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1.
Diagnostics (Basel) ; 12(10)2022 Oct 21.
Article in English | MEDLINE | ID: covidwho-2081895

ABSTRACT

Objective: A nomograph model of mortality risk for patients with coronavirus disease 2019 (COVID-19) was established and validated. Methods: We collected the clinical medical records of patients with severe/critical COVID-19 admitted to the eastern campus of Renmin Hospital of Wuhan University from January 2020 to May 2020 and to the north campus of Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, from April 2022 to June 2022. We assigned 254 patients to the former group, which served as the training set, and 113 patients were assigned to the latter group, which served as the validation set. The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression were used to select the variables and build the mortality risk prediction model. Results: The nomogram model was constructed with four risk factors for patient mortality following severe/critical COVID-19 (≥3 basic diseases, APACHE II score, urea nitrogen (Urea), and lactic acid (Lac)) and two protective factors (percentage of lymphocyte (L%) and neutrophil-to-platelets ratio (NPR)). The area under the curve (AUC) of the training set was 0.880 (95% confidence interval (95%CI), 0.837~0.923) and the AUC of the validation set was 0.814 (95%CI, 0.705~0.923). The decision curve analysis (DCA) showed that the nomogram model had high clinical value. Conclusion: The nomogram model for predicting the death risk of patients with severe/critical COVID-19 showed good prediction performance, and may be helpful in making appropriate clinical decisions for high-risk patients.

2.
Dent Traumatol ; 38(5): 367-373, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1861304

ABSTRACT

BACKGROUND/AIMS: Pediatric oral and maxillofacial surgeons have faced severe challenges in ward management due to their high risk of exposure during the COVID-19 epidemic. The aim of this study was to analyze and summarize the treatment methods and infection prevention and control measures applied in emergency cases in the Department of Pediatric Oral and Maxillofacial Surgery, Children's Hospital of Chongqing Medical University, during the COVID-19 epidemic. METHODS: In this retrospective study, information was collected from 256 pediatric emergency patients who were treated from January 23, 2020 to August 9, 2021. The patients' data were statistically analyzed according to age, gender, disease and pathogenesis, operation time, and the main treatment applied in pediatric oral and maxillofacial emergency cases during the COVID-19 epidemic. RESULTS: During the epidemic period, 256 pediatric emergency patients were successfully treated. Among them, there were 170 boys and 86 girls. In all, 182 patients were diagnosed with oral or facial lacerations; 43 had jaw fractures; 26 had maxillofacial infections; and five had dento-alveolar fractures. A total of 246 patients underwent surgery under negative pressure with level 3 protection standards. No doctors or patients infected with COVID-19 were found throughout the stury period. CONCLUSIONS: Pediatric oral and maxillofacial emergency in-patients mainly experienced maxillofacial trauma during the COVID-19 epidemic, followed by infection. Effective diagnosis and treatment, and avoidance of COVID-19 infection can be achieved by strictly following epidemic prevention and treatment procedures.


Subject(s)
COVID-19 , Maxillofacial Injuries , Skull Fractures , Child , Disease Outbreaks , Female , Humans , Male , Maxillofacial Injuries/epidemiology , Maxillofacial Injuries/therapy , Retrospective Studies , Skull Fractures/epidemiology
3.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-314403

ABSTRACT

Objectives: This study aimed to explore useful clinical indexes for management of severe/critically ill patients with COVID-19, Influenza A H7N9 and H1N1 pneumonia by comparing hematological and radiological characteristics between them. Methods Severe/critically ill patients with confirmed diagnosis of COVID-19, Influenza A H7N9 and H1N1 pneumonia were retrospectively enrolled. The demographic data, clinical manifestations, hematological parameters, and radiological characteristics of three groups were compared. The influenza A was divided into two groups with/without patient death. Results In this study, 16 cases of COVID-19, 10 cases of influenza A (H7N9), and 13 cases of influenza A (H1N1) who met severe/critically ill criteria were included. Compared with COVID-19, the Influenza A (H7N9 and H1N1) groups had relatively more chronic diseases (80% and 92.3% vs 25%, P༜0.05), higher APACHE Ⅱ scores (16.00 ± 8.63 and 15.08 ± 6.24, vs 5.50 ± 2.58, P༜0.05) and higher mortality rates (40% and 46.2% vs 0%, P༜0.05). The hematological finding indicated that Influenza A H7N9 and H1N1 patients had more significant lymphocytopenia (0.59 ± 0.31 × 109/L and 0.56 ± 0.35 × 109/L vs 0.97 ± 0.33 × 109/L, P < 0.05), elevated neutrophil to lymphocyte ratio (NLR;14.67 ± 6.10 and 14.64 ± 10.36 vs 6.29 ± 3.72, P < 0.05) compared to COVID-19. Especially in influenza A patients, NLR was significant different between the patients with or without death. Compared with the H7N9 group, ground glass opacity (GGO) on chest CT was more common in the COVID-19 group (P = 0.028), while pleural effusion was relatively rare (P = 0.001). Conclusion Compared to COVID-19, patients with Influenza A (H7N9 and H1N1) had more underlying chronic diseases and higher mortality rates. The NLR can be used as a clinical parameter for the predication of risk stratification and outcome in COVID-19 and Influenza A pneumonia. Manifestations of pleural effusion or GGO in chest CT may be helpful for the identification of different viral pneumonia.

4.
J Clin Lab Anal ; 35(12): e24100, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1508785

ABSTRACT

OBJECTIVES: This study aimed to explore clinical indexes for management of severe/critically ill patients with COVID-19, influenza A H7N9, and H1N1 pneumonia by comparing hematological and radiological characteristics. METHODS: Severe/critically ill patients with COVID-19, H7N9, and H1N1 pneumonia were retrospectively enrolled. The demographic data, clinical manifestations, hematological parameters, and radiological characteristics were compared. RESULTS: In this study, 16 cases of COVID-19, 10 cases of H7N9, and 13 cases of H1N1 who met severe/critically ill criteria were included. Compared with COVID-19, H7N9 and H1N1 groups had more chronic diseases (80% and 92.3% vs. 25%, p < 0.05), higher APACHE Ⅱ scores (16.00 ± 8.63 and 15.08 ± 6.24, vs. 5.50 ± 2.58, p < 0.05), higher mortality rates (40% and 46.2% vs. 0%, p < 0.05), significant lymphocytopenia (0.59 ± 0.31 × 109 /L and 0.56 ± 0.35 × 109 /L vs. 0.97 ± 0.33 × 109 /L, p < 0.05), and elevated neutrophil-to-lymphocyte ratio (NLR; 14.67 ± 6.10 and 14.64 ± 10.36 vs. 6.29 ± 3.72, p < 0.05). Compared with the H7N9 group, ground-glass opacity (GGO) on chest CT was common in the COVID-19 group (p = 0.028), while pleural effusion was rare (p = 0.001). CONCLUSIONS: The NLR can be used as a clinical parameter for the predication of risk stratification and outcome in COVID-19 and influenza A pneumonia. Manifestations of pleural effusion or GGO in chest CT may be helpful for the identification of different viral pneumonia.


Subject(s)
COVID-19/blood , COVID-19/diagnostic imaging , Influenza, Human/blood , Influenza, Human/diagnostic imaging , Aged , Aged, 80 and over , Blood Cell Count , COVID-19/etiology , Chronic Disease , Critical Illness , Female , Humans , Influenza A Virus, H1N1 Subtype , Influenza A Virus, H7N9 Subtype , Influenza, Human/etiology , Influenza, Human/virology , Male , Middle Aged , Pneumonia, Viral/blood , Pneumonia, Viral/diagnostic imaging , Pneumonia, Viral/mortality , Pneumonia, Viral/virology , Retrospective Studies , Sex Factors
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