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1.
medrxiv; 2022.
Preprint em Inglês | medRxiv | ID: ppzbmed-10.1101.2022.12.14.22283379

RESUMO

Background This study aimed to examine the differences in epidemiologic and disease aspects among patients with COVID 19 Methods: We reviewed the hospital records between April 2020 and September 2021 and followed up on the patients for post COVID complications. Findings: Older adult patients were predominantly affected during the first and second waves, followed by middle-aged patients. Men were predominantly admitted, considering the three waves; although more women were admitted in the second wave. Cough was more common in the second and third waves than in the first wave 522 (59.7%). Respiratory distress was the most common in the third wave, 251(67.1%), and least common in the first wave 403 (46.1%). Anosmia was more common in the third wave 116 (31.2%). In the third wave, patients presenting in a critical state 23 (6.2%) and severe disease 152 (40.8%) were more common. The hospital admission median (IQR) was longer in the first wave, 12 (8-20), than in other waves. More patients were admitted in the first wave (52%) than in the other waves, and patients received more oxygen in the third wave (75%) than in the other waves. Death occurred more commonly in the first wave (51%) than in the other waves. Patients were investigated more commonly in the first and third waves than in the second wave. The positivity rate was high in the third wave (22.8%) than in other waves. In the third wave, the positivity rate was higher in women (24.3%) than in men. Post COVID cough increased in the second wave and fatigue was higher in the third wave than in other waves. Tiredness and memory loss was greater during the second wave than in other waves. Conclusion: This study revealed that the presenting symptoms, outcomes, and epidemiologic trends differed during the COVID 19 waves.


Assuntos
Transtornos da Memória , Transtornos do Olfato , Morte , COVID-19 , Fadiga
2.
Sarah Wulf Hanson; Cristiana Abbafati; Joachim G Aerts; Ziyad Al-Aly; Charlie Ashbaugh; Tala Ballouz; Oleg Blyuss; Polina Bobkova; Gouke Bonsel; Svetlana Borzakova; Danilo Buonsenso; Denis Butnaru; Austin Carter; Helen Chu; Cristina De Rose; Mohamed Mustafa Diab; Emil Ekbom; Maha El Tantawi; Victor Fomin; Robert Frithiof; Aysylu Gamirova; Petr V Glybochko; Juanita A. Haagsma; Shaghayegh Haghjooy Javanmard; Erin B Hamilton; Gabrielle Harris; Majanka H Heijenbrok-Kal; Raimund Helbok; Merel E Hellemons; David Hillus; Susanne M Huijts; Michael Hultstrom; Waasila Jassat; Florian Kurth; Ing-Marie Larsson; Miklos Lipcsey; Chelsea Liu; Callan D Loflin; Andrei Malinovschi; Wenhui Mao; Lyudmila Mazankova; Denise McCulloch; Dominik Menges; Noushin Mohammadifard; Daniel Munblit; Nikita A Nekliudov; Osondu Ogbuoji; Ismail M Osmanov; Jose L. Penalvo; Maria Skaalum Petersen; Milo A Puhan; Mujibur Rahman; Verena Rass; Nickolas Reinig; Gerard M Ribbers; Antonia Ricchiuto; Sten Rubertsson; Elmira Samitova; Nizal Sarrafzadegan; Anastasia Shikhaleva; Kyle E Simpson; Dario Sinatti; Joan B Soriano; Ekaterina Spiridonova; Fridolin Steinbeis; Andrey A Svistunov; Piero Valentini; Brittney J van de Water; Rita van den Berg-Emons; Ewa Wallin; Martin Witzenrath; Yifan Wu; Hanzhang Xu; Thomas Zoller; Christopher Adolph; James Albright; Joanne O Amlag; Aleksandr Y Aravkin; Bree L Bang-Jensen; Catherine Bisignano; Rachel Castellano; Emma Castro; Suman Chakrabarti; James K Collins; Xiaochen Dai; Farah Daoud; Carolyn Dapper; Amanda Deen; Bruce B Duncan; Megan Erickson; Samuel B Ewald; Alize J Ferrari; Abraham D. Flaxman; Nancy Fullman; Amiran Gamkrelidze; John R Giles; Gaorui Guo; Simon I Hay; Jiawei He; Monika Helak; Erin N Hulland; Maia Kereselidze; Kris J Krohn; Alice Lazzar-Atwood; Akiaja Lindstrom; Rafael Lozano; Beatrice Magistro; Deborah Carvalho Malta; Johan Mansson; Ana M Mantilla Herrera; Ali H Mokdad; Lorenzo Monasta; Shuhei Nomura; Maja Pasovic; David M Pigott; Robert C Reiner Jr.; Grace Reinke; Antonio Luiz P Ribeiro; Damian Francesco Santomauro; Aleksei Sholokhov; Emma Elizabeth Spurlock; Rebecca Walcott; Ally Walker; Charles Shey Wiysonge; Peng Zheng; Janet Prvu Bettger; Christopher JL Murray; Theo Vos.
medrxiv; 2022.
Preprint em Inglês | medRxiv | ID: ppzbmed-10.1101.2022.05.26.22275532

RESUMO

ImportanceWhile much of the attention on the COVID-19 pandemic was directed at the daily counts of cases and those with serious disease overwhelming health services, increasingly, reports have appeared of people who experience debilitating symptoms after the initial infection. This is popularly known as long COVID. ObjectiveTo estimate by country and territory of the number of patients affected by long COVID in 2020 and 2021, the severity of their symptoms and expected pattern of recovery DesignWe jointly analyzed ten ongoing cohort studies in ten countries for the occurrence of three major symptom clusters of long COVID among representative COVID cases. The defining symptoms of the three clusters (fatigue, cognitive problems, and shortness of breath) are explicitly mentioned in the WHO clinical case definition. For incidence of long COVID, we adopted the minimum duration after infection of three months from the WHO case definition. We pooled data from the contributing studies, two large medical record databases in the United States, and findings from 44 published studies using a Bayesian meta-regression tool. We separately estimated occurrence and pattern of recovery in patients with milder acute infections and those hospitalized. We estimated the incidence and prevalence of long COVID globally and by country in 2020 and 2021 as well as the severity-weighted prevalence using disability weights from the Global Burden of Disease study. ResultsAnalyses are based on detailed information for 1906 community infections and 10526 hospitalized patients from the ten collaborating cohorts, three of which included children. We added published data on 37262 community infections and 9540 hospitalized patients as well as ICD-coded medical record data concerning 1.3 million infections. Globally, in 2020 and 2021, 144.7 million (95% uncertainty interval [UI] 54.8-312.9) people suffered from any of the three symptom clusters of long COVID. This corresponds to 3.69% (1.38-7.96) of all infections. The fatigue, respiratory, and cognitive clusters occurred in 51.0% (16.9-92.4), 60.4% (18.9-89.1), and 35.4% (9.4-75.1) of long COVID cases, respectively. Those with milder acute COVID-19 cases had a quicker estimated recovery (median duration 3.99 months [IQR 3.84-4.20]) than those admitted for the acute infection (median duration 8.84 months [IQR 8.10-9.78]). At twelve months, 15.1% (10.3-21.1) continued to experience long COVID symptoms. Conclusions and relevanceThe occurrence of debilitating ongoing symptoms of COVID-19 is common. Knowing how many people are affected, and for how long, is important to plan for rehabilitative services and support to return to social activities, places of learning, and the workplace when symptoms start to wane. Key PointsO_ST_ABSQuestionC_ST_ABSWhat are the extent and nature of the most common long COVID symptoms by country in 2020 and 2021? FindingsGlobally, 144.7 million people experienced one or more of three symptom clusters (fatigue; cognitive problems; and ongoing respiratory problems) of long COVID three months after infection, in 2020 and 2021. Most cases arose from milder infections. At 12 months after infection, 15.1% of these cases had not yet recovered. MeaningThe substantial number of people with long COVID are in need of rehabilitative care and support to transition back into the workplace or education when symptoms start to wane.


Assuntos
Doença Aguda , Dispneia , COVID-19 , Fadiga , Transtornos Cognitivos , Doença
3.
medrxiv; 2022.
Preprint em Inglês | medRxiv | ID: ppzbmed-10.1101.2022.02.14.22270965

RESUMO

Background: The doctors and the other health care workers are the first-line fighters against COVID-19. This study aims to identify the prevalence, risk factors, clinical severity of COVID-19 infection among the doctors working in the COVID unit. We also analyzed the hospital data for admission and RT-PCR positivity among the physicians. Methods: It was a cross-sectional survey and review of the hospital database. We surveyed from September 2021 to October 2021 and explored the hospital data from march 2020 to September 2021.We included 342 physicians for analysis in the survey. We reviewed hospital data of 1578 total admitted patients and 336 RT-PCR test positive physicians for analyzing the hospital admission rate, the positivity rate for COVID-19 among the physicians and the other patients in the different COVID- 19 surges. Findings: In this study, we demonstrated the physicians sufferings during the pandemic era. We have observed four surges in the hospital admission and RT-PCR for COVID-19 positivity rate among the physicians and the general population. The physicians experienced a similar surge in the hospital admission and positivity rate to the general population. The hospital admission was lower in the fourth surge among the physicians than the general population. The positivity rate was higher in the first, second and third surge among the physicians. In the survey, a total of 146(42%) respondents had COVID-19 infection, and among them, 50(34.2%) had re-detectable positive SARS-CoV-2 infection. Most of them experienced mild (77[52.7%]) to moderate (41[28.1%]) symptoms. Increasing age (OR, 95%CI, p-value; 1.15, 1.05-1.25, 0.002), male sex (OR, 95%CI, p-value; 5.8, 3.2-9.8, <0.001), and diabetes (OR, 95%CI, p-value; 25.6, 2-327.2, 0.01) were the risk factor of having COVID-19. Female sex and diabetes were the risk factors for re-detectable positive SARS-CoV-2 infection. (OR, 95%CI, p-value; 0.24, 0.09-0.67, 0.006; 44, 8.9-218.7, <0.001 respectively). Most respondents suffered for 7-14 days. Total 98(67%) suffered from post-COVID fatigue. Conclusions: The physicians observed four surges in hospital admission and COVID-19 positivity rate. A significant number of the COVID-warrior became positive for SARS-CoV-2, had r e-detectable positive SARS-CoV-2 infection, and suffered in the post-COVID-19 state.


Assuntos
COVID-19 , Fadiga , Diabetes Mellitus
4.
Publisia: Jurnal Kebijakan Publik ; 6(1):15-31, 2021.
Artigo em Inglês | Indonesian Research | ID: covidwho-1552452

RESUMO

At present the COVID-19 contagious disease outbreak can spread rapidly throughout the world including Indonesia. Apart from having a negative impact on the health sector it also impacts the economic social cultural resilience tourism and other sectors. This can threaten people in rural areas who have gaps in health accessibility and high levels of poverty compared to urban areas. So it is necessary to carry out village economic development but still protect the health of rural communities from the COVID-19 disaster. This cannot be done by the government alone. Interdisciplinary and field cooperation is required by referring to the principles of collaborative governance. The research objective was to determine the ideal collaborative governance model in village development during the COVID-19 pandemic. This research uses qualitative methods with a descriptive approach. This method can be studied comprehensively and deeply. The results of this study indicate that in South Lampung Regency there are already several priority activities in the economic and health sectors some of these priority activities such as COVID-19 Response Village Village Cash Intensive Work Village Fund Direct Cash Assistance (BLT) and other Infrastructure Development. These priority activities are collaborations carried out by the government society and business

5.
ssrn; 2021.
Preprint em Inglês | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3759687

RESUMO

Background: Post COVID syndrome is defined in this articles as: 1. Persistence of the symptoms beyond the virologic clearance. 2. New development of symptoms or exaggeration of chronic diseases within 1 month after initial clinical and virologic cure, the etiology of which postulated to be viral. The study aims to find the incidence, association, and the risk factors for the development of the syndrome.Methods: This Prospective Cohort study was conducted in Dhaka Medical college Hospital, from 01, June 2020 to 10, August 2020. Consecutive patients were enrolled and followed up for at least 1 month after recovery.Findings: Among 400 recruited patients 355 patients were analyzed. Mean (SD) age was 39•9(13•4) years, with male dominance (1•4:1). Total 162 (46%) patients developed post COVID symptoms. Among them post viral fatigue117 (70%) was most prevalent. Post COVID features are significantly higher among the female [RR, 95% CI, p 1•2, (1•02-1•48), 0•03], those who suffered for longer period (p= 0•00) and those who had prolonged positivity [RR, 95% CI, p; 1•09, (1•00-1•19), 0•00] for Covid 19. Severity of the COVID had also positive association (p value=0•02). Those who have Fever [RR, 95% CI, p; 1•5, (1•05-2•27), 0•03], Cough [RR, 95% CI, p; 1•36, (1•02-1•81),, 0•04] respiratory distress [RR, 95% CI, p; 1•3, (1•4-1•56),0•001], and lethargy [RR, 95% CI, p ;1•2, (1•06-1•35),0•003] as the presenting features were more susceptible. Logistic regression established female gender, respiratory distress, lethargy and long duration of the disease as risk factors.Interpretations: Female gender, patient presenting with respiratory distress, lethargy and who suffered for long duration are the risk factors.Funding: Received no funds from any source.Declaration of Interests: The authors declare that there is no conflict of interests regarding the publication of this paper.Ethics Approval Statement: Ethical approval was obtained from institutional ethical committee.


Assuntos
COVID-19
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