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10.1177/00369330211027447 http://scihub22266oqcxt.onion/10.1177/00369330211027447 34176342!ä!34176342 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Scott+Med+J 2021 ; 66 (3): 101-107 Nephropedia Template TP {{tp|p=34176342|t=2021. Chest x-ray scoring as a predictor of COVID-19 disease; correlation with comorbidities and in-hospital mortality |pdf=|usr=}}{{34176342}} gab.com Text Chest x-ray scoring as a predictor of COVID-19 disease; correlation with comorbidities and in-hospital mortality JO: Scott Med J http://www.kidney.de/pget.php?&tw=1&pmid=34176342 #FOAvip OBJECTIVES: To devise a novel, simple chest x-ray (CXR) scoring system which would help in prognosticating the disease severity and ability to predict comorbidities and in-hospital mortality. METHODS: We included a total of 343 consecutive hospitalised patients with COVID-19 in this study. The chest x-rays of these patients were scored retrospectively by three radiologists independently. We divided CXR in to six zones (right upper, mid & lower and left, upper mid & lower zones). We scored each zone as- 0, 1 or 2 as follows- if that zone was clear (0) Ground glass opacity (1) or Consolidation (2). A total of score from 0 to 12 could be obtained. RESULTS: A CXR score cut off >/=3 independently predicted mortality. Along with a relatively higher NPV >/=80%, it reinforced the importance of CXR score is a screening tool to triage patients according to risk of mortality. CONCLUSIONS: We propose that Pennine score is a simple tool which can be adapted by various countries, experiencing a large surge in number of patients, to decide which patient would need a tertiary Hospital referral/admission as opposed to patients that can be managed locally or at basic/primary care hospitals. Twit Text FOAVip Chest x-ray scoring as a predictor of COVID-19 disease; correlation with comorbidities and in-hospital mortality ????Scott Med J http://www.kidney.de/pget.php?&tw=1&pmid=34176342 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34176342 #FOAvip English Wikipedia <ref>{{Cite pmid|34176342}}</ref> Chest x-ray scoring as a predictor of COVID-19 disease; correlation with comorbidities and in-hospital mortality #MMPMID34176342 Singh A; Lim YH; Annamalaisamy R; Koteyar SS; Chandran S; Kanodia AK; Khanna N Scott Med J 2021[Aug]; 66 (3): 101-107 PMID34176342show ga OBJECTIVES: To devise a novel, simple chest x-ray (CXR) scoring system which would help in prognosticating the disease severity and ability to predict comorbidities and in-hospital mortality. METHODS: We included a total of 343 consecutive hospitalised patients with COVID-19 in this study. The chest x-rays of these patients were scored retrospectively by three radiologists independently. We divided CXR in to six zones (right upper, mid & lower and left, upper mid & lower zones). We scored each zone as- 0, 1 or 2 as follows- if that zone was clear (0) Ground glass opacity (1) or Consolidation (2). A total of score from 0 to 12 could be obtained. RESULTS: A CXR score cut off >/=3 independently predicted mortality. Along with a relatively higher NPV >/=80%, it reinforced the importance of CXR score is a screening tool to triage patients according to risk of mortality. CONCLUSIONS: We propose that Pennine score is a simple tool which can be adapted by various countries, experiencing a large surge in number of patients, to decide which patient would need a tertiary Hospital referral/admission as opposed to patients that can be managed locally or at basic/primary care hospitals. |*Radiography, Thoracic/methods/statistics & numerical data[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/diagnosis/*diagnostic imaging/mortality[MESH] |Comorbidity[MESH] |Female[MESH] |Hospital Mortality[MESH] |Humans[MESH] |Length of Stay[MESH] |Male[MESH] |Middle Aged[MESH] |Predictive Value of Tests[MESH] |Prognosis[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH]Chest x-ray scoring as a predictor of COVID-19 disease; correlation wi(epmc).pdf DeepDyve Pubget Overpricing