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1.
Mental health and sleep quality issues in adolescents with chronic conditions during and after COVID-19 quarantine COVID19 COVID 19 COVID-1 COVID1 1 COVID-
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Sousa, Renan Andrews de
; Paradelas, Levi Medeiros Vieira
; Lindoso, Livia
; Campos, Reinan Tavares
; Battiferro, Rafaela Mendes
; Carneiro, Beatriz Oliveira Leão
; Souza, Jean Paulo Veronesse de
; Freire, Marianna Ribeiro de Menezes
; Cardoso, Maria Paula Ribeiro
; Strabelli, Claudia Alejandra Ayala
; Silva, Clovis Artur
.
2.
Impact of COVID-19 on physical and mental functioning in adolescents with disabilities in a sports nongovernmental organization
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Laurentino, Moisés de Freitas
; Lindoso, Livia
; Astley, Camilla
; Lavorato, Sofia Simão Martins
; Ihara, Bianca Pires
; Lima, Dandara Carvalho Casado de
; Gualano, Bruno
; Queiroz, Lígia Bruni
; Pereira, Rosa Maria Rodrigues
; Polanczyk, Guilherme Vanoni
; Camargo, Olavo Pires de
; Silva, Clovis Artur
; Grangeiro, Patricia Moreno
.
Resumo Objetivo: Avaliar os parâmetros de saúde física e mental, de qualidade de vida relacionada à saúde (QVRS), em adolescentes com deficiência física matriculados em organização não governamental (ONG) esportiva vs. em adolescentes sem deficiência, durante a pandemia da doença do coronavírus 2019 (COVID-19). Métodos: Este estudo transversal incluiu 30 adolescentes com deficiência e 86 adolescentes sem deficiência que responderam a questionário online com dados sociodemográficos e informações de rotina de saúde autoavaliadas durante a quarentena da COVID-19. Versões validadas de autorrelato do Strengths and Difficulties Questionnaire (SDQ), Pediatric Quality of Life Inventory 4.0 (PedsQL4.0), Pittsburgh Sleep Quality Index (PSQI) e Pediatric Outcome Data Collection Instrument (PODCI) também foram aplicadas. Resultados: A mediana de problemas emocionais [4(0–10) vs. 5(0–10),p=0,018] e pró-social [7(0–10) vs. 9(3–10),p=0,006] foi menor em adolescentes com deficiência vs. adolescentes sem deficiência. Adolescentes com deficiência tiveram função global significantemente inferior [68(21–99) vs. 94(67–100),p <0,001] e pontuações de felicidade mais altas do PODCI [90(65–100) vs. 80(0–100),p=0,016] em comparação com o grupo sem deficiências. A análise de regressão logística demonstrou que a atividade física/semana (odds ratio — OR=1,03; intervalo de confiança — IC95%=1,01–1,05,p=0,002) foi maior nos adolescentes com deficiência. No entanto, atividades domésticas (OR=0,14; IC95%=0,04–0,43,p=0,001) e tempo de tela ≥3 horas/dia (OR=0,09; IC95%=0,02–0,38,p=0,001) foram menores nos adolescentes com deficiência. Conclusões: Os adolescentes com deficiência que frequentam uma organização não governamental (ONG) esportiva não tiveram maior risco de apresentar indicadores adversos à saúde; apesar de apresentarem função física reduzida, relataram mais atividade física, maior felicidade e menos tempo de tela em comparação com adolescentes sem deficiência durante a pandemia da COVID-19.
Abstract Objective: This study aimed to assess physical and mental health, and health-related quality of life (HRQL) parameters in adolescents with physical disabilities enrolled in a sports nongovernmental organization (NGO) versus adolescents without disabilities during coronavirus disease 2019 (COVID-19) pandemic. Methods: This cross-sectional study included 30 adolescents with disabilities and 86 adolescents without disabilities who responded to an online questionnaire with sociodemographic data and self-rated healthcare routine information during the COVID-19 quarantine. Validated self-report versions of the Strengths and Difficulties Questionnaire (SDQ), Pediatric Quality of Life Inventory 4.0 (PedsQL 4.0), Pittsburgh Sleep Quality Index (PSQI), and Pediatric Outcome Data Collection Instrument (PODCI) were also applied. Results: The median of emotional [4 (0–10) vs. 5 (0–10), p=0.018] and prosocial [7 (0–10) vs. 9 (3–10), p=0.006] problems was lower in adolescents with disabilities versus adolescents without disabilities. Adolescents with disabilities had significantly lower global function [68 (21–99) vs. 94 (67–100), p<0.001] and higher happiness scores in the PODCI scale [90 (65–100) vs. 80 (0–100), p=0.016] compared to controls. Logistic regression analysis demonstrated that physical activity/week (OR=1.03; 95%CI 1.01–1.05, p=0.002) was higher in adolescents with disabilities compared to adolescents without disabilities. However, housework activities (OR=0.14; 95%CI 0.04–0.43, p=0.001) and screen time ≥3 h/day (OR=0.09; 95%CI 0.02–0.38, p=0.001) were lower in adolescents with disabilities compared to adolescents without disabilities. Conclusion: Adolescents with disabilities attending a sports NGO were not at higher risk of adverse health-related indicators; despite showing reduced physical function, they reported more physical activity, higher happiness, and less screen time compared to adolescents without disabilities during the COVID-19 pandemic.
3.
Emotional, hyperactivity and inattention problems in adolescents with immunocompromising chronic diseases during the COVID-19 pandemic Emotional COVID19 COVID 19 COVID-1 COVID1 1 COVID-
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Campos, Reinan T.
; Lindoso, Livia
; Sousa, Renan A. de
; Helito, Alberto C.
; Ihara, Bianca P.
; Strabelli, Claudia A.A.
; Paradelas, Levi M.V.
; Carneiro, Beatriz O.L.
; Cardoso, Maria Paula R.
; Souza, Jean Paulo V. de
; Freire, Marianna R. de M.
; Astley, Camilla
; Laurentino, Moisés F.
; Buscatti, Izabel M.
; Kozu, Katia
; Aikawa, Nadia E.
; Sallum, Adriana M.E.
; Ferreira, Juliana CO.
; Simon, Juliana R.
; Viana, Vivianne S.L.
; Queiroz, Ligia B.
; Gualano, Bruno
; Roschel, Hamilton
; Pereira, Rosa Maria R.
; Toma, Ricardo K.
; Watanabe, Andréia
; Grangeiro, Patricia M.
; Casella, Caio B.
; Farhat, Sylvia C.
; Polanczyk, Guilherme V.
; Campos, Lucia Maria A.
; Silva, Clovis A.
.
Abstract Objective: To assess factors associated with emotional changes and Hyperactivity/Inattention (HI) motivated by COVID-19 quarantine in adolescents with immunocompromising diseases. Methods: A cross-sectional study included 343 adolescents with immunocompromising diseases and 108 healthy adolescents. Online questionnaires were answered including socio-demographic data and self-rated healthcare routine during COVID-19 quarantine and validated surveys: Strengths and Difficulties Questionnaire (SDQ), Pittsburgh Sleep Quality Index (PSQI), Pediatric Quality of Life Inventory 4.0 (PedsQL4.0). Results: The frequencies of abnormal emotional SDQ scores from adolescents with chronic diseases were similar to those of healthy subjects (110/343 [32%] vs. 38/108 [35%], p = 0.548), as well as abnormal hyperactivity/inattention SDQ scores (79/343 [23%] vs. 29/108 [27%], p = 0.417). Logistic regression analysis of independent variables associated with abnormal emotional scores from adolescents with chronic diseases showed: female sex (Odds Ratio [OR = 3.76]; 95% Confidence Interval (95% CI) 2.00–7.05; p < 0.001), poor sleep quality (OR = 2.05; 95% CI 1.08–3.88; p = 0.028) and intrafamilial violence during pandemic (OR = 2.17; 95% CI 1.12–4.19; p = 0.021) as independently associated with abnormal emotional scores, whereas total PedsQL score was inversely associated with abnormal emotional scores (OR = 0.95; 95% CI 0.93–0.96; p < 0.0001). Logistic regression analysis associated with abnormal HI scores from patients evidenced that total PedsQL score (OR = 0.97; 95% CI 0.95–0.99; p = 0.010], changes in medical appointments during the pandemic (OR = 0.39; 95% CI 0.19–0.79; p = 0.021), and reliable COVID-19 information (OR = 0.35; 95% CI 0.16–0.77; p = 0.026) remained inversely associated with abnormal HI scores. Conclusion: The present study showed emotional and HI disturbances in adolescents with chronic immunosuppressive diseases during the COVID-19 pandemic. It reinforces the need to promptly implement a longitudinal program to protect the mental health of adolescents with and without chronic illnesses during future pandemics. Objective HyperactivityInattention Hyperactivity Inattention (HI COVID19 COVID 19 COVID-1 Methods crosssectional cross sectional 34 10 sociodemographic socio demographic selfrated self rated surveys SDQ, , (SDQ) PSQI, PSQI (PSQI) 40 4 0 4. PedsQL4.0. PedsQL40 PedsQL4.0 . PedsQL4 (PedsQL4.0) Results 110/343 110343 110 (110/34 32% 32 [32% vs 38108 38 38/10 35%, 35 35% [35%] 0.548, 0548 0.548 548 0.548) hyperactivityinattention hyperactivity inattention 79/343 79343 79 (79/34 23% 23 [23% 29108 29 29/10 27%, 27 27% [27%] 0.417. 0417 0.417 417 0.417) Odds OR 3.76 376 3 76 3.76] 95 (95 2.00–7.05 200705 2 00 7 05 0.001, 0001 0.001 001 0.001) 2.05 205 1.08–3.88 108388 1 08 88 0.028 0028 028 2.17 217 17 1.12–4.19 112419 12 0.021 0021 021 0.95 095 0.93–0.96 093096 93 96 0.0001. 00001 0.0001 0.0001) 0.97 097 97 0.95–0.99 095099 99 0.010, 0010 0.010 010 0.010] 0.39 039 39 0.19–0.79 019079 0.021, 0.35 035 0.16–0.77 016077 16 77 0.026 0026 026 Conclusion pandemics COVID1 COVID- (SDQ (PSQI PedsQL4. (PedsQL4.0 110/34 11034 11 (110/3 [32 3810 38/1 [35% 054 0.54 54 79/34 7934 (79/3 [23 2910 29/1 [27% 041 0.41 41 3.7 37 9 (9 2.00–7.0 20070 000 0.00 2.0 20 1.08–3.8 10838 8 0.02 002 02 2.1 21 1.12–4.1 11241 0.9 09 0.93–0.9 09309 0000 0.000 0.95–0.9 09509 0.01 01 0.3 03 0.19–0.7 01907 0.16–0.7 01607 (PedsQL4. 110/3 1103 (110/ [3 381 38/ [35 0.5 5 79/3 793 (79/ [2 291 29/ [27 04 0.4 3. ( 2.00–7. 2007 0.0 2. 1.08–3. 1083 1.12–4. 1124 0. 0.93–0. 0930 0.95–0. 0950 0.19–0. 0190 0.16–0. 0160 (PedsQL4 110/ (110 [ 79/ (79 2.00–7 200 1.08–3 1.12–4 112 0.93–0 093 0.95–0 0.19–0 019 0.16–0 016 (PedsQL (11 (7 2.00– 1.08– 1.12– 0.93– 0.95– 0.19– 0.16– (1 2.00 1.08 1.12 0.93 0.19 0.16 1.0 1.1 0.1 1.
4.
Major discrepancy between clinical diagnosis of death and anatomopathological findings in adolescents with chronic diseases during 18-years 18years years 18 1
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Ribeiro, Maira P.
; Duarte Neto, Amaro N.
; Dolhnikoff, Marisa
; Lindoso, Livia
; Lourenco, Benito
; Marques, Heloisa H.
; Pereira, Maria F.B.
; Cristofani, Lilian M.
; Odone Filho, Vicente
; Campos, Lucia M.A.
; Sallum, Adriana M.E.
; Carneiro-Sampaio, Magda
; Delgado, Artur F.
; Carvalho, Werther B.
; Mauad, Thais
; Silva, Clovis A.
.
Abstract Objectives: To evaluate the inconsistency between clinical diagnosis of death and autopsy findings in adolescents with chronic diseases. Methods: A cross-sectional study including a sample of adolescents’ autopsies who died in a pediatric and adolescent tertiary hospital over 18 consecutive years. During this period, there were n = 2912 deaths, and n = 581/2912(20%) occurred in adolescents. Of these, n = 85/581(15%) underwent autopsies and were analyzed. Further results were divided into two groups: Goldman classes I or II (high disagreement between main clinical diagnosis of death and anatomopathological findings, n = 26) and Goldman classes III, IV or V (low or no disagreement between these two parameters, n = 59). Results: Median age at death (13.5 [10‒19] vs. 13 [10‒19] years, p = 0.495) and disease duration (22 [0‒164] vs. 20 [0‒200] months, p = 0.931), and frequencies for males (58% vs. 44%, p = 0.247) were similar between class I/II vs. class III/IV/V. The frequency of pneumonia (73% vs. 48%, p = 0.029), pulmonary abscess (12% vs. 0%, p = 0.026), as well as isolation of yeast (27% vs. 5%, p = 0.008), and virus (15% vs. 2%, p = 0.029) identified in the autopsy, were significantly higher in adolescents with Goldman class I/II compared to those with Goldman class III/IV/V. In contrast, cerebral edema was significantly lower in adolescents of the first group (4% vs. 25%, p = 0.018). Conclusion: This study showed that 30% of the adolescents with chronic diseases had major discrepancies between clinical diagnosis of death and autopsy findings. Pneumonia, pulmonary abscess, as well as isolation of yeast and virus were more frequently identified at autopsy findings in the groups with major discrepancies. Objectives Methods crosssectional cross sectional 1 years period 291 deaths 581/291220% 581291220 581/2912 20% 581 581/2912(20% 85/58115% 8558115 85/581 15% 85 15 85/581(15% analyzed high 26 III low parameters 59. 59 . 59) Results 13.5 135 5 (13. 10‒19 1019 10 19 [10‒19 vs 0.495 0495 0 495 22 (2 0‒164 0164 164 [0‒164 2 0‒200 0200 200 [0‒200 months 0.931, 0931 0.931 , 931 0.931) 58% 58 (58 44 44% 0.247 0247 247 IIIIVV III/IV/V 73% 73 (73 48 48% 0.029, 0029 0.029 029 12% 12 (12 0% 0.026, 0026 0.026 026 0.026) 27% 27 (27 5% 0.008, 0008 0.008 008 0.008) (15 2% contrast 4% 4 (4 25 25% 0.018. 0018 0.018 018 0.018) Conclusion 30 Pneumonia 29 291220 581/291220 58129122 5812912 581/291 581/2912(20 58115 85/58115 855811 85581 85/58 8 85/581(15 13. (13 10‒1 101 [10‒1 0.49 049 49 ( 0‒16 016 16 [0‒16 0‒20 020 [0‒20 093 0.93 93 (5 0.24 024 24 7 (7 002 0.02 02 (1 000 0.00 00 001 0.01 01 3 29122 581/29122 581291 581/29 581/2912(2 5811 85/5811 8558 85/5 85/581(1 10‒ [10‒ 0.4 04 0‒1 [0‒1 0‒2 [0‒2 09 0.9 9 0.2 0.0 58129 581/2 581/2912( 855 85/ 85/581( [10 0. 0‒ [0‒ 5812 581/ [1 [0 [
5.
Physical and mental health impacts during COVID-19 quarantine in adolescents with preexisting chronic immunocompromised conditions
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Lindoso, Livia
; Astley, Camilla
; Queiroz, Ligia Bruni
; Gualano, Bruno
; Pereira, Rosa Maria Rodrigues
; Tannuri, Uenis
; Campos, Lúcia Maria Mattei de Arruda
; Lourenço, Benito
; Toma, Ricardo Katsuya
; Medeiros, Karina
; Watanabe, Andréia
; Grangeiro, Patricia Moreno
; Barros, Vera da Penha Martellini Ferrari Rego
; Casella, Caio Borba
; Farhat, Sylvia
; Polanczyk, Guilherme Vanoni
; Silva, Clovis Artur
.
Abstract Objective: To evaluate physical and mental health indicators in adolescents with preexisting chronic immunocompromised conditions during coronavirus disease 2019 (COVID-19) quarantine. Methods: A cross-sectional study included 355 adolescents with chronic conditions and 111 healthy adolescents. An online self-rated survey was used to investigate socio-demographic features, healthcare routine, and the quarantine impact on physical and mental health. The validated self-reported version of the Strengths and Difficulties Questionnaire (SDQ) was also applied. Results: The median of age [14 (10–18) vs. 15 (10–18) years, p = 0.733] and frequencies of female (61% vs. 60%, p = 0.970) were similar between adolescents with preexisting chronic conditions and healthy adolescents during quarantine of COVID-19 pandemic. The frequencies of abnormal total difficulties score of SDQ were similar in patients and controls (30% vs. 31%, p = 0.775). Logistic regression analysis showed that being female (OR = 1.965; 95% CI = 1.091–3.541, p = 0.024), fear of underlying disease activity/complication (OR = 1.009; 95%CI = 1.001–1.018, p = 0.030) were associated with severe psychosocial dysfunction in adolescents with chronic conditions, whereas school homework (OR = 0.449; 95% CI = 0.206–0.981, p = 0.045) and physical activity (OR = 0.990; 95% CI = 0.981–0.999, p = 0.030) were protective factors. Further analysis of patients with chronic immunocompromised conditions and previous diagnosis of mental disorders (9%) compared with patients without diagnosis showed higher median of total difficulties score (p = 0.001), emotional (p = 0.005), conduct (p = 0.007), peer problems (p = 0.001) and hyperactivity (p = 0.034) in the former group. Conclusion: Adolescents with preexisting chronic immunocompromised conditions during COVID-19 quarantine were not at higher risk of adverse health indicators. Being female, fear of underlying disease activity/complication, and household members working outside of the home were relevant issues for adolescents with preexisting chronic conditions. This study reinforces the need to establish mental health strategies for teens with chronic conditions, particularly during the pandemic.
6.
Poor Sleep quality and health-related quality of life impact in adolescents with and without chronic immunosuppressive conditions during COVID-19 quarantine
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Helito, Alberto C.
; Lindoso, Livia
; Sieczkowska, Sofia M.
; Astley, Camilla
; Queiroz, Ligia B.
; Rose, Natalia
; Santos, Claudia Renata P.
; Bolzan, Thalis
; Peralta, Rita María I.A.
; Franco, Ruth R.
; Cominato, Louise
; Pereira, Rosa Maria R.
; Tannuri, Uenis
; Campos, Lucia Maria A.
; Lourenço, Benito
; Toma, Ricardo K.
; Medeiros, Karina
; Watanabe, Andréia
; Grangeiro, Patricia Moreno
; Farhat, Sylvia C.
; Casella, Caio B.
; Polanczyk, Guilherme V.
; Gualano, Bruno
; Silva, Clovis A.
; Sallum, Adriana M. E.
; Iraha, Amanda Y.
; Ihara, Bianca P.
; Mazzolani, Bruna C.
; Martinez, Claudia A.
; Strabelli, Claudia A. A.
; Fonseca, Claudia B.
; Lima, Dandara C. C.
; Setoue, Debora N. D.
; Roz, Deborah F. P.
; Smaira, Fabiana I.
; Roschel, Hamilton
; Miyatani, Helena T.
; Marques, Isabela G.
; Oba, Jane
; Ferreira, Juliana C. O.
; Simon, Juliana R.
; Kozu, Katia
; Saccani, Ligia P.
; Martiniano, Lorena V. M.
; Miranda, Luana C. A.
; Silva, Luiz E. V.
; Laurentino, Moisés F.
; Aikawa, Nadia E.
; Sakita, Neusa K.
; Tanigava, Nicolas Y.
; Pereira, Paulo R. A.
; Palmeira, Patrícia
; Angelo, Simone S.
; Lavorato, Sofia S. M.
; Bernardes, Tamires M.
; Franco, Tathiane C.
; Viana, Vivianne S. L.
; Barros, Vera P. M. F. R.
; Zheng, Yingying
.
OBJECTIVE: To assess the possible factors that influence sleep quality in adolescents with and without chronic immunosuppressive conditions quarantined during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: This cross-sectional study included 305 adolescents with chronic immunocompromised conditions and 82 healthy adolescents. Online surveys were completed, which included questions on socio-demographic data and self-rated healthcare routine during COVID-19 quarantine and the following validated questionnaires: the Pittsburgh Sleep Quality Index (PSQI), Pediatric Quality of Life Inventory 4.0 (PedsQL4.0), and Pediatric Outcome Data Collection Instrument (PODCI). RESULTS: The median current age [14 (10-18) vs. 15 (10-18) years, p=0.847] and frequency of female sex (62% vs. 58%, p=0.571) were similar in adolescents with chronic conditions compared with healthy adolescents. The frequency of poor sleep quality was similar in both groups (38% vs. 48%, p=0.118). Logistic regression analysis, including both healthy adolescents and adolescents with chronic conditions (n=387), demonstrated that self-reported increase in screen time (odds ratio [OR] 3.0; 95% confidence interval [CI] 1.3-6.8; p=0.008) and intrafamilial violence report (OR 2.1; 95% CI 1.2-3.5; p=0.008) were independently associated with poor sleep quality in these adolescents. However, the PODCI global function score was associated with a lower OR for poor sleep quality (OR 0.97; 95% CI 0.94-0.99; p=0.001). Further logistic regression, including only adolescents with chronic conditions (n=305), demonstrated that self-reported increase in screen time (OR 3.1; 95% CI 1.4-6.8; p=0.006) and intrafamilial violence report (OR 2.0; 95% CI 1.2-3.4; p=0.011) remained independently associated with poor quality of sleep, whereas a lower PODCI global function score was associated with a lower OR for sleep quality (OR 0.96; 95% CI 0.94-0.98; p<0.001). CONCLUSION: Self-reported increases in screen time and intrafamilial violence report impacted sleep quality in both healthy adolescents and those with chronic conditions. Decreased health-related quality of life was observed in adolescents with poor sleep quality.
7.
Persistent symptoms and decreased health-related quality of life after symptomatic pediatric COVID-19: A prospective study in a Latin American tertiary hospital
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Fink, Thais T.
; Marques, Heloisa H.S.
; Gualano, Bruno
; Lindoso, Livia
; Bain, Vera
; Astley, Camilla
; Martins, Fernanda
; Matheus, Denise
; Matsuo, Olivia M.
; Suguita, Priscila
; Trindade, Vitor
; Paula, Camila S.Y.
; Farhat, Sylvia C.L.
; Palmeira, Patricia
; Leal, Gabriela N.
; Suzuki, Lisa
; Odone Filho, Vicente
; Carneiro-Sampaio, Magda
; Duarte, Alberto José S.
; Antonangelo, Leila
; Batisttella, Linamara R.
; Polanczyk, Guilherme V.
; Pereira, Rosa Maria R.
; Carvalho, Carlos Roberto R.
; Buchpiguel, Carlos A.
; Latronico, Ana Claudia
; Seelaender, Marilia
; Silva, Clovis Artur
; Pereira, Maria Fernanda B.
; Sallum, Adriana M. E.
; Brentani, Alexandra V. M.
; Neto, Álvaro José S.
; Ihara, Amanda
; Santos, Andrea R.
; Canton, Ana Pinheiro M.
; Watanabe, Andreia
; Santos, Angélica C. dos
; Pastorino, Antonio C.
; Franco, Bernadette D. G. M.
; Caruzo, Bruna
; Ceneviva, Carina
; Martins, Carolina C. M. F.
; Prado, Danilo
; Abellan, Deipara M.
; Benatti, Fabiana B.
; Smaria, Fabiana
; Gonçalves, Fernanda T.
; Penteado, Fernando D.
; Castro, Gabriela S. F. de
; Gonçalves, Guilherme S.
; Roschel, Hamilton
; Disi, Ilana R.
; Marques, Isabela G.
; Castro, Inar A.
; Buscatti, Izabel M.
; Faiad, Jaline Z.
; Fiamoncini, Jarlei
; Rodrigues, Joaquim C.
; Carneiro, Jorge D. A.
; Paz, Jose A.
; Ferreira, Juliana C.
; Ferreira, Juliana C. O.
; Silva, Katia R.
; Bastos, Karina L. M.
; Kozu, Katia
; Cristofani, Lilian M.
; Souza, Lucas V. B.
; Campos, Lucia M. A.
; Silva Filho, Luiz Vicente R. F.
; Sapienza, Marcelo T.
; Lima, Marcos S.
; Garanito, Marlene P.
; Santos, Márcia F. A.
; Dorna, Mayra B.
; Aikawa, Nadia E.
; Litvinov, Nadia
; Sakita, Neusa K.
; Gaiolla, Paula V. V.
; Pasqualucci, Paula
; Toma, Ricardo K.
; Correa-Silva, Simone
; Sieczkowska, Sofia M.
; Imamura, Marta
; Forsait, Silvana
; Santos, Vera A.
; Zheng, Yingying
.
OBJECTIVES: To prospectively evaluate demographic, anthropometric and health-related quality of life (HRQoL) in pediatric patients with laboratory-confirmed coronavirus disease 2019 (COVID-19) METHODS: This was a longitudinal observational study of surviving pediatric post-COVID-19 patients (n=53) and pediatric subjects without laboratory-confirmed COVID-19 included as controls (n=52) was performed. RESULTS: The median duration between COVID-19 diagnosis (n=53) and follow-up was 4.4 months (0.8-10.7). Twenty-three of 53 (43%) patients reported at least one persistent symptom at the longitudinal follow-up visit and 12/53 (23%) had long COVID-19, with at least one symptom lasting for >12 weeks. The most frequently reported symptoms at the longitudinal follow-up visit were headache (19%), severe recurrent headache (9%), tiredness (9%), dyspnea (8%), and concentration difficulty (4%). At the longitudinal follow-up visit, the frequencies of anemia (11% versus 0%, p=0.030), lymphopenia (42% versus 18%, p=0.020), C-reactive protein level of >30 mg/L (35% versus 0%, p=0.0001), and D-dimer level of >1000 ng/mL (43% versus 6%, p=0.0004) significantly reduced compared with baseline values. Chest X-ray abnormalities (11% versus 2%, p=0.178) and cardiac alterations on echocardiogram (33% versus 22%, p=0.462) were similar at both visits. Comparison of characteristic data between patients with COVID-19 at the longitudinal follow-up visit and controls showed similar age (p=0.962), proportion of male sex (p=0.907), ethnicity (p=0.566), family minimum monthly wage (p=0.664), body mass index (p=0.601), and pediatric pre-existing chronic conditions (p=1.000). The Pediatric Quality of Live Inventory 4.0 scores, median physical score (69 [0-100] versus 81 [34-100], p=0.012), and school score (60 [15-100] versus 70 [15-95], p=0.028) were significantly lower in pediatric patients with COVID-19 at the longitudinal follow-up visit than in controls. CONCLUSIONS: Pediatric patients with COVID-19 showed a longitudinal impact on HRQoL parameters, particularly in physical/school domains, reinforcing the need for a prospective multidisciplinary approach for these patients. These data highlight the importance of closer monitoring of children and adolescents by the clinical team after COVID-19.
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You can enrich your search in a very simple way. Use the search indexes combined with the connectors (AND or OR) and specify more your search.
For example, if you want to search for articles about
cases of dengue in Brasil in 2015, use:ti:dengue and publication_year:2015 and aff_country:Brasil
See below the complete list of search indexes that can be used:
Index code | Element |
---|---|
ti | article title |
au | author |
kw | article keywords |
subject | subject (title words, abstract and keywords) |
ab | abstract |
ta | journal short title (e.g. Cad. Saúde Pública) |
journal_title | journal full title (e.g. Cadernos de Saúde Pública) |
la | publication language code (e.g. pt - Portuguese, es - Spanish) |
type | document type |
pid | publication identifier |
publication_year | publication year of publication |
sponsor | sponsor |
aff_country | country code of the author's affiliation |
aff_institution | author affiliation institution |
volume | article volume |
issue | article issue |
elocation | elocation |
doi | DOI number |
issn | journal ISSN |
in | SciELO colection code (e.g. scl - Brasil, col - Colômbia) |
use_license | article usage license code |