Acute Kidney Injury in Patients with Cancer

Severe acute kidney injury following major liver resection without portal clamping: incidence, risk factors, and impact on short-term outcomes

BACKGROUND

Acute kidney injury (AKI) following major hepatectomy (MH) remains inadequately investigated. This retrospective study aimed to assess the risk factors and prognostic value of AKI on short-term outcomes following MH without portal pedicle clamping.

METHODS

From January 2014 through June 2017, 111 consecutive patients underwent MH without portal pedicle clamping, but with intraoperative low-crystalloid infusion. Kidney Disease Improving Global Outcomes stages II and III were classified as severe AKI.

RESULTS

A total of 102 patients did not develop AKI or only AKI stage I (92%, control group), whereas 9 patients developed severe AKI (8%, severe AKI group). Hepatectomy (P = 0.002) and surgery (P = 0.011) durations were longer in the severe AKI group. Clavien-Dindo grades 3 to 5 morbidity (55% versus 9%, P = 0.001), liver failure (P = 0.017), and 90-day mortality (33% versus 2%, P = 0.003) were significantly higher in the severe AKI group. After a multivariate analysis, the duration of hepatectomy (cut-off: 250 min; P = 0.029) and urea serum levels on postoperative day 3 (P = 0.006) were identified as independent predictors of severe AKI.

DISCUSSION

Severe AKI, is common with increased duration of hepatectomy, was associated with poor short-term outcomes, and can be predicted by operative duration greater than 250 minutes.

Nephrotoxicity of Cancer Immunotherapies: Past, Present and Future

Nephrotoxicity from cancer therapies is common and increasingly encountered in clinical practice, such that the subfield of "onco-nephrology" has emerged. Conventional chemotherapeutic drugs and novel agents targeting specific genes/proteins are effective cancer therapies but suffer from a number of adverse kidney effects. An effective avenue of cancer treatment is immunotherapy, which uses drugs that augment immune system-mediated recognition and targeting of tumor cells. As such, leveraging the immune system to target malignant cells represents an important modality in eradicating cancer. IFN and high-dose IL-2 are older immunotherapies used in clinical practice to treat various malignancies, whereas new cancer immunotherapies have emerged over the past decade that offer even more effective treatment options. The immune checkpoint inhibitors are an exciting addition to the cancer immunotherapy armamentarium. Chimeric antigen receptor T cells are also a new immunotherapy used to treat various hematologic malignancies. However, as with the conventional and targeted cancer agents, the immunotherapies are also associated with immune-related adverse effects, which includes nephrotoxicity.

Predicting acute kidney injury in cancer patients using heterogeneous and irregular data

How can we predict the occurrence of acute kidney injury (AKI) in cancer patients based on machine learning with serum creatinine data? Given irregular and heterogeneous clinical data, how can we make the most of it for accurate AKI prediction? AKI is a common and significant complication in cancer patients, and correlates with substantial morbidity and mortality. Since no effective treatment for AKI still exists, it is important to take timely preventive measures. While several approaches have been proposed for predicting AKI, their scope and applicability are limited as they either assume regular data measured over a short hospital stay, or do not fully utilize heterogeneous data. In this paper, we provide an AKI prediction model with a greater applicability, which relaxes the constraints of existing approaches, and fully utilizes irregular and heterogeneous data for learning the model. In a cohort of 21,022 cancer patients who were registered into Korea Central Cancer Registry (KCCR) in Seoul National University Hospital between January 1, 2004 and December 31, 2013, our method achieves 0.7892 precision, 0.7506 recall, and 0.7576 F-measure in predicting whether a patient will develop AKI during the next 14 days.

Acute kidney injury and electrolyte disorders in the critically ill patient with cancer

PURPOSE OF REVIEW

Patients with cancer increasingly make up a significant proportion of patients receiving care in the intensive care unit (ICU). Acute kidney injury and cancer-associated electrolyte disorders are encountered in many of these patients and can significantly impact both short-term and long-term outcomes.

RECENT FINDINGS

Advances in chemotherapeutic regimens as well as in our understanding of cancer-associated kidney disease highlight the need for specialized knowledge of the unique causes and therapies required in this subset of critically ill patients. This is especially the case as targeted cancer therapies may have off-target effects that need to be recognized in a timely manner.

SUMMARY

This review outlines key knowledge areas for critical care physicians and nephrologists caring for patients with cancer and associated kidney issues such as acute kidney injury and electrolyte disorders. Specifically, understanding kidney-specific effects of new chemotherapeutic approaches is outlined, and provides an up-to-date compendium of these effects.

Causes of Death after a Hospitalization with AKI

Mortality after AKI is high, but the causes of death are not well described. To better understand causes of death in patients after a hospitalization with AKI and to determine patient and hospital factors associated with mortality, we conducted a population-based study of residents in Ontario, Canada, who survived a hospitalization with AKI from 2003 to 2013. Using linked administrative databases, we categorized cause of death in the year after hospital discharge as cardiovascular, cancer, infection-related, or other. We calculated standardized mortality ratios to compare the causes of death in survivors of AKI with those in the general adult population and used Cox proportional hazards modeling to estimate determinants of death. Of the 156,690 patients included, 43,422 (28%) died in the subsequent year. The most common causes of death were cardiovascular disease (28%) and cancer (28%), with respective standardized mortality ratios nearly six-fold (5.81; 95% confidence interval [95% CI], 5.70 to 5.92) and eight-fold (7.87; 95% CI, 7.72 to 8.02) higher than those in the general population. The highest standardized mortality ratios were for bladder cancer (18.24; 95% CI, 17.10 to 19.41), gynecologic cancer (16.83; 95% CI, 15.63 to 18.07), and leukemia (14.99; 95% CI, 14.16 to 15.85). Along with older age and nursing home residence, cancer and chemotherapy strongly associated with 1-year mortality. In conclusion, cancer-related death was as common as cardiovascular death in these patients; moreover, cancer-related deaths occurred at substantially higher rates than in the general population. Strategies are needed to care for and counsel patients with cancer who experience AKI.

Primary Urinary Tract Lymphoma: Rare but Aggressive

BACKGROUND

Primary urinary tract lymphoma (PUTL) is an uncommon disease with only a few case reports in the literature.

MATERIALS AND METHODS

Information about 1,264 patients diagnosed between 1983 and 2013 with PUTL was extracted from the Surveillance, Epidemiology and End Results database. Kaplan-Meier curves and multivariable regression analysis were used to analyze the survival and identify prognostic factors. A comparison of nodal diffuse large B-cell lymphoma (DLBCL) with PUTL DLBCL was performed. In addition, we compared the characteristics of kidney and bladder lymphoma.

RESULTS

PUTL incidence was 1 case/1,000,000 people per year. DLBCL was found to be the predominant histology. Five-year overall survival and cancer-specific survival were 49% and 58%, respectively. DLBCL histology, male gender, stage III-IV disease, and advanced age were found to be poor prognostic factors. Surgery may be beneficial. Urinary tract DLBCL has a worse prognosis than nodal DLBCL.

CONCLUSION

To our knowledge, this is the largest population-based study of PUTL in the literature. The survival of patients has not improved in the era of modern therapies therefore new treatments are needed.