Impact of a data warehouse model for improved decision-making process in healthcare

The health system is one sector dealing with a deluge of complex data. Many healthcare organisations struggle to utilise these volumes of health data effectively and efficiently. Also, there are many healthcare organisations, which still have stand-alone systems, not integrated for management of information and decision-making. This shows, there is a need for an effective system to capture, collate and distribute this health data. Therefore, implementing the data warehouse concept in healthcare is potentially one of the solutions to integrate health data. Data warehousing has been used to support business intelligence and decision-making in many other sectors such as the engineering, defence and retail sectors. The research problem that is going to be addressed is, "how can data warehousing assist the decision-making process in healthcare". To address this problem the researcher has narrowed an investigation focusing on a cardiac surgery unit. This research used the cardiac surgery unit at the Prince Charles Hospital (TPCH) as the case study. The cardiac surgery unit at TPCH uses a stand-alone database of patient clinical data, which supports clinical audit, service management and research functions. However, much of the time, the interaction between the cardiac surgery unit information system with other units is minimal. There is a limited and basic two-way interaction with other clinical and administrative databases at TPCH which support decision-making processes. The aims of this research are to investigate what decision-making issues are faced by the healthcare professionals with the current information systems and how decision-making might be improved within this healthcare setting by implementing an aligned data warehouse model or models. As a part of the research the researcher will propose and develop a suitable data warehouse prototype based on the cardiac surgery unit needs and integrating the Intensive Care Unit database, Clinical Costing unit database (Transition II) and Quality and Safety unit database [electronic discharge summary (e-DS)]. The goal is to improve the current decision-making processes. The main objectives of this research are to improve access to integrated clinical and financial data, providing potentially better information for decision-making for both improved from the questionnaire and by referring to the literature, the results indicate a centralised data warehouse model for the cardiac surgery unit at this stage. A centralised data warehouse model addresses current needs and can also be upgraded to an enterprise wide warehouse model or federated data warehouse model as discussed in the many consulted publications. The data warehouse prototype was able to be developed using SAS enterprise data integration studio 4.2 and the data was analysed using SAS enterprise edition 4.3. In the final stage, the data warehouse prototype was evaluated by collecting feedback from the end users. This was achieved by using output created from the data warehouse prototype as examples of the data desired and possible in a data warehouse environment. According to the feedback collected from the end users, implementation of a data warehouse was seen to be a useful tool to inform management options, provide a more complete representation of factors related to a decision scenario and potentially reduce information product development time. However, there are many constraints exist in this research. For example the technical issues such as data incompatibilities, integration of the cardiac surgery database and e-DS database servers and also, Queensland Health information restrictions (Queensland Health information related policies, patient data confidentiality and ethics requirements), limited availability of support from IT technical staff and time restrictions. These factors have influenced the process for the warehouse model development, necessitating an incremental approach. This highlights the presence of many practical barriers to data warehousing and integration at the clinical service level. Limitations included the use of a small convenience sample of survey respondents, and a single site case report study design. As mentioned previously, the proposed data warehouse is a prototype and was developed using only four database repositories. Despite this constraint, the research demonstrates that by implementing a data warehouse at the service level, decision-making is supported and data quality issues related to access and availability can be reduced, providing many benefits. Output reports produced from the data warehouse prototype demonstrated usefulness for the improvement of decision-making in the management of clinical services, and quality and safety monitoring for better clinical care. However, in the future, the centralised model selected can be upgraded to an enterprise wide architecture by integrating with additional hospital units’ databases.

Change Point Estimation in Monitoring Survival Time

Precise identification of the time when a change in a hospital outcome has occurred enables clinical experts to search for a potential special cause more effectively. In this paper, we develop change point estimation methods for survival time of a clinical procedure in the presence of patient mix in a Bayesian framework. We apply Bayesian hierarchical models to formulate the change point where there exists a step change in the mean survival time of patients who underwent cardiac surgery. The data are right censored since the monitoring is conducted over a limited follow-up period. We capture the effect of risk factors prior to the surgery using a Weibull accelerated failure time regression model. Markov Chain Monte Carlo is used to obtain posterior distributions of the change point parameters including location and magnitude of changes and also corresponding probabilistic intervals and inferences. The performance of the Bayesian estimator is investigated through simulations and the result shows that precise estimates can be obtained when they are used in conjunction with the risk-adjusted survival time CUSUM control charts for different magnitude scenarios. The proposed estimator shows a better performance where a longer follow-up period, censoring time, is applied. In comparison with the alternative built-in CUSUM estimator, more accurate and precise estimates are obtained by the Bayesian estimator. These superiorities are enhanced when probability quantification, flexibility and generalizability of the Bayesian change point detection model are also considered.

Bayesian hierarchical models in statistical quality control methods to improve healthcare in hospitals

Quality oriented management systems and methods have become the dominant business and governance paradigm. From this perspective, satisfying customers’ expectations by supplying reliable, good quality products and services is the key factor for an organization and even government. During recent decades, Statistical Quality Control (SQC) methods have been developed as the technical core of quality management and continuous improvement philosophy and now are being applied widely to improve the quality of products and services in industrial and business sectors. Recently SQC tools, in particular quality control charts, have been used in healthcare surveillance. In some cases, these tools have been modified and developed to better suit the health sector characteristics and needs. It seems that some of the work in the healthcare area has evolved independently of the development of industrial statistical process control methods. Therefore analysing and comparing paradigms and the characteristics of quality control charts and techniques across the different sectors presents some opportunities for transferring knowledge and future development in each sectors. Meanwhile considering capabilities of Bayesian approach particularly Bayesian hierarchical models and computational techniques in which all uncertainty are expressed as a structure of probability, facilitates decision making and cost-effectiveness analyses. Therefore, this research investigates the use of quality improvement cycle in a health vii setting using clinical data from a hospital. The need of clinical data for monitoring purposes is investigated in two aspects. A framework and appropriate tools from the industrial context are proposed and applied to evaluate and improve data quality in available datasets and data flow; then a data capturing algorithm using Bayesian decision making methods is developed to determine economical sample size for statistical analyses within the quality improvement cycle. Following ensuring clinical data quality, some characteristics of control charts in the health context including the necessity of monitoring attribute data and correlated quality characteristics are considered. To this end, multivariate control charts from an industrial context are adapted to monitor radiation delivered to patients undergoing diagnostic coronary angiogram and various risk-adjusted control charts are constructed and investigated in monitoring binary outcomes of clinical interventions as well as postintervention survival time. Meanwhile, adoption of a Bayesian approach is proposed as a new framework in estimation of change point following control chart’s signal. This estimate aims to facilitate root causes efforts in quality improvement cycle since it cuts the search for the potential causes of detected changes to a tighter time-frame prior to the signal. This approach enables us to obtain highly informative estimates for change point parameters since probability distribution based results are obtained. Using Bayesian hierarchical models and Markov chain Monte Carlo computational methods, Bayesian estimators of the time and the magnitude of various change scenarios including step change, linear trend and multiple change in a Poisson process are developed and investigated. The benefits of change point investigation is revisited and promoted in monitoring hospital outcomes where the developed Bayesian estimator reports the true time of the shifts, compared to priori known causes, detected by control charts in monitoring rate of excess usage of blood products and major adverse events during and after cardiac surgery in a local hospital. The development of the Bayesian change point estimators are then followed in a healthcare surveillances for processes in which pre-intervention characteristics of patients are viii affecting the outcomes. In this setting, at first, the Bayesian estimator is extended to capture the patient mix, covariates, through risk models underlying risk-adjusted control charts. Variations of the estimator are developed to estimate the true time of step changes and linear trends in odds ratio of intensive care unit outcomes in a local hospital. Secondly, the Bayesian estimator is extended to identify the time of a shift in mean survival time after a clinical intervention which is being monitored by riskadjusted survival time control charts. In this context, the survival time after a clinical intervention is also affected by patient mix and the survival function is constructed using survival prediction model. The simulation study undertaken in each research component and obtained results highly recommend the developed Bayesian estimators as a strong alternative in change point estimation within quality improvement cycle in healthcare surveillances as well as industrial and business contexts. The superiority of the proposed Bayesian framework and estimators are enhanced when probability quantification, flexibility and generalizability of the developed model are also considered. The empirical results and simulations indicate that the Bayesian estimators are a strong alternative in change point estimation within quality improvement cycle in healthcare surveillances. The superiority of the proposed Bayesian framework and estimators are enhanced when probability quantification, flexibility and generalizability of the developed model are also considered. The advantages of the Bayesian approach seen in general context of quality control may also be extended in the industrial and business domains where quality monitoring was initially developed.

Investigation of decision making issues in the use of current clinical information systems

Clinical information systems have become important tools in contemporary clinical patient care. However, there is a question of whether the current clinical information systems are able to effectively support clinicians in decision making processes. We conducted a survey to identify some of the decision making issues related to the use of existing clinical information systems. The survey was conducted among the end users of the cardiac surgery unit, quality and safety unit, intensive care unit and clinical costing unit at The Prince Charles Hospital (TPCH). Based on the survey results and reviewed literature, it was identified that support from the current information systems for decision-making is limited. Also, survey results showed that the majority of respondents considered lack in data integration to be one of the major issues followed by other issues such as limited access to various databases, lack of time and lack in efficient reporting and analysis tools. Furthermore, respondents pointed out that data quality is an issue and the three major data quality issues being faced are lack of data completeness, lack in consistency and lack in data accuracy. Conclusion: Current clinical information systems support for the decision-making processes in Cardiac Surgery in this institution is limited and this could be addressed by integrating isolated clinical information systems.

Data warehousing model for integrating fragmented electronic health records from disparate and heterogeneous clinical data stores

This research was a step forward in developing a data integration framework for Electronic Health Records. The outcome of the research is a conceptual and logical Data Warehousing model for integrating Cardiac Surgery electronic data records. This thesis investigated the main obstacles for the healthcare data integration and proposes a data warehousing model suitable for integrating fragmented data in a Cardiac Surgery Unit.

Anatomic fitting of total artificial hearts for in vivo evaluation

Successful anatomic fitting of a total artificial heart (TAH) is vital to achieve optimal pump hemodynamics after device implantation. Although many anatomic fitting studies have been completed in humans prior to clinical trials, few reports exist that detail the experience in animals for in vivo device evaluation. Optimal hemodynamics are crucial throughout the in vivo phase to direct design iterations and ultimately validate device performance prior to pivotal human trials. In vivo evaluation in a sheep model allows a realistically sized representation of a smaller patient, for which smaller third-generation TAHs have the potential to treat. Our study aimed to assess the anatomic fit of a single device rotary TAH in sheep prior to animal trials and to use the data to develop a threedimensional, computer-aided design (CAD)-operated anatomic fitting tool for future TAH development. Following excision of the native ventricles above the atrio-ventricular groove, a prototype TAH was inserted within the chest cavity of six sheep (28–40 kg).Adjustable rods representing inlet and outlet conduits were oriented toward the center of each atrial chamber and the great vessels, with conduit lengths and angles recorded for future analysis. A threedimensional, CAD-operated anatomic fitting tool was then developed, based on the results of this study, and used to determine the inflow and outflow conduit orientation of the TAH. The mean diameters of the sheep left atrium, right atrium, aorta, and pulmonary artery were 39, 33, 12, and 11 mm, respectively. The center-to-center distance and outer-edge-to-outer-edge distance between the atria, found to be 39 ± 9 mm and 72 ± 17 mm in this study, were identified as the most critical geometries for successful TAH connection. This geometric constraint restricts the maximum separation allowable between left and right inlet ports of a TAH to ensure successful alignment within the available atrial circumference.

Head-of-bed elevation improves end-expiratory lung volumes in mechanically ventilated subjects : a prospective observational study

BACKGROUND: Head-of-bed elevation (HOBE) has been shown to assist in reducing respiratory complications associated with mechanical ventilation; however, there is minimal research describing changes in end-expiratory lung volume. This study aims to investigate changes in end-expiratory lung volume in a supine position and 2 levels of HOBE. METHODS: Twenty postoperative cardiac surgery subjects were examined using electrical impedance tomography. End-expiratory lung impedance (EELI) was recorded as a surrogate measurement of end-expiratory lung volume in a supine position and at 20° and then 30°. RESULTS: Significant increases in end-expiratory lung volume were seen at both 20° and 30° HOBE in all lung regions, except the anterior, with the largest changes from baseline (supine) seen at 30°. From baseline to 30° HOBE, global EELI increased by 1,327 impedance units (95% CI 1,080–1,573, P < .001). EELI increased by 1,007 units (95% CI 880–1,134, P < .001) in the left lung region and by 320 impedance units (95% CI 188–451, P < .001) in the right lung. Posterior increases of 1,544 impedance units (95% CI 1,405–1,682, P < .001) were also seen. EELI decreased anteriorly, with the largest decreases occurring at 30° (−335 impedance units, 95% CI −486 to −183, P < .001). CONCLUSIONS: HOBE significantly increases global and regional end-expiratory lung volume; therefore, unless contraindicated, all mechanically ventilated patients should be positioned with HOBE.

The lipophilic opioids: Fentanyl, alfentanil, sufentanil and remifentanil

discusses fentanyl, alfentanil, sufentanil, and remifentanil which are synthetic opioid analgesics with high affinity for the mu opioid receptor. They have been widely adopted in anaesthetic practice for various surgical procedures (e.g. in cardiac surgery) and for long-term analgesia and sedation. Important pharmacokinetic differences between these analgesics have been described, and this chapter addresses how the pharmacokinetic profile of each analgesic is affected by many factors, including patient age, plasma protein content, acid–base balance status, cardiopulmonary bypass, changes in hepatic blood flow, and the co-administration of other drugs which compete for plasma protein carriers and metabolic pathways, although their profile is not significantly affected by renal insufficiency or compensated hepatic dysfunction, which has major clinical implications.

Estimation of the time of a linear trend in monitoring survival time

Change point estimation is recognized as an essential tool of root cause analyses within quality control programs as it enables clinical experts to search for potential causes of change in hospital outcomes more effectively. In this paper, we consider estimation of the time when a linear trend disturbance has occurred in survival time following an in-control clinical intervention in the presence of variable patient mix. To model the process and change point, a linear trend in the survival time of patients who underwent cardiac surgery is formulated using hierarchical models in a Bayesian framework. The data are right censored since the monitoring is conducted over a limited follow-up period. We capture the effect of risk factors prior to the surgery using a Weibull accelerated failure time regression model. We use Markov Chain Monte Carlo to obtain posterior distributions of the change point parameters including the location and the slope size of the trend and also corresponding probabilistic intervals and inferences. The performance of the Bayesian estimator is investigated through simulations and the result shows that precise estimates can be obtained when they are used in conjunction with the risk-adjusted survival time cumulative sum control chart (CUSUM) control charts for different trend scenarios. In comparison with the alternatives, step change point model and built-in CUSUM estimator, more accurate and precise estimates are obtained by the proposed Bayesian estimator over linear trends. These superiorities are enhanced when probability quantification, flexibility and generalizability of the Bayesian change point detection model are also considered.

Avaliação da função endotelial microvascular, da rigidez arterial e da resposta inflamatória sistêmica em pacientes submetidos a cirurgia cardíaca com circulação extracorpórea

A Cirurgia de Revascularização do Miocárdio, realizada com o auxílio da Circulação Extracorpórea, está associada a alterações importantes na microcirculação e na produção e circulação de citocinas e marcadores inflamatórios. No presente estudo, foram avaliados 23 pacientes com indicação de Revascularização do Miocárdio, no dia do procedimento e 7 e 28 dias após a cirurgia. A microcirculação cutânea, enquanto reflexo da microcirculação coronariana, foi estudada através da hiperemia térmica e/ ou reativa pós oclusiva e da iontoforese de substâncias vasoativas por mecanismos dependentes e independentes do endotélio. A rigidez arterial foi aferida através da análise da onda de pulso digital. Foi avaliado ainda o impacto da doença e do procedimento cirúrgico sobre a produção e circulação sérica de citocinas e marcadores inflamatórios, tais como: PCR-HS, nitrito/ nitrato, IL-6, Il-7, IL-8, IL-10, IFN-γ, TNF-α e G-CSF. Foi observada uma tendência à redução da vasodilatação da microcirculação cutânea após a administração de doses acumulativas de acetilcolina (endotélio dependente) através da iontoforese de 7 e 28 dias após o procedimento cirúrgico. A hiperemia térmica foi mais pronunciada na avaliação basal do que aos 7 e 28 dias. A hiperemia reativa pós oclusiva não demonstrou alterações 7 dias após o procedimento. Aos 28 dias, houve um aumento da condutância microvascular cutânea. Quando avaliada a vasodilatação endotélio-independente (nitroprussiato de sódio), observamos aumento do fluxo microvascular cutâneo diretamente proporcional à carga/ dose aplicada, sem diferenças nos valores obtidos no basal e 7 e 28 dias após o procedimento. A rigidez arterial não apresentou alterações. A análise dos fatores inflamatórios e das citocinas demonstrou aumento marcante da IL-6 e da IL-8 após 7 dias do procedimento cirúrgico, com retorno parcial aos níveis basais da IL-6 e total da IL-8 após 28 dias. O IFN-γ, TNF-α e G-CSF apenas apresentaram níveis detectáveis na avaliação basal e IL-7 e IL-10 não demonstraram alterações significativas nos tempos avaliados. A PCR-HS demonstrou níveis mais elevados após 7 dias e retorno parcial aos níveis basais após 28 dias. O nitrito/ nitrato, após 7 dias, apresentou leve queda em sua concentração plasmática. Concluímos que a pequena diferença entre o valores obtidos entre o basal e após 7 dias do procedimento cirúrgico com a iontoforese de acetilcolina resulta em minimização do impacto endotelial e um valor constante deste dado após 28 dias, sugere recomposição fisiológica completa. Este resultado foi semelhante com a análise da hiperemia térmica e reativa pós oclusiva. As interleucinas IL-6 e IL-8, bem como a PCR-HS apresentaram comportamento correlacionável, refletindo a cinética inflamatória. A rigidez arterial não demonstrou alterações.

Estudo sobre a ocorrência de enterobactérias produtoras de ESBL isoladas de pacientes internados em unidades de pós-operatório de cirurgia cardíaca de um hospital da rede pública do Rio de Janeiro

As infecções associadas aos cuidados de saúde constituem um problema grave nas unidades hospitalares bem como nos serviços de atendimento extra-hospitalares. Diferentemente de outros países, no Brasil, existe uma incidência alta dessas infecções causadas por microorganismos Gram-negativos produtores de β-lactamase de espectroestendido (ESBL). Estas enzimas hidrolisam compostos β-lactâmicos e são consideradas mundialmente como de importância clínica, pois a localização de seus genes emelementos móveis facilitam a transmissão cruzada. Este estudo foi realizado com amostras bacterianas isoladas de material clínico e de fezes de pacientes internados em um hospital da rede pública no Rio de Janeiro, Brasil. Estes pacientes estavam internados em duas unidades de terapia intensiva cardiológica, no período de janeiro a dezembro de 2007. O estudo teve por objetivo realizar a caracterização fenotípica e genotípica desses isolados associados à colonização ou infecção dos pacientes. Os testes fenotípicos e genotípicos foram realizados na Universidade do Estado do Rio de Janeiro e incluíram provas bioquímicas, teste de susceptibilidade, teste confirmatório para a expressão da produção da enzima ESBL e Reação de Polimerase em Cadeia (PCR) com iniciadores específicos para cinco genes: blaTEM, blaSHV, CTX-M1, Toho1 e AmpC. As espécies bactérianas mais frequentemente isoladas foram Escherichia coli (25%) e Klebsiella pneumoniae (30,56%), e os genes mais prevalentes foram blaTEM (41,6%), AMPC (41,6%) blaSHV (33,3%), CTX-M1 (25%), e Toho1 (19,44%). Identificamos em 25% das amostras enterobactérias que não eram E. coli, K. pneumoniae ou Proteus sp, com fenótipo para ESBL e a expressão dos mesmos genes, confirmando a necessidade de investigação nestes grupos microbianos. O substrato mais sensível para a expressão da área de sinergismo no Teste de Aproximação foi o ceftriaxone (80%). Identificamos também que 17% das amostras positivas para ESBL apresentaram co-produção para AmpC e 50% apresentaram mais de um gene para os iniciadores testados. A presença da carbapenemase foi avaliada em amostras bacterianas com susceptibilidade intermediária para ertapenem, através do Teste de Hodge modificado. Os achados do presente estudo caracterizaram a co-produção de AmpC e ESBL, bem como sugerem a necessidade da revisão e a ampliação dos métodos para a detecção de outros padrões de resistência na nossa Instituição.

Características microbiológicas e clínicas das infecções por Acinetobacter spp. e Pseudomonas aeruginosa em Unidade de Terapia Intensiva Cardíaca de um Hospital Universitário do Rio de Janeiro

As infecções em cirurgia cardíaca ainda apresentam um cenário importante nas infecções associadas à assistência a saúde (IAAS), favorecendo ao paciente à aquisição de infecções por micro-organimos multirreristentes. Este trabalho teve como objetivo avaliar o perfil de resistência a antimicrobianos, verificar a presença de genes que codificam as enzimas dos tipos oxacilinases e metalo-beta-lactamases e descrever as características demográficas e clínicas dos pacientes colonziados/infectados por Acinetobacter spp. e P.aeruginosa internados no Centro de Terapia Intensiva Cardíaca do HUPE no período de 2005 a 2010. A maioria das 46 amostras de Acinetobacter spp e das 35 de P.aeruginosa foram de origem respiratória seguido de sangue. A maioria das amostras de A. baumannii apresentou altos percentuais de resistência a: ceftazidina, cefepime, piperacilina-sulbactam, ciprofloxacin, ceftriaxona e CIM ≥32 μg/mL para os carbapenêmicos. Uma amostra foi resistente a Polimixina B. O gene blaOXA-23 foi detectado em 65% das amostras e uma amostra apresentou o gene blaOXA-24. Não foram detectados os genes blaOXA-58-like e blaOXA-143. Para P. aeruginosa os percentuais de resistência para todos os antimicrobianos foram inferiores a 32%. Quatro amostras apresentaram resistência intermediária a polimixina B e nenhum gene de resistência foi detectado. Os prontuários dos pacientes foram analisados a fim de associar as características clínicas com os processos infecciosos identificados e seu desfecho clínico. Na análise por tipo de micro-organismo associado ao processo infeccioso à idade acima de 70 anos, DM e uso da ventilação mecânica por tempo prolongado foi maior no grupo dos pacientes que apresentaram infecção por P.aeruginosa. O IAM, a ICC em internações anteriores e suas complicações (choque cardiogênico e arritmia) tiveram impacto na mortalidade na série de pacientes (p<0,05). A insuficiência renal entre todas as comorbidades foi à única que teve associação com a mortalidade (OR= 8,3). Não houve associação entre a mortalidade e o micro-organismo que causou a infecção (Acinetobacter spp. p=0,3 e P.aeruginosa p=0,2) ou a resistência a carbapenêmicos (p=0,5). Foram observados dois casos de mediastinte por Acinetobacter spp. e dois por P. aeruginosa sendo um achado inédito no Brasil até o momento.

Eventos cardíacos decorrentes da infusão contínua de cloridrato de amiodarona: implicações para o enfermeiro

O objeto de estudo são os eventos cardíacos resultantes da infusão contínua de cloridrato de amiodarona em pacientes que evoluíram com fibrilação atrial em pós-operatório de cirurgia cardíaca. Os objetivos foram descrever as características dos pacientes que receberam infusão contínua de cloridrato de amidoarona, apresentar a prevalência de bradicardia e hipotensão encontrada nos pacientes que receberam infusão contínua de cloridrato de amiodarona e discutir as implicações dos achados para a prática dos enfermeiros a partir da prevalência encontrada de bradicardia e hipotensão decorrente da infusão contínua desta substância. Trata-se de um estudo transversal, retrospectivo, documental, por meio de análise de prontuários e avaliação quantitativa dos mesmos. Desenvolvida em uma unidade de pós-operatório de cirurgia cardíaca em um hospital universitário pertencente à rede sentinela no município do Rio de Janeiro. Foi considerado hipotensão em presença de PAS menor que 90 mmHg e bradicardia em presença de frequência cardíaca menor que 60 bpm. As variáveis que caracterizavam a população do estudo e as aferições de pressão arterial e frequência cardíaca foram transcritas para um instrumento de coleta de dados dos anos de 2010 e 2011, gerando 1782 horas de infusão contínua de cloridrato de amiodarona em 27 pacientes cirúrgicos (10,50%). Tratou-se de uma população predominantemente feminina, com idade a cima de 60 anos, período de internação superior a uma semana, apresentava hipertensão arterial prévia (59,26%), era portadora de fibrilação atrial (55,56%) e o diagnóstico cirúrgico de revascularização do miocárdio com circulação extracorpórea foi predominante (70,37%). Os dados mostram que 85,19% dos pacientes eram portadores de pelo menos um fator de risco, 70,37% apresentavam dois fatores de risco e 55,55% apresentavam três fatores de risco para desenvolver fibrilação atrial no pós-operatório de cirurgia cardíaca. Foi encontrada uma prevalência de 85,19% pacientes que apresentaram bradicardia, 66,67% apresentaram hipotensão e 59,26% apresentaram tanto bradicardia como hipotensão. Foram 160 episódios de bradicardia com 6,40 episódios por paciente e 77 episódios de hipotensão com 4,2 por paciente. A bradicardia ocorreu principalmente entre 48 e 72 horas do inicio da infusão. Já a hipotensão aumentou progressivamente nas primeiras 48 horas de infusão. Na presença de bradicardia a intervenção mais frequente foi redução da vazão de amiodarona já na presença de hipotensão, a manutenção de infusão de noradrenalina foi a conduta mais regular. Como estratégia de melhoria para segurança do paciente, foram elaboradas condutas como método de barreira para prevenção de eventos adversos como a bradicardia e hipotensão. Os principais cuidados de enfermagem a serem implementados pelo enfermeiro foram o levantamento de fatores de risco para a fibrilação atrial, a detecção da fibrilação atrial, a manutenção de monitorização cardíaca contínua, aferição horária do ritmo cardíaco e o controle da frequência cardíaca e pressão arterial, objetivando intervir precocemente em presença de hipotensão ou bradicardia.

Postoperative pulmonary calcification in a child with truncus arteriosus

Pulmonary calcification is uncommon in children. It is rarely described following cardiac surgery. Here, the authors describe the case of an infant who developed extensive pulmonary calcification following the repair of truncus arteriosus.