Impact of preexisting pulmonary fibrosis detected on chest radiograph and CT on the development of gefitinib-related interstitial lung disease

Risk factors for interstitial lung disease in patients with non-small cell lung cancer with epidermal growth factor receptor-tyrosine kinase inhibitors: A systematic review and meta-analysis

BACKGROUND

The use of epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) can potentially result in interstitial lung disease (ILD), which can substantially impact a patient's quality of life, subsequently leading to the interruption or discontinuation of EGRF-TKI treatment. Clinicians, therefore, need to thoroughly assess patients to determine if they are at risk for ILD.

METHODS

We searched for observational study in the following databases: MEDLINE via the PubMed, CENTRAL, and IchushiWeb. The primary outcome was risk factors for the development of ILD, while the secondary outcome was risk factors for the severity of ILD. Of the 1602 studies returned, we selected 11 for meta-analysis, performed using a random-effects model.

RESULTS

Risk factors for developing ILD were sex (odds ratio (OR), 1.87; 95% confidence interval (CI), 1.08-3.22; I2 = 0%; P = 0.02), smoking history (OR, 2.13; 95% CI, 1.51-3.00; I2 = 3 4%; P = 0.0001), and history of ILD (OR = 5.95; 95% CI, 3.34-10.59; I2 = 67%; P = 0.0009). Age, previous thoracic surgery or radiotherapy, performance status, histological type of lung cancer, and treatment line were not statistically significant risk factors for ILD. Risk factors identified in one study were serum albumin level, history of nivolumab use, radiographic residual lung volume, and history of pulmonary infection.

CONCLUSIONS

We identified risk factors for developing ILD in patients with non-small cell lung cancer treated with EGFR-TKIs.

Predicting Persistent Acute Respiratory Failure in Acute Pancreatitis: The Accuracy of Two Lung Injury Indices

BACKGROUND/AIMS

Early and accurate identification of patients with acute pancreatitis (AP) at high risk of persistent acute respiratory failure (PARF) is crucial. We sought to determine the accuracy of simplified Lung Injury Prediction Score (sLIPS) and simplified Early Acute Lung Injury (sEALI) for predicting PARF in ward AP patients.

METHODS

Consecutive AP patients in a training cohort from West China Hospital of Sichuan University (n = 912) and a validation cohort from The First Affiliated Hospital of Nanchang University (n = 1033) were analyzed. PARF was defined as oxygen in arterial blood/fraction of inspired oxygen < 300 mmHg that lasts for > 48 h. The sLIPS was composed by shock (predisposing condition), alcohol abuse, obesity, high respiratory rate, low oxygen saturation, high oxygen requirement, hypoalbuminemia, and acidosis (risk modifiers). The sEALI was calculated from oxygen 2 to 6 L/min, oxygen > 6 L/min, and high respiratory rate. Both indices were calculated on admission.

RESULTS

PARF developed in 16% (145/912) and 22% (228/1033) (22%) of the training and validation cohorts, respectively. In these patients, sLIPS and sEALI were significantly increased. sLIPS ≥ 2 predicted PARF in the training (AUROC 0.87, 95% CI 0.84-0.89) and validation (AUROC 0.81, 95% CI 0.78-0.83) cohorts. sLIPS was significantly more accurate than sEALI and current clinical scoring systems in both cohorts (all P < 0.05).

CONCLUSIONS

Using routinely available clinical data, the sLIPS can accurately predict PARF in ward AP patients and outperforms the sEALI and current existing clinical scoring systems.

Risk factors for pneumonitis in advanced extrapulmonary cancer patients treated with immune checkpoint inhibitors

BACKGROUND

Immune-mediated pneumonitis has a high mortality rate; however, information regarding the related risk factors remains limited. This study aimed to analyze risk factors for pneumonitis, including smoking and lung metastasis (LM), in patients with extrapulmonary primary tumors.

METHODS

Data of 110 patients treated with immune checkpoint inhibitors (ICIs) (nivolumab/pembrolizumab) for treating extrapulmonary primary tumors at the Shiga University of Medical Science Hospital between January 2015 and December 2019 were retrospectively collected. The association between the onset of pneumonitis and treatment-related factors was analyzed by logistic regression. The severity of pneumonitis was graded according to the Common Terminology Criteria for Adverse Events version 5.0. Risk factors, such as the absence or presence of interstitial lung disease (ILD) and LM, or other clinical factors, including smoking status before ICI administration, were analyzed.

RESULTS

Multivariate analyses indicated that the amount of smoking was significantly associated with an increase in the development of all-grade pneumonitis types (odds ratio (OR) = 20.33, 95% confidence interval (CI) = 20.03-20.66; p = 0.029). LM and ILD were significantly related to an increase in the development of symptomatic pneumonitis (≥ Grade 2) (OR = 10.08, 95% CI = 1.69-199.81; p = 0.076, and OR = 6.76, 95% CI = 1.13-40.63; p = 0.037, respectively).

CONCLUSIONS

Pre-screening for ILD and LM and recognizing patients' smoking history is important for determining the risk of ICI-induced pneumonitis and allowing safe ICI administration.

Pretransplant Risk Factors Can Predict Development of Acute Respiratory Distress Syndrome after Hematopoietic Stem Cell Transplantation

Rationale: Acute respiratory distress syndrome (ARDS) is a common complication after hematopoietic stem cell transplantation (HCT) and is a major contributor to nonrelapse mortality. Objectives: To better understand pretransplant risk factors for developing ARDS after HCT. Methods: This is a single-center observational study comparing risk factors for ARDS development in 164 patients who went on to develop post-HCT ARDS compared with 492 patients who did not. The patients were matched 1 to 3 on age, sex, type of transplant (allogeneic vs. autologous), and underlying disease. Pertinent risk factors were analyzed separately in multivariable conditional logistic regression after adjustment for a priori variables known to be associated with ARDS development. Results: Patients with ARDS were more likely to have a lower pretransplant pulmonary function as measured by forced vital capacity (FVC) (odds ratio [OR], 0.54 [0.42-0.70] per liter increase in FVC; P < 0.001), forced expiratory volume in one second (FEV₁) (OR, 0.52 [0.38-0.71] per liter increase in FEV₁; P < 0.001) and diffusing capacity (OR, 0.92 [0.88-0.96] per ml/min/mm Hg increase in diffusing capacity; P < 0.001). Several laboratory indices were predictive of subsequent ARDS development including elevated AST (aspartate aminotransferase) (OR, 1.01 [1.00-1.01]; P < 0.008), lower serum albumin (OR, 0.44 [0.30-0.66]; P < 0.001), lower pretransplant hemoglobin (OR, 0.82 [0.73-0.92]; P = 0.001), and lower leukocyte count (OR, 0.88 [0.79-0.99]; P < 0.03). Patients who went on to develop ARDS were more likely to have been hospitalized in the year before the transplant (OR, 1.11 [1.04-1.20]; P = 0.003), and required invasive or noninvasive ventilation during that hospitalization. Lastly, patients with ARDS were significantly more likely to have received carboplatin, thalidomide, methotrexate, and cisplatin than the non-ARDS control subjects. Conclusions: Several risk factors for developing ARDS after HCT are identifiable at the time of transplantation, well before the development of critical illness and ARDS. The identification of risk factors long before ARDS develops is relatively unique to the HCT population. Further work is needed to develop usable risk prediction tools in this setting.

Tyrosine Kinase Inhibitor-Induced Interstitial Lung Disease: Clinical Features, Diagnostic Challenges, and Therapeutic Dilemmas

Since the approval of the first molecularly targeted tyrosine kinase inhibitor (TKI), imatinib, in 2001, TKIs have heralded a new era in the treatment of many cancers. Among their innumerable adverse effects, interstitial lung disease (ILD) is one of the most serious, presenting most frequently with dyspnea, cough, fever, and hypoxemia, and often treated with steroids. Of the 28 currently approved TKIs, 16 (57 %) are reported to induce ILD with varying frequency and/or severity. The interval from drug administration to onset of ILD varies between patients and between TKIs, with no predictable time course. Its incidence is variously reported to be approximately 1.6-4.3 % in Japanese populations and 0.3-1.0 % in non-Japanese populations. The mortality rate is in the range of 20-50 %. Available evidence (primarily following the use of erlotinib and gefitinib in Japan because of the unique susceptibility of that population) has identified a number of susceptibility and prognostic risk factors (male sex, a history of smoking, and pre-existing pulmonary fibrosis being the main ones). Although the precise mechanism is not understood, collective evidence suggests that immune factors may be involved. If TKI-induced ILD is confirmed by thorough evaluation of the patient and exclusion of other causes, management is supportive, and includes discontinuation of the culprit TKI and administration of steroids. Discontinuing the culprit TKI presents a clinical dilemma because the diagnosis of TKI-induced ILD in a patient with pre-existing pulmonary fibrosis can be challenging, the patient may have TKI-responsive cancer with no suitable alternative, and switching to an alternative agent, even if available, carries the risk of the patient experiencing other toxic effects. Preliminary evidence suggests that therapy with the culprit TKI may be continued under steroid cover and/or at a reduced dose. However, this approach requires careful individualized risk-benefit analysis and further clinical experience.

Comorbidities in the management of patients with lung cancer

Lung cancer represents a major public health issue worldwide. Unfortunately, more than half of them are diagnosed at an advanced stage. Moreover, even if diagnosed early, diagnosis procedures and treatment can be difficult due to the frequent comorbidities observed in these patients. Some of these comorbidities have a common major risk factor, i.e. smoking, whereas others are unrelated to smoking but frequently observed in the general population. These comorbidities must be carefully assessed before any diagnostic and/or therapeutic decisions are made regarding the lung cancer. For example, in a patient with severe emphysema or with diffuse lung fibrosis, transthoracic needle biopsy can be contraindicated, meaning that in some instances a precise diagnosis cannot be obtained; in a patient with chronic obstructive pulmonary disease, surgery may be impossible or should be preceded by intensive rehabilitation; patients with interstitial lung disease are at risk of radiation pneumonitis and should not receive drugs which can worsen the respiratory insufficiency. Patients who belong to what are called "special populations", e.g. elderly or HIV infected, should be treated specifically, especially regarding systemic treatment. Last but not least, psychosocial factors are of great importance and can vary from one country to another according to health insurance coverage.

Predicting risk of postoperative lung injury in high-risk surgical patients: a multicenter cohort study

BACKGROUND

Acute respiratory distress syndrome (ARDS) remains a serious postoperative complication. Although ARDS prevention is a priority, the inability to identify patients at risk for ARDS remains a barrier to progress. The authors tested and refined the previously reported surgical lung injury prediction (SLIP) model in a multicenter cohort of at-risk surgical patients.

METHODS

This is a secondary analysis of a multicenter, prospective cohort investigation evaluating high-risk patients undergoing surgery. Preoperative ARDS risk factors and risk modifiers were evaluated for inclusion in a parsimonious risk-prediction model. Multiple imputation and domain analysis were used to facilitate development of a refined model, designated SLIP-2. Area under the receiver operating characteristic curve and the Hosmer-Lemeshow goodness-of-fit test were used to assess model performance.

RESULTS

Among 1,562 at-risk patients, ARDS developed in 117 (7.5%). Nine independent predictors of ARDS were identified: sepsis, high-risk aortic vascular surgery, high-risk cardiac surgery, emergency surgery, cirrhosis, admission location other than home, increased respiratory rate (20 to 29 and ≥30 breaths/min), FIO2 greater than 35%, and SpO2 less than 95%. The original SLIP score performed poorly in this heterogeneous cohort with baseline risk factors for ARDS (area under the receiver operating characteristic curve [95% CI], 0.56 [0.50 to 0.62]). In contrast, SLIP-2 score performed well (area under the receiver operating characteristic curve [95% CI], 0.84 [0.81 to 0.88]). Internal validation indicated similar discrimination, with an area under the receiver operating characteristic curve of 0.84.

CONCLUSIONS

In this multicenter cohort of patients at risk for ARDS, the SLIP-2 score outperformed the original SLIP score. If validated in an independent sample, this tool may help identify surgical patients at high risk for ARDS.

Antineoplastic therapy-induced pulmonary toxicity

Pulmonary complications of antineoplastic therapy are common and are an important cause of respiratory morbidity. The pulmonary toxicity should be taken into account in every patient with respiratory problems who is or has been treated with antineoplastic agents. The diagnosis of drug-induced pulmonary toxicity is complex and should be based on the medical history, clinical, radiological and pathological findings. None of them are specific but they can guide the diagnostic process. The treatment of pulmonary abnormalities caused by chemotherapy is mostly supportive and based on cessation of the causative agent. However, the therapeutic options in oncology setting are usually limited thus the decision about changing the treatment should be taken with caution.

Association of prehospitalization aspirin therapy and acute lung injury: results of a multicenter international observational study of at-risk patients

OBJECTIVE

To evaluate the association between prehospitalization aspirin therapy and incident acute lung injury in a heterogeneous cohort of at-risk medical patients.

DESIGN

This is a secondary analysis of a prospective multicenter international cohort investigation.

SETTING

Multicenter observational study including 20 US hospitals and two hospitals in Turkey.

PATIENTS

Consecutive, adult, nonsurgical patients admitted to the hospital with at least one major risk factor for acute lung injury.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Baseline characteristics and acute lung injury risk factors/modifiers were identified. The presence of aspirin therapy and the propensity to receive this therapy were determined. The primary outcome was acute lung injury during hospitalization. Secondary outcomes included intensive care unit and hospital mortality and intensive care unit and hospital length of stay. Twenty-two hospitals enrolled 3855 at-risk patients over a 6-month period. Nine hundred seventy-six (25.3%) were receiving aspirin at the time of hospitalization. Two hundred forty (6.2%) patients developed acute lung injury. Univariate analysis noted a reduced incidence of acute lung injury in those receiving aspirin therapy (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.46-0.90; p = .010). This association was attenuated in a stratified analysis based on deciles of aspirin propensity scores (Cochran-Mantel-Haenszel pooled OR, 0.70; 95% CI, 0.48-1.03; p = .072).

CONCLUSIONS

After adjusting for the propensity to receive aspirin therapy, no statistically significant associations between prehospitalization aspirin therapy and acute lung injury were identified; however, a prospective clinical trial to further evaluate this association appears warranted.

Derivation and diagnostic accuracy of the surgical lung injury prediction model

BACKGROUND

Acute lung injury (ALI) is a serious postoperative complication with limited treatment options. A preoperative risk-prediction model would assist clinicians and scientists interested in ALI. The objective of this investigation was to develop a surgical lung injury prediction (SLIP) model to predict risk of postoperative ALI based on readily available preoperative risk factors.

METHODS

Secondary analysis of a prospective cohort investigation including adult patients undergoing high-risk surgery. Preoperative risk factors for postoperative ALI were identified and evaluated for inclusion in the SLIP model. Multivariate logistic regression was used to develop the model. Model performance was assessed with the area under the receiver operating characteristic curve and the Hosmer-Lemeshow goodness-of-fit test.

RESULTS

Out of 4,366 patients, 113 (2.6%) developed early postoperative ALI. Predictors of postoperative ALI in multivariate analysis that were maintained in the final SLIP model included high-risk cardiac, vascular, or thoracic surgery, diabetes mellitus, chronic obstructive pulmonary disease, gastroesophageal reflux disease, and alcohol abuse. The SLIP score distinguished patients who developed early postoperative ALI from those who did not with an area under the receiver operating characteristic curve (95% CI) of 0.82 (0.78-0.86). The model was well calibrated (Hosmer-Lemeshow, P = 0.55). Internal validation using 10-fold cross-validation noted minimal loss of diagnostic accuracy with a mean ± SD area under the receiver operating characteristic curve of 0.79 ± 0.08.

CONCLUSIONS

Using readily available preoperative risk factors, we developed the SLIP scoring system to predict risk of early postoperative ALI.

Clarification of clinical features of interstitial lung disease induced by irinotecan based on postmarketing surveillance data and spontaneous reports

Irinotecan-induced interstitial lung disease (ILD) requires accurate diagnosis, followed by prompt and appropriate treatment. This study was conducted to compile information and imaging data to define the characteristics of irinotecan-induced ILD. Searches were performed on information collected for a drug reexamination application and on data from spontaneous safety reports submitted to Daiichi Sankyo Company, Limited. These database searches revealed 153 cases of serious ILD that occurred in association with irinotecan therapy, and which were reported as adverse drug reactions. Computed tomographic findings obtained after the onset of ILD were categorized based on four typical patterns. A total of 66 patients (including 15 for whom a relationship between death and serious ILD could not be excluded; incidence of serious ILD: 0.74%; death rate of ILD: 0.17%) were detected during the postmarketing surveillance along with 87 patients (22 deaths) that were identified from spontaneous reports. Within 16 weeks of starting treatment, 80.7% of the patients developed ILD. A total of 61.3% of the cases treated using steroids responded to the steroid therapy. These results indicate that there is no specific clinical or imaging feature associated with ILD related to irinotecan and that the prognosis of ILD related to irinotecan was poor in patients with preexisting ILD. The relative risk calculated for the association between preexisting ILD and death was 2.25 (P=0.29). During irinotecan treatments, patients need to be carefully observed for symptoms, especially at 16 weeks after starting treatment. In addition, when patients are receiving this type of therapy, they also need to undergo chest imaging studies.

Derivation and validation of automated electronic search strategies to identify pertinent risk factors for postoperative acute lung injury

OBJECTIVE

To develop and validate time-efficient automated electronic search strategies for identifying preoperative risk factors for postoperative acute lung injury.

PATIENTS AND METHODS

This secondary analysis of a prospective cohort study included 249 patients undergoing high-risk surgery between November 1, 2005, and August 31, 2006. Two independent data-extraction strategies were compared. The first strategy used a manual review of medical records and the second a Web-based query-building tool. Web-based searches were derived and refined in a derivation cohort of 83 patients and subsequently validated in an independent cohort of 166 patients. Agreement between the 2 search strategies was assessed with percent agreement and Cohen κ statistics.

RESULTS

Cohen κ statistics ranged from 0.34 (95% confidence interval, 0.00-0.86) for amiodarone to 0.85 for cirrhosis (95% confidence interval, 0.57-1.00). Agreement between manual and automated electronic data extraction was almost complete for 3 variables (diabetes mellitus, cirrhosis, H(2)-receptor antagonists), substantial for 3 (chronic obstructive pulmonary disease, proton pump inhibitors, statins), moderate for gastroesophageal reflux disease, and fair for 2 variables (restrictive lung disease and amiodarone). Automated electronic queries outperformed manual data collection in terms of sensitivities (median, 100% [range, 77%-100%] vs median, 87% [range, 0%-100%]). The specificities were uniformly high (≥ 96%) for both search strategies.

CONCLUSION

Automated electronic query building is an iterative process that ultimately results in accurate, highly efficient data extraction. These strategies may be useful for both clinicians and researchers when determining the risk of time-sensitive conditions such as postoperative acute lung injury.

Pulmonary toxicity related to systemic treatment of nonsmall cell lung cancer

Physicians who are responsible for the delivery of systemic treatment in lung cancer should be aware of the potential risk of drug-induced pulmonary toxicity (DIPT), because such toxicity may develop in the context of a multifactorial clinical condition. First, most patients with lung cancer may suffer from other non-neoplastic, smoking-related lung diseases, such as emphysema and chronic obstructive lung disease, which may generate pathologic changes in lung parenchyma. In addition, lung cancer itself may worsen the respiratory function, inducing atelectasis and lymphangitic carcinomatosis. The superimposed iatrogenic damage may lead to respiratory failure and, sometimes, death. The risk of DIPT from chemotherapeutic agents has been widely examined in the past; and, currently, the potential for lung toxicity has been extended by the introduction of molecular targeted therapies. Because there are no univocal criteria with which to recognize DIPT, the diagnosis often is made by exclusion; consequently, it is hard to establish an early diagnosis. The objective of this review was to describe the major DIPTs associated with antineoplastic agents against nonsmall cell lung cancer to help physicians with this difficult diagnostic challenge.

Early identification of patients at risk of acute lung injury: evaluation of lung injury prediction score in a multicenter cohort study

RATIONALE

Accurate, early identification of patients at risk for developing acute lung injury (ALI) provides the opportunity to test and implement secondary prevention strategies.

OBJECTIVES

To determine the frequency and outcome of ALI development in patients at risk and validate a lung injury prediction score (LIPS).

METHODS

In this prospective multicenter observational cohort study, predisposing conditions and risk modifiers predictive of ALI development were identified from routine clinical data available during initial evaluation. The discrimination of the model was assessed with area under receiver operating curve (AUC). The risk of death from ALI was determined after adjustment for severity of illness and predisposing conditions.

MEASUREMENTS AND MAIN RESULTS

Twenty-two hospitals enrolled 5,584 patients at risk. ALI developed a median of 2 (interquartile range 1-4) days after initial evaluation in 377 (6.8%; 148 ALI-only, 229 adult respiratory distress syndrome) patients. The frequency of ALI varied according to predisposing conditions (from 3% in pancreatitis to 26% after smoke inhalation). LIPS discriminated patients who developed ALI from those who did not with an AUC of 0.80 (95% confidence interval, 0.78-0.82). When adjusted for severity of illness and predisposing conditions, development of ALI increased the risk of in-hospital death (odds ratio, 4.1; 95% confidence interval, 2.9-5.7).

CONCLUSIONS

ALI occurrence varies according to predisposing conditions and carries an independently poor prognosis. Using routinely available clinical data, LIPS identifies patients at high risk for ALI early in the course of their illness. This model will alert clinicians about the risk of ALI and facilitate testing and implementation of ALI prevention strategies. Clinical trial registered with www.clinicaltrials.gov (NCT00889772).

Prehospitalization antiplatelet therapy is associated with a reduced incidence of acute lung injury: a population-based cohort study

BACKGROUND

Acute lung injury (ALI) is a potentially fatal lung disease with few treatment options. Platelet activation is a key component of ALI pathophysiology and may provide an opportunity for prevention strategies. We examined the association of prehospitalization antiplatelet therapy with development of ALI in critically ill patients.

METHODS

All Olmsted County, Minnesota, residents with a medical ICU admission in the year 2006 were evaluated. Patients with at least one major risk factor for ALI who did not meet criteria for ALI at the time of hospital admission were included in the analysis. Baseline characteristics, major risk factors for ALI, the presence of antiplatelet therapy at the time of hospitalization, and the propensity to receive this therapy were determined. The primary outcome was ALI or ARDS during the hospitalization. Secondary outcomes were ICU and hospital-free days and ICU and hospital mortality.

RESULTS

A total of 161 patients were evaluated. Seventy-nine (49%) were receiving antiplatelet therapy at hospital admission; 33 (21%) developed ALI/ARDS. Antiplatelet therapy was associated with a reduced incidence of ALI/ARDS (12.7% vs 28.0%; OR, 0.37; 95% CI, 0.16-0.84; P = .02). This association remained significant after adjusting for confounding variables.

CONCLUSIONS

Prehospitalization antiplatelet therapy was associated with a reduced incidence of ALI/ARDS. If confirmed in a more diverse patient population, these results would support the use of antiplatelet agents in an ALI prevention trial.