Frailty and In-Hospital Mortality Risk Using EHR Nursing Data

2021 ◽  
pp. 109980042110605
Author(s):  
Deborah Lekan ◽  
Thomas P. McCoy ◽  
Marjorie Jenkins ◽  
Somya Mohanty ◽  
Prashanti Manda

Purpose The purpose of this study was to evaluate four definitions of a Frailty Risk Score (FRS) derived from EHR data that includes combinations of biopsychosocial risk factors using nursing flowsheet data or International Classification of Disease, 10th revision (ICD-10) codes and blood biomarkers and its predictive properties for in-hospital mortality in adults ≥50 years admitted to medical-surgical units. Methods In this retrospective observational study and secondary analysis of an EHR dataset, survival analysis and Cox regression models were performed with sociodemographic and clinical covariates. Integrated area under the ROC curve (iAUC) across follow-up time based on Cox modeling was estimated. Results The 46,645 patients averaged 1.5 hospitalizations (SD = 1.1) over the study period and 63.3% were emergent admissions. The average age was 70.4 years (SD = 11.4), 55.3% were female, 73.0% were non-Hispanic White (73.0%), mean comorbidity score was 3.9 (SD = 2.9), 80.5% were taking 1.5 high risk medications, and 42% recorded polypharmacy. The best performing FRS-NF-26-LABS included nursing flowsheet data and blood biomarkers (Adj. HR = 1.30, 95% CI [1.28, 1.33]), with good accuracy (iAUC = .794); the reduced model with age, sex, and FRS only demonstrated similar accuracy. The poorest performance was the ICD-10 code-based FRS. Conclusion The FRS captures information about the patient that increases risk for in-hospital mortality not accounted for by other factors. Identification of frailty enables providers to enhance various aspects of care, including increased monitoring, applying more intensive, individualized resources, and initiating more informed discussions about treatments and discharge planning.

2021 ◽  
pp. 088506662110614
Author(s):  
Mohinder R. Vindhyal ◽  
Liuqiang (Kelsey) Lu ◽  
Sagar Ranka ◽  
Prakash Acharya ◽  
Zubair Shah ◽  
...  

Purpose: Septic shock (SS) manifests with profound circulatory and cellular metabolism abnormalities and has a high in-hospital mortality (25%-50%). Congestive heart failure (CHF) patients have underlying circulatory dysfunction and compromised cardiac reserve that may place them at increased risk if they develop sepsis. Outcomes in patients with CHF who are admitted with SS have not been well studied. Materials and Method: Retrospective cross sectional secondary analysis of the Nationwide Readmission Database (NRD) for 2016 and 2017. ICD-10 codes were used to identify patients with SS during hospitalization, and then the cohort was dichotomized into those with and without an underlying diagnosis of CHF. Results: Propensity match analyses were performed to evaluate in-hospital mortality and clinical cardiovascular outcomes in the 2 groups. Cardiogenic shock patients were excluded from the study. A total of 578,629 patients with hospitalization for SS were identified, of whom 19.1% had a coexisting diagnosis of CHF. After propensity matching, 81,699 individuals were included in the comparative groups of SS with CHF and SS with no CHF. In-hospital mortality (35.28% vs 32.50%, P < .001), incidence of ischemic stroke (2.71% vs 2.53%, P = .0032), and acute kidney injury (69.9% vs 63.9%, P = .001) were significantly higher in patients with SS and CHF when compared to those with SS and no CHF. Conclusions: This study identified CHF as a strong adverse prognosticator for inpatient mortality and several major adverse clinical outcomes. Study findings suggest the need for further investigation into these findings’ mechanisms to improve outcomes in patients with SS and underlying CHF.


2020 ◽  
Vol 14 ◽  
pp. 175346662093687
Author(s):  
Li-Chung Chiu ◽  
Shih-Wei Lin ◽  
Pi-Hua Liu ◽  
Li-Pang Chuang ◽  
Chih-Hao Chang ◽  
...  

Background: Disease severity may change in the first week after acute respiratory distress syndrome (ARDS) onset. The aim of this study was to evaluate whether the reclassification of disease severity after 48 h (i.e. day 3) of ARDS onset could help in predicting mortality and determine factors associated with ARDS persistence and mortality. Methods: We performed a secondary analysis of a 3-year prospective, observational cohort study of ARDS in a tertiary care referral center. Disease severity was reclassified after 48 h of enrollment, and cases that still fulfilled the Berlin criteria were regarded as nonresolving ARDS. Results: A total of 1034 ARDS patients were analyzed. Overall hospital mortality was 57.7% (56.7%, 57.5%, and 58.6% for patients with initial mild, moderate, and severe ARDS, respectively, p = 0.189). On day 3 reclassification, the hospital mortality rates were as follows: resolved (42.1%), mild (47.9%), moderate (62.4%), and severe ARDS (76.1%) ( p < 0.001). Patients with improving severity on day 3 had lower mortality (48.8%), whereas patients with the same or worsening severity on day 3 had higher mortality (62.7% and 76.3%, respectively). Patients who were older, had lower PaO2/FiO2, or higher positive end-expiratory pressure on day 1 were significantly associated with nonresolving ARDS on day 3. A Cox regression model with ARDS severity as a time-dependent covariate and competing risk analysis demonstrated that ARDS severity was independently associated with hospital mortality, and nonresolving ARDS had significantly increased hazard of death than resolved ARDS ( p < 0.0001). Cumulative mortality curve for ARDS severity comparisons demonstrated significantly different (overall comparison, p < 0.001). Conclusions: Reclassification of disease severity after 48 h of ARDS onset could help to divide patients into subgroups with greater separation in terms of mortality. The reviews of this paper are available via the supplemental material section.


Author(s):  
K. Neumann ◽  
B. Arnold ◽  
A. Baumann ◽  
C. Bohr ◽  
H. A. Euler ◽  
...  

Zusammenfassung Hintergrund Sprachtherapeutisch-linguistische Fachkreise empfehlen die Anpassung einer von einem internationalen Konsortium empfohlenen Änderung der Nomenklatur für Sprachstörungen im Kindesalter, insbesondere für Sprachentwicklungsstörungen (SES), auch für den deutschsprachigen Raum. Fragestellung Ist eine solche Änderung in der Terminologie aus ärztlicher und psychologischer Sicht sinnvoll? Material und Methode Kritische Abwägung der Argumente für und gegen eine Nomenklaturänderung aus medizinischer und psychologischer Sicht eines Fachgesellschaften- und Leitliniengremiums. Ergebnisse Die ICD-10-GM (Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme, 10. Revision, German Modification) und eine S2k-Leitlinie unterteilen SES in umschriebene SES (USES) und SES assoziiert mit anderen Erkrankungen (Komorbiditäten). Die USES- wie auch die künftige SES-Definition der ICD-11 (International Classification of Diseases 11th Revision) fordern den Ausschluss von Sinnesbehinderungen, neurologischen Erkrankungen und einer bedeutsamen intellektuellen Einschränkung. Diese Definition erscheint weit genug, um leichtere nonverbale Einschränkungen einzuschließen, birgt nicht die Gefahr, Kindern Sprach- und weitere Therapien vorzuenthalten und erkennt das ICD(International Classification of Disease)-Kriterium, nach dem der Sprachentwicklungsstand eines Kindes bedeutsam unter der Altersnorm und unterhalb des seinem Intelligenzalter angemessenen Niveaus liegen soll, an. Die intendierte Ersetzung des Komorbiditäten-Begriffs durch verursachende Faktoren, Risikofaktoren und Begleiterscheinungen könnte die Unterlassung einer dezidierten medizinischen Differenzialdiagnostik bedeuten. Schlussfolgerungen Die vorgeschlagene Terminologie birgt die Gefahr, ätiologisch bedeutsame Klassifikationen und differenzialdiagnostische Grenzen zu verwischen und auf wertvolles ärztliches und psychologisches Fachwissen in Diagnostik und Therapie sprachlicher Störungen im Kindesalter zu verzichten.


2021 ◽  
Vol 6 (1) ◽  
pp. e000672
Author(s):  
Ryan Pratt ◽  
Mete Erdogan ◽  
Robert Green ◽  
David Clark ◽  
Amanda Vinson ◽  
...  

BackgroundThe risk of death and complications after major trauma in patients with chronic kidney disease (CKD) is higher than in the general population, but whether this association holds true among Canadian trauma patients is unknown.ObjectivesTo characterize patients with CKD/receiving dialysis within a regional major trauma cohort and compare their outcomes with patients without CKD.MethodsAll major traumas requiring hospitalization between 2006 and 2017 were identified from a provincial trauma registry in Nova Scotia, Canada. Trauma patients with stage ≥3 CKD (estimated glomerular filtration rate <60 mL/min/1.73 m2) or receiving dialysis were identified by cross-referencing two regional databases for nephrology clinics and dialysis treatments. The primary outcome was in-hospital mortality; secondary outcomes included hospital/intensive care unit (ICU) length of stay (LOS) and ventilator-days. Cox regression was used to adjust for the effects of patient characteristics on in-hospital mortality.ResultsIn total, 6237 trauma patients were identified, of whom 4997 lived within the regional nephrology catchment area. CKD/dialysis trauma patients (n=101; 28 on dialysis) were older than patients without CKD (n=4896), with higher rates of hypertension, diabetes, and cardiovascular disease, and had increased risk of in-hospital mortality (31% vs 11%, p<0.001). No differences were observed in injury severity, ICU LOS, or ventilator-days. After adjustment for age, sex, and injury severity, the HR for in-hospital mortality was 1.90 (95% CI 1.33 to 2.70) for CKD/dialysis compared with patients without CKD.ConclusionIndependent of injury severity, patients without CKD/dialysis have significantly increased risk of in-hospital mortality after major trauma.


2021 ◽  
pp. 1-9
Author(s):  
Yue-Hui Yu ◽  
Wei Luo ◽  
Bo Liu ◽  
Wei-Hong Kuang ◽  
Larry Davidson ◽  
...  

Abstract Background Although poverty associated with severe mental illness (SMI) has been documented in many studies, little long-term evidence of social drift exists. This study aimed to unravel the poverty transitions among persons with SMI in a fast change community in China. Methods Two mental health surveys, using the International Classification of Disease (ICD-10), were conducted in the same six townships of Xinjin county, Chengdu, China in 1994 and 2015. A total of 308 persons with SMI identified in 1994 were followed up in 2015. The profiles of poverty transitions were identified and regression modelling methods were applied to determine the predictive factors of poverty transitions. Results The poverty rate of persons with SMI increased from 39.9% to 49.4% in 1994 and 2015. A larger proportion of them had fallen into poverty (27.3%) rather than moved out of it (17.8%). Those persons with SMI who had lost work ability, had physical illness and more severe mental disabilities in 1994, as well as those who had experienced negative changes on these factors were more likely to live in persistent poverty or fall into poverty. Higher education level and medical treatment were major protective factors of falling into poverty. Conclusions This study shows long-term evidence on the social drift of persons with SMI during the period of rapid social development in China. Further targeted poverty alleviation interventions should be crucial for improving treatment and mental recovery and alleviating poverty related to SMI.


2018 ◽  
Vol 89 (6) ◽  
pp. A29.2-A29 ◽  
Author(s):  
Lana Zhovtis Ryerson ◽  
John Foley ◽  
Ih Chang ◽  
Ilya Kister ◽  
Gary Cutter ◽  
...  

IntroductionNatalizumab, approved for 300 mg intravenous every-4-weeks dosing, is associated with PML risk. Prior studies have been inconclusive regarding EID’s impact on PML risk. The US REMS program (TOUCH) offers the largest data source that can inform on PML risk in patients on EID. This analysis aimed to determine whether natalizumab EID is associated with reduced PML risk compared with SID.MethodsInvestigators developed SID and EID definitions and finalised the statistical analysis plan while blinded to PML events. Average dosing intervals (ADIs) were ≥3 to<5 weeks for SID and >5 to≤12 weeks for EID. The primary analysis assessed ADI in the last 18 months of infusion history. The secondary analysis identified any prolonged period of EID at any time in the infusion history. The tertiary analysis assessed ADI over the full infusion history. Only anti-JC virus antibody positive (JCV Ab+) patients with dosing intervals≥3 to≤12 weeks were included. PML hazard ratios (HRs) were compared using adjusted Cox regression models and Kaplan-Meier estimates.ResultsAnalyses included 13,132 SID and 1988 EID patients (primary), 15,424 SID and 3331 EID patients (secondary), and 23,168 SID and 815 EID patients (tertiary). In primary analyses, ADI (days) was 30 for SID and 37 for EID; median exposure (months) was 44 for SID and 59 for EID. Most EID patients received >2 years SID prior to EID. The PML HR (95% CI) was 0.06 (0.01–0.22; p<0.001) for primary analysis and 0.12 (0.05–0.29; p<0.001) for secondary analysis (both in favour of EID); no EID PML cases were observed in tertiary analyses (Kaplan-Meier log-rank test p=0.02).ConclusionIn JCV Ab +patients, natalizumab EID is associated with a clinically and statistically significant reduction in PML risk as compared with SID. As TOUCH does not collect effectiveness data, further studies are needed.Study supportBiogen


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
K Rönö ◽  
E Rissanen ◽  
C Bergh ◽  
U B Wennerholm ◽  
S Opdahl ◽  
...  

Abstract Study question Does the risk of neurodevelopmental disorders differ between singletons born after various assisted reproductive techniques (ART) and spontaneous conception (SC) until young adulthood? Summary answer ART children had a slightly increased rate of learning and motor functioning disorders, autism spectrum disorders (ASD), and ADHD and conduct disorders. What is known already Studies on the impact of ART on offspring have reported both increased risk and comparable incidences of neurodevelopmental disorders between ART and SC offspring. The most studied neurodevelopmental disorders with ART are autism spectrum disorders (ASD.) There is, however, no consensus on the risk of ASD for ART children. The risk for other neurodevelopmental disorders, like attention-deficit hyperactivity disorders (ADHD) or tic disorder among ART children, is also a debated issue, as studies are scarce. Study design, size, duration A Nordic register-based cohort study including all singleton live births (N = 5 076 444) after ART (n = 116 909) or SC (n = 4 959 535) between 1995 and 2014 in Denmark and Finland, 1995 and 2015 in Sweden; and 2005 and 2015 in Norway. Children with intellectual disability (ICD-10: F70-F79) are excluded. The children are followed up to young adulthood (the year 2014 in Denmark and Finland, and 2015 in Norway and Sweden). Participants/materials, setting, methods Offspring outcomes were defined as following ICD-10 diagnoses: learning and motor functioning disorders (F80-83), ASD (F84), ADHD and conduct disorders (F90-F92), and tic disorders/Tourette (F95). We calculated crude and adjusted hazard ratios (HR) for neurodevelopmental diagnoses using Cox regression. Adjustments were made for the country, maternal age at the delivery, parity, smoking, and maternal psychiatric morbidity. Main results and the role of chance The cumulative incidences of neurodevelopmental disorders in the cohort were 1.74% for F90-F92, 1.40% for F80-83, 0.66% for F84, and 0.22% for F95. In crude Cox-regression ART children had an increased likelihood during the follow-up of being diagnosed with F84 (HR 1.12 [95% CI 1.04-1.21]) and F95 (HR 1.21 [95% CI 1.06-1.38]), but not with F80-83 (HR 1.01 [95% CI 0.96-1.07]) or F90-92 (HR 0.82 [95% CI 0.77-0.86]). After adjustments the likelihood was increased for F80-83 (HR 1.20 [95% CI 1.13-1.27]), F84 (HR 1.12 [95% CI 1.03-1.24]), and F90-92 (HR 1.09 [95% CI 1.04-1.19]), but nor for F95 (HR 1.13 [95% CI 0.99-1.30]). After adjustments, intracytoplasmic sperm injection children compared with in vitro fertilization children had similar likelihood during follow-up for F80-83 (1.06 [95% CI 0.89–1.25]), for F84 (HR 0.92 [95% CI 0.76–1.11]), for F90-92 (HR 0.96 [95% CI 0.83–1.12]), and for F95 (HR 1.16 [95% CI 0.83–1.63]). After adjustments, frozen embryo transfer children compared with fresh embryo transfer children had similar likelihood during follow-up for F80-83 (HR 1.11 [95% CI 0.90–1.37]), F84 (HR 0.98 [95% CI 0.76–1.27]), F90-92 (HR 0.96 [95% CI 0.78–1.19]), and F95 (HR 0.83 [95% CI 0.51–1.35]). Limitations, reasons for caution There may be residual confounding by unknown or unmeasured confounders. We lack information on possible confounders like the reason and length of infertility, maternal substance use other than self-reported smoking status, paternal age, and parental somatic morbidity. Additional limitations are differences in registration practice and data availability between study countries. Wider implications of the findings This is the largest singleton cohort and the first multinational study on the risk for neurodevelopmental disorders among ART children. While the rate of some neurodevelopmental disorders was increased among ART children, the absolute risk was moderate. The type of ART did not associate with the incidence of neurodevelopmental disorders. Trial registration number ISRCTN11780826


Author(s):  
Mackenzie A Hamilton ◽  
Andrew Calzavara ◽  
Scott D Emerson ◽  
Jeffrey C Kwong

Objective: Routinely collected health administrative data can be used to efficiently assess disease burden in large populations, but it is important to evaluate the validity of these data. The objective of this study was to develop and validate International Classification of Disease 10PthP revision (ICD -10) algorithms that identify laboratory-confirmed influenza or laboratory-confirmed respiratory syncytial virus (RSV) hospitalizations using population-based health administrative data from Ontario, Canada. Study Design and Setting: Influenza and RSV laboratory data from the 2014-15 through to 2017-18 respiratory virus seasons were obtained from the Ontario Laboratories Information System (OLIS) and were linked to hospital discharge abstract data to generate influenza and RSV reference cohorts. These reference cohorts were used to assess the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the ICD-10 algorithms. To minimize misclassification in future studies, we prioritized specificity and PPV in selecting top-performing algorithms. Results: 83,638 and 61,117 hospitalized patients were included in the influenza and RSV reference cohorts, respectively. The best influenza algorithm had a sensitivity of 73% (95% CI 72% to 74%), specificity of 99% (95% CI 99% to 99%), PPV of 94% (95% CI 94% to 95%), and NPV of 94% (95% CI 94% to 95%). The best RSV algorithm had a sensitivity of 69% (95% CI 68% to 70%), specificity of 99% (95% CI 99% to 99%), PPV of 91% (95% CI 90% to 91%) and NPV of 97% (95% CI 97% to 97%). Conclusion: We identified two highly specific algorithms that best ascertain patients hospitalized with influenza or RSV. These algorithms may be applied to hospitalized patients if data on laboratory tests are not available, and will thereby improve the power of future epidemiologic studies of influenza, RSV, and potentially other severe acute respiratory infections.


2019 ◽  
Vol 147 (7-8) ◽  
pp. 455-460
Author(s):  
Marija Milenkovic ◽  
Zaneta Terzioski ◽  
Adi Hadzibegovic ◽  
Jovana Stanisavljevic ◽  
Ksenija Petrovic ◽  
...  

Introduction/Objective. The aim of this study was to determine independent predictors and the best trauma scoring system (REMS, RTS, GSC, SOFA, APPACHE II) of in-hospital mortality in patients with severe trauma at the Department of Emergency, Emergency Center, Clinical Center of Serbia, Belgrade. Methods. Longitudinal study included 208 consecutive patients with severe trauma. In order to determine independent survival contributors, univariate and multivariate Cox regression analyses were performed. The power of above-mentioned scoring systems (measured at admission to the Emergency center) to predict mortality was compared using the area under the curve (AUC). Results. There were 208 patients (159 male, 49 female), with the average age of 47.3 ? 20.7 years. Majority of patients were initially intubated (86.1%) on admission to the emergency department, and 59.6% patients were sedated before intubation. After finishing of diagnostic procedures, 17 patients were additionally intubated, and, at that time, 94.2% patients were on mechanic ventilation. The majority of patients was traumatized in a car crash (33.2%), followed by falls from height (26.4%) and as pedestrians (22.6%). Patients had an average of 24.7 ? 21.2 days spent in intensive care unit. The overall case-fatality ratio was 17/208 (8.2%). In Cox regression analysis only elevated heart rate (HR = 1.03, p = 0.012) and decreased arterial oxygen saturation (SpO2) (HR = 0.91, p = 0.033) singled out as independent contributors to in-hospital mortality of patients with severe trauma. REMS (AUC 0.72 ? 0.64) and SOFA (AUC 0.716 ? 0.067) scores were found fair and similar predictor of in-hospital mortality, while APACHE II (AUC 0.614 ? 0.062) and RTS (0.396 ? 0.068) were poor predictors. Conclusion. Results of this study showed an important role of REMS, which appears to provide balance between the predictive ability and the practical application, and components of REMS in prediction of outcome in patients with severe trauma and that HR and SpO2 are independent predictors of in-hospital mortality.


Respiration ◽  
2021 ◽  
pp. 1-10
Author(s):  
Claudio Tana ◽  
Fabrizio Ricci ◽  
Maria Gabriella Coppola ◽  
Cesare Mantini ◽  
Fulvio Lauretani ◽  
...  

<b><i>Background:</i></b> Point-of-care lung ultrasound (LUS) score is a semiquantitative score of lung damage severity. High-resolution computed tomography (HRCT) is the gold standard method to evaluate the severity of lung involvement from the novel coronavirus disease (COVID-19). Few studies have investigated the clinical significance of LUS and HRCT scores in patients with COVID-19. Therefore, the aim of this study was to evaluate the prognostic yield of LUS and of HRCT in COVID-19 patients. <b><i>Methods:</i></b> We carried out a multicenter, retrospective study aimed at evaluating the prognostic yield of LUS and HRCT by exploring the survival curve of COVID-19 inpatients. LUS and chest CT scores were calculated retrospectively by 2 radiologists with &#x3e;10 years of experience in chest imaging, and the decisions were reached in consensus. LUS score was calculated on the basis of the presence or not of pleural line abnormalities, B-lines, and lung consolidations. The total score (range 0–36) was obtained from the sum of the highest scores obtained in each region. CT score was calculated for each of the 5 lobes considering the anatomical extension according to the percentage parenchymal involvement. The resulting overall global semiquantitative CT score was the sum of each single lobar score and ranged from 0 (no involvement) to 25 (maximum involvement). <b><i>Results:</i></b> One hundred fifty-three COVID-19 inpatients (mean age 65 ± 15 years; 65% M), including 23 (15%) in-hospital deaths for any cause over a mean follow-up of 14 days were included. Mean LUS and CT scores were 19 ± 12 and 10 ± 7, respectively. A strong positive linear correlation between LUS and CT scores (Pearson correlation <i>r</i> = 0.754; <i>R</i><sup>2</sup> = 0.568; <i>p</i> &#x3c; 0.001) was observed. By ROC curve analysis, the optimal cut-point for mortality prediction was 20 for LUS score and 4.5 for chest CT score. According to Kaplan-Meier survival analysis, in-hospital mortality significantly increased among COVID-19 patients presenting with an LUS score ≥20 (log-rank 0.003; HR 9.87, 95% CI: 2.22–43.83) or a chest CT score ≥4.5 (HR 4.34, 95% CI: 0.97–19.41). At multivariate Cox regression analysis, LUS score was the sole independent predictor of in-hospital mortality yielding an adjusted HR of 7.42 (95% CI: 1.59–34.5). <b><i>Conclusion:</i></b> LUS score is useful to stratify the risk in COVID-19 patients, predicting those that are at high risk of mortality.


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