Risk factors for hospital-acquired pneumonia in hip fracture patients: A systematic review and meta-analysis.

BACKGROUND: This study aimed to comprehensively assess the prevalence and risk factors for Hospital-acquired pneumonia (HAP) in hip fracture patients by meta-analysis. METHODS: Systematically searched 4 English databases and 4 Chinese databases from inception until October 20, 2022. All studies involving risk factors of HAP in patients with hip fractures will be considered. Newcastle-Ottawa Scale was used to evaluate the quality of the included studies. The results were presented through Review Manager 5.4 with the pooled odds ratio (OR) and 95% confidence interval. RESULTS: Of 35 articles included in this study, the incidence of HAP was 8.9%. 43 risk factors for HAP were initially included, 23 were eventually involved in the meta-analysis, and 21 risk factors were significant. Among them, the 4 most frequently mentioned risk factors were as follows: Advanced age (OR 1.07, 95% CI 1.05-1.10), chronic obstructive pulmonary disease (COPD) (OR 3.44, 95% CI 2.83-4.19), time from injury to operation (OR 1.09, 95% CI 1.07-1.12), time from injury to operation ≥ 48 hours (OR 3.59, 95% CI 2.88-4.48), and hypoalbuminemia < 3.5g/dL (OR 2.68, 95% CI 2.15-3.36). DISCUSSION: Hip fracture patients diagnosed with COPD have a 3.44 times higher risk of HAP compared to the general hip fracture patients. The risk of HAP also increases with age, with patients over 70 having a 2.34-fold higher risk and those over 80 having a 2.98-fold higher risk. These findings highlight the need for tailored preventive measures and timely interventions in vulnerable patient populations. Additionally, hip fracture patients who wait more than 48 hours for surgery have a 3.59-fold higher incidence of HAP. This emphasizes the importance of swift surgical intervention to minimize HAP risk. However, there are limitations to consider in this study, such as heterogeneity in selected studies, inclusion of only factors identified through multivariate logistic regression, and the focus on non-randomized controlled trial studies.

Automated surveillance of non-ventilator-associated hospital-acquired pneumonia (nvHAP): a systematic literature review.

BACKGROUND: Hospital-acquired pneumonia (HAP) and its specific subset, non-ventilator hospital-acquired pneumonia (nvHAP) are significant contributors to patient morbidity and mortality. Automated surveillance systems for these healthcare-associated infections have emerged as a potentially beneficial replacement for manual surveillance. This systematic review aims to synthesise the existing literature on the characteristics and performance of automated nvHAP and HAP surveillance systems. METHODS: We conducted a systematic search of publications describing automated surveillance of nvHAP and HAP. Our inclusion criteria covered articles that described fully and semi-automated systems without limitations on patient demographics or healthcare settings. We detailed the algorithms in each study and reported the performance characteristics of automated systems that were validated against specific reference methods. Two published metrics were employed to assess the quality of the included studies. RESULTS: Our review identified 12 eligible studies that collectively describe 24 distinct candidate definitions, 23 for fully automated systems and one for a semi-automated system. These systems were employed exclusively in high-income countries and the majority were published after 2018. The algorithms commonly included radiology, leukocyte counts, temperature, antibiotic administration, and microbiology results. Validated surveillance systems' performance varied, with sensitivities for fully automated systems ranging from 40 to 99%, specificities from 58 and 98%, and positive predictive values from 8 to 71%. Validation was often carried out on small, pre-selected patient populations. CONCLUSIONS: Recent years have seen a steep increase in publications on automated surveillance systems for nvHAP and HAP, which increase efficiency and reduce manual workload. However, the performance of fully automated surveillance remains moderate when compared to manual surveillance. The considerable heterogeneity in candidate surveillance definitions and reference standards, as well as validation on small or pre-selected samples, limits the generalisability of the findings. Further research, involving larger and broader patient populations is required to better understand the performance and applicability of automated nvHAP surveillance.

Prevalence of hospital-associated infections and its association with discharge destinations and hospital readmissions in Brussels, Belgium, from 2008 to 2020: A hospital-based, cross-sectional study.

OBJECTIVES: To examine time trends of hospital-associated infections (HAIs) in people living in the Brussels-Capital Region, and to evaluate the consequences for hospitals and long-term care facilities (LTCFs). DESIGN: Cross-sectional analyses of yearly hospital administrative data. SETTING: All Belgian hospitals and discharge destinations, focusing on LTCFs. PARTICIPANTS: All individuals from the Brussels-Capital Region hospitalized for >1 day throughout Belgium between 2008 and 2020 (N = 1,915,572). METHODS: We calculated HAI prevalences and then, adjusting for confounders, the odds of being discharged to a LTCF or being readmitted within 30 days postdischarge after an HAI. HAIs included hospital-associated bloodstream infections, hospital-associated urinary tract infections, hospital-associated pneumonia, ventilator-associated pneumonia, and surgical-site infections. RESULTS: Between 2008 and 2020, we identified 77,004 HAIs. Changes in time trends occurred. We observed a decrease of all HAIs from 2012 to 2014 from 5.17% to 2.19% (P < .001) and an increase from 2019 to 2020 from 3.38% to 4.06% (P < .001). Among patients with HAIs, 24.36% were discharged to LTCFs and 13.51% underwent early readmission. For stays ≥4 days, HAIs were associated with higher odds of LTCF discharge (adjusted odds ratio [aOR], 1.25; 95% confidence interval [CI], 1.22-1.28), but with lesser odds of early readmission (aOR, 0.88; 95% CI, 0.85-0.90). CONCLUSIONS: Administrative data can be useful to detect HAIs trends, but they seem to underestimate the burden compared to surveillance systems. Risk factors of readmission should be identified during hospital stays to ensure continuity of care. Considering the results from 2020 coinciding with the COVID-19 pandemic, monitoring the impact of HAIs should continue.

Impact of hospital-acquired pneumonia on the Medicare program.

OBJECTIVE: Patient safety organizations and researchers describe hospital-acquired pneumonia (HAP) as a largely preventable hospital-acquired infection that affects patient safety and quality of care. We provide evidence regarding the consequences of HAP among 2019 Medicare beneficiaries. DESIGN: Retrospective case-control study. PATIENTS: Calendar year 2019 Medicare beneficiaries with HAP during an initial hospitalization, defined by International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding on inpatient claims (n = 2,457). Beneficiaries with HAP were matched using diagnosis-related group (DRG) codes with beneficiaries who did not experience HAP (n = 2,457). METHODS: The 2019 calendar year Medicare 5% Standard Analytic Files (SAF), for inpatient, outpatient, physician, and all postacute hospital settings. The case group (HAP) and control group (non-HAP) were matched on disease severity, age, sex, and race and were compared for hospital length of stay, costs, and mortality during the initial hospitalization and across settings for 30, 60, and 90 days after discharge. The 2019 fiscal year MedPAR Claims data were used to determine Medicare costs. RESULTS: Medicare beneficiaries with HAP were 2.8 times more likely to die within 90 days compared with matched beneficiaries who did not develop HAP. Among those who survived, beneficiaries with HAP spent 6.6 more days in the hospital (69%) and cost the Medicare program an average of $14,487 (24%) more per episode of care across initial inpatient and postdischarge services. CONCLUSIONS: The findings of higher mortality and cost among Medicare beneficiaries who develop HAP suggest that HAP prevention should be prioritized as a patient safety and quality initiative for the Medicare program.

Comparative study of the etiology of nosocomial bacteremic pneumonia in ventilated and non-ventilated patients: a 10-year experience in an institution.

IMPORTANCE: This study on bacteremic nosocomial pneumonia (bNP) demonstrates the importance of this condition both in patients undergoing and not undergoing mechanical ventilation. Staphylococcus aureus, Enterobacterales, and non-fermenting Gram-negative bacilli are all causative agents in ventilator-associated pneumonia (VAP) and hospital-acquired pneumonia (HAP), with a predominance of S. aureus in HAP and of Pseudomonas aeruginosa in VAP. Mortality in this condition is very high. Therefore, new therapeutic and preventive approaches should be sought.

Prevention of non-ventilator-associated hospital-acquired pneumonia in Switzerland: a type 2 hybrid effectiveness-implementation trial.

BACKGROUND: Non-ventilator-associated hospital-acquired pneumonia (nvHAP) is a frequent, but under-researched infection. We aimed to simultaneously test an nvHAP prevention intervention and a multifaceted implementation strategy. METHODS: In this single-centre, type 2 hybrid effectiveness-implementation study, all patients of nine surgical and medical departments at the University Hospital Zurich, Switzerland, were included and surveyed over three study periods: baseline (14-33 months, depending on department), implementation (2 months), and intervention (3-22 months, depending on department). The five-measure nvHAP prevention bundle consisted of oral care, dysphagia screening and management, mobilisation, discontinuation of non-indicated proton-pump inhibitors, and respiratory therapy. The implementation strategy comprised department-level implementation teams who conducted and locally adapted the core strategies of education, training, and changing infrastructure. Intervention effectiveness on the primary outcome measure of nvHAP incidence rate was quantified using a generalised estimating equation method in a Poisson regression model, with hospital departments as clusters. Implementation success scores and determinants were derived longitudinally through semistructured interviews with health-care workers. This trial is registered with ClinicalTrials.gov (NCT03361085). FINDINGS: Between Jan 1, 2017, and Feb 29, 2020, 451 nvHAP cases occurred during 361 947 patient-days. nvHAP incidence rate was 1·42 (95% CI 1·27-1·58) per 1000 patient-days in the baseline period and 0·90 (95% CI 0·73-1·10) cases per 1000 patient-days in the intervention period. The intervention-to-baseline nvHAP incidence rate ratio, adjusted for department and seasonality, was 0·69 (95% CI 0·52-0·91; p=0·0084). Implementation success scores correlated with lower nvHAP rate ratios (Pearson correlation -0·71, p=0·034). Determinants of implementation success were positive core business alignment, high perceived nvHAP risk, architectural characteristics promoting physical proximity of health-care staff, and favourable key individual traits. INTERPRETATION: The prevention bundle led to a reduction of nvHAP. Knowledge of the determinants of implementation success might help in upscaling nvHAP prevention. FUNDING: Swiss Federal Office of Public Health.

A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia.

INTRODUCTION: Nosocomial pneumonia has poor prognosis in hospitalized trauma patients. Croce et al. published a model to predict post-traumatic ventilator-associated pneumonia, which achieved high discrimination and reasonable sensitivity. We aimed to externally validate Croce's model to predict nosocomial pneumonia in patients admitted to a Dutch level-1 trauma center. MATERIALS AND METHODS: This retrospective study included all trauma patients (≥ 16y) admitted for > 24 h to our level-1 trauma center in 2017. Exclusion criteria were pneumonia or antibiotic treatment upon hospital admission, treatment elsewhere > 24 h, or death < 48 h. Croce's model used eight clinical variables-on trauma severity and treatment, available in the emergency department-to predict nosocomial pneumonia risk. The model's predictive performance was assessed through discrimination and calibration before and after re-estimating the model's coefficients. In sensitivity analysis, the model was updated using Ridge regression. RESULTS: 809 Patients were included (median age 51y, 67% male, 97% blunt trauma), of whom 86 (11%) developed nosocomial pneumonia. Pneumonia patients were older, more severely injured, and underwent more emergent interventions. Croce's model showed good discrimination (AUC 0.83, 95% CI 0.79-0.87), yet predicted probabilities were too low (mean predicted risk 6.4%), and calibration was suboptimal (calibration slope 0.63). After full model recalibration, discrimination (AUC 0.84, 95% CI 0.80-0.88) and calibration improved. Adding age to the model increased the AUC to 0.87 (95% CI 0.84-0.91). Prediction parameters were similar after the models were updated using Ridge regression. CONCLUSION: The externally validated and intercept-recalibrated models show good discrimination and have the potential to predict nosocomial pneumonia. At this time, clinicians could apply these models to identify high-risk patients, increase patient monitoring, and initiate preventative measures. Recalibration of Croce's model improved the predictive performance (discrimination and calibration). The recalibrated model provides a further basis for nosocomial pneumonia prediction in level-1 trauma patients. Several models are accessible via an online tool. LEVEL OF EVIDENCE: Level III, Prognostic/Epidemiological Study.

Non-ventilator associated hospital acquired pneumonia (NV-HAP) risk among hospitalized veterans before and during the COVID-19 pandemic.

BACKGROUND: Among hospitalized US Veterans, the rate of non-ventilator associated hospital acquired pneumonia (NV-HAP) decreased between 2015 and 2020 then increased following the onset of 2019-nCoV (COVID-19). METHODS: Veterans admitted to inpatient acute care for ≥48 hours at 135 Department of Veterans Affairs Medical Centers between 2015 and 2021 were identified (n = 1,567,275). Non-linear trends in NV-HAP incidence were estimated using generalized additive modeling, adjusted for seasonality and patient risk factors. RESULTS: The incidence rate (IR) of NV-HAP decreased linearly by 32% (95% CI: 63-74) from 10/1/2015 to 2/1/2020, translating to 337 fewer NV-HAP cases. Following the US onset of the COVID-19 pandemic in February 2020, the NV-HAP IR increased by 25% (95% CI: 14-36) among Veterans without COVID-19 and 108% (95% CI: 178-245) among Veterans with COVID-19, resulting in an additional 50 NV-HAP cases and $5,042,900 in direct patient care costs 12-months post admission. DISCUSSION: This increase in NV-HAP rates could be driven by elevated risk among Veterans with COVID-19, decreased prevention measures during extreme COVID-19 related system stress, and increased patient acuity among hospitalized Veterans during the first year of the pandemic. CONCLUSIONS: Basic nursing preventive measures that are resilient to system stress are needed as well as population surveillance to rapidly identify changes in NV-HAP risk.

Hospital-acquired pneumonia pattern in the intensive care units of a governmental hospital: A prospective longitudinal study.

Background: Epidemiological data on Hospital-Acquired Pneumonia (HAP) are scarce inside Intensive Care Units (ICUs). Aim: This study aims to quantify the incidence of HAP, determine the predictors of HAP, calculate HAP-related mortality risk ratio as well as pinpoint the different risk factors contributing to mortality. Subjects and Methods: A prospective longitudinal study was conducted at a governmental hospital's general ICUs over 12 months. We included adult patients admitted for at least 72 h before signs appear. We utilized a logistic regression model for fatality outcome and cox proportional hazard model for HAP outcome. Results: Of 356 patients, 133 patients developed Ventilated-Acquired Pneumonia (VAP), 76 patients with Non-Ventilated HAP (NV-HAP), as well as 147 patients did not acquire HAP. The incidence of HAP was 28 cases of HAP per 1000 person-days, as well as the mortality rate was 74 per 100 days, while the Attributable Risk Percentage (ARP) was 85%. This high fatality rate was clarified by independent predictors as reintubation (odds ratio [OR] = 8.99, P < 0.001), ICU duration ≥5 days (OR = 7.29, P = 0.02), HAP outcome (OR = 6.49, P = 0.001), diabetes mellitus (DM) (OR = 2.98, P = 0.004), APACHE II ≥17 (OR = 2.76, P = 0.004), as well as neurological diseases (OR = 2.20, P = 0.03). The most common independent HAP predictors were Pseudomonas aeruginosa (Hazard Ratio [HR] = 2.27, P < 0.001), Klebsiella pneumoniae (HR = 1.81, P = 0.003), tracheostomy (HR = 1.72, P = 0.04), and APACHE II ≥17 (HR = 1.54, P = 0.04). Conclusion: High incidence rate of HAP was linked with P. aeruginosa, K. pneumoniae, tracheostomy, and APACHE II ≥17. Furthermore, a high mortality rate was strongly correlated with reintubation, duration in ICU ≥5 days, HAP outcome, DM, APACHE II ≥17, and neurological diseases.

Résumé Contexte: Les données épidémiologiques sur la pneumonie acquise dans les hôpitaux (HAP) sont rares dans les unités de soins intensifs (ICUs). Objectif: ce L'étude vise à quantifier l'incidence du HAP, à déterminer les facteurs prédictifs du HAP, à calculer le ratio de risque de mortalité lié au HAP ainsi qu'à identifier les différents facteurs de risque contribuant à la mortalité. Sujets et méthodes: Une étude longitudinale prospective a été menée à les unités de soins intensifs générales d'un hôpital gouvernemental sur 12 mois. Nous avons inclus les patients adultes admis depuis au moins 72 h avant l'apparition des signes. Nous ont utilisé un modèle de régression logistique pour les résultats en matière de décès et un modèle de risque proportionnel de Cox pour les résultats HAP. Résultats: Sur 356 patients, 133 patients ont développé une Pneumonie Acquise sous Ventilation (VAP), 76 patients avec une NV-HAP, ainsi que 147 patients n'a pas acquis HAP. L'incidence du HAP était de 28 cas de HAP pour 1000 jours-personnes, ainsi que le taux de mortalité, de 74 pour 100 jours, alors que le pourcentage de risque attribuable (ARP) était de 85 %. Ce taux de mortalité élevé a été clarifié par des prédicteurs indépendants comme réintubation (odds ratio [OR] = 8,99, P < 0,001), durée de ICU ≥ 5 jours (OR = 7,29, P = 0,02), résultat HAP (OR = 6,49, P = 0,001), le diabète sucré (DM) (OR = 2,98, P = 0,004), APACHE II ≥17 (OR = 2,76, P = 0,004), ainsi que les maladies neurologiques (OR = 2,20, P = 0,03). Les prédicteurs indépendants de HAP les plus courants étaient Pseudomonas aeruginosa (Hazard Ratio [HR] = 2,27, P < 0,001), Klebsiella pneumoniae (HR = 1,81, P = 0,003), trachéotomie (HR = 1,72, P = 0,04) et APACHE II ≥ 17 (HR = 1,54, P = 0,04). Conclusion: Le taux d'incidence élevé de HAP était lié à P. aeruginosa, K. pneumoniae, trachéotomie et APACHE II ≥17. De plus, un taux de mortalité élevé était fortement corrélé à la réintubation, à la durée en ICU ≥ 5 jours, au résultat HAP, au DM, à l'APACHE II ≥17, et maladies neurologiques. Mots-clés: Pneumonie nosocomiale, incidence, unités de soins intensifs, facteurs de risque, trachéotomie.

Incidence, mortality, and cost trends in nonventilator hospital-acquired pneumonia in medicaid beneficiaries, 2015-2019.

Nonventilator hospital-acquired pneumonia is associated with substantial morbidity, mortality, and costs during an episode of acute care. We examined NVHAP incidence, mortality, and costs of Medicaid beneficiaries over a 5-year period (2015-2019). Overall NVHAP incidence was 2.63 per 1,000 patient days, and mortality was 7.76%, with an excess cost per NVHAP case of $20,189.

The association between accessing dental services and nonventilator hospital-acquired pneumonia among 2019 Medicaid beneficiaries.

In this 2019 cross-sectional study, we analyzed hospital records for Medicaid beneficiaries who acquired nonventilator hospital-acquired pneumonia. The results suggest that preventive dental treatment in the 12 months prior or periodontal therapy in the 6 months prior to a hospitalization is associated with a reduced risk of NVHAP.

Hospital-acquired pneumonia is more frequent and lethal in stroke patients: A nationwide 4-year study.

We report a higher incidence of hospital-acquired pneumonia (HAP) in patients admitted with stroke (odds ratio, 5.6; 95% CI, 5.4-5.8). Patients with HAP and stroke had an elevated risk of death (odds ratio, 1.2; 95% CI, 1.1-1.3). The incidence and mortality of HAP in stroke patients increased across all age groups.

Evaluation of the factors affecting long-term mortality in geriatric patients followed up in intensive care unit due to hospital-acquired pneumonia.

Aging is a normal physiological process involving changes in the respiratory system, thereby causing an increased incidence of pulmonary infections such as hospital-acquired pneumonia (HAP). The primary aim of this study was to investigate the role of acute-phase reactants and inflammation-based biomarkers in predicting 90-day mortality in patients aged over 65 years who were hospitalized in the intensive care unit (ICU) due to HAP. Clinical records of patients aged ≥65 years who were diagnosed as having HAP and were followed up in ICU were retrospectively evaluated. One hundred and fifteen ICU patients (67.8% male, mean age 76.81 ±â€…7.480 years) were studied. Ninety-day mortality occurred in 43 (37.4%) patients. Red cell distribution (RDW, %), mean platelet volume (MPV, f/L), white blood cell count (WBC, 103/µL), C-reactive protein (CRP, mg/L), and procalcitonin (PCT, ng/mL) median values were 18.2 (13.7-35.6), 7.42 (5.66-11.2), 14.3 (3.21-40), 9.58 (0.12-32), 0.41 (0.05-100) in the group with 90-day mortality. In the Receiver Operator Characteristics Curve analysis, a WBC value 18.2 × 10ˆ3/µL predicted 90-day independent mortality with a sensitivity of 90.70% and specificity of 31.94% (P = .029). The results indicated that serum WBC level can be used for predicting long-term mortality and prognosis in HAP patients aged over 65 years. High WBC value was statistically significant in predicting 90-day independent mortality (P < .05).

Including Organ Dysfunctions in a Predictive Score for Nosocomial Pneumonia After Cardiothoracic Surgery.

BACKGROUND: Clinical diagnosis of ICU-acquired pneumonia after cardiothoracic surgery is challenging. Johanson criteria (chest radiograph infiltrate, purulent tracheal secretions, fever, and leukocytosis) fail in half the cases. A high Clinical Pulmonary Infection Score (CPIS) and ≥ 2-point increase in Sequential Organ Failure Assessment (SOFA) score (SOFA↑ ≥ 2) may improve diagnosis. The aim of the study was to evaluate whether CPIS or SOFA↑ ≥ 2 contributes to predict ICU-acquired pneumonia in subjects after cardiothoracic surgery. METHODS: We used a prospective observational design. Spiegelhalter-Knill-Jones scoring systems including CPIS or SOFA↑ ≥ 2, together with other clinical and laboratory variables, were developed in a derivation cohort. A positive quantitative pulmonary sample culture was required to confirm ICU-acquired pneumonia. Area under the receiver operating characteristic curve (AUROC) was computed for each of the 2 scoring systems. The best system was evaluated in a validation cohort. RESULTS: Derivation and validation cohorts included 172 and 108 subjects, with 410 and 216 suspected ICU-acquired pneumonia episodes, respectively. AUROC was 0.53 ± 0.03 for CPIS (P = .29) and 0.54 ± 0.03 for SOFA↑ ≥ 2 (P = .29). Adding purulent tracheal secretions and leukocytosis to SOFA↑ ≥ 2 (SOFA model) increased AUROC to 0.65 ± 0.03 (P < .001). Adding catecholamine use to CPIS (CPIS model) increased AUROC only slightly, to 0.57 ± 0.03. The probabilities predicted by the SOFA model were reliable, especially when high or low. CONCLUSIONS: A clinical scoring system including at least SOFA↑ ≥ 2 increase barely improved ICU-acquired pneumonia prediction in subjects after cardiothoracic surgery.

Strategies to prevent ventilator-associated pneumonia, ventilator-associated events, and nonventilator hospital-acquired pneumonia in acute-care hospitals: 2022 Update.

The purpose of this document is to highlight practical recommendations to assist acute care hospitals to prioritize and implement strategies to prevent ventilator-associated pneumonia (VAP), ventilator-associated events (VAE), and non-ventilator hospital-acquired pneumonia (NV-HAP) in adults, children, and neonates. This document updates the Strategies to Prevent Ventilator-Associated Pneumonia in Acute Care Hospitals published in 2014. This expert guidance document is sponsored by the Society for Healthcare Epidemiology (SHEA), and is the product of a collaborative effort led by SHEA, the Infectious Diseases Society of America, the American Hospital Association, the Association for Professionals in Infection Control and Epidemiology, and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise.

Modifiable and nonmodifiable risk factors for non-ventilator-associated hospital-acquired pneumonia identified in a retrospective cohort study.

OBJECTIVES: Hospital-acquired pneumonia in nonventilated patients (nvHAP) belongs to the most common healthcare-associated infections. This study aimed to investigate risk factors for nvHAP in patients outside the intensive care unit, focusing on modifiable risk factors. METHODS: All inpatients admitted to an academic teaching hospital in Switzerland between 2017 and 2018 were included. nvHAP was defined according to European Centre for Disease Prevention and Control criteria. Patient days during and after ICU stay were excluded. Candidate risk factors-both constant and time varying-were included in uni- and multivariable Cox proportional hazards models. The decay ratio and the characteristic time of influence of hazard ratios (HRs) was estimated by adopting a linear decay in the Cox model. RESULTS: A total of 66 001 hospitalizations with 314 (0.48%) nvHAP and 471 401 patient days were included. Median age was 57 years (interquartile range: 38 to 71 years) and 32 253 (48.9%) patients were male. Among nonmodifiable risk factors, age (adjusted HR (aHR) 2.66 for age ≥60 years, 95% CI 1.59 to 4.45) and male sex (aHR 1.71, 95% CI 1.34 to 2.18) were independently associated with nvHAP. Time-varying exposures showing strongest independent association with nvHAP were tube feeding (aHR 3.24, 95% CI 2.17 to 4.83), impaired consciousness (aHR 2.32, 95% CI 1.63 to 3.31), and severely impaired activity and mobility (aHR 2.06, 95% CI 1.50 to 2.84). The association with nvHAP decayed within 7.1 to 13.2 days after these exposures ended. DISCUSSION: The risk for nvHAP varies with time, depending on the patient's medical condition and medical interventions. Several risk factors for nvHAP represent potential targets for specific prevention measures.

Prospective multicenter survey for Nursing and Healthcare-associated Pneumonia in Japan.

INTRODUCTION: Nursing and healthcare-associated pneumonia (NHCAP) was proposed by the Japanese Respiratory Society in 2011. However, the clinical characteristics of NHCAP are still unclear. Thus, this study aimed to clarify its clinical characteristics. METHODS: This multicenter prospective observational study included 596 patients with NHCAP from 73 centers in Japan between May 2014 and February 2016. RESULTS: Patient background was characterized by an older age (81.5 ± 10.1 years), most patients had complications (94.1%), and many patients had a high probability of aspiration pneumonia (68.6%). Among the isolates, Streptococcus pneumoniae was the most common (12.7%), while Pseudomonas aeruginosa was also isolated at 10.8%. The overall 30-day mortality rate for patients was 11.9%, and the factors affecting mortality were non-ambulatory status, high blood urea nitrogen level, impaired consciousness, and low albumin level. Sulbactam/ampicillin was the most commonly administered antibiotic, including in groups with high severity of illness and high risk of multidrug-resistant (MDR) pathogens. Both the A-DROP and I-ROAD scores were useful in predicting the prognosis of NHCAP. Confirmation of intention to provide do not attempt resuscitation (DNAR) instructions was given to 333 patients (55.9%), and 313 patients agreed to DNAR instructions. CONCLUSIONS: NHCAP tends to occur in elderly patients with underlying diseases. The risk of MDR pathogens and the mortality rate are intermediate for community-acquired pneumonia and hospital-acquired pneumonia. As NHCAP is considered an important concept in an aging society, such as in Japan, establishing a treatment strategy that considers not only prognosis but also quality of life would be beneficial.

Microbiology, empiric therapy and its impact on the outcomes of nonventilated hospital-acquired, ventilated hospital-acquired, and ventilator-associated bacterial pneumonia in the United States, 2014-2019.

OBJECTIVE: To explore whether microbiology profiles and the impact of inappropriate empiric treatment differ in the setting of hospital-acquired bacterial pneumonia that requires subsequent mechanical ventilation (vHABP) versus one that does not (nvHABP) versus ventilator-associated bacterial pneumonia (VABP). DESIGN: Multicenter retrospective cohort study within Premier Research database, 2014-2019. METHODS: We identified cases based on a previously published International Classification of Disease, Ninth Revision/Tenth Revision Clinical Modification (ICD-9/ICD-10-CM) algorithm, and we compared the 3 groups with respect to the bacterial pathogens isolated from their blood, sputum, or lower airway samples, and their respective rates of exposure to inappropriate empiric treatment. Using regression modeling we computed the effect of inappropriate empiric treatment on outcomes. RESULTS: Among 17,819 patients who met enrollment criteria, 26.5% had nvHABP, 25.6% vHAPB, and 47.9% VABP. S. aureus (majority methicillin-susceptible) was the most frequently isolated organism, followed P. aeruginosa, K. pneumoniae, and E. coli with variations across the conditions. Rates of carbapenem resistance were highest in VABP (9.1%) and to third-generation cephalosporins in vHABP (14.9%). Patients with nvHABP were most likely to receive inappropriate empiric treatment (8.5%). Although inappropriate empiric treatment was associated with an increase in adjusted postinfection-onset hospital length of stay (2.3 days) and cost ($12,142), its greatest magnitude was in the nvHABP group (4.9 days, $13,147). CONCLUSIONS: Substantial microbiologic differences exist among populations who suffer nvHABP, vHABP, and VABP, and inappropriate empiric treatment significantly worsens utilization outcomes. Given the moderate rates of carbapenem resistance and third-generation cephalosporin resistance, all patients require empiric coverage for a range of bacteria, including those targeting extended-spectrum ß-lactamase and carbapenem resistance where appropriate.

Comprehensive risk assessment for hospital-acquired pneumonia: sociodemographic, clinical, and hospital environmental factors associated with the incidence of hospital-acquired pneumonia.

BACKGROUND: Social and hospital environmental factors that may be associated with hospital-acquired pneumonia (HAP) have not been evaluated. Comprehensive risk assessment for the incidence of HAP including sociodemographic, clinical, and hospital environmental factors was conducted using national health insurance claims data. METHODS: This is a population-based retrospective cohort study of adult patients who were hospitalized for more than 3 days from the Health Insurance Review and Assessment Service-National Inpatient Sample data between January 1, 2016 and December 31, 2018 in South Korea. Multivariable logistic regression analyses were conducted to identify the factors associated with the incidence of HAP. RESULTS: Among the 512,278 hospitalizations, we identified 25,369 (5.0%) HAP cases. In multivariable analysis, well-known risk factors associated with HAP such as older age (over 70 vs. 20-29; adjusted odds ratio [aOR], 3.66; 95% confidence interval [CI] 3.36-3.99), male sex (aOR, 1.35; 95% CI 1.32-1.39), pre-existing lung diseases (asthma [aOR, 1.73; 95% CI 1.66-1.80]; chronic obstructive pulmonary disease [aOR, 1.62; 95% CI 1.53-1.71]; chronic lower airway disease [aOR, 1.79; 95% CI 1.73-1.85]), tube feeding (aOR, 3.32; 95% CI 3.16-3.50), suctioning (aOR, 2.34; 95% CI 2.23-2.47), positioning (aOR, 1.63; 95% CI 1.55-1.72), use of mechanical ventilation (aOR, 2.31; 95% CI 2.15-2.47), and intensive care unit admission (aOR, 1.29; 95% CI 1.22-1.36) were associated with the incidence of HAP. In addition, poverty (aOR, 1.08; 95% CI 1.04-1.13), general hospitals (aOR, 1.54; 95% CI 1.39-1.70), higher bed-to-nurse ratio (Grade ≥ 5; aOR, 1.45; 95% CI 1.32-1.59), higher number of beds per hospital room (6 beds; aOR, 3.08; 95% CI 2.77-3.42), and ward with caregiver (aOR, 1.19; 95% CI 1.12-1.26) were related to the incidence of HAP. CONCLUSIONS: The incidence of HAP was associated with various sociodemographic, clinical, and hospital environmental factors. Thus, taking a comprehensive approach to prevent and treat HAP is important.