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NEW QUESTION # 34
What diagnoses are included in code category N18, chronic kidney disease?
Answer: D
Explanation:
ICD-10-CM category N18 (Chronic kidney disease) is used to report CKD by stage, including stage-based descriptors and end stage renal disease (ESRD). Within N18, codes identify CKD stage 1 through stage 5, ESRD (stage 5D), and CKD unspecified. Outpatient CDI review focuses on ensuring providers document the stage (often supported by eGFR trends) because stage drives correct code selection and accurately reflects disease severity for risk, quality, and medical necessity. Options that include dialysis are not part of N18 itself; dialysis status and encounter codes are reported elsewhere (e.g., dialysis dependence/status codes), not as N18 category diagnoses. AKI (acute kidney injury) and ATN (acute tubular necrosis) are acute renal conditions and are coded outside N18. Likewise, polycystic kidney disease and "uremia" are separate diagnoses with their own code categories. Therefore, the set that correctly matches what N18 represents is CKD stage-based diagnoses such as CKD stage 3, more advanced/severe CKD stages, and ESRD.
NEW QUESTION # 35
Which of the following lab values, when trended for greater than 3 months, indicates an objective measure of chronic kidney damage?
Answer: C
Explanation:
Chronic kidney disease (CKD) is defined by evidence of kidney damage or reduced kidney function that persists for at least three months. An estimated glomerular filtration rate (eGFR/GFR) below 60 mL/min sustained over that timeframe is an objective indicator of chronically decreased renal function and supports CKD identification and staging in the outpatient record. This is why outpatient CDI programs frequently use trended eGFR as a clinical indicator to prompt documentation of CKD stage (e.g., stage 3a/3b, stage 4, etc.) when appropriate. BNP >1000 is more aligned with heart failure severity/volume status rather than kidney damage. BUN <12 is within/near normal and does not indicate renal impairment (elevated BUN may be seen with renal dysfunction but is less specific and affected by hydration, diet, GI bleed). Glucose >100 is a screening indicator for impaired fasting glucose/prediabetes but does not, by itself, establish chronic kidney damage. Therefore, sustained GFR <60 is the best objective lab-based measure of chronic kidney damage over time.
NEW QUESTION # 36
In February, a patient is diagnosed with prostate cancer, which is classified as HCC 23. In October, the patient is diagnosed with prostate cancer with bone metastases, which is classified as HCC 18. Which of the following is true about the patient's risk score?
Answer: B
Explanation:
In the CMS-HCC model, many related conditions are organized into hierarchies so that only the most severe manifestation within a disease family contributes to the RAF. This prevents double counting when multiple codes describe progressive severity of the same underlying condition. Cancer categories are a common example: a diagnosis reflecting metastatic disease represents substantially higher expected resource utilization than a diagnosis of localized/primary malignancy. In this scenario, the February prostate cancer maps to a lower-severity HCC (HCC 23), while the October documentation of prostate cancer with bone metastases maps to a higher-severity HCC (HCC 18). When both are captured within the applicable period, the hierarchy logic retains the higher-weighted metastatic category and suppresses the lower category. The timing of which was coded first does not control the hierarchy outcome, and both HCCs are not counted together when they fall within the same hierarchical grouping. Therefore, the patient's risk score calculation reflects HCC 18 rather than HCC 23.
NEW QUESTION # 37
In which of the following situations would a yes/no query format be considered compliant?
Answer: B
Explanation:
A yes/no query format is considered compliant when it is used to resolve a clear documentation conflict and the provider is being asked to confirm which statement accurately reflects the patient's condition for that encounter. In these situations, the intent is not to introduce a new diagnosis or steer the provider toward a particular coded outcome, but to reconcile inconsistent information already present in the record (e.g., one clinician documents a condition and another documents the opposite, or different notes describe different statuses). A focused yes/no confirmation can be appropriate because the clinical question is essentially binary: which interpretation is correct. By contrast, obtaining a new diagnosis generally requires an open-ended or multiple-choice format with balanced options (including "unable to determine") and strong encounter-specific indicators to avoid leading. Likewise, organism specification and acuity clarification often involve more than two clinically valid possibilities (different organisms, acute vs chronic vs acute-on-chronic, etc.), making yes/no overly restrictive and potentially leading. Therefore, resolving conflicting documentation is the best fit for a compliant yes/no query.
NEW QUESTION # 38
A CDI specialist manager is reviewing the productivity metrics of the outpatient team and notes that one of the CDI specialists has a high query rate and a good physician response, but a low physician agree rate compared to the rest of the team. This likely indicates which of the following?
Answer: D
Explanation:
A high query rate with a strong physician response rate shows the CDI specialist is generating many queries and providers are opening/responding to them. However, a consistently low agree rate indicates providers frequently select "disagree," "clinically undetermined," or otherwise do not validate the query's suggested clarification. In outpatient CDI program management, that pattern most often reflects query quality problems-for example, queries that are not well-supported by encounter-specific clinical indicators, queries that are vague or overly speculative, or queries that do not align with outpatient reportability standards (e.g., prompting for diagnoses not clearly monitored/evaluated/assessed/treated). While leading queries are a compliance concern, the more direct operational inference from "high volume + answered + not agreed with" is that the queries are not clinically compelling or are poorly constructed, resulting in frequent provider non-concurrence. Case complexity alone would not reliably drive low agree rates if the queries were appropriately targeted and evidence-based. Therefore, the most likely interpretation is poor-quality queries requiring coaching on clinical support, clarity, and compliant construction.
NEW QUESTION # 39
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