Examining the Concordance in the Documented Pressure Injury Site, Stage, and Count in Medical Information Mart for Intensive Care-III

2021 ◽  
Vol 12 (04) ◽  
pp. 897-909
Author(s):  
Wenhui Zhang ◽  
Mani Sotoodeh ◽  
Joyce C. Ho ◽  
Roy L. Simpson ◽  
Vicki S. Hertzberg
Keyword(s):  
Intensive Care ◽  
Medical Information ◽  
Patient Characteristics ◽  
International Classification Of Diseases ◽  
Quality Analysis ◽  
Clinical Notes ◽  
Documentation Quality ◽  
Chi Squared ◽  
Pressure Injury ◽  
Patients At Risk

Abstract Objectives This study aimed to compare the concordance of pressure injury (PI) site, stage, and count documented in electronic health records (EHRs); explore if PI count during each patient hospitalization is consistent based on PI site or stage count in the diagnosis or chart event records; and examine if discrepancies in PI count were associated with patient characteristics. Methods Hospitalization records with the International Classification of Diseases ninth edition (ICD-9) codes, chart events from two systems (CareVue, MetaVision), and clinical notes on PI were extracted from the Medical Information Mart for Intensive Care (MIMIC)-III database. PI site and stage counts from individual hospitalization were computed. Hospitalizations with the same or different counts of site and stage according to ICD-9 codes (site and stage), CareVue (site and stage), or MetaVision (stage) charts were defined as consistent or discrepant reporting. Chi-squared, independent t-, and Kruskal–Wallis tests were examined if the count discrepancy was associated with patient characteristics. ICD-9 codes and charts were also compared for people with one site or stage. Results A total of 31,918 hospitalizations had PI data. Within hospitalizations with ICD-9-coded sites and stages, 55.9% reported different counts. Within hospitalizations with CareVue charts on PI, 99.3% reported the same count. For hospitalizations with stages based on ICD-9 codes or MetaVision chart data, only 42.9% reported the same count. Discrepancies in counts were consistently and significantly associated with variables including PI recording in clinical notes, dead/hospice at discharge, more caregivers, longer hospitalization or intensive care unit stays, and more days to first transfer. Discrepancies between ICD-9 code and chart values on the site and stage were also reported. Conclusion Patient characteristics associated with PI count discrepancies identified patients at risk of having discrepant PI counts or worse outcomes. PI documentation quality could be improved with better communication, care continuity, and integrity. Clinical research using EHRs should adopt systematic data quality analysis to inform limitations.

scholarly journals Association of fluid balance with mortality in sepsis is modified by admission hemoglobin levels: A large database study

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252629
Author(s):  
Sandra M. Y. Tan ◽  
Yuan Zhang ◽  
Ying Chen ◽  
Kay Choong See ◽  
Mengling Feng
Keyword(s):  
Intensive Care ◽  
Fluid Balance ◽  
Medical Information ◽  
International Classification Of Diseases ◽  
Sensitivity Analyses ◽  
Positive Fluid Balance ◽  
Logistic Regression Models ◽  
Icu Admission ◽  
Increased Risk ◽  
Moderate Anemia

Purpose Sepsis involves a dysregulated inflammatory response to infection that leads to organ dysfunction. Early fluid resuscitation has been advocated by the Surviving Sepsis Campaign guidelines. However, recent studies have shown that a positive fluid balance is associated with increased mortality in septic patients. We investigated if haemoglobin levels on admission to the intensive care unit (ICU) could modify the association of fluid balance with mortality in patients with sepsis. We hypothesized that with increasing fluid balance, patients with moderate anemia (hemoglobin 7-10g/dL) would have poorer outcomes compared to those without moderate anemia (hemoglobin >10g/dL). Materials and methods This retrospective study utilized the Medical Information Mart for Intensive Care-III (MIMIC-III) database. Patients with sepsis, as identified by the International Classification of Diseases, 9th, Clinical Modification codes, were studied. Patients were stratified into those with and without moderate anemia at ICU admission. We investigated the influence of fluid balance measured within 24 hours of ICU admission on 28-day mortality for both patient groups using multivariable logistic regression models. Subgroup and sensitivity analyses were conducted. Results 8,132 patients (median age 68.6 years, interquartile range 55.1–79.8 years; 52.8% female) were included. Increasing fluid balance (in L) was associated with a significantly decreased risk of 28-day mortality in patients without moderate anemia (OR 0.91, 95%CI 0.84–0.97, p = 0.005, at 6-hour). Conversely, increasing fluid balance was associated with a significantly increased risk of 28-day mortality in patients with moderate anemia (OR 1.05, 95% CI 1.01–1.1, p = 0.022, at 24-hour). Interaction analyses showed that mortality was highest when haemoglobin decreased in patients with moderate anemia who had the most positive fluid balance. Multiple subgroups and sensitivity analyses yielded consistent results. Conclusions In septic patients admitted to ICU, admission hemoglobin levels modified the association between fluid balance and mortality and are an important consideration for future fluid therapy trials.

scholarly journals Evaluation of comprehensiveness and reliability of electronic health records concerning resuscitation efforts within academic intensive care units: a retrospective chart analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Michael S. Dittmar ◽  
Sabrina Zimmermann ◽  
Marcus Creutzenberg ◽  
Sylvia Bele ◽  
Diane Bitzinger ◽  
...  
Keyword(s):  
Intensive Care ◽  
Quantitative Measure ◽  
University Hospital ◽  
Data Consistency ◽  
Quality Analysis ◽  
Medical Documentation ◽  
Time Interval ◽  
Data Reliability ◽  
Starting Time ◽  
Documentation Quality

Abstract Background According to the literature, the validity and reliability of medical documentation concerning episodes of cardiopulmonary resuscitation (CPR) is suboptimal. However, little is known about documentation quality of CPR efforts during intensive care unit (ICU) stays in electronic patient data management systems (PDMS). This study analyses the reliability of CPR-related medical documentation within the ICU PDMS. Methods In a retrospective chart analysis, PDMS records of three ICUs of a single university hospital were searched over 5 y for CPR check marks. Respective datasets were analyzed concerning data completeness and data consistency by comparing the content of three documentation forms (physicians’ log, nurses’ log, and CPR incident form), as well as physiological and therapeutic information of individual cases, for missing data and plausibility of CPR starting time and duration. To compare data reliability and completeness, a quantitative measure, the Consentaneity Index (CI), is proposed. Results One hundred sixty-five datasets were included into the study. In 9% (n = 15) of cases, there was neither information on the time points of CPR initiation nor on CPR duration available in any data source. Data on CPR starting time and duration were available from at least two data sources in individual cases in 54% (n = 90) and 45% (n = 74), respectively. In these cases, the specifications of CPR starting time did differ by a median ± interquartile range of 10.0 ± 18.5 min, CPR duration by 5.0 ± 17.3 min. The CI as a marker of data reliability revealed a low consistency of CPR documentation in most cases, with more favorable results, if the time interval between the CPR episode and the time of documentation was short. Conclusions This study reveals relevant proportions of missing and inconsistent data in electronic CPR documentation in the ICU setting. The CI is suggested as a tool for documentation quality analysis and monitoring of improvements.

scholarly journals Development and Validation of an Interpretable 3-day Intensive Care Unit Readmission Prediction Model Using Explainable Boosting Machines

2021 ◽  
Author(s):  
Stefan Hegselmann ◽  
Christian Ertmer ◽  
Thomas Volkert ◽  
Antje Gottschalk ◽  
Martin Dugas ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Medical Information ◽  
Characteristic Curve ◽  
External Validation ◽  
Simplified Acute Physiology Score ◽  
Gradient Boosting ◽  
Patients At Risk ◽  
High Level

Intensive care unit readmissions are associated with mortality and bad outcomes. Machine learning could help to identify patients at risk to improve discharge decisions. However, many models are black boxes, so that dangerous properties might remain unnoticed. In this study, an inherently interpretable model for 3-day ICU readmission prediction was developed. We used a retrospective cohort of 15,589 ICU stays and 169 variables collected between 2006 and 2019. A team of doctors inspected the model, checked the plausibility of each component, and removed problematic parts. Qualitative feedback revealed several challenges for interpretable machine learning in healthcare. The resulting model used 67 features and showed an area under the precision-recall curve of 0.119+/-0.020 and an area under the receiver operating characteristic curve of 0.680+/-0.025. This is on par with state-of-the-art gradient boosting machines and outperforms the Simplified Acute Physiology Score II. External validation with the Medical Information Mart for Intensive Care database version IV confirmed our findings. Hence, a machine learning model for readmission prediction with a high level of human control is feasible without sacrificing performance.

A Comprehensive Model for Medical Information Processing

1983 ◽  
Vol 22 (03) ◽  
pp. 124-130 ◽  
Author(s):  
J. H. Bemmel
Keyword(s):  
Intensive Care ◽  
Information Processing ◽  
Medical Information ◽  
Computer Applications ◽  
Human Interaction ◽  
Comprehensive Model ◽  
Computers In Medicine ◽  
Medical Information Systems ◽  
Research And Education ◽  
The Many

At first sight, the many applications of computers in medicine—from payroll and registration systems to computerized tomography, intensive care and diagnostics—do make a rather chaotic impression. The purpose of this article is to propose a scheme or working model for putting medical information systems in order. The model comprises six »levels of complexity«, running parallel to dependence on human interaction. Several examples are treated to illustrate the scheme. The reason why certain computer applications are more frequently used than others is analyzed. It has to be strongly considered that the differences in complexity and dependence on human involvement are not accidental but fundamental. This has consequences for research and education which are also discussed.

A cluster-controlled clinical trial of two prophylactic silicone sacral dressings to prevent sacral pressure injuries in critically ill patients

2019 ◽  
pp. 21-26 ◽  
Author(s):  
Monica Stankiewicz ◽  
Jodie Gordon ◽  
Joel Dulhunty ◽  
Wendy Brown ◽  
Hamish Pollock ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Intensive Care ◽  
Similar Efficacy ◽  
Care Patient ◽  
Controlled Clinical Trial ◽  
Cost Difference ◽  
Increased Risk ◽  
Pressure Injury ◽  
Risk Patients ◽  
The Mean

Objective Patients in the intensive care unit (ICU) have increased risk of pressure injury (PI) development due to critical illness. This study compared two silicone dressings used in the Australian ICU setting for sacral PI prevention. Design A cluster-controlled clinical trial of two sacral dressings with four alternating periods of three months' duration. Setting A 10-bed general adult ICU in outer-metropolitan Brisbane, Queensland, Australia. Participants Adult participants who did not have a sacral PI present on ICU admission and were able to have a dressing applied for more than 24 hours without repeated dislodgement or soiling in a 24-hour period (>3 times). Interventions Dressing 1 (Allevyn Gentle Border Sacrum™, Smith & Nephew) and Dressing 2 (Mepilex Border Sacrum™, Mölnlycke). Main outcomes measures The primary outcome was the incidence of a new sacral PI (stage 1 or greater) per 100 dressing days in the ICU. Secondary outcomes were the mean number of dressings per patient, the cost difference of dressings to prevent a sacral PI and product integrity. Results There was no difference in the incidence of a new sacral PI (0.44 per 100 dressing days for both products, p = 1.00), the mean number of dressings per patient per day (0.50 for both products, p = 0.51) and product integrity (85% for Dressing 1 and 84% for Dressing 2, p = 0.69). There was a dressing cost difference per patient (A$10.29 for Dressing 1 and A$28.84 for Dressing 2, p < 0.001). Conclusions Similar efficacy, product use and product integrity, but differential cost, were observed for two prophylactic silicone dressings in the prevention of PIs in the intensive care patient. We recommend the use of sacral prophylactic dressings for at-risk patients, with the choice of product based on ease of application, clinician preference and overall cost-effectiveness of the dressing.

scholarly journals A quality analysis of the YouTube video content on meniscus repair surgery

2021 ◽  
Vol 9 (2_suppl) ◽  
pp. 2325967121S0001
Author(s):  
François Sigonney ◽  
Camille Steltzlen ◽  
Pierre Alban Bouché ◽  
Nicolas Pujol
Keyword(s):  
Medical Information ◽  
Cruciate Ligament ◽  
Meniscus Repair ◽  
Quality Analysis ◽  
Video Content ◽  
Source Type ◽  
Keywords Meniscus ◽  
Youtube Videos ◽  
Anterior Cruciate

Objectives: The Internet, especially YouTube, is an important and growing source of medical information. The content of this information is poorly evaluated. The objective of this study was to analyze the quality of YouTube video content on meniscus repair. The hypothesis was that this source of information is not relevant for patients. Methods: A YouTube search was carried out using the keywords "meniscus repair". Videos had to have had more than 10,000 views to be included. The videos were analyzed by two evaluators. Various features of the videos were recorded (number of views, date of publication, "likes", "don’t likes", number of comments, source, type of content and the origin of the video). The quality of the video content was analyzed by two validated information system scores: the JAMA benchmark score (0 to 4) and the Modified DISCERN score (0 to 5). A specific meniscus repair score (MRSS scored out of 22) was developed for this study, in the same way that a specific score has been developed for other similar studies (anterior cruciate ligament, spine, etc.). Results: Forty-four (44) videos were included in the study. The average number of views per video was 180,100 (± 222,000) for a total number of views of 7,924,095. The majority of the videos were from North America (90.9%). In most cases, the source (uploader) that published the video was a doctor (59.1%). A manufacturer, an institution and a non-medical source were the other sources. The content actually contained information on meniscus repair in only 50% of the cases. The mean scores for the JAMA benchmark, MD score and MRSS were 1.6/4± 0.75, 1.2/5 ± 1.02 and 4.5/22 (± 4.01) respectively. No correlation was found between the number of views and the quality of the videos. The quality of videos from medical sources was not superior to those from other sources. Conclusion: The content of YouTube videos on meniscus repair is of very low quality. Physicians should inform patients and, more importantly, contribute to the improvement of these contents.

scholarly journals Comparing Patient Characteristics, Clinical Outcomes, and Biomarkers of Severe Asthma Patients in Taiwan

Biomedicines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 764
Author(s):  
Shih-Lung Cheng ◽  
Kuo-Chin Chiu ◽  
Hsin-Kuo Ko ◽  
Diahn-Warng Perng ◽  
Hao-Chien Wang ◽  
...  
Keyword(s):  
Severe Asthma ◽  
Clinical Characteristics ◽  
Linear Models ◽  
Patient Characteristics ◽  
Emergency Department Visits ◽  
Receiver Operating Characteristic Curves ◽  
Increased Risk ◽  
Significant Difference ◽  
Asthma Patients ◽  
Patients At Risk

Purpose: To understand the association between biomarkers and exacerbations of severe asthma in adult patients in Taiwan. Materials and Methods: Demographic, clinical characteristics and biomarkers were retrospectively collected from the medical charts of severe asthma patients in six hospitals in Taiwan. Exacerbations were defined as those requiring asthma-specific emergency department visits/hospitalizations, or systemic steroids. Enrolled patients were divided into: (1) those with no exacerbations (non-exacerbators) and (2) those with one or more exacerbations (exacerbators). Receiver operating characteristic curves were used to determine the optimal cut-off value for biomarkers. Generalized linear models evaluated the association between exacerbation and biomarkers. Results: 132 patients were enrolled in the study with 80 non-exacerbators and 52 exacerbators. There was no significant difference in demographic and clinical characteristics between the two groups. Exacerbators had significantly higher eosinophils (EOS) counts (367.8 ± 357.18 vs. 210.05 ± 175.24, p = 0.0043) compared to non-exacerbators. The optimal cut-off values were 292 for EOS counts and 19 for the Fractional exhaled Nitric Oxide (FeNO) measure. Patients with an EOS count ≥ 300 (RR = 1.88; 95% CI, 1.26–2.81; p = 0.002) or FeNO measure ≥ 20 (RR = 2.10; 95% CI, 1.05–4.18; p = 0.0356) had a significantly higher risk of exacerbation. Moreover, patients with both an EOS count ≥ 300 and FeNO measure ≥ 20 had a significantly higher risk of exacerbation than those with lower EOS count or lower FeNO measure (RR = 2.16; 95% CI, 1.47–3.18; p = < 0.0001). Conclusions: Higher EOS counts and FeNO measures were associated with increased risk of exacerbation. These biomarkers may help physicians identify patients at risk of exacerbations and personalize treatment for asthma patients.

scholarly journals Perioperative Complications of Surgery for Degenerative Cervical Myelopathy: A Comparison Between 3 Procedures

2021 ◽  
pp. 219256822199830
Author(s):  
Mohamed Kamal Mesregah ◽  
Blake Formanek ◽  
John C. Liu ◽  
Zorica Buser ◽  
Jeffrey C. Wang
Keyword(s):  
Propensity Score ◽  
Cervical Myelopathy ◽  
Perioperative Complications ◽  
International Classification Of Diseases ◽  
Significance Level ◽  
Chi Squared ◽  
Retrospective Comparative Study ◽  
Posterior Laminectomy ◽  
Degenerative Cervical Myelopathy ◽  
New Onset

Study Design: Retrospective comparative study. Objectives: To compare the perioperative complications of propensity score-matched cohorts of patients with degenerative cervical myelopathy (DCM), who were treated with anterior cervical discectomy and fusion (ACDF), posterior laminectomy with fusion, or laminoplasty. Methods: The Humana PearlDiver Patient Record Database was queried using the International Classification of Diseases (ICD-9 and ICD-10) and the Current Procedural Terminology (CPT) codes. Propensity score-matched analysis was done using multiple Chi-squared tests with Bonferroni correction of the significance level. Results: Cohorts of 11,790 patients who had ACDF, 2,257 patients who had posterior laminectomy with fusion, and 477 patients who had laminoplasty, were identified. After propensity score matching, all the 3 groups included 464 patients. The incidence of dysphagia increased significantly following ACDF compared to laminoplasty, P < 0.001, and in laminectomy with fusion compared to laminoplasty, P < 0.001. The incidence of new-onset cervicalgia was higher in ACDF compared to laminoplasty, P = 0.005, and in laminectomy with fusion compared to laminoplasty, P = 0.004. The incidence of limb paralysis increased significantly in laminectomy with fusion compared to ACDF, P = 0.002. The revision rate at 1 year increased significantly in laminectomy with fusion compared to laminoplasty, P < 0.001, and in ACDF compared to laminoplasty, P < 0.001. Conclusions: The incidence of dysphagia following laminectomy with fusion was not different compared to ACDF. Postoperative new-onset cervicalgia and revisions were least common in laminoplasty. The highest rate of postoperative limb paralysis was noticed in laminectomy with fusion.

scholarly journals Completeness of the operating room to intensive care unit handover: a matter of time?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fabian Dusse ◽  
Johanna Pütz ◽  
Andreas Böhmer ◽  
Mark Schieren ◽  
Robin Joppich ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Information Transfer ◽  
Time Pressure ◽  
Intraoperative Complications ◽  
Patient Characteristics ◽  
Information Loss ◽  
Ensure Patient Safety ◽  
Underlying Diseases

Abstract Background Handovers of post-anesthesia patients to the intensive care unit (ICU) are often unstructured and performed under time pressure. Hence, they bear a high risk of poor communication, loss of information and potential patient harm. The aim of this study was to investigate the completeness of information transfer and the quantity of information loss during post anesthesia handovers of critical care patients. Methods Using a self-developed checklist, including 55 peri-operative items, patient handovers from the operation room or post anesthesia care unit to the ICU staff were observed and documented in real time. Observations were analyzed for the amount of correct and completely transferred patient data in relation to the written documentation within the anesthesia record and the patient’s chart. Results During a ten-week study period, 97 handovers were included. The mean duration of a handover was 146 seconds, interruptions occurred in 34% of all cases. While some items were transferred frequently (basic patient characteristics [72%], surgical procedure [83%], intraoperative complications [93.8%]) others were commonly missed (underlying diseases [23%], long-term medication [6%]). The completeness of information transfer is associated with the handover’s duration [B coefficient (95% CI): 0.118 (0.084-0.152), p<0.001] and increases significantly in handovers exceeding a duration of 2 minutes (24% ± 11.7 vs. 40% ± 18.04, p<0.001). Conclusions Handover completeness is affected by time pressure, interruptions, and inappropriate surroundings, which increase the risk of information loss. To improve completeness and ensure patient safety, an adequate time span for handover, and the implementation of communication tools are required.

scholarly journals Should the CIWA-Ar be the standard monitoring strategy for alcohol withdrawal syndrome in the intensive care unit?

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Tessa L. Steel ◽  
Shewit P. Giovanni ◽  
Sarah C. Katsandres ◽  
Shawn M. Cohen ◽  
Kevin B. Stephenson ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Alcohol Withdrawal ◽  
Withdrawal Syndrome ◽  
Alcohol Withdrawal Syndrome ◽  
Patient Characteristics ◽  
Response To Treatment ◽  
Alternative Measure ◽  
Icu Patients ◽  
Verbal Responses

Abstract Background The Clinical Institute Withdrawal Assessment for Alcohol-Revised (CIWA-Ar) is commonly used in hospitals to titrate medications for alcohol withdrawal syndrome (AWS), but may be difficult to apply to intensive care unit (ICU) patients who are too sick or otherwise unable to communicate. Objectives To evaluate the frequency of CIWA-Ar monitoring among ICU patients with AWS and variation in CIWA-Ar monitoring across patient demographic and clinical characteristics. Methods The study included all adults admitted to an ICU in 2017 after treatment for AWS in the Emergency Department of an academic hospital that standardly uses the CIWA-Ar to assess AWS severity and response to treatment. Demographic and clinical data, including Richmond Agitation-Sedation Scale (RASS) assessments (an alternative measure of agitation/sedation), were obtained via chart review. Associations between patient characteristics and CIWA-Ar monitoring were tested using logistic regression. Results After treatment for AWS, only 56% (n = 54/97) of ICU patients were evaluated using the CIWA-Ar; 94% of patients had a documented RASS assessment (n = 91/97). Patients were significantly less likely to receive CIWA-Ar monitoring if they were intubated or identified as Black. Conclusions CIWA-Ar monitoring was used inconsistently in ICU patients with AWS and completed less often in those who were intubated or identified as Black. These hypothesis-generating findings raise questions about the utility of the CIWA-Ar in ICU settings. Future studies should assess alternative measures for titrating AWS medications in the ICU that do not require verbal responses from patients and further explore the association of race with AWS monitoring.

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