Detection of the SARS‐CoV‐2 in different biologic specimens from positive patients with COVID‐19, in Northern Italy

Novazzi, Federica; Cassaniti, Irene; Piralla, Antonio; Sabatino, Antonio Di; Bruno, Raffaele; Baldanti, Fausto; Mondelli, Mario U.; Brunetti, Enrico; Matteo, Angela Di; Seminari, Elena; Maiocchi, Laura; Zuccaro, Valentina; Pagnucco, Layla; Ludovisi, Serena; Lissandrin, Raffaella; Parisi, Antonio; Sacchi, Paolo; Patruno, Sfa; Michelone, G; Gulminetti, Roberto; Zanaboni, Domenico; Novati, Stefano; Orsolini, P; Vecchia, Marco; Sciarra, Marco; Asperges, Erika; Colaneri, Marta; Filippo, Alessandro Di; Sambo, Margherita; Biscarini, Simona; Lupi, M.; Roda, Silvia; Pieri, TC; Gallazzi, Ilaria; Sachs, Michele; Valsecchi, Pietro; Perlini, Stefano; Alfano, C; Bonzano, Marco; Briganti, Federica; Crescenzi, Giuseppe; Falchi, AG; Guarnone, Roberta; Guglielmana, Barbara Katia; Maggi, E.; Martino, Ilaria Francesca; Pettenazza, Pietro; Marco, S Pioli di; Quaglia, Francesca Maria; Sabena, Anna; Salinaro, Francesco; Speciale, F; Zunino, Ilaria; Lorenzo, M De; Secco, Gioel Gabrio; Dimitry, L; Cappa, Giovanni; Maisak, I; Chiodi, B; Sciarrini, M.; Barcella, Bruno; Resta, F.; Moroni, Luca; Vezzoni, Giulia; Scattaglia, Lorenzo; Boscolo, E; Zattera, Caterina; Tassi, MF; Capozza, V; Vignaroli, Damiano; Bazzini, Marco; Iotti, Giorgio; Mojoli, Francesco; Belliato, Mirko; Perotti, Luciano; Mongodi, Silvia; Tavazzi, Guido; Marseglia, Gian Luigi; Licari, Amelia; Brambilla, Ilaria; Barbarini, Daniela; Bruno, Antonino; Cambieri, Patrizia; Campanini, Giulia; Cavanna, C.; Comolli, Giuditta; Corbella, Marta; Daturi, R.; Furione, Milena; Mariani, B; Marone, P.; Maserati, Renato; Monzillo, E; Paolucci, Stefania; Parea, M.; Percivalle, Elena; Rovida, Francesca; Sarasini, Antonella; Zavattoni, Maurizio; Adzasehoun, G; Ardizzone, Marco Vittorio Rossi; Bellotti, Laura; Brunco, V; Cabano, E; Casali, Gianluca; Capella, L; Devitis, D; Dossena, Luca; Frisco, G; Garbagnoli, G; Gardellini, F; Girello, Alessia; Guerrizio, A; Landini, V.; Lucchelli, C; Maliardi, V; Piemontese, Pasqua; Pezzaia, S; Prémoli, María Sol; Rebuffa, C; Zanello, C; Bagnarino, Jessica; Bergami, Federica; Bonetti, Antonella; Caneva, G; Corcione, Antonio; Martino, Raffaella Di; Napoli, Anna; Ferrari, Guglielmo; Fiorina, L; Gallone, Anna; Giardina, Federica; Girardi, Adriana C. C.; Mercato, A; Ratano, G; Rossi, Barbara; Saveriaempillai, G; Sciabica, IM; Tallarita, Monica; Nepita, Edoardo Vecchio; Vitali, Julian; Cerino, Antonella; Varchetta, Stefania; Oliviero, Barbara; Mantovani, Stefania; Mele, Dalila; Calvi, M.; Tizzoni, Michele; Nicora, Carlo; Triarico, Antonio; Petronella, Vincenzo; Marena, Carlo; Muzzi, A; Lago, Paolo; Cutti, Sara; Novelli, Viola; Comandatore, Francesco; Biffignandi, Gherard Batisti; Gaiarsa, Stefano; Rettani, Marco; Bandi, Claudio; Ferrari, Anna

doi:10.1111/pai.13366

Cited by 5 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The accumulation of the first cases in those who came into contact with the Wuhan South China Seafood City Market in the south of Wuhan suggested that the causative agent was a zoonotic coronavirus [6]. However, soon the reporting of imported cases and the increase in the epidemic rate [7] were shown as evidence of human-to-human transmission [8], and it was understood that this transmission occurred [6][7][8][9][10] by droplet route, contact with the surfaces of the secretions of infected individuals, and possible faecal-oral transmission [9,10]. Given this information, being able to diagnose sick individuals early plays a crucial role in bringing the disease under control by breaking the chain of contact [11].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Clinical Characteristics and Chest CT Findings of COVID-19 Prediagnosed Patients Admitted to the Emergency Department: A Retrospective Study

Muratoğlu¹,

Ozek²,

Kaptan³

et al. 2021

CRCT

View full text Add to dashboard Cite

Introduction: This study aimed to define the clinical features and laboratory findings that may be associated with COVID-19 pneumonia in patients with suspected COVID-19 pneumonia who presented to the emergency department in order to be able to recognize the disease early until molecular tests are available, and thus to isolate sick people as soon as possible. Patients and Methods: We retrospectively examined patients who were evaluated with the suspicion of COVID-19 between March 2020 and August 2020. We used the patient information management system to record patient demographic and clinical features, laboratory findings, and CT results. In subgroups with and without pneumonia, we compared these characteristics in confirmed COVID-19 patients. Results: Our study included 1,277 patients who were evaluated for suspected COVID-19. COVID-19 pneumonia was detected in 71.2% (n=210) of a total of 295 (23.4%) patients with a diagnosis of COVID-19 who were confirmed by RT-PCR positivity. Although 56.2% (n=18) of those with pneumonia were men, no statistically significant relationship was detected between gender distribution and CT findings (p=0.449). When we compared the patients in 3 subgroups according to age groups, it was observed that 59.4% (n=38) of those with negative CT findings were in the 18-44 age group, and 44.8% (n=94) of those with positive CT findings were 65 and over age group, and this distribution was found to be statistically significant (p<0.001). Pneumonia was detected in 58.3% (n=49) of COVID-19 cases (n=84) with a suspected exposure history (p=0.008). The most common symptoms in patients with positive CT findings (n=210) were fever (40.5% n=85) and fatigue (40.5% n=85), cough (32.9% n=69), and shortness of breath (28.6% n=60). The most common comorbidity in cases diagnosed with COVID-19 was HT (33.9%; n=100/295), followed by AF (19.3%; n=57/295), and the rates of HT and AF in those with COVID-19 pneumonia were statistically significantly higher compared to the CT-negative group (p<0.001 and p=0.002, respectively).COVID-19 pneumonia was more common in hospitalized patients (n=124), and hospitalization lengths were longer in both emergency and ICU admissions (p<0.001 and p=0.008). In our analysis in terms of the survival relationship, it was observed that 87.5% (n=35) of the COVID-19 cases who died had pneumonia (p<0.042). Low saturation and high respiratory rate per minute at the time of admission were associated with COVID-19 pneumonia (p<0.001). In the group with COVID-19 pneumonia, haemoglobin, GFR, and pCO2 values were recorded lower at the time of admission compared to patients with negative CT (p<0.001, p<0.001, p<0.05, respectively), while leukocytes, neutrophils, CRP, D-dimer, LDH, hs-troponin, AST and bilirubin were recorded as higher (p<0.05, p<0.01, p<0.001, p<0.001, p<0.001, p<0.001, p=0.01, p=0.01, respectively). Conclusion: Identifying patient features linked with COVID-19 pneumonia at the time of admission may influence our decision to have CT scans in emergency departments, regardless of the RT-PCR result, and may result in early disease identification and treatment.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessment of Clinical Characteristics and Chest CT Findings of COVID-19 Prediagnosed Patients Admitted to the Emergency Department: A Retrospective Study

Muratoğlu¹,

Ozek²,

Kaptan³

et al. 2021

CRCT

View full text Add to dashboard Cite

show abstract

Comparison of nasopharyngeal swab and nasopharyngeal aspiration in adults for SARS‐CoV‐2 identification using reverse transcription‐polymerase chain reaction

Ünsaler

Okan

Tekin

et al. 2021

Journal of Medical Virology

View full text Add to dashboard Cite

We aimed to compare reverse transcription‐polymerase chain reaction (RT‐PCR) results of nasopharyngeal aspiration (NA) and nasopharyngeal swab (NS) samples in the diagnosis of coronavirus disease 2019. NS was obtained with a dacron swab and NA was performed by aspiration cannula. The sampling was performed by an otolaryngologist to ensure standardized correct sampling from the nasopharynx. RT‐PCR was performed for the detection of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). The level of agreement between the result of NA and NS samples for each patient was analyzed. The Ct values were compared. Thirty‐three patients were enrolled in the study with a mean age of 56.3 years. Thirteen subjects resulted negative with both NS and NA; 20 subjects resulted positive with NA and 18 subjects resulted positive with NS. The mean values of Ct for NA samples and NS samples were 24.6 ± 5.9 and 24 ± 6.7, respectively. There was no statistical difference between Ct values of NA and NS samples ( p = 0.48). RT‐PCR for SARS‐Cov2 performed with NA sample and NS sample showed a strong correlation regarding the positivity/negativity and the Ct values.

show abstract

SARS-CoV-2 shedding sources in wastewater and implications for wastewater-based epidemiology

Kulandaivelu²,

Guo

et al. 2022

Journal of Hazardous Materials

View full text Add to dashboard Cite

Detection of the SARS‐CoV‐2 in different biologic specimens from positive patients with COVID‐19, in Northern Italy

Cited by 5 publications

References 9 publications

Assessment of Clinical Characteristics and Chest CT Findings of COVID-19 Prediagnosed Patients Admitted to the Emergency Department: A Retrospective Study

Assessment of Clinical Characteristics and Chest CT Findings of COVID-19 Prediagnosed Patients Admitted to the Emergency Department: A Retrospective Study

Comparison of nasopharyngeal swab and nasopharyngeal aspiration in adults for SARS‐CoV‐2 identification using reverse transcription‐polymerase chain reaction

SARS-CoV-2 shedding sources in wastewater and implications for wastewater-based epidemiology

Contact Info

Product

Resources

About