SciELO - Scientific Electronic Library Online

 
vol.38 número3-4Characteristics and Mortality of Incident Haemodialysis Patients: Analysis of a Portuguese CohortDrug‑Associated Nephrotic Syndrome: A Global Pharmacovigilance Perspective índice de autoresíndice de assuntosPesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Portuguese Kidney Journal (PKJ)

versão On-line ISSN 2976-0526

PKJ vol.38 no.3-4 Lisboa dez. 2024  Epub 12-Fev-2025

https://doi.org/10.71749/pkj.38 

ORIGINAL ARTICLE

NAU ‑ New Areas of Unifying Interest for CKD: A Multidisciplinary Expert Opinion Using the Jandhyala Method

Jorge Malheiro¹  2 
http://orcid.org/0000-0002-9625-5889

Francisco Araújo3 

Andreia Nunes 
http://orcid.org/0000-0001-6743-9868

Clara Almeida⁵ 

Inês Aires6 
http://orcid.org/0000-0001-6451-0331

João Pedro Nobre 
http://orcid.org/0009-0002-8491-7563

João Sérgio Neves 
http://orcid.org/0000-0002-8173-8255

Jordana Dias¹² 

Miguel Bigotte Vieira6  7 
http://orcid.org/0000-0003-0528-2716

Miguel Melo13  14 
http://orcid.org/0000-0002-8365-1380

Nuno Capela15 
http://orcid.org/0000-0001-9631-321X

Susana Heitor¹⁶ 
http://orcid.org/0000-0001-6313-6421

João Couceiro¹⁷ 
http://orcid.org/0000-0003-3640-1466

Hugo Martinho¹⁷ 

Leonor Luz‑Duarte18  19 
http://orcid.org/0000-0001-5116-5014

Tiago Taveira‑Gomes19  20  21  22 
http://orcid.org/0000-0002-0998-6000

1Nephrology Department, Centro Hospitalar e Universitário de Santo António, ULS de Santo António, Porto, Portugal

2Instituto de Ciências Biomédicas de Abel Salazar Universidade do Porto (ICBAS/UP), Porto, Portugal

3Internal Medicine Department, Hospital Lusíadas, Lisboa, Portugal

4Internal Medicine Department, Hospital Garcia de Orta EPE, Almada, Portugal

5Nephrology Department, Unidade Local de Saúde Gaia Espinho, Vila Nova de Gaia, Portugal

6Nephrology and Transplant Unit, Hospital Curry Cabral, Unidade Local de Saúde São José, Lisboa, Portugal

7NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal

8USF Rodrigues Miguéis, Unidade Local de Saúde de Santa Maria, ACeS Lisboa Norte, Lisboa, Portugal

9Endocrinology, Diabetes and Metabolism Department, Centro Hospitalar Universitário de São João, Unidade Local de Saúde de São João, Porto, Portugal

10Cardiovascular R&D Centre‑UnIC@RISE, Portugal

11Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal

12Guarda Customized Healthcare Unit, ACES Guarda, Unidade Local de Saúde da Guarda, Guarda, Portugal

13Endocrinology, Diabetes and Metabolism Department, Centro Hospitalar e Universitário de Coimbra, ULS Coimbra EPE, Coimbra, Portugal

14Faculty of Medicine, University of Coimbra, Coimbra, Portugal

15USF Serpa Pinto, ACeS Porto Ocidental, Unidade Local de Saúde de Santo António, Porto, Portugal

16Internal Medicine Department, Integrated Diabetes Unit, Hospital Prof Doutor Fernando Fonseca, Unidade Local Saúde de Amadora/Sintra, Amadora, Portugal

17AstraZeneca Portugal

18USF Caminho Novo, Unidade Local de Saúde Gaia Espinho, VNGaia, Portugal

19MTG Research and Development Lab, Porto, Portugal

20Department of Community Medicine, Health Information and Decision, Faculty of Medicine, University of Porto (MEDCIDS‑FMUP), Porto, Portugal

21Faculty of Health Sciences, Fernando Pessoa University (FCS‑UFP), Porto, Portugal

22Center for Health Technology and Services Research (CINTESIS), Porto, Portugal


Abstract

Introduction:

The global prevalence of chronic kidney disease (CKD) is rising exponentially. While patient awareness of CKD remains low, we studied the physicians’ awareness and how globally it can be improved. We aimed to evaluate the awareness and consensus of physicians on the screening, diagnosis and clinical management of CKD, thus identifying which areas should be the subject of educational or research programs.

Methods:

Participants experienced in scientific research and interested in CKD were divided into two groups: primary and secondary care physicians. They underwent the Awareness Round with four open questions, followed by a Consensus Round to rate their level of agreement using a five‑point Likert scale‑Jandhyala method.

Results:

Results showed varying levels of awareness and consensus among primary and secondary care physicians. Both groups identified diabetes and hypertension as major risk factors for CKD development and progression, with high consensus indexes (CI). However, glomerulopathies, polycystic kidney disease, and acute kidney injury had low awareness indexes (AI) but high CI, especially in secondary care. Key barriers to CKD diagnosis in primary care included physician inertia (AI 100%) and lack of articulation between specialties (AI 77%). In secondary care, therapeutic inertia (AI 100%) and socioeconomic factors (AI 84%) were significant limitations. Additionally, there was a notable disparity in the management of CKD between primary and secondary care. Primary care showed lower AI for promoting a healthy lifestyle (49%) and avoiding nephrotoxic drugs (25%) compared to secondary care (100% and 79%, respectively).

Conclusion:

There is a need for educational programs for physicians exploring topics such as polycystic kidney disease, glomerulopathies and acute kidney disease; as well as the implementation of initiatives focused on CKD referral and management.

Keywords: Awareness; Consensus; Renal Insufficiency, Chronic

INTRODUCTION

About 850 million people worldwide are affected by some form of kidney disease, exceeding other diseases, such as diabetes, osteoarthritis, chronic obstructive pulmonary disease (COPD), asthma, or depressive disorders.1,4Chronic kidney disease is currently defined by abnormalities of kidney structure, detected by imageology or histology, or abnormalities of kidney function for three or more months, assessed by eGFR5 and the presence of one or more markers of kidney damage.

The global prevalence of CKD is rising exponentially,5,9and it is estimated to affect around one in 10 individuals3,10,13and ~100 million Europeans.2 In the Portuguese population,5,14the prevalence of stage 1 to 5 CKD is 20.9%14 and for patients of stage ≥G3a/A1 CKD is estimated to be 9.8%,5,14with women more affected. Kidney disease has become the 10th leading global cause of death and is projected to become the fifth leading cause of death and the fifth most common global cause of Years of Life Lost by 2040.10,15,16The most common causes of CKD are hypertension and diabetes, but smoking, obesity, acute kidney injury,2,11,14,17,22infectious diseases, heavy metals, industrial and agricultural chemicals, high ambient temperatures, contaminants in food or drinking water, and other ingested substances such as nephrotoxic23-24drugs are important risk factors as well. Nowadays, screening for kidney disease is recommended for high‑risk populations including those with diabetes, hypertension, and HIV, and in regions where CKD is highly prevalent due to other causes.²⁶ Although proteinuria is easy to detect and potentially reduce with appropriate medication,¹³,²⁷ its monitoring in real‑world practice is low.²⁷ While CKD is a major burden on health systems,5,14accessibility remains a major barrier to its appropriate management.28,29Although screening can easily be accomplished by measuring serum creatinine and urinary albumin, less than 10% of patients are aware of their disease.30-33It is therefore essential for physicians to be aware of CKD’s risk factors, preventive measures, screening and referral criteria.13,34There is an urgent need to develop awareness and education programs in areas of lesser investment, as well as research projects to clarify issues on which there is still no scientific consensus.33,35,36In this study we sought to evaluate the level of awareness and consensus of physicians in topics concerning the screening, diagnosis and clinical management of CKD, in order to identify which areas related to CKD should be the subject of educational or research programs.

METHODS

The Jandhyala method is a novel process for assessing proportional group awareness and consensus on responses arising from a list‑generating questionnaire37 on a specific subject between experts.38 The Jandhyala method enhances the understanding of subject matter awareness across a group of experts and provides standardized categorization of items. This focus allows for a more detailed understanding of what experts know and agree upon, making it particularly useful for identifying educational gaps and areas requiring further research. This method uses an innovative approach that is distinct from other consensus methods and has already37 been used to develop other instruments.39,40It consists of two survey rounds. In the first round, the “Awareness Round”, participants provide free‑text responses to open‑ended questions, which are then thematically coded into mutually exclusive items. These items form the basis of a structured questionnaire used in the second round, the “Consensus Round” where participants rate their agreement using Likert scales. Item awareness, observed agreement, consensus and prompted agreement are then measured.37

Participants and Recruitment

A total of 100 physicians from all Portuguese regions, from different clinical settings and with different specialties were recruited using convenience sampling via professional networks and were invited to participate in the study between March and May of 2022. Of these, 98 participated in the Awareness Round (Supplementary Table 1) and 96 participated in the Consensus Round, two weeks later (44 from primary care ‑ Family Medicine; and 52 from secondary care ‑ 23 of Internal Medicine, 18 of Nephrology and 11 of Endocrinology). The results were evaluated in two groups: primary care and secondary care. To be included, participants had to have experience in scientific production and have CKD as an area of interest.

Supplementary Table 1.  Participants Characterization (n=98) 

Participants were informed that taking part in the study was voluntary and were given information about how to withdraw. Written informed consent was obtained from all participants after providing information about the study and before the study began. Responses were anonymized and Consensus Round list items were not identifiable to particular participants.

Awareness Round

During the Awareness Round survey, participants were asked to respond to a series of open short‑answer questions, via online, with no limit on the number of answers. In both groups the same questions were applied, except for question number three:

  1. What type of patient may be at increased risk of developing chronic kidney disease?

  2. What type of patient may be at increased risk of progression of chronic kidney disease?

  3. What are the factors that currently limit the ability to diagnose chronic kidney disease? (Primary Care)

  4. What are the factors that currently limit the ability to treat chronic kidney disease? (Secondary Care)

  5. What changes in clinical management in the patient after a diagnosis of chronic kidney disease?

The responses to the Awareness Round questionnaire were used to assess knowledge awareness by calculating the frequency of each coded item in relation to the overall most frequently occurring coded item ‑ the Awareness Index (AI). The compiled list of items were reviewed and refined by the investigators and included in Consensus Round as structured questionnaires.

Consensus Round

The participants who completed the Awareness Round were asked to participate in the Consensus Round online survey. They were asked to rate their level of agreement with the statements from the Awareness Round survey, using a five‑point Likert scale (Strongly agree, Agree, Neither agree nor disagree, Disagree, and Strongly disagree). Responses to the structured questionnaire in Consensus Round were used to determine observed consensus, proportional group awareness and the effect of prompting, i.e. persuasion after reading all items collected in Awareness Round.

The Consensus Index (CI) was calculated as the percentage of participants who agreed or strongly agreed with each statement in the Consensus Round.

Index Score (Jandhyala Score)

The Index Score was used to measure prompting during the Consensus Round. The concept of prompting was pre-specified to have occurred if the absolute difference between the AI and the CI was 0.05 (or 5%). Unprompted consensus was defined when a majority of participants suggested an item during the Awareness Round, and a majority of participants subsequently agreed or strongly agreed that the item was important in the Consensus Round. Any item that during the Awareness Round was suggested by only a few participants but was deemed to be important in the Consensus Round was considered as completely prompted.

Items with a CI >50% indicate that some education may be required in order to increase awareness about that item. Items with a CI <50% may indicate an opportunity to redefine these norms. The index score identifies items or areas either where more education is required (in the case of items not listed by the participants or listed by very few of them in the Awareness Round) or where more research is required (in the case of no observed agreement consensus for a statement in the Consensus Round).

The purpose of this methodology is not to force a consensus, but to evaluate the current knowledge and opinions of the selected experts. In order to have an opinion from which to form a consensus, a group of experts must first be aware of the key aspects of the subject of interest - without one there cannot be the other. The expert responses to the structured questionnaire allow the investigators to observe any consensus that arises and determine whether it is prompted or unprompted. The advantage of the anonymity of the participating experts mitigates the effect of dominant individuals, manipulation or compulsion to confer to certain viewpoints and preserves the independence in item generation during the Awareness Round.

Role of the Funding Source

This study was sponsored by AstraZeneca. The sponsor has contributed to the study design and to the decision to submit the paper for publication. The sponsor did not have a role in the collection, analysis, interpretation of data nor in the writing of the report.

RESULTS

After the two rounds, it was found that several items not mentioned by the participants in the Awareness Round (Table 1) obtained a high consensus index. In questions 1 and 2, there was agreement between the results obtained in the two groups ‑ primary and secondary care. On the other hand, questions 3 and 4 generated more disagreement (Figs. 18 and Supplementary Tables 25).

Table 1. Statements from Awareness Round and included terms. Statements refer to KDIGO guidelines. 

Figure 1. Awareness Index, Consensus Index and Jandhyala Score of Question 1 for Primary care. 

Figure 2. Awareness Index, Consensus Index and Jandhyala Score of Question 1 for Secondary care. 

Figure 3. Awareness Index, Consensus Index and Jandhyala Score of Question 2 for Primary care. 

Figure 4. Awareness Index, Consensus Index and Jandhyala Score of Question 2 for Secondary care. 

Figure 5. Awareness Index, Consensus Index and Jandhyala Score of Question 3 for Primary care. 

Figure 6. Awareness Index, Consensus Index and Jandhyala Score of Question 3 for Secondary care. 

Figure 7. Awareness Index, Consensus Index and Jandhyala Score of Question 4 for Primary care. 

Figure 8. Awareness Index, Consensus Index and Jandhyala Score of Question 4 for Secondary care. 

Supplementary Table 2.  Awareness Index (AI), Consensus Index (CI) and Jandhyala Score (JI) of Question 1 for Secondary care (SC) and Primary care (PC). 

Supplementary Table 3.  Awareness Index (AI), Consensus Index (CI) and Jandhyala Score (JI) of Question 2 for Secondary care (SC) and Primary care (PC). 

Supplementary Table 4.  Awareness Index (AI), Consensus Index (CI) and Jandhyala Score (JI) of Question 3 for Secondary care (SC) and Primary care (PC). 

Supplementary Table 5.  Awareness Index (AI), Consensus Index (CI) and Jandhyala Score (JI) of Question 4 for Secondary care (SC) and Primary care (PC). 

Awareness Round

The most frequently mentioned items in questions 1 and 2 were diabetes and hypertension (Figs. 1 to 4). Regarding question 1 ‑ What type of patient may be at increased risk of developing chronic kidney disease - diabetes was the most frequently mentioned, with an AI of 100% (Figs. 1 and 2). Family doctors referred to glomerulopathies more often than the colleagues from the hospital (53% vs 28%). Polycystic kidney disease had a very low AI in both groups of physicians (9% and 8%). Glomerulopathies and polycystic kidney disease are considered to be chronic kidney diseases themselves and many participants did not refer to them in the Awareness Round because they considered them part of CKD, leading to a false low AI. In the first question, the items mentioned should include risk factors and not different etiologies of CKD. For this reason, these two items were not included in the Consensus Round.

Acute kidney injury also had a very low AI in primary and secondary care (6% and 11%).

Regarding question 2 ‑What type of patient may be at increased risk of progression of chronic kidney disease ‑ diabetes and hypertension were the most frequently mentioned items by both groups, although in the group of primary care, hypertension only reached an AI of 71% (Figs. 3 and 4). Urologic disease had an AI of 28% by the secondary care specialties but reached 50% by family doctors. Proteinuria reached an AI of 28% in the secondary care specialties and 35% in primary care. Glomerulopathies also had low AI of 26% and 29%. Acute kidney injury had an AI of 35% in the secondary care group, but no awareness from primary care. Polycystic kidney disease also had very low AI among secondary care specialties (9%), but a higher one among family doctors (21%). Regarding question 3 for primary care ‑ What are the factors that currently limit the ability to diagnose chronic kidney disease ‑ the most common item was considered to be the physician’s inertia (AI 100%) and the second one was the lack of coordination between the various departments and primary and secondary care (AI 77%) (Fig. 5). In secondary care, (What are the factors that currently limit the ability to treat chronic kidney disease?), therapeutic inertia was also the item with the highest AI and the second one with an AI of 84% was illiteracy, adherence, socioeconomic factors (Fig. 6).

Regarding question 4 ‑What changes in clinical management in the patient after a diagnosis of chronic kidney disease ‑ promoting a healthy lifestyle had an AI of 100% by secondary care specialties, but only 49% AI in primary care. The avoidance of nephrotoxic drugs had an AI of 79% in secondary care, but only 25% in primary care (Figs. 7 and 8).

Consensus Round

All items generated from the Awareness Round were retained in the final measure, except Glomerulopathies and polycystic kidney disease in the first question. Most of the participants agreed or strongly agreed with the statements generated during the Awareness Round (Table 1). The AI, the CI and the Index Score or Jandhyala Score can be seen in Figs. 1 to 8. Regarding question 1 ‑ What type of patient may be at increased risk of developing chronic kidney disease ‑ diabetes had a CI of 100% in secondary care specialties and 97% in primary care, although Hypertension had a CI of 100% in both groups (Figs. 1 and 2). Some items showed a low AI, but a high CI, with a consequent high Index score, such as glomerulopathies, polycystic kidney disease and acute kidney injury.

Regarding question 2 ‑ What type of patient may be at increased risk of progression of chronic kidney disease ‑ glomerulopathies, polycystic kidney disease, nephrotoxic drugs, obstructive urologic pathology or malformation, acute kidney injury, elderly people, obesity and a non‑healthy lifestyle and proteinuria showed a low AI but a high CI and consequent high Index score (Figs. 3 and 4).

Regarding question 3 for primary care ‑ What are the factors that currently limit the ability to diagnose chronic kidney disease ‑ illiteracy, adherence, socioeconomic factors was the item with the highest index score of 50% (Fig. 5). In the secondary care group, in question 3 (What are the factors that currently limit the ability to treat chronic kidney disease?), the item with a higher Index score was therapeutic strategies (49% (Fig. 6)).

Regarding question 4 ‑ What changes in clinical management in the patient after a diagnosis of chronic kidney disease? ‑ in primary care, prescribing nephroprotective drugs, avoiding nephrotoxic drugs and referral had a low AI and a higher CI and Index Score, while in secondary care, the index scores were much lower (Figs. 7 and 8).

DISCUSSION

Disease Illiteracy

In general, the results showed a low awareness of some diseases, such as polycystic kidney disease, although it is responsible for 10% of end ‑stage renal disease (ESRD).41 We consider that its low frequency, hereditary nature, and high family clustering may lead to early referral to nephrology appointment, so non‑nephrologist colleagues may follow a reduced number of patients with this disease. The same circumstance may happen with some glomerulopathies, which are important causes of ESRD, but had a low AI in questions 1 and 2. Another explanation is the fact that these entities are considered to be chronic kidney diseases themselves and many participants did not refer to them in the Awareness Round, because they considered them part of CKD, leading to a false low AI. Development and progress may be misleading terms and there were different interpretations of the first question. Therefore, the items of polycystic kidney disease and glomerulopathies were removed from the Consensus Round in the first question.

A low AI of AKI as a risk factor for development and progression to CKD proved its under ‑recognition as a cause of CKD, although patients with AKI have a 9‑fold higher risk of CKD and 3‑fold higher risk of ESRD.42 The diagnosis of AKI occurs frequently in the nephrology/internal medicine setting, which leads to low exposure of non‑nephrologist colleagues to the common and validated phenomenon of the AKI‑CKD transition.

A low AI of proteinuria and glomerulopathies as contributors to CKD progression confirmed its low recognition. They are both relevant factors for progression, although proteinuria is common in several kidney disease mechanisms, including not only glomerulopathies but also other diseases. Thus, there is an opportunity to emphasize its role as a marker for diagnosis, progression and therapeutic target for CKD (anti‑proteinuria therapies), with an impact on the reduction of renal outcomes. The presence of proteinuria is associated with 10‑fold higher risk of CKD progression and 5‑fold higher risk of ESRD.43 A focus on expanding screening and longitudinal monitoring of proteinuria in primary care is essential and there should be protocols that would allow both greater adherence and better management of kidney disease by clinicians. In the case of glomerulopathies, the eminently nephrological nature and their relatively low prevalence partially explains these results.

In the future, awareness campaigns on risk factors for CKD should be conducted. We propose developing focused training programs on critical areas of CKD management, conducted through online modules, short workshops, or integrated into continuing medical education (CME) programs. Also, awareness‑raising activities in schools, workplaces, and community centers, supported by local health organizations, and comprehensive public awareness campaigns using various media channels can further increase understanding of CKD and early detection.

Referral/Networking

Access to health care had a medium AI and a lower CI, probably due to different points of view, depending on the department. It may be due to some difficulty in accessing nephrology appointments in some hospitals and also the low access in primary care, leading to a low diagnosis rate. Referral is the item where there is a lower CI, especially in primary care. This result may reflect different interpretations from different departments. Referral depends on the stage of CKD, its risk of progression, and access to a medical specialist. Aging is a significant risk factor for CKD, particularly in societies with a growing elderly population. Despite its importance, the role of aging in CKD is often underrecognized. Addressing this gap, it is crucial to implement targeted interventions for the elderly, including regular screening, early detection, and management of CKD, to improve outcomes in this vulnerable population.

Chronic kidney disease stages and their adjustment for age should be discussed as well as the criteria for referral of CKD to nephrology. There is a need to review the inter‑specialty referral criteria and a practical guide on CKD diagnosis and its different etiologies should be promoted.

Disease Management and Treatment

In question 3, awareness and therapeutic inertia had a high AI and CI, which represents a recognition of sometimes inadequate perception of the problem by colleagues and failure to apply appropriate diagnostic measures. More‑ over, the intrinsic limitation of creatinine and GFR formulas to detect incipient forms of CKD (particularly in elderly, highly comorbid and malnourished patients) and low adherence to serial assessment of proteinuria are aspects to be taken into account. Therapeutic strategies had a low AI in both groups, but especially in the primary care. While both primary and secondary care physicians are involved in both diagnosis and treatment processes, their day‑to‑day activities differ. Primary care focuses on early detection, ongoing monitoring, and initial management of CKD to ensure timely and accurate diagnoses. In this sense, therapeutic strategies play a minor role in the diagnostic capacity of CKD. In contrast, secondary care, concentrates on advanced treatment adjustments and managing complications. Understanding these distinct but complementary roles is crucial for optimizing CKD management across the healthcare continuum. Therefore, there is a need to strengthen communication between these two players. Promoting internships and training programs in Nephrology departments and in Primary care facilities for medical students and overall healthcare professionals, along with continuous education opportunities, can enhance practical knowledge and skills in CKD diagnosis and management. Additionally, mobile health applications can help patients monitor their health, receive medication reminders, and access educational content, supporting self‑management and treatment adherence. Utilizing electronic alerts to signal the achievement of a certain GFR threshold and easier and quicker referrals to nephrology is also a strategy to be considered.

In question 4, the use of nephroprotective drugs has a high CI, but a low AI. Training courses and interdisciplinary meetings in which the different specialties involved in the diagnosis and treatment of CKD can discuss strategies and create therapeutic algorithms adapted to the characteristics of subgroups of patients should be promoted. For example, it would be important to have pain management protocols for patients with chronic pain. In these protocols, nephrotoxic drugs with analgesic effects, such as NSAIDs, would be avoided and in patients with regular and high consumption of NSAIDs, regular CKD screening should be considered.

The promotion of a healthy lifestyle is one of the fundamental pillars of the work of primary health care professionals. Due to its transversality, it may not have been initially associated with the specific area of CKD, justifying the lower AI obtained.

Therapeutic adjustment, with the avoidance of nephrotoxic drugs and the implementation of nephroprotective measures, is essential in the management of CKD. A proposal for the future is to conduct a systematic review based on international guidelines to create an algorithm for the management of CKD at the primary care system and across different specialties.

Strengths and Limitations

The main strengths of this study were the inclusion of a high number of experts, from all over the country and from various specialties with different views of CKD. Since the topic presented several interpretations, starting from an open questionnaire allowed us to see the main areas of interest of the expert panel. The main limitation was the difficulty of categorizing the items from Awareness to Consensus Round. In the Awareness Round, participants answered open ‑ended questions, leading to many different answers that were difficult to integrate into categories. Additionally, the Jandhyala method allows a maximum of two rounds and no face‑to‑face meetings, denying the opportunity to discuss pertinent topics.38

CONCLUSION

Based on our results, there are some measures, such as educational programs, that can be taken in order to increase awareness of some items, specifically polycystic kidney disease, glomerulopathies and acute kidney disease. There was a recognition of sometimes inadequate perception of the problem by colleagues and failure to apply appropriate diagnostic measures and also a need to review the inter‑specialty referral criteria. These results seem to call for the implementation of initiatives focused on CKD referral and management.

There is also a need to train physicians to potentiate action for CKD in areas of high consensus and identify areas of disagreement.

The results also stress the need to advocate for equitable and affordable access to the entire spectrum of kidney care everywhere. Based on our study, we believe there is a high likelihood of success in implementing outreach projects or initiatives focused on CKD literacy, referral and disease management.

LEARNING POINTS/TAKE HOME MESSAGES

We detected a low awareness of polycystic kidney disease, glomerulopathies and acute kidney disease in healthcare professionals;

There was a recognition of sometimes inadequate perception of the problem by colleagues and failure to apply appropriate diagnostic measures and also a need to review the interspecialty referral criteria;

Based on our results, we consider there is a high likelihood of success in implementing outreach projects or initiatives focused on CKD literacy, referral and disease management.

ACKNOWLEDGEMENTS

The authors would like to thank the participants in the Expert Panel for actively participating in this study: Ana Catarina Esteves, Ana Correia Oliveira, Ana Filipa Abreu, Ana Filipa Rebelo, Ana Isabel Rodrigues, Ana Maia, André Raínho Dias, André Reis, Angela Cerqueira, Bruno Morrão, Carla Araújo, Carla Baptista, Carlos Bello, Carlos Franclim, Carolina Belino, Catarina Dias, Claúdia Amaral, Claudia Junqueira, Cristina Rodrigues, Davide Carvalho, Diogo Ramos, Diogo Soeiro, Dorothea Krusch, Edgar Almeida, Estevão Pape, Fernando Domingos, Filipe Cabral, Filipe Carvalheiro, Gil Silva, Gilberto Guimarães, Helder Ferreira, Henrique Sousa, Hugo Lopes, Ines Figueiredo, Isabel Lavadinho, Ivan Luz, Joana Louro, João Araújo Correia, João Girão, João Mário, João Ramos, Joaquim Calado, Joel Gomes, Jorge Dores, José Miguel Oliveira, Kevin Damião, Leila Cardoso, Lia Ferreira, Luis Andrade, Luís Freitas, Luis Mendonça, Manuel Alveirinho, Manuel Amoedo, Manuel Pereira, Manuel Pestana, Maria João Lopes, Mónica Reis, Noélia Santos, Nuno Craveiro, Óscar Barros, Paula Felgueiras, Paulo Santos, Paulo Subtil, Pedro Agnelo, Pedro Capelo, Pedro Martins Pereira, Pedro Tavares, Rafael Freitas, Ricardo Albuquerque, Ricardo Henriques, Rita Nortadas, Rogério Ferreira, Rosa Príncipe, Rui Carvalho, Rui Castro, Rui Garcia, Rui Marques, Rui Valente, Sérgio Lemos, Silvestre Abreu, Sofia Homem Melo Marques, Susana Côrte‑Real, Tiago Castanheiro, Tiago Maricoto, Vital Domingues and Vítor Nóbrega.

REFERENCES

1. GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392: 1789-58. doi: 10.1016/S0140-6736(18)32279-7. [ Links ]

2. GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990 -2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2020;395:709 -33. doi: 10.1016/S0140 -6736(20)30045 -3. [ Links ]

3. Jager KJ, Kovesdy C, Langham R, Rosenberg M, Jha V, Zoccali C. A single number for advocacy and communication -worldwide more than 850 million individuals have kidney diseases. Kidney Int. 2019;96:1048 -50. doi: 10.1016/j.kint.2019.07.012. [ Links ]

4. Bello AK, Johnson DW, Feehally J, Harris D, Jindal K, Lunney M, et al. Global Kidney Health Atlas (GKHA): design and methods. Kidney Int Suppl. 2017;7:145 -53. doi: 10.1016/j.kisu.2017.08.001. [ Links ]

5. Santos-Araújo C, Mendonça L, Carvalho DS, Bernardo F, Pardal M, Couceiro J, et al. Twenty years of real-world data to estimate chronic kidney disease prevalence and staging in an unselected population. Clin Kidney J. 2022;16:111-24. doi: 10.1093/ckj/sfac206. [ Links ]

6. Ng JK, Li PK. Chronic kidney disease epidemic: How do we deal with it? Nephrology. 2018;23 Suppl 4:116-20. doi: 10.1111/nep.13464. [ Links ]

7. Drey N, Roderick P, Mullee M, Rogerson M. A population-based study of the incidence and outcomes of diagnosed chronic kidney disease. Am J Kidney Dis. 2003;42:677-84. doi: 10.1016/s0272-6386(03)00916 -8. [ Links ]

8. Raymond NT, Zehnder D, Smith SC, Stinson JA, Lehnert H, Higgins RM. Elevated relative mortality risk with mild-to-moderate chronic kidney disease decreases with age. Nephrol Dial Transplant. 2007;22:3214- -20. doi: 10.1093/ndt/gfm396. [ Links ]

9. Hill NR, Fatoba ST, Oke JL, Hirst JA, O'Callaghan CA, Lasserson DS, et al. Global Prevalence of Chronic Kidney Disease - A Systematic Review and Meta-Analysis. PLoS One. 2016;11:e0158765. doi: 10.1371/jour- nal.pone.0158765. [ Links ]

10. World Health Organization. The top 10 causes of death (accessed 26 October 2022) Available at: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-deathLinks ]

11. Couser WG, Remuzzi G, Mendis S, Tonelli M. The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney Int. 2011;80:1258 -70. doi: 10.1038/ki.2011.368. [ Links ]

12. Coresh J, Hu JR, Bello AK, Feldman HI, Fogo AB, Ganji MR, et al. Action plan for determining and monitoring the prevalence of chronic kidney disease. Kidney Int Suppl. 2017;7:63 -70. doi: 10.1016/j. kisu.2017.07.002. [ Links ]

13. Vanholder R, Annemans L, Brown E, Gansevoort R, Gout -Zwart JJ, Lameire N, et al. Reducing the costs of chronic kidney disease while delivering quality health care: a call to action. Nat Rev Nephrol. 2017;13:393 -409. doi: 10.1038/nrneph.2017.63. [ Links ]

14. Vinhas J, Aires I, Batista C, Branco P, Brandão J, Nogueira R, et al. RENA Study: Cross-Sectional Study to Evaluate CKD Prevalence in Portugal. Nephron. 2020;144:479 -87. doi: 10.1159/000508678. [ Links ]

15. Foreman KJ, Marquez N, Dolgert A, Fukutaki K, Fullman N, McGaughey M, et al. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016-40 for 195 countries and territories. Lancet. 2018;392:2052-90. doi: 10.1016/S0140-6736(18)31694 -5. [ Links ]

16. GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980 -2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1736-88. doi: 10.1016/S0140-6736(18)32203-7. [ Links ]

17. Dunkler D, Kohl M, Heinze G, Teo KK, Rosengren A, Pogue J, et al. Modifiable lifestyle and social factors affect chronic kidney disease in high-risk individuals with type 2 diabetes mellitus. Kidney Int. 2015;87:784 -91. doi: 10.1038/ki.2014.370. [ Links ]

18. Fraser SD, Roderick PJ, May CR, McIntyre N, McIntyre C, Fluck RJ, et al. The burden of comorbidity in people with chronic kidney disease stage 3: a cohort study. BMC Nephrol. 2015;16:193. doi: 10.1186/s12882 -015 -0189 -z. Erratum in: BMC Nephrol. 2020;21:543. doi: 10.1186/s12882-020-02205-w. [ Links ]

19. Mok Y, Ballew SH, Matsushita K. Prognostic Value of Chronic Kidney Disease Measures in Patients With Cardiac Disease. Circ J. 2017;81:1075-84. [ Links ]

20. Valmadrid CT, Klein R, Moss SE, Klein BE. The risk of cardiovascular disease mortality associated with microalbuminuria and gross proteinuria in persons with older-onset diabetes mellitus. Arch Intern Med. 2000;160:1093 -100. doi: 10.1001/archinte.160.8.1093. [ Links ]

21. Yacoub R, Habib H, Lahdo A, Al Ali R, Varjabedian L, Atalla G, et al. Association between smoking and chronic kidney disease: a case control study. BMC Public Health. 2010;10:731. doi: 10.1186/1471-2458-10-731. [ Links ]

22. Lu JL, Molnar MZ, Naseer A, Mikkelsen MK, Kalantar-Zadeh K, Kovesdy CP. Association of age and BMI with kidney function and mortality: a cohort study. Lancet Diabetes Endocrinol. 2015;3:704-14. doi: 10.1016/S2213 -8587(15)00128 -X. [ Links ]

23. Soderland P, Lovekar S, Weiner DE, Brooks DR, Kaufman JS. Chronic kidney disease associated with environmental toxins and expo- sures. Adv Chronic Kidney Dis. 2010;17:254 -64. doi: 10.1053/j.ackd.2010.03.011. [ Links ]

24. Jha V, Garcia -Garcia G, Iseki K, Li Z, Naicker S, Plattner B, et al. Chronic kidney disease: global dimension and perspectives. Lancet. 2013;382:260-72. doi: 10.1016/S0140 -6736(13)60687 -X. Erratum in: Lancet. 2013;382:208. [ Links ]

25. Ekrikpo UE, Kengne AP, Bello AK, Effa EE, Noubiap JJ, Salako BL, et al. Chronic kidney disease in the global adult HIV -infected population: A systematic review and meta-analysis. PLoS One. 2018;13:e0195443. doi: 10.1371/journal.pone.0195443. [ Links ]

26. Luyckx VA, Cherney DZ, Bello AK. Preventing CKD in Developed Countries. Kidney Int Rep. 2020;5:263-77. doi: 10.1016/j.ekir.2019.12.003. [ Links ]

27. Bello AK, Ronksley PE, Tangri N, Kurzawa J, Osman MA, Singer A, et al. Quality of Chronic Kidney Disease Management in Canadian Primary Care. JAMA Netw Open. 2019;2:e1910704. doi: 10.1001/jamanetworkopen.2019.10704. [ Links ]

28. Chow CK, Nguyen TN, Marschner S, Diaz R, Rahman O, Avezum A, et al. Availability and affordability of medicines and cardiovascular outcomes in 21 high-income, middle-income and low-income countries. BMJ Glob Health. 2020;5:e002640. doi: 10.1136/bmjgh-2020-002640. [ Links ]

29. Khatib R, McKee M, Shannon H, Chow C, Rangarajan S, Teo K, et al. Availability and affordability of cardiovascular disease medicines and their effect on use in high-income, middle-income, and low-income countries: an analysis of the PURE study data. Lancet. 2016;387:61-9. doi: 10.1016/S0140-6736(15)00469-9. [ Links ]

30. Luyckx VA, Tonelli M, Stanifer JW. The global burden of kidney disease and the sustainable development goals. Bull World Health Organ. 2018;96:414-22D. [ Links ]

31. Ene -Iordache B, Perico N, Bikbov B, Carminati S, Remuzzi A, Perna A, et al. Chronic kidney disease and cardiovascular risk in six regions of the world (ISN -KDDC): a cross -sectional study. Lancet Glob Health. 2016;4:e307 -19. doi: 10.1016/S2214-109X(16)00071-1. [ Links ]

32. Whaley-Connell A, Shlipak MG, Inker LA, Kurella Tamura M, Bomback AS, Saab G, et al. Awareness of kidney disease and relationship to end -stage renal disease and mortality. Am J Med. 2012;125:661-9. doi: 10.1016/j.amjmed.2011.11.026. [ Links ]

33. Vanholder R, Annemans L, Bello AK, Bikbov B, Gallego D, Gansevoort RT, et al. Fighting the unbearable lightness of neglecting kidney health: the decade of the kidney. Clin Kidney J. 2021;14:1719-30. doi: 10.1093/ckj/sfab070. [ Links ]

34. Bello AK, Levin A, Manns BJ, Feehally J, Drueke T, Faruque L, et al. Effective CKD care in European countries: challenges and opportunities for health policy. Am J Kidney Dis. 2015;65:15-25. doi: 10.1053/j. ajkd.2014.07.033. [ Links ]

35. Eckardt KU, Coresh J, Devuyst O, Johnson RJ, Köttgen A, Levey AS, et al. Evolving importance of kidney disease: from subspecialty to global health burden. Lancet. 2013;382:158-69. doi: 10.1016/S0140-6736(13)60439 -0. [ Links ]

36. GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1545-602. doi: 10.1016/S0140-6736(16)31678-6. [ Links ]

37. Jandhyala R. A novel method for observing proportional group awareness and consensus of items arising from list -generating questioning. Curr Med Res Opin. 2020;36:883-93. doi: 10.1080/03007995.2020.1734920. [ Links ]

38. Jandhyala R. Delphi, non -RAND modified Delphi, RAND/UCLA appropriateness method and a novel group awareness and consensus methodology for consensus measurement: a systematic literature review. Curr Med Res Opin. 2020;36:1873-87. doi: 10.1080/03007995.2020.1816946. [ Links ]

39. Jandhyala R. Development and Validation of the Medical Affairs Pharmaceutical Physician Value (MAPPval) Instrument. Pharmaceut Med. 2022; 36: 47-57. doi: 10.1007/s40290-021-00413-9. [ Links ]

40. Jandhyala R. Design, validation and implementation of the post -acute (long) COVID-19 quality of life (PAC-19QoL) instrument. Health Qual Life Outcomes. 2021;19:229. doi: 10.1186/s12955-021-01862-1. [ Links ]

41. Perrone RD, Ruthazer R, Terrin NC. Survival after end -stage renal disease in autosomal dominant polycystic kidney disease: contribution of extrarenal complications to mortality. Am J Kidney Dis. 2001;38:777-84. [ Links ]

42. Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int. 2012;81:442-8. [ Links ]

43. Cravedi P, Remuzzi G. Pathophysiology of proteinuria and its value as an outcome measure in chronic kidney disease. Br J Clin Pharmacol. 2013;76:516-23. [ Links ]

Conflicts of Interest: The authors have no conflicts of interest to declare.

Financing Support: This study was sponsored by AstraZeneca. Study with scientific sponsorship of the Portuguese Society of Nephrology.

Confidentiality of Data: The authors declare that they have followed the protocols of their work center on the publication of data from patients.

Protection of Human and Animal Subjects: The authors declare that the procedures followed were in accordance with the regulations of the relevant clinical research ethics committee and with those of the Code of Ethics of the World Medical Association (Declaration of Helsinki as revised in 2013).

Provenance and Peer Review: Not commissioned; externally peer reviewed.

Contributorship Statement LLD and TTG: Bibliographical search, study design, data collection, analysis and interpretation of results, drafting of the article, critical reviewing of the content of the article. JC and HM: Study design, critical reviewing of the content of the article. JM, FA, AN, CA, IA, JPN, JSN, JD, MBV, ML, NC and SH: Critical reviewing of the content of the article. All authors approved the final version to be published.

© Author(s) (or their employer(s)) and PKJ 2024. Re‑use permitted under CC BY 4.0. (https://creativecommons.org/licenses/by/4.0/)

Received: April 01, 2024; Accepted: August 03, 2024

Corresponding Author: Leonor Luz‑Duarte | leonor.luzduarte@mtg.pt Rua Professor Joaquim Bastos, 102, 2A 4200‑604 Porto

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License