BackgroundEarly identification of different COVID-19 clinical presentations may depict distinct pathophysiological mechanisms and guide management strategies.ObjectiveTo determine the aggressiveness of SARS-CoV-2 using symptom progression in COVID-19 patients.DesignHistoric cohort study of Mexican patients.Data from January-April 2020 were provided by the Health Ministry.
SettingPopulation-based.Patients registered in the Epidemiologic Surveillance System in Mexico.ParticipantsSubjects who sought medical attention for clinical suspicion of The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Cats (Felis catus): A Validation Study COVID-19.All patients were subjected to RT-PCR testing for SARS-CoV-2.
MeasurementsWe measured the Period between initial symptoms and clinical progression to COVID-19 suspicion (PISYCS) and compared it to the primary outcomes (mortality and pneumonia).Results65,500 patients were included.Reported fatalities and pneumonia were 2176 (3.32%), and 11568 (17.
66%), respectively.According to the PISYCS, patients were distributed as follows: 14.89% in 7 days.The distribution for mortality and pneumonia was 5.
2% and 22.5% in 7 days, respectively (p7 days = 1.67 [1.44-1.
94], p7 days = 1.57 [1.46-1.69], pLimitationsUsing a database fed by large numbers of people carries the risk of data inaccuracy.
However, this imprecision is expected to be random and data are consistent with previous studies.ConclusionThe PISYCS shows a U-shaped SARS-CoV-2 aggressiveness pattern.Further studies are needed to corroborate the Construction of multi-modal social media dataset for fake news detection time-related pathophysiology behind these findings.