Modeling of PACU adult high-activity delirium prediction
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A highly active and active technology, applied in patient-specific data, health index calculation, medical informatics, etc., can solve the problems of strong destructiveness, low compliance, restlessness in PDHA patients, etc., and achieve the effect of good prediction efficiency.
Pending Publication Date: 2021-01-12
THE FIRST AFFILIATED HOSPITAL OF WENZHOU MEDICAL UNIV
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[0004] Hyperactive delirium (PDHA) in the anesthesia recovery unit (PACU), that is, early postoperative hyperactive delirium, is a common and serious complication after major surgery. PDHA patients are often restless, destructive, and compliant. Low, leading to more difficult postoperative treatment and care, which is positively related to prolonged hospital stay, morbidity, mortality and increased need for hospitalization, and increases the chance of injury to patients or medical teams
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Embodiment 1
[0021] Example 1 Modeling of prediction of hyperactive delirium in PACU adults,
[0022] The first step is to select patients who were admitted to the hospital for surgical treatment at the same time and then admitted to the PACU for observation;
[0023] In the second step, according to the diagnostic criteria of PDHA, the patients were divided into two groups: PDHA group and non-PDHA group;
[0024] The third step is to retrospectively collect the data of the two groups of patients using the Access database from the time of the patient's postoperative admission to the PACU to the period when he was discharged from the PACU;
[0025] In the fourth step, the collected research data is randomly matched by stata15 software according to the ratio of 2:1, and divided into training set data and verification set data;
[0026] The fifth step is to use R language for statistics and analysis, and use stepwise logistic regression to screen risk factors, so as to construct a prediction...
Embodiment 2
[0037] Embodiment 2 refers to the appended Figure 1-6 As shown, the present invention is a modeling of PACU adult hyperactive delirium prediction,
[0038] 1. Research object
[0039] (1) Case source
[0040] Adult patients who were admitted to the PACU from January 1, 2018 to December 31, 2019 and underwent postoperative observation were selected from the calendar database and the operating room anesthesia electronic record database.
[0041] (2) Inclusion criteria
[0042] Inclusion criteria: ①Postoperative admission to PACU for observation; ②Age ≧18 years old; ③No cognitive dysfunction before operation; ④Can communicate normally before operation, and can cooperate with the completion of various scores;
[0043] (3) Exclusion criteria
[0044] Exclusion criteria: ① age < 18 years; ② patients with brain parenchymal injury; ③ preoperative cognitive impairment; ④ previous history of mental illness; ⑤ incomplete data records.
[0045] 2. Diagnostic criteria
[0046] Using...
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Abstract
The invention provides modeling of PACU adult high-activity delirium prediction. Patients who enter a hospital for surgical treatment in the same time period and then enter a PACU for observation areselected; according to the diagnosis standard of PDHA, the patients are set into two groups: a PDHA group and a non-PDHA group; the observation time is from the period when each patient enters the PACU to the period when the patient leaves the PACU after the operation, and two sets of patient data are collected in a retrospective mode through an Access database; the sorted and collected research data are randomly matched by stata15 software according to a ratio of 2:1, and the research data is divided into training set data and verification set data; statistics and analysis are carried out byusing an R language, and risk factors are screened by using step-by-step logistic regression, so that an adult postoperative early-stage high-activity delirium prediction model is constructed. The method has the advantages that the constructed PACU adult high-activity delirium prediction model is good in prediction efficiency, and visual and graphical screening of adult high-activity delirium after PACU operation can be achieved.
Description
technical field [0001] The present invention relates to a model for prediction of hyperactive delirium in PACU adults. Background technique [0002] Delirium, defined as: An organic brain syndrome of nonspecific etiology characterized by disturbances in simultaneous consciousness and attention, perception, thinking, memory, psychomotor behavior, mood, and sleep-wake schedule; is Variable, ranging in severity from mild to very severe disturbances in attention (ie, decreased ability to direct, concentrate, sustain, and shift attention) and awareness (decreased orientation to the environment). Delirium has attracted the attention of many researchers worldwide over the past decade and is the most common neuropsychiatric syndrome found in acute care settings, currently published in the 2013 fifth edition of the Association of American Psychiatric Association's Diagnosis and Statistics of Mental Disorders The manual is generally considered the gold standard for the definition and...
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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H10/60
CPCG16H50/30G16H10/60
Inventor 涂盈盈
Owner THE FIRST AFFILIATED HOSPITAL OF WENZHOU MEDICAL UNIV
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