A Strategy for Development of Computerized Critical Care Decision Support Systems

The aim of this study was to determine the critical care and associated hospital costs for 2009 influenza A/H1N1 patients admitted to intensive care units (ICU) in Australia and New Zealand during the southern hemisphere winter All 762 patients admitted to ICUs in Australian and New Zealand between 1 June and 31 August 2009 with confirmed 2009 H1N1 influenza A were included. Costs were assigned based on ICU and hospital length-of-stay, using data from a single Australian ICU which estimated the daily cost of an ICU bed, along with published costs for a ward bed. Additional costs were assigned for allied health, overheads and extracorporeal membrane oxygenation services. The median (interquartile range) ICU and total hospital costs per patient were AU$35,942 ($10,269 to $82,152) and AU$51,294 ($22,849 to $110,340) respectively, while the mean (standard deviation) ICU and total hospital costs per patient were AU$63,298 ($78,722) and AU$85,395 ($147,457), respectively. A multivariate analysis found death was significantly associated with a reduction in the log of total costs, while the use of mechanical ventilation and ICU admission with viral pneumonitis/acute respiratory distress syndrome or secondary bacterial pneumonia were significantly associated with an increase in the log of total costs. The cost of 2009 H1N1 patients in ICU was significantly higher than the previously published costs for an average ICU admission, and the total cost of treating 2009 H1N1 patients in ICU admitted during winter 2009 was more than $65,000,000.

Pediatric Intensive Care Resource Utilization Following Hematopoietic Cell Transplantation in Children with Acute Leukemia

BackgroundThe adjacent conditions infection, sepsis, and septic shock are among the most common causes of treatment in the emergency department (ED). Most available data come from intensive care units (ICU) and include nosocomial infections acquired during hospitalization. Epidemiological data from German EDs are not yet available, although the ED is one of the first points of contact for patients. The aim of this study was to investigate the epidemiology, causes, diagnosis, mortality, and treatment of patients with infections in the ED.Materials and methodsIn this retrospective, single-center observational study, routinely collected data from the patient data management system and from the hospital information system were analyzed. All adult patients who presented to the ED in connection with an infection during the study period from 01/01 to 28/02/2019 were included. Exclusion criteria were age ≤ 17 years and incomplete records. Three groups (I. Infection, II. Sepsis, and III. Septic shock) were defined according to SEPSIS-3 definitions.ResultsDuring the study period, a total of 6,607 patients were treated in the ED. Of these patients, 19.3% (n = 1,278) had an infection (mean age 56 ± 23 years, 50% female). The sites of infection were distributed as follows: Respiratory tract 35%, genitourinary tract 18%, maxillofacial/ears/nose/throat 14%, intraabdominal 13%, soft tissues 10%, central nervous system 1%, other cause 3%, or unknown cause 6%. Infection only, sepsis and septic shock were present in 86, 10, and 3%, respectively. There were significant differences in vital signs as well as in the various emergency sepsis scores across the predefined groups [I vs. II vs. III: SOFA (pts.): 1 ± 1 vs. 4 ± 2 vs. 7 ± 3 (p < 0.0001), systolic blood pressure (mmHg): 137 ± 25 vs. 128 ± 32 vs. 107 ± 34 (p < 0.05), heart rate (bpm): 92 ± 18 vs. 99 ± 23 vs. 113 ± 30 (p < 0.05), respiratory rate (min-1): 18 ± 4 vs. 20 ± 7 vs. 24 ± 10 (p < 0.05)]. In the three groups, blood cultures were obtained in 34, 81, and 86%, of cases, respectively and antibiotics were administered in the ED in 50, 89, and 86%, of cases respectively. The 30-day mortality rate in the three groups was 1.6, 12.0, and 38.1%, respectively.ConclusionThis study is the first to show the incidence, management, and outcome of patients classified as infection, sepsis, and septic shock in a German ED. The findings of our real-world data are important for quality management and enable the optimization of treatment pathways for patients with infectious diseases.

Despite the high number of intensive care beds in German hospitals compared to other European countries, intensive care medical shortages are common in daily clinical practice. This is due to a hardly established cross-departmental discharge and transfer management with missing objective discharge criteria, lack of personnel and bed closures. Aboveaverage lengths of stays and increased readmission rates to the intensive care unit also indicate an inefficient use of resources in German hospitals. Against this background, a systematic literature search was carried out on the current state of research on discharge criteria from the intensive care unit and transfer processes to follow-up wards. Between 1983 and 2020, 1,917 sources were found, 286 were selected as full text, 104 of which were considered relevant and used as the basis for this work. Approaches, such as a root cause analy- sis of bottleneck situations including the entire hospital system with its interdependent admission, transfer and discharge processes, and the use of electronic decision support in conjunction with standardised discharge criteria can improve the use of existing intensive care capacities and lead to safer and better patient flow. For better use of resources, the therapeutic outcome must be viewed along the entire clinical pathway in order to care for the right patient at the right place and at the right time. A standardised care transition management using objective discharge criteria could help to include the various stakeholders in the discharge decision and patient-transfer process to reflect patient-, caregiver-, process, and institution-specific factors, and ultimately to manage, proactively and efficiently, the available intensive care resources. Decision support in the discharge process using self-learning systems based on available data from patient data management systems is forward-looking, but must be validated more widely in clinical practice.

Dear Editor, Extracorporeal membrane oxygenation (ECMO) has a significant impact on intensive care unit (ICU) patient costs. Human resources are a major cost driver for ECMO in severe acute respiratory distress syndrome (ARDS) [1]. However, recent developments in ECMO technology has allowed safe patient management by a single caregiver [2–4]. In the present report, we analyze the direct ICU costs of patients with influenza A (H1N1)-related ARDS supported with miniaturized ECMO systems and managed by a single caregiver. We performed an observational study of all patients (n = 10) with H1N1-associated ARDS treated with ECMO in Hospital S. Joao (Porto, Portugal), between November 2009 and April 2011. The clinical data and ECMO treatment details of this ICU patient cohort have been described in a previous report [5]. Patients were admitted in medical ICUs and managed by a single caregiver using miniaturized ECMO circuits (Rotaflow Centrifugal Pump plus Quadrox PLS and CARDIOHELP; Maquet Cardiopulmonary AG). In our single caregiver model, the ICU nurse primarily managed the ECMO patient under the coordination of 24/7 inhouse ICU physicians, with the backup of an on-call ECMO specialist. Our multidisciplinary ECMO specialist team (ICU physicians, ICU nurses, and cardiovascular perfusionists) is responsible for managing equipment and supplies, circuit preparation, patient transportation, troubleshooting, daily rounds, education, and service administration. Per patient ICU direct costs were analyzed retrospectively from clinical records and hospital databases using both top-down and bottom-up approaches. Bottom-up analysis was performed for all drugs, transfusion requirements, laboratory and imagiology exams. Regarding disposable items, bottom-up analysis was possible for ECMO-specific disposables and for renal replacement therapies. Costs with human resources were assessed using the top-down approach. Specific ECMO costs were also individualized for each ICU episode: (1) disposables devices; (2) laboratory tests; (3) transfusion requirements; and (4) drugs. The Ethics Committee of the Hospital S. Joao approved this study and waived the need for patients’ informed consent. Variables are reported as median and interquartile ranges, if not otherwise indicated. The cost drivers of H1N1-related ARDS patients treated with miniaturized ECMO are presented in Table 1. ECMO support corresponded to 63.6 (62.5–88.5) % of the ICU length of stay (LOS). The ICU LOS positively correlated (r = 0.97; p \ 0.001) with ICU patient costs [42,721 (33,358–56,801) €], but not with specific ECMO costs [r = 0.17; p = 0.63; 7,516 (5,599–7,736) €]. ECMO-specific costs represented 17.6 (13.1–18.1) % of the total ICU direct costs, mostly ECMO disposable devices [94.8 (87.1–96.1) %]. Daily ICU costs with antibiotics, sedation, analgesia and neuromuscular blockade, fluids and nutrition, vasoactive drugs, anticoagulation medications, and other unspecific drugs were higher during the period of ECMO support compared with the period without ECMO support. In conclusion, the use of miniaturized ECMO had a small impact on direct ICU costs in our cohort of H1N1-related severe ARDS patients managed by a single caregiver and did not correlate with the ICU LOS. Knowledge of the incremental costs associated with miniaturized ECMO will contribute to the clarification of its cost-effectiveness in severe ARDS.

BackgroundFamily caregivers of former intensive care unit (ICU) patients may suffer from physical and mental problems owing to ICU hospitalisation of their loved ones. These problems can have a major impact on their daily lives. Little is known about experienced consequences of ICU hospitalisation on caregivers in general practice.AimTo explore health problems in family caregivers of former ICU patients and the consequences in their daily lives.Design & settingSemi-structured interviews with family caregivers of former critically ill patients treated in a Dutch ICU.MethodPurposively sampled relatives of former ICU patients were interviewed between April and May 2019. Interviews were conducted until data saturation was reached. Interviews were then thematically analysed.ResultsIn total, 13 family caregivers were interviewed. The interviews took place 3 months to 3 years after ICU discharge. Expressed problems were categorised into six themes: (1) physical functioning (for example, tiredness, headache, and feeling sick more often); (2) mental health (for example, anxiety, more stress and difficulty in expressing emotions); (3) existential dimension and future (for example, uncertainty about the future); (4) quality of life (for example, losing freedom in life); (5) relationship and social participation (for example, experiencing a lack of understanding); and (6) daily functioning (for example, stopping working).ConclusionCaregivers experience several health problems, even years after their relative's ICU episode. Healthcare providers should be focused not only on former ICU patients’ health, but also on their caregivers’, and need to signal and identify caregivers' health problems earlier in order to give them the appropriate care and support they need.

Discharge letters are an important means of communication between physicians and nurses from intensive care units and their colleagues from normal wards. The patient data management system (PDMS) used at our local intensive care units provides an export tool to create discharge letters by inserting data items from electronic medical records into predefined templates. Local intensivists criticized the limitations of this tool regarding the identification and the further processing of clinically relevant data items for a flexible creation of discharge letters. As our PDMS supports Arden Syntax, and the demanded functionalities are well within the scope of this standard, we set out to investigate the suitability of Arden Syntax for the generation of discharge letters. To provide an easy-to-understand facility for integrating data items into document templates, we created an Arden Syntax interface function which replaces the names of previously defined variables with their content in a way that permits arbitrary custom formatting by clinical users. Our approach facilitates the creation of flexible text sections by conditional statements, as well as the integration of arbitrary HTML code and dynamically generated graphs. The resulting prototype enables clinical users to apply the full set of Arden Syntax language constructs to identify and process relevant data items in a way that far exceeds the capabilities of the PDMS export tool. The generation of discharge letters is an uncommon area of application for Arden Syntax, considerably differing from its original purpose. However, we found our prototype well suited for this task and plan to evaluate it in clinical production after the next major release change of our PDMS.

Epidemiology, etiology, and diagnosis of hospital-acquired pneumonia and ventilator-associated pneumonia in Asian countries

ABSTRACTBACKGROUND:A major problem of the coronavirus pandemic is the increase of patients requiring intensive care unit (ICU) support in an extremely limited period of time. As a result, most countries have prioritized coronavirus disease 2019 (COVID-19) care in ICUs and take new arrangements to increase hospital capacity in emergency department and ICUs. This study aimed to evaluate the changes in the number, clinical and demographic characteristics of patients hospitalized in non-COVID ICUs during the COVID-19 pandemic period compared to the previous year (pre-pandemic period), and to reveal the effects of the pandemic.METHODS:Hospitalized patients in non-COVID ICUs of our hospital between 11 March 2019 and 11 March 2021 were included in the study. The patients were divided into two groups according to date of the start of the COVID period. Patient data were scanned and recorded retrospectively from hospital information system and ICU assessment forms. Information regarding demographics (age and gender), comorbidities, COVID 19 polymerase chain reaction result, place of ICU admission, the diagnoses of patients admitted to ICU, length of ICU stay, Glasgow coma scale and mortality rates, and the Acute Physiology and Chronic Health Evaluation II score were collected.RESULTS:A total of 2292 patients were analyzed, including 1011 patients (413 women and 598 men) in the pre-pandemic period (Group 1) and 1281 patients (572 women and 709 men) in the pandemic period (Group 2). When the diagnoses of patients admitted to ICU were compared between the groups, there was a statistically significant difference between post-operation, return of spontaneous circulation, intoxication, multitrauma, and other reasons. In the pandemic period, the patients had a statistically significant longer length of ICU stay.CONCLUSION:Changes were observed in the clinical and demographic characteristics of patients hospitalized in non-COVID-19 ICUs. We observed that the length of ICU stay of the patients increased during the pandemic period. Due to this situation, we think that intensive care and other inpatient services should be managed more effectively during the pandemic.

To quantify the mean daily cost of intensive care, identify key factors associated with increased cost, and determine the incremental cost of mechanical ventilation during a day in the intensive care unit. Retrospective cohort analysis using data from NDCHealth's Hospital Patient Level Database. A total of 253 geographically diverse U.S. hospitals. The study included 51,009 patients >/=18 yrs of age admitted to an intensive care unit between October 1, 2002, and December 31, 2002. None. Days of intensive care and mechanical ventilation were identified using billing data, and daily costs were calculated as the sum of daily charges multiplied by hospital-specific cost-to-charge ratios. Cost data are presented as mean (+/-sd). Incremental daily cost of mechanical ventilation was calculated using log-linear regression, adjusting for patient and hospital characteristics. Approximately 36% of identified patients were mechanically ventilated at some point during their intensive care unit stay. Mechanically ventilated patients were older (63.5 yrs vs. 61.7 yrs, p < .0001) and more likely to be male (56.1% vs. 51.8%, p < 0.0001), compared with patients who were not mechanically ventilated, and required mechanical ventilation for a mean duration of 5.6 days +/- 9.6. Mean intensive care unit cost and length of stay were 31,574 +/- 42,570 dollars and 14.4 days +/- 15.8 for patients requiring mechanical ventilation and 12,931 +/- 20,569 dollars and 8.5 days +/- 10.5 for those not requiring mechanical ventilation. Daily costs were greatest on intensive care unit day 1 (mechanical ventilation, 10,794 dollars; no mechanical ventilation, 6,667 dollars), decreased on day 2 (mechanical ventilation:, 4,796 dollars; no mechanical ventilation, 3,496 dollars), and became stable after day 3 (mechanical ventilation, 3,968 dollars; no mechanical ventilation, 3,184 dollars). Adjusting for patient and hospital characteristics, the mean incremental cost of mechanical ventilation in intensive care unit patients was 1,522 dollars per day (p < .001). Intensive care unit costs are highest during the first 2 days of admission, stabilizing at a lower level thereafter. Mechanical ventilation is associated with significantly higher daily costs for patients receiving treatment in the intensive care unit throughout their entire intensive care unit stay. Interventions that result in reduced intensive care unit length of stay and/or duration of mechanical ventilation could lead to substantial reductions in total inpatient cost.

To use theoretical modelling exercises to determine the effect of reduced intensive care unit (ICU) length of stay (LOS) on total hospital costs at a Canadian centre. We conducted a retrospective cost analysis from the perspective of one tertiary teaching hospital in Canada. Cost, demographic, clinical, and LOS data were retrieved through case-costing, patient registry, and hospital abstract systems of The Ottawa Hospital Data Warehouse for all new in-patient ward (30,483) and ICU (2,239) encounters between April 2012 and March 2013. Aggregate mean daily variable direct (VD) costs for ICU vs ward encounters were summarized by admission day number, LOS, and cost centre. The mean daily VD cost per ICU patient was $2,472 (CAD), accounting for 67.0% of total daily ICU costs per patient and $717 for patients admitted to the ward. Variable direct cost is greatest on the first day of ICU admission ($3,708), and then decreases by 39.8% to plateau by the fifth day of admission. Reducing LOS among patients with ICU stays ≥ four days could potentially result in an annual hospital cost saving of $852,146 which represents 0.3% of total in-patient hospital costs and 1.2% of ICU costs. Reducing ICU LOS has limited cost-saving potential given that ICU costs are greatest early in the course of admission, and this study does not support the notion of reducing ICU LOS as a sole cost-saving strategy.

Development and Prospective Validation of a Pediatric Heart Failure Risk-Prediction Model for 30-Day Mortality in US Children Listed for Heart Transplantation

BackgroundVentilator-associated pneumonia (VAP) is a common nosocomial infection in critically ill patients in intensive care units (ICUs) worldwide. Despite the huge healthcare economic burden and the significant negative morbidity and mortality impact of VAP, its incidence and outcomes in the trauma ICU (TICU) population were poorly documented in South Africa (SA).ObjectivesTo determine the incidence of VAP in a level I trauma centre at Inkosi Albert Luthuli Central Hospital in Durban, SA, compared with international benchmarks. Determining mortality rates, the average length and cost of ICU stay, ventilator days and antibiotic consumption was a secondary objective.MethodsThis retrospective chart review of the trauma registry at the centre examined the incidence of VAP and secondary outcomes over the period January 2017 - December 2019. A data pro forma was used with VAP diagnoses as per the 2015 Centers for Disease Control and Prevention definitions. The comparator was international literature-based benchmark VAP rates in TICUs.ResultsThe study included 395 patients, of whom 143 (36.2%) were diagnosed with VAP. The VAP rate was calculated to be 35.6 per 1 000 ventilator days. Thirty-one patients with VAP (21.7%) died in the ICU, a similar figure to that for the non-VAP group (22.6%). There were no statistically significant differences in age, sex, mechanism of injury or Injury Severity Score between the VAP and non-VAP groups (p>0.05). There were statistically significant differences between the two groups in number of days on mechanical ventilation, ICU length of stay and ICU cost. The VAP group had a median of 12 ventilation days v. 5 days for the non-VAP group (p<0.001), and spent a median of 7 days longer in the ICU (p<0.001). The median cost of ICU stay for VAP patients was almost double that for non-VAP patients (p<0.001).ConclusionVAP rates in this local TICU were similar to international rates. Trauma patients, especially those with traumatic brain injury, are at higher risk of VAP than general ICU patients, so strict adherence to evidence-based VAP prevention bundles is necessary among TICU staff.Contribution of the studyThis study is the first to assess ventilator-associated pneumonia rates in a South African trauma-specific intensive care unit compared with national and international benchmarks, and sets the standard for local morbidity and mortality norms.

To assess the incidence, risk factors, and outcome of active cytomegalovirus (CMV) infection in nonimmunosuppressed intensive care unit (ICU) patients. Prospective epidemiologic study. A medical ICU in a university hospital. Two hundred forty-two nonimmunosuppressed ICU patients mechanically ventilated for >or=2 days. Routine pp65 antigenemia and serology for CMV were performed at admission, and then weekly. Bronchoalveolar lavage viral cultures were done when pneumonia was suspected. Thirty-nine of the 242 ICU patients (16.1%, confidence interval 11.5% to 20.7%) developed an active CMV infection, as diagnosed by positive antigenemia (85%) and/or positive rapid viral culture in bronchoalveolar lavage (26%). Antiviral treatment was initiated in 21 (54%) patients. ICU mortality (54% vs. 37%, p = 0.082) and in-hospital mortality (59% vs. 41%, p = 0.058) were increased in patients with active CMV infection, as compared with those without active CMV infection. Active CMV infection and Simplified Acute Physiology Score II at admission were associated with ICU death on multivariate analysis. The patients with active CMV infection had longer mechanical ventilation and longer ICU stay and were significantly more prone to developing bacterial nosocomial infections (p < 0.001). Logistic regression analysis showed that prior admission to other wards (p = 0.043; odds ratio [OR], 2.49), blood transfusions (p = 0.04; OR, 3.31), enteral feeding (p = 0.005; OR, 3.00), recent corticosteroid use before ICU admission (p = 0.08; OR, 2.26), and age (p = 0.07; OR, 1.026) were associated with the occurrence of active CMV infection. : Active CMV infection is common among previously healthy patients under mechanical ventilation in a medical ICU. Further studies are needed to evaluate the role of antiviral treatments to reduce both the incidence and the outcome impact of active CMV infection.

Psychiatric management of Patients in intensive care units.