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2.
Injury ; 51(12): 2811-2815, 2020 Dec.
Article in English | MEDLINE | ID: mdl-32958345

ABSTRACT

INTRODUCTION: In Iran, like most other countries, COVID-19 has had a deep impact on children's lives. Our hypothesis was that, a significant change in the number of pediatric injuries has happened in trauma centers. In the current study, we intend to identify the possible epidemiological shift in pediatric fracture patterns, by comparing the data from 'COVID-19 era' and the mean data from the past 2 years. To the best of our knowledge there are only few reports on epidemiology of pediatric fractures during the COVID-19 outbreak. METHODS: Data are reported in two sections. In the descriptive section, epidemiological data regarding pediatric fractures referred to Taleghani tertiary trauma center, including demographics, distribution curves, etiologies and fracture types are presented during the 'COVID era', from 1 March 2020 to 15 April 2020. In the comparative section, the aforementioned data are compared with mean data from the past 2 years, the 'non-COVID era'. RESULTS: Altogether 117 of the 288 trauma children (40.62%) had a fractured bone (145 fractures). Patients were mostly boys, with a mean age of 9.87 years (SD=5.27). The three most common fracture types in children included distal radius, mid-forearm and humeral supracondylar fractures. Compared to non-COVID era, the number of pediatric trauma admissions dropped from 589 to 288. No significant change happened in the mean age, male/female ratio and percentage of motor vehicle accidents. Proportion of proximal humeral, proximal forearm, carpal, and hand fractures declined. The number of open fractures significantly dropped (from 12 to 2). CONCLUSIONS: In Iran, overall trend of pediatric trauma has been decreasing during the outbreak; but the lack of reduction in proportion of accidents may pose an alarm that an effective lock-down has not been imposed. This study has implications as to preparing appropriate resources particular to common "COVID era fractures".


Subject(s)
Accidents, Traffic/statistics & numerical data , COVID-19/epidemiology , Communicable Disease Control/standards , Trauma Centers/statistics & numerical data , Wounds and Injuries/epidemiology , Accidents, Traffic/trends , Adolescent , COVID-19/prevention & control , Child , Child, Preschool , Female , Humans , Iran/epidemiology , Male , Pandemics/prevention & control , Patient Admission/statistics & numerical data , Retrospective Studies , Sex Factors , Trauma Centers/standards , Trauma Centers/trends , Wounds and Injuries/etiology
3.
Nurs Crit Care ; 24(6): 375-380, 2019 11.
Article in English | MEDLINE | ID: mdl-30924584

ABSTRACT

BACKGROUND: The Acute Physiology and Chronic Health Evaluation (APACHE) II is still commonly used as an index of illness severity in patients admitted to intensive care unit (ICU) and has been validated for many research and clinical audit purposes. AIMS AND OBJECTIVES: To investigate the diagnostic value of the APACHE II score for predicting mortality rate of critically ill patients. DESIGN: This was a single-centre, retrospective study of 200 Iranian patients admitted in the medical-surgical adult ICU from June 2012 to May 2013. METHODS: Demographic data, pre-existing comorbidities and variables required for calculating the APACHE II score were recorded. Receiver operating characteristic (ROC) curves were constructed, and the area under the ROC curves was calculated to assess the predictive value of the APACHE II score. RESULTS: Of the 200 patients with a mean age of 55·27 ± 21·59 years enrolled in the study, 112 (54%) were admitted in the medical ICU and 88 (46%) in the surgical ICU. Finally, 116 patients (58%) died, and 84 patients (42%) survived. The overall actual and predicted ICU mortality were 58% and 25·16%, respectively. The mean APACHE II score was 16·31 in total patients, 17·78 in medical ICU and 14·45 in surgical ICU patients (P = 0·003). Overall, the APACHE II score had the highest prognostic value for predicting the mortality rate of critically ill patients with an area under the cure of 0·88, and with a cut-off value of 15, the APACHE II score predicted mortality of patients with a sensitivity of 85·3%, a specificity of 77·4%, a positive predictive value of 83·9% and a negative predictive value of 73·9%. CONCLUSION: This study shows that an APACHE II score of 15 provides the best diagnostic accuracy to predict mortality of critically ill patients. Our observed mortality rate was greater than the predicted death rate, in comparison to the other prestigious centres in the world. Therefore, it appears that we must improve our intensive care to reduce mortality. RELEVANCE TO CLINICAL PRACTICE: There is a need to create a suitable scoring system to predict the mortality rate of critically ill patients in accordance with the advanced technological equipment and experienced physicians and nurses in that ICU.


Subject(s)
APACHE , Critical Illness , Hospital Mortality/trends , Intensive Care Units/statistics & numerical data , Predictive Value of Tests , Female , Humans , Iran , Male , Middle Aged , Prognosis , Retrospective Studies
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