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This Monograph aims to provide the scientific community and the Regional Healthcare Service an up-to-date Atlas of mortality for the Campania Region (Southern Italy). The Atlas shows an overview of mortality through comparisons with national data and with intraregional macroareas. Maps presenting risk measures with municipal details are also provided.Both overall and cause-specific mortality data for the period 2006-2014 referred to people residing in Campania Region are analysed in this Atlas. Twenty-nine death causes (major causes and specific cancers) are studied; for each of them, it has been provided: • direct standardised rates (standard population EU 2013) referred to Italy, Campania Region, and the seven regional Local Health Units (LHUs); • standardised mortality ratios (SMRs), estimated on a regional basis, referred to every LHU; • years of life lost (number and rate) both on a regional and on LHU basis; • mortality rate trends for the period 2006-2014, including annual percentage changes (APCs) for Italy, Campania Region, and every LHU; • for every death cause, regional maps are provided also with municipal details for Relative Risks (RRs) and risk posterior probabilities (PPs) estimated through a Bayesian hierarchical model. Risk estimates are presented both crude and adjusted by socioeconomic deprivation index resulted from the 2011 Census of the Italian National Institute fo Statistics.In Campania Region, standardised mortality ratios (per 100,000; IC95%) higher than the national average have been recorded for the following causes: all causes of death: M: 1,233.3 (IC95% 1,227.9-1,238.9) vs 1,093.8 (IC95% 1,092.5-1,095.1); F: 826.1 (IC95% 822.6-829.7) vs 722.8 (IC95% 721.9-732.6); digestive system diseases: M: 51.2 (IC95% 50.2-52.3) vs 44.2 (IC95% 44.0-44.5); F: 35.8 (IC95% 35.1-36.6) vs 29,2 (IC95% 29.0-29.4); circulatory system diseases: M: 493.1 (IC95% 489.6-496.8) vs 404.3 (IC95% 403.5-405.1); F: 388.5 (IC95% 386.1-390.9) vs 296.5 (IC95% 295.9-297.0); genitourinary system diseases: M: 27.2 (IC95% 26.4-28.1) vs 21.9- (IC95% 21.7-22.1); F: 18.2 (IC95% 17.7-18.7) vs 13.7- (IC95% 13.5-13.8); endocrine and metabolic diseases: M: 60.0 (IC95% 58.8-61.2) vs 43.8 (IC95% 43.5-44.0); F: 60.7 (IC95% 59.8-61.7) vs 36.6 (IC95% 36.4-36.8); myocardial infarction: M: 71.1 (IC95% 69.8-72.4) vs 60.9 (IC95% 60.6-61.2); F: 38.2 (IC95% 37.4-39.0) vs 30.2-(IC95% 30.0-30.4); diabetes: M: 52.6 (IC95% 51.5-53.8) vs 35.1 (IC95% 34.9-35.3); F: 53.8 (IC95% 52.9-54.7) vs 28.6 (IC95% 28.4-28.8). On the other hand, mortality rates comparable to or lower than the national average are observed for the remaining causes of death, with different differences for gender. Mortality for cancer causes in Campania Region presents rates higher than the rates observed at national level in males for the following causes: all cancers: 380.4 (IC95% 377.5-383.3) vs 356.5 (IC95% 355.8-357.2); lung cancer: 112.5 (IC95% 110.9/114.0) vs 93.0 (IC95% 92.6-93.3);larynx cancer: 7.6 (IC95% 7.2-8.0) vs 5.5 (IC95% 5.4-5.6);bladder cancer: 25.1 (IC95% 24.4-25.9) vs 17.3 (IC95% 17.1-17.4); in females for the following causes: liver cancer: 3.8 (IC95% 3.6-4.1) vs 3.3 (IC95% 3.2-3.4);bladder cancer:: 3.5 (IC95% 3.3-3.7) vs 3.0 (IC95% 2.9-3.0). In Campania Region, mortality rates comparable to or lower than the national average are observed for the remaining cancer causes both in females and in males. For almost all the death causes, the highest mortality rates are observed in the three LHUs of Naples (Naples centre, Naples 2 North, Naples 3 South); for some death causes, also the Province of Caserta presents the highest mortality rates. It is worth noting that these areas are characterised by the highest urbanisation and regional population density, and by exposures to possible environmental risks. Time trend analyses highlight that regional and national trends are similar for almost all the examined death causes. In Campania Region, males present decreasing trends for all-cause mortality; for respiratory system, circulatory system, and digestive system diseases; for all malignant cancers; for lung, prostate, and stomach cancers; for leukaemias. On the other hand, an increasing trend is shown for liver cancer. Trends for genitourinary system and nervous system diseases are almost unchanged; the same is for blood diseases and haemolymphopoietic system cancers. In females, there is a decreasing mortality trend for all causes, for circulatory system and digestive system diseases; for haemolymphopoietic system and stomach cancers; on the contrary, an increasing trend is highlighted for communicable diseases and lung and liver cancer, mirroring the national situation. Trends for respiratory system, genitourinary system, nervous system diseases; blood diseases; all malignant cancers; kidney and breast cancers; leukaemias are almost unchanged. The analysis of mortality data on municipal basis reported that the most excesses in mortality risk occur in the municipalities included in the area with the highest urban development of Naples and, partly, in the municipalities of the Caserta Province. The distribution of the excesses at municipal level is not homogeneous in Campania Region, but there are relevant intermunicipal differences related to the considered causes of death. This heterogeneity in the distribution of excess risk is a characteristic also of the area called Terra di fuochi (Land of fires), both for overall mortality and for mortality by gender.Mortality data are a valuable support to the analysis of the population health conditions. Excesses in general mortality and for some specific causes found in Campania Region vs Italy in 2006-2014 suggest that in this region there is a need to implement more strict intervention in terms both of primary prevention (for individuals and the environment) and of management of the whole care and clinical pathway of some pathologies, bearing in mind the burden of regional structural and economic factors on these excesses. The highest excesses in mortality in Campania Region have been found in the areas with the highest degree of urbanisation: this confirms the national data of a different distribution of diseases - and mortality - in the areas characterised by high urban development compared to rural areas. Finally, cause-specific mortality maps at municipal level, extended to the whole region, could enable to identify possible critical issues which may need epidemiological studies focused on possible local factors of environmental pressure.

ObjectivesTo assess the accuracy ofInternational Classification of Diseases, Ninth Revision – Clinical Modification(ICD-9-CM) codes in identifying subjects with colorectal cancer.DesignA diagnostic accuracy study comparing ICD-9-CM codes (index test) for colorectal cancers with medical chart (as a reference standard). Case ascertainment based on neoplastic lesion(s) within the colon/rectum and histological documentation from a primary or metastatic site positive for colorectal cancer.SettingAdministrative databases from the Umbria region, Azienda Sanitaria Locale (ASL) Napoli 3 Sud (NA) region and Friuli Venezia Giulia (FVG) region.ParticipantsWe randomly selected 130 incident patients from each hospital discharge database, admitted between 2012 and 2014, having colorectal cancer ICD-9 codes located in primary position, and 94 non-cases, that is, patients having a diagnosis of cancer (ICD-9 140–239) other than colorectal cancer in primary position.Outcome measuresSensitivity, specificity and predictive values for 153.x code (colon cancer) and for 154.x code (rectal cancer).ResultsThe positive predictive value (PPV) for colon cancer diagnoses was 80% for Umbria (95% CI 73% to 87%), 81% for NA (95% CI 73% to 88%) and 80% for FVG (95% CI 72% to 87%).The sensitivity ranged from 98% to 99%, while the specificity ranged from 78% to 80% in the three units.For rectal cancer, the PPV was 84% for Umbria (95% CI 77% to 90%), 80% for NA (95% CI 72% to 87%) and 81% for FVG (95% CI 73% to 87%). The sensitivities ranged from 98% to 100%, while the specificity estimates from 79% to 82%.ConclusionsAdministrative databases in Italy can be a valuable tool for cancer surveillance as well as monitoring geographical and temporal variation of cancer practice.

Objectives To assess the accuracy of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes in identifying subjects with melanoma. Design A diagnostic accuracy study comparing melanoma ICD-9-CM codes (index test) with medical chart (reference standard). Case ascertainment was based on neoplastic lesion of the skin and a histological diagnosis from a primary or metastatic site positive for melanoma. Setting Administrative databases from Umbria Region, Azienda Sanitaria Locale (ASL) Napoli 3 Sud (NA) and Friuli Venezia Giulia (FVG) Region. Participants 112, 130 and 130 cases (subjects with melanoma) were randomly selected from Umbria, NA and FVG, respectively; 94 non-cases (subjects without melanoma) were randomly selected from each unit. Outcome measures Sensitivity and specificity for ICD-9-CM code 172.x located in primary position. Results The most common melanoma subtype was malignant melanoma of skin of trunk, except scrotum (ICD-9-CM code: 172.5), followed by malignant melanoma of skin of lower limb, including hip (ICD-9-CM code: 172.7). The mean age of the patients ranged from 60 to 61 years. Most of the diagnoses were performed in surgical departments. The sensitivities were 100% (95% CI 96% to 100%) for Umbria, 99% (95% CI 94% to 100%) for NA and 98% (95% CI 93% to 100%) for FVG. The specificities were 88% (95% CI 80% to 93%) for Umbria, 77% (95% CI 69% to 85%) for NA and 79% (95% CI 71% to 86%) for FVG. Conclusions The case definition for melanoma based on clinical or instrumental diagnosis, confirmed by histological examination, showed excellent sensitivities and good specificities in the three operative units. Administrative databases from the three operative units can be used for epidemiological and outcome research of melanoma.

Background The incidence of hepatocellular carcinoma (HCC) and its association with hepatitis C (HCV) and hepatitis B virus (HBV) infections, FIB-4 index and liver enzymes was assessed in an area of the province of Naples covered by a population-based cancer registry. Methods We conducted a cohort investigation on 4492 individuals previously enrolled in a population-based seroprevalent survey on HCV and HBV infections. The diagnosis of HCC was assessed through a record linkage with the cancer registry. Hepatic metabolic activity was measured through serum alanine transaminase, aspartate aminotransferase, gamma-glutamyl-transferase, and platelet. The FIB-4 index was used as a marker of fibrosis. We computed HCC incidence rates (IR) for 100,000 (105) person-years of observation, and multivariable hazard ratios (HR) with 95 % confidence intervals (CI) to assess risk factors for HCC. Results Twenty two cases of HCC were diagnosed during follow-up (IR = 63.3 cases/105). Significantly increased HCC risks were documented in individuals with higher than normal liver enzymes and low platelet count; in the 239 HCV RNA-positives (HR = 61.8, 95 % CI:13.3–286); and in the 95 HBsAg-positives (HR = 75.0) –as compared to uninfected individuals. The highest FIB-4 score was associated with a 17.6-fold increased HCC risk. Conclusions An elevated FIB-4 index turned out to be an important predictor of HCC occurrence. Although the standard method to assess hepatic fibrosis in chronic hepatitis remains the histologic staging of liver biopsy specimen, the assessment of FIB-4 in HCV RNA-positive individuals may help in identifying the highest HCC-risk individuals who need anti-HCV treatment most urgently.

Objectives To assess the accuracy of International Classification of Diseases 9th Revision–Clinical Modification (ICD-9-CM) codes in identifying subjects with lung cancer. Design A cross-sectional diagnostic accuracy study comparing ICD-9-CM 162.x code (index test) in primary position with medical chart (reference standard). Case ascertainment was based on the presence of a primary nodular lesion in the lung and cytological or histological documentation of cancer from a primary or metastatic site. Setting Three operative units: administrative databases from Umbria Region (890 000 residents), ASL Napoli 3 Sud (NA) (1 170 000 residents) and Friuli Venezia Giulia (FVG) Region (1 227 000 residents). Participants Incident subjects with lung cancer (n=386) diagnosed in primary position between 2012 and 2014 and a population of non-cases (n=280). Outcome measures Sensitivity, specificity and positive predictive value (PPV) for 162.x code. Results 130 cases and 94 non-cases were randomly selected from each database and the corresponding medical charts were reviewed. Most of the diagnoses for lung cancer were performed in medical departments. True positive rates were high for all the three units. Sensitivity was 99% (95% CI 95% to 100%) for Umbria, 97% (95% CI 91% to 100%) for NA, and 99% (95% CI 95% to 100%) for FVG. The false positive rates were 24%, 37% and 23% for Umbria, NA and FVG, respectively. PPVs were 79% (73% to 83%)%) for Umbria, 58% (53% to 63%)%) for NA and 79% (73% to 84%)%) for FVG. Conclusions Case ascertainment for lung cancer based on imaging or endoscopy associated with histological examination yielded an excellent sensitivity in all the three administrative databases. PPV was moderate for Umbria and FVG but lower for NA.