showed a high prevalence of LUTS in this population, with 42.4% reporting moderate to severe LUTS. Storage symptoms were more common in women, while voiding symptoms affected both genders similarly. LUTS significantly impacted the QoL of 23.5% of the patients and women were more severely affected. Age was not correlated with symptom scores and was similar between patients with mild vs moderate to severe LUTS. Preexisting diabetes, hypertension and having an impaired overall health six months after COVID were associated with higher rates of moderate to severe LUTS. No associations were found between LUTS and parameters of COVID-19 severity.

Long COVID may include an array of symptoms and diseases, but LUTS have not been included as part of the symptom profile of long COVID. Our results showing that 42.4% of the patients had moderate to severe LUTS seem to highlight the relevance of LUTS in this population. We used the IPSS to evaluate LUTS. It is a widely used tool to assess LUTS, which has commonly been used in epidemiological studies with mixed-gender populations (¹⁹, ²²). Unfortunately, we do not have information on preexisting LUTS from our population. By the time the patients in our cohort were hospitalized with an acute, life-threatening disease, the existence of Long-COVID was not yet recognized. This is which explains why most studies evaluating various aspects of Long COVID do not have baseline symptoms.

The prevalence of moderate-to-severe LUTS in Brazil has been reported in 20.8% of men and 23.9% of women, which is roughly half the rates observed in our population of long COVID subjects with similar age distribution (¹⁸). In other populational studies from different countries the prevalence of moderate to severe LUTS is typically less than 25% considering the age distribution of our patients (²³–²⁵). We showed a predominance of storage symptoms in patients with long COVID, which is consistent with studies reporting on LUTS in the acute phase of COVID-19 (⁹, ¹¹, ²²) and also with the study from Zachariou et al., who found a high prevalence of overactive bladder among patients who had been hospitalized due to COVID-19 (¹⁴). Interestingly, we found minor differences between men and women and no impact of age in the prevalence of LUTS. This negative finding might be explained by our patient sample, which was relatively small. Second, critical illness due to multiorgan disease including psychiatric (depression and anxiety), fatigue, neuromuscular and pulmonary symptoms might attenuate the effect of aging (²⁶).

It is known that acute COVID-19 infection can cause LUTS, although the mechanism is not understood. A systematic review found that SARS-CoV-2 can possibly damage the prostate and worsen LUTS due to BPH (¹²). The proposed mechanism is that SARS-CoV-2 binds to angiotensin converting enzyme 2 (ACE2) receptors causing downregulation of ACE2, which might trigger inflammation and progression of BPH. Another possible mechanism of LUTS is due to neurological disorders, including peripheral nervous system involvement (¹³). In long COVID, LUTS are probably multifactorial and associated with the increased comorbidity profile of the patients. There is no evidence that SARS-CoV-2 may have a direct effect in the lower urinary tract leading to long term LUTS. However, several risk factors or complications of long COVID could contribute to LUTS including age, obesity, diabetes and metabolic disorders, cardiovascular and lung diseases, neurological conditions, anxiety, depression and sleep disorders (²⁷–³⁰). In our study, diabetes and hypertension were risk factors for LUTS as well as having an impaired overall health six months after hospital discharge. Parameters of COVID severity such as need for ICU or mechanical ventilation were not associated with the prevalence of LUTS.

The impact of LUTS in our population was significant, with 23.5% reporting that they were mostly dissatisfied or worse with LUTS. It is well known that LUTS may have a significant impact on patients’ QoL causing physical discomfort, emotional distress, and disruptions in daily activities (²⁷, ³¹). Combined with the lingering effects of long COVID, LUTS may further exacerbate the challenges faced by individuals in their recovery process (²⁹, ³²). Moreover, LUTS can impact mental well-being and exacerbate anxiety or depression symptoms (²⁷). Finally, LUTS, such as urgency and frequency, can cause functional limitations by affecting mobility and social activities (²⁶). These findings highlight the importance of healthcare providers being aware of the potential association between long COVID and LUTS.

The COVID-19 landscape is continually changing across the World. In the past three years, we have witnessed the rise and spread of multiple variants, while vaccination programs advanced in multiple countries. All of the subjects included in this study had COVID between March and August 2020, when vaccines weren't yet available and the B.1.1.28 and B.1.1.33 lineages were the most prevalent in Brazil. Future studies should evaluate differences among the variants of the SARS-CoV-2 as well as the effect of vaccination.

Our study has several limitations. First, we cannot extrapolate our findings to other countries or communities, since conditions may vary in terms of SARS-CoV-2 variant, vaccination status and overall epidemiology. Also, our study sample is relatively small, and we had no control group for comparisons. Furthermore, relying solely on the IPSS for LUTS evaluation may not yield a comprehensive assessment due to its limited scope in capturing the full spectrum of urinary symptoms. Another shortcoming is the fact that we do not have data regarding patients’ previous LUTS.

We believe our findings have significant implications for clinical practice, informing urologists and other health care professionals involved in the management of patients with LUTS that a history of moderate or severe COVID-19 requiring hospitalization may increase the risk of LUTS. Second, our findings should be important to healthcare professionals treating patients with long COVID since LUTS may have a significant impact on patients’ QoL and is certainly a neglected aspect of their health. Thus, our results should encourage the development of multidisciplinary approaches to manage long COVID recovery.

CONCLUSIONS

We present for the first time that LUTS are highly prevalent and often bothersome six months after hospitalization due to COVID-19, with over 40% of the patients experiencing moderate to severe LUTS. Future studies should clarify the role of different virus variants and vaccination on the prevalence of long COVID and LUTS. Comprehensive assessment of LUTS and their effects may help ensure appropriate diagnosis and treatment in these patients.

ACKNOWLEDGEMENTS

Fundação Faculdade de Medicina and Fundação de Amparo a Pesquisa do Estado de São Paulo – FAPESP 2022/01769-5.

HC COMVIDA crowdfunding scheme (https://viralcure.org/c/hc)

REFERENCES

• ¹
  Msemburi W, Karlinsky A, Knutson V, Aleshin-Guendel S, Chatterji S, Wakefield J. The WHO estimates of excess mortality associated with the COVID-19 pandemic. Nature. 2023;613:130-7.
• ²
  Andrade GM, Sesconetto L, da Silva RBR, Dos Santos GGR, Kayano PP, Baccaglini W, Bezerra MB, Bianco B, Lemos GC, Carneiro A. Impact of COVID-19 pandemic on prostate cancer outcomes at an uro-oncology referral center. Int Braz J Urol. 2023;49:233-42.
• ³
  Korkes F, Smaidi K, Timoteo F, Glina S. Recommendations for prostate cancer diagnosis and treatment during COVID-19 outbreak were not followed in Brazil. Int Braz J Urol. 2022;48:712-8.
• ⁴
  Huang C, Huang L, Wang Y, Li X, Ren L, Gu X, et l. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021;397:220-32.
• ⁵
  Carfì A, Bernabei R, Landi F; Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent Symptoms in Patients After Acute COVID-19. JAMA. 2020 Aug 11;324:603-605.
• ⁶
  Centers for Disease Control and Prevention. Long COVID or Post- COVID Conditions. 2022. https://www.cdc.gov/coronavirus/2019-nCoV/
  » https://www.cdc.gov/coronavirus/2019-nCoV/
• ⁷
  Writing Committee for the COMEBAC Study Group; Morin L, Savale L, Pham T, Colle R, Figueiredo S, Harrois A, Gasnier M, et al. Four-Month Clinical Status of a Cohort of Patients After Hospitalization for COVID-19. JAMA. 2021;325:1525-34.
• ⁸
  Damiano RF, Caruso MJG, Cincoto AV, de Almeida Rocca CC, de Pádua Serafim A, et al. Post-COVID-19 psychiatric and cognitive morbidity: Preliminary findings from a Brazilian cohort study. Gen Hosp Psychiatry. 2022;75:38-45.
• ⁹
  Lamb LE, Dhar N, Timar R, Wills M, Dhar S, Chancellor MB. COVID-19 inflammation results in urine cytokine elevation and causes COVID-19 associated cystitis (CAC). Med Hypotheses. 2020;145:110375.
• ¹⁰
  Mumm JN, Osterman A, Ruzicka M, Stihl C, Vilsmaier T, Munker D, et al. Urinary Frequency as a Possibly Overlooked Symptom in COVID-19 Patients: Does SARS-CoV-2 Cause Viral Cystitis? Eur Urol. 2020;78:624-8.
• ¹¹
  Creta M, Sagnelli C, Celentano G, Napolitano L, La Rocca R, Capece M, et al. SARS-CoV-2 infection affects the lower urinary tract and male genital system: A systematic review. J Med Virol. 2021;93:3133-42.
• ¹²
  Haghpanah A, Masjedi F, Salehipour M, Hosseinpour A, Roozbeh J, Dehghani A. Is COVID-19 a risk factor for progression of benign prostatic hyperplasia and exacerbation of its related symptoms?: a systematic review. Prostate Cancer Prostatic Dis. 2022;25:27-38.
• ¹³
  Manganotti P, Michelutti M, Furlanis G, Deodato M, Buoite Stella A. Deficient GABABergic and glutamatergic excitability in the motor cortex of patients with long-COVID and cognitive impairment. Clin Neurophysiol. 2023 Jul;151:83-91.
• ¹⁴
  Zachariou A, Sapouna V, Kaltsas A, Dimitriadis F, Douvli E, Champilomatis I, et al. Evaluation of Overactive Bladder Symptoms in Patients Recovering from Post-Acute COVID-19 Syndrome. J Multidiscip Healthc. 2022;15:2447-52.
• ¹⁵
  Selvi I, Dönmez Mİ, Ziylan O, Oktar T. Urodynamically proven lower urinary tract dysfunction in children after COVID-19: A case series. Low Urin Tract Symptoms. 2022;14:301-4.
• ¹⁶
  Busatto GF, de Araújo AL, Duarte AJDS, Levin AS, Guedes BF, Kallas EG, et al. Post-acute sequelae of SARS-CoV-2 infection (PASC): a protocol for a multidisciplinary prospective observational evaluation of a cohort of patients surviving hospitalisation in Sao Paulo, Brazil. BMJ Open. 2021;11:e051706.
• ¹⁷
  Barry MJ, Fowler FJ Jr, O'Leary MP, Bruskewitz RC, Holtgrewe HL, Mebust WK, et al. The American Urological Association symptom index for benign prostatic hyperplasia. The Measurement Committee of the American Urological Association. J Urol. 1992;148:1549-57; discussion 1564.
• ¹⁸
  Soler R, Gomes CM, Averbeck MA, Koyama M. The prevalence of lower urinary tract symptoms (LUTS) in Brazil: Results from the epidemiology of LUTS (Brazil LUTS) study. Neurourol Urodyn. 2018;37:1356-64.
• ¹⁹
  Coyne KS, Sexton CC, Thompson CL, Milsom I, Irwin D, Kopp ZS, et al. The prevalence of lower urinary tract symptoms (LUTS) in the USA, the UK and Sweden: results from the Epidemiology of LUTS (EpiLUTS) study. BJU Int. 2009;104:352-60.
• ²⁰
  Snaith RP. The Hospital Anxiety And Depression Scale. Health Qual Life Outcomes. 2003;1:29.
• ²¹
  Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20:1727-36.
• ²²
  Daryanto B, Janardhana A, Purnomo AF. The Effect of Covid-19 Severity on Lower Urinary Tract Symptoms Manifestations. Med Arch. 2022;76:127-30.
• ²³
  Plata M, Bravo-Balado A, Robledo D, Trujillo CG, Caicedo JI, Cataño JG, et al. Prevalence of lower urinary tract symptoms and overactive bladder in men and women over 18 years old: The Colombian overactive bladder and lower urinary tract symptoms (COBaLT) study. Neurourol Urodyn. 2019;38:200-7.
• ²⁴
  Andersson SO, Rashidkhani B, Karlberg L, Wolk A, Johansson JE. Prevalence of lower urinary tract symptoms in men aged 45-79 years: a population-based study of 40 000 Swedish men. BJU Int. 2004;94:327-31.
• ²⁵
  Irwin DE, Milsom I, Kopp Z, Abrams P, Artibani W, Herschorn S. Prevalence, severity, and symptom bother of lower urinary tract symptoms among men in the EPIC study: impact of overactive bladder. Eur Urol. 2009;56:14-20.
• ²⁶
  Legrand M, Fong N, Laouénan C, Ghosn J, Thill B, Faure K, et al. Risk factors of long term symptoms and outcomes among patients discharged after covid-19: prospective, multicentre observational study. BMJ Med. 2022;1:e000093.
• ²⁷
  Coyne KS, Wein AJ, Tubaro A, Sexton CC, Thompson CL, Kopp ZS, et al. The burden of lower urinary tract symptoms: evaluating the effect of LUTS on health-related quality of life, anxiety and depression: EpiLUTS. BJU Int. 2009;103 (Suppl 3):4-11.
• ²⁸
  Gomes CM, Averbeck MA, Koyama M, Soler R. Impact of OAB symptoms on work, quality of life and treatment-seeking behavior in Brazil. Curr Med Res Opin. 2020;36:1403-15.
• ²⁹
  Subramanian A, Nirantharakumar K, Hughes S, Myles P, Williams T, Gokhale KM, et al. Symptoms and risk factors for long COVID in non-hospitalized adults. Nat Med. 2022;28:1706-14.
• ³⁰
  Tristão LS, Bresler R, Modesto VA, Fernandes RC, Bernardo WM. Urological complications of COVID-19: a systematic review. Int Braz J Urol. 2023;49:24-40.
• ³¹
  Coyne KS, Sexton CC, Kopp ZS, Ebel-Bitoun C, Milsom I, Chapple C. The impact of overactive bladder on mental health, work productivity and health-related quality of life in the UK and Sweden: results from EpiLUTS. BJU Int. 2011;108:1459-71.
• ³²
  Pérez CA, Michelutti LBC, Palharini MV, Teixeira LP, Silva VR, Teixeira LEPP, et al. Interaction between the impact of the Coronavirus disease 2019 pandemic and demographic characteristics on sexual/erectile dysfunction in Latin America: cross-sectional study. Int Braz J Urol. 2022;48:512-47.

Publication Dates

• Publication in this collection
  27 May 2024
• Date of issue
  May-Jun 2024

History

• Received
  10 Nov 2023
• Accepted
  07 Feb 2024
• Published
  10 Mar 2024